Alternatives to NVIDIA Magnum IO
Compare NVIDIA Magnum IO alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to NVIDIA Magnum IO in 2026. Compare features, ratings, user reviews, pricing, and more from NVIDIA Magnum IO competitors and alternatives in order to make an informed decision for your business.
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1
PeerGFS
Peer Software
One Solution to Simplify File Management and Orchestration Across Edge, Data Center, and Cloud Storage PeerGFS is a software-only solution developed to solve file management/file replication challenges in multi-site, multi-platform, and hybrid multi-cloud environments. With over 25 years of experience in geographically dispersed file replication, we help organizations: - Improve availability through Active-Active data centers (on-premises and/or in the cloud) - Protect data at the Edge with Continuous Data Protection to the data center - Increase productivity for distributed project teams with fast, local access to file data Today’s always-on world requires real-time data infrastructure with 24x7x365 availability. PeerGFS works with the storage systems you already have deployed and support: - High volume data replication between well-connected data centers - Wide area networks with limited bandwidth and higher latency PeerGFS is easy to install and manage. -
2
NVIDIA RAPIDS
NVIDIA
The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently. -
3
GIGABYTE High Density Server
GIGABYTE
Compute, storage, and networking are possible in high-density, multi-node servers at lower TCO and greater efficiency. High-Performance Computing (HPC), Hyper-Converged Infrastructure (HCI), edge computing, and file storage. -
4
NVIDIA Base Command
NVIDIA
NVIDIA Base Command™ is a software service for enterprise-class AI training that enables businesses and their data scientists to accelerate AI development. Part of the NVIDIA DGX™ platform, Base Command Platform provides centralized, hybrid control of AI training projects. It works with NVIDIA DGX Cloud and NVIDIA DGX SuperPOD. Base Command Platform, in combination with NVIDIA-accelerated AI infrastructure, provides a cloud-hosted solution for AI development, so users can avoid the overhead and pitfalls of deploying and running a do-it-yourself platform. Base Command Platform efficiently configures and manages AI workloads, delivers integrated dataset management, and executes them on right-sized resources ranging from a single GPU to large-scale, multi-node clusters in the cloud or on-premises. Because NVIDIA’s own engineers and researchers rely on it every day, the platform receives continuous software enhancements. -
5
Sangfor aStor
Sangfor
Sangfor aStor is a software‑defined storage solution that unifies block, file, and object storage into a single, elastically expandable resource pool using a fully symmetrical distributed architecture, enabling on‑demand allocation of high‑performance and cost‑optimized, large‑capacity tiers to suit diverse service requirements. Available as either integrated hardware‑software or standalone software, it scales from just three commodity x86 nodes and supports cloud‑scale clusters of thousands of nodes with EB‑level capacity expansion. Its multi‑node parallel processing and intelligent caching (using RDMA, SSD hot‑data cache, and layering) deliver extremely high throughput, IOPS, and small‑IO performance, boosting cache hit rates to 90% and small‑IO handling by up to 65%, while distributed metadata management ensures jitter‑free handling of billions of files. -
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NVIDIA HPC SDK
NVIDIA
The NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries and software tools essential to maximizing developer productivity and the performance and portability of HPC applications. The NVIDIA HPC SDK C, C++, and Fortran compilers support GPU acceleration of HPC modeling and simulation applications with standard C++ and Fortran, OpenACC® directives, and CUDA®. GPU-accelerated math libraries maximize performance on common HPC algorithms, and optimized communications libraries enable standards-based multi-GPU and scalable systems programming. Performance profiling and debugging tools simplify porting and optimization of HPC applications, and containerization tools enable easy deployment on-premises or in the cloud. With support for NVIDIA GPUs and Arm, OpenPOWER, or x86-64 CPUs running Linux, the HPC SDK provides the tools you need to build NVIDIA GPU-accelerated HPC applications. -
7
Machbase
Machbase
Machbase, a time-series database that stores and analyzes a lot of sensor data from various facilities in real time, is the only DBMS solution that can process and analyze big data at high speed. Experience the amazing speed of Machbase! It is the most innovative product that enables real-time processing, storage, and analysis of sensor data. High speed sensor data storage and inquiry for sensor data by embedding DBMS in an Edge devices. Best data storage and extraction performance by DBMS running in a single server. Configuring Multi-node cluster with the advantages of availability and scalability. Total management solution of Edge computing for device, connectivity and data. -
8
NVIDIA virtual GPU
NVIDIA
NVIDIA virtual GPU (vGPU) software enables powerful GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization as well as the performance of NVIDIA GPUs required for modern workloads. Installed on a physical GPU in a cloud or enterprise data center server, NVIDIA vGPU software creates virtual GPUs that can be shared across multiple virtual machines, and accessed by any device, anywhere. Deliver performance virtually indistinguishable from a bare metal environment. Leverage common data center management tools such as live migration. Provision GPU resources with fractional or multi-GPU virtual machine (VM) instances. Responsive to changing business requirements and remote teams. -
9
NuoDB
NuoDB
The world is moving to distributed applications and architectures, and your database should too. Learn how you can deploy where you want, when you want, and how you want with a distributed SQL database. Migrate existing SQL applications to a distributed, multi-node architecture that can dynamically scale out and in. Our Transaction Engines (TEs) and Storage Managers (SMs) work together to ensure ACID compliance across multiple nodes. Deploy in a distributed architecture. When you deploy your database with multiple nodes, the loss of one or multiple nodes will not result in the loss of database access. Deploy TEs and SMs to meet your variable workload needs, or deploy in the different environments the teams in your organization uses: in private and public clouds, in hybrid environments, and across clouds. -
10
DRBD
LINBIT
DRBD® (Distributed Replicated Block Device) is an open source, software‑based, shared‑nothing block storage replication solution for Linux, designed primarily to deliver high-performance, high‑availability (HA) data services by mirroring local block devices between nodes in real time, either synchronously or asynchronously. Implemented deep in the Linux kernel as a virtual block‑device driver, DRBD ensures local read performance with efficient write‑through replication to peer(s). User‑space utilities like drbdadm, drbdsetup, and drbdmeta enable declarative configuration, metadata management, and administration across installations. Originally built for two‑node HA clusters, DRBD 9.x extends support to multi‑node replication and integration into software‑defined storage (SDS) systems such as LINSTOR, making it suitable for cloud‑native environments.Starting Price: Free -
11
QCT STRATOS
QCT
QCT (Quanta Cloud Technology) STRATOS servers are a comprehensive family of hyperscale, software-defined data center solutions designed to meet the evolving demands of cloud computing, storage, and networking workloads. The STRATOS series encompasses a wide range of server form factors, including rackmount, blade, and multi-node servers, offering versatile and customizable configurations to address diverse deployment requirements. With a focus on energy efficiency, high density, and scalability, QCT STRATOS servers are optimized for use in large-scale data centers, cloud service providers, and high-performance computing (HPC) environments. Key features of the STRATOS series include support for the latest Intel or AMD processors, high-capacity memory configurations, flexible storage options, and innovative thermal management for optimal performance. QCT's STRATOS servers also emphasize ease of management and integration with software-defined infrastructure to enable IT operations. -
12
OctaneRender
otoy
OctaneRender® is the world’s first and fastest unbiased, spectrally correct GPU render engine, delivering quality and speed unrivaled by any production renderer on the market. OTOY® is proud to advance state of the art graphics technologies with groundbreaking machine learning optimizations, out-of-core geometry support, massive 10-100x speed gains in the scene graph, and RTX raytracing GPU hardware acceleration. Octane RTX hardware acceleration brings 2-5x render speed increases to NVIDIA raytracing GPUs with multi-GPU support. RTX acceleration speed gains increase in more complex scenes and can be benchmarked using RTX OctaneBench®. The new layered material system allows you to construct a complex material that consists of a base layer, with a maximum of 8 layers which can be inserted on top of the base layer. New nodes include: layered material, diffuse layer, specular layer, sheen layer, metallic layer, and layer group nodes.Starting Price: €699 per month -
13
QCT QuantaPlex
QCT
The QCT QuantaPlex series is a sophisticated line of multi-node servers that deliver exceptionally high density and computing performance, making them ideal for data-intensive applications. Designed with a shared infrastructure approach, the QuantaPlex series offers the flexibility to accommodate various workloads, including large-scale data computing, data storage, and business-critical applications. By maximizing space utilization and optimizing cooling and energy efficiency, the QuantaPlex series effectively reduces total cost of ownership (TCO) while providing organizations with a powerful and versatile solution for meeting their data center and computing needs. -
14
NVIDIA NGC
NVIDIA
NVIDIA GPU Cloud (NGC) is a GPU-accelerated cloud platform optimized for deep learning and scientific computing. NGC manages a catalog of fully integrated and optimized deep learning framework containers that take full advantage of NVIDIA GPUs in both single GPU and multi-GPU configurations. NVIDIA train, adapt, and optimize (TAO) is an AI-model-adaptation platform that simplifies and accelerates the creation of enterprise AI applications and services. By fine-tuning pre-trained models with custom data through a UI-based, guided workflow, enterprises can produce highly accurate models in hours rather than months, eliminating the need for large training runs and deep AI expertise. Looking to get started with containers and models on NGC? This is the place to start. Private Registries from NGC allow you to secure, manage, and deploy your own assets to accelerate your journey to AI. -
15
NVIDIA DIGITS
NVIDIA DIGITS
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting the best performing model from the results browser for deployment. DIGITS is completely interactive so that data scientists can focus on designing and training networks rather than programming and debugging. Interactively train models using TensorFlow and visualize model architecture using TensorBoard. Integrate custom plug-ins for importing special data formats such as DICOM used in medical imaging. -
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Red 6
Red 6
ATARS is a multi-node, all-domain, augmented reality (AR) system that enables a complete LVC ecosystem for multiple users, from beyond visual range (BVR) to within visual range (WVR) in dynamic environments. Utilizing an extremely low-latency protocol that is waveform and network agnostic, ATARS delivers the high-speed data passage necessary to create a seamless, multi-player, augmented reality experience viewed through a full-color, wide field of view, and high-resolution display. Our EVE headset (Enhanced Visual Environment) is a transformational leap in wearable augmented reality technology. Previously there has been no means by which virtual assets could be visually represented in the real world, outdoors, and at high speeds. Red 6’s EVE hardware is the brightest headset available, allowing for outdoor use in full daylight and, critically, in high-speed environments. -
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Nebius
Nebius
Training-ready platform with NVIDIA® H100 Tensor Core GPUs. Competitive pricing. Dedicated support. Built for large-scale ML workloads: Get the most out of multihost training on thousands of H100 GPUs of full mesh connection with latest InfiniBand network up to 3.2Tb/s per host. Best value for money: Save at least 50% on your GPU compute compared to major public cloud providers*. Save even more with reserves and volumes of GPUs. Onboarding assistance: We guarantee a dedicated engineer support to ensure seamless platform adoption. Get your infrastructure optimized and k8s deployed. Fully managed Kubernetes: Simplify the deployment, scaling and management of ML frameworks on Kubernetes and use Managed Kubernetes for multi-node GPU training. Marketplace with ML frameworks: Explore our Marketplace with its ML-focused libraries, applications, frameworks and tools to streamline your model training. Easy to use. We provide all our new users with a 1-month trial period.Starting Price: $2.66/hour -
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Softeon DOMS
Softeon
Distributed Order Management (DOM) systems have become critical to supply chain execution, notably in omnichannel fulfillment but in many additional applications and industry sectors as well. DOMS can be used to automate, optimize and orchestrate order fulfillment processes, based on granular visibility to orders, inventory, service requirements, costs and constraints. DOM can be defined as a software system that provides integrated fulfillment planning and execution across multi-echelon, multi-node, multi-partner, and multi-channel supply chain networks. Traditional Order Management Systems (OMS) are order processing-centric. DOM systems, by contrast, are order fulfillment-centric. Distributed Order Management determines how to source an order in a way that meets customer service commitments at the lowest total cost or in a way that meets some other objectives of the company. -
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NVIDIA Air
NVIDIA
Data center infrastructure is growing in complexity and requires efficient solutions that simplify network operations. NVIDIA Air enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments. NVIDIA Air allows users to model data center deployments with full software functionality, creating a digital twin. Transform and streamline network operations by simulating, validating, and automating changes and updates. Create 1-for-1 virtual data center replicas with hundreds of switches and servers. Deploy with confidence through the automation of patches and security updates. Share simulations with colleagues and enhance your training and skill transfer. Get access to key NVIDIA networking software through Air without paying a dime. NVIDIA Air runs in the cloud and supports the simulation of the Cumulus Linux and SONiC network operating systems, as well as the NetQ network operations toolset. -
20
Thinkmate HDX High-Density Servers
Thinkmate
Thinkmate’s high-density, multi-node HDX servers are the ultimate solution for your enterprise data center. In today's fast-paced and data-driven world, having a reliable and efficient server infrastructure is crucial for success. Whether you're dealing with complex cloud computing, virtualization, or big data analytics, our servers provide the performance and scalability you need to keep pace with your growing business needs. With a focus on high-density design, these servers are equipped with multiple nodes in a single chassis, maximizing your data center space while still delivering top-notch performance. We use the latest technologies, including Intel Xeon Scalable and AMD EPYC processors to ensure that your server can handle even the most demanding applications. In addition to raw performance, we understand the importance of reliability and availability, which is why our servers are equipped with redundant power and network connections. -
21
Unsloth
Unsloth
Unsloth is an open source platform designed to accelerate and optimize the fine-tuning and training of Large Language Models (LLMs). It enables users to train custom models, such as ChatGPT, in just 24 hours instead of the typical 30 days, achieving speeds up to 30 times faster than Flash Attention 2 (FA2) while using 90% less memory. Unsloth supports both LoRA and QLoRA fine-tuning techniques, allowing for efficient customization of models like Mistral, Gemma, and Llama versions 1, 2, and 3. Unsloth's efficiency stems from manually deriving computationally intensive mathematical steps and handwriting GPU kernels, resulting in significant performance gains without requiring hardware modifications. Unsloth delivers a 10x speed increase on a single GPU and up to 32x on multi-GPU systems compared to FA2, with compatibility across NVIDIA GPUs from Tesla T4 to H100, and portability to AMD and Intel GPUs.Starting Price: Free -
22
NVIDIA Omniverse Machinima
NVIDIA
Omniverse™ Machinima beta is a reference application that enables users to collaborate in real-time to animate and manipulate characters along with their environments inside virtual worlds. For technical artists, content creators, and industry professionals who want to utilize high-fidelity renders from inside of these virtual worlds, Omniverse Machinima gives you the tools to easily make game cinematics. Experience stunning realism at your fingertips, faster than ever. With the NVIDIA MDL material library, every surface, material, and texture is as real as it gets, and the multi-GPU enabled Omniverse RTX Renderer allows you to easily toggle between real-time ray-traced and referenced path-traced mode for scenes that are true-to-reality. Go from audio to animation in no time at all. Simply record your manifesto or sample your favorite movie lines and watch your character’s face and body come alive with Audio2Face and Audio2Gesture technology. -
23
Bright Cluster Manager
NVIDIA
NVIDIA Bright Cluster Manager offers fast deployment and end-to-end management for heterogeneous high-performance computing (HPC) and AI server clusters at the edge, in the data center, and in multi/hybrid-cloud environments. It automates provisioning and administration for clusters ranging in size from a couple of nodes to hundreds of thousands, supports CPU-based and NVIDIA GPU-accelerated systems, and enables orchestration with Kubernetes. Heterogeneous high-performance Linux clusters can be quickly built and managed with NVIDIA Bright Cluster Manager, supporting HPC, machine learning, and analytics applications that span from core to edge to cloud. NVIDIA Bright Cluster Manager is ideal for heterogeneous environments, supporting Arm® and x86-based CPU nodes, and is fully optimized for accelerated computing with NVIDIA GPUs and NVIDIA DGX™ systems. -
24
NVIDIA AI Data Platform
NVIDIA
NVIDIA's AI Data Platform is a comprehensive solution designed to accelerate enterprise storage and optimize AI workloads, facilitating the development of agentic AI applications. It integrates NVIDIA Blackwell GPUs, BlueField-3 DPUs, Spectrum-X networking, and NVIDIA AI Enterprise software to enhance performance and accuracy in AI workflows. NVIDIA AI Data Platform optimizes workload distribution across GPUs and nodes, leveraging intelligent routing, load balancing, and advanced caching to enable scalable, complex AI processes. This infrastructure supports the deployment and scaling of AI agents across hybrid data centers, transforming raw data into actionable insights in real-time. With the platform, enterprises can process and extract insights from structured or unstructured data, unlocking valuable insights from all available data sources, text, PDF, images, and video. -
25
NVIDIA Onyx
NVIDIA
NVIDIA® Onyx® delivers a new level of flexibility and scalability to next-generation data centers. Onyx has tight turnkey integrations with popular hyperconverged and software-defined storage solutions. With its robust layer-3 protocol stack, built-in monitoring and visibility tools, and high-availability mechanisms, Onyx is an ideal network operating system for enterprise and cloud data centers. Run your custom containerized applications side by side with NVIDIA Onyx. Eliminate the need for one-off servers and seamlessly shrinkwrap solutions into the networking infrastructure. Strong integration with popular hyper-converged infrastructure and software-defined storage solutions. Classic network operating system with a traditional command-line interface (CLI) Single-line command to configure, monitor, and troubleshoot remote direct-memory access over converged Ethernet (RoCE) Support for containerized applications with complete access to the software development kit (SDK). -
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SolarWinds Storage Resource Monitor
SolarWinds
Storage Resource Monitor, formerly Storage Resource Manager, is a fully comprehensive, multi-vendor capacity monitoring and storage performance software solution. Scalable and powerful, Storage Resource Monitor provides intuitive dashboards and charts to facilitate faster issue diagnosis and troubleshooting. The solution also enables users to map the physical SAN environment (LUNs) to the virtual machines in their VMware infrastructure, helping them pinpoint resource bottlenecks and contention issues across virtual and storage environments. Core features include multi-vendor storage monitoring, automated storage capacity planning, storage performance monitoring, storage I/O hotspot detection, storage environment reporting, and prebuilt alerts and automatic baselines. -
27
NVIDIA TensorRT
NVIDIA
NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.Starting Price: Free -
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Fujitsu PRIMERGY Server
Fujitsu
In today's rapidly evolving business landscape, IT plays an increasingly important role in enabling organizations to stay competitive and meet their customers' demands. To keep up with the latest IT trends, companies need to have the right infrastructure in place, including servers that can handle a wide range of workloads and business demands. Fujitsu PRIMERGY Server systems are an ideal solution for this purpose, delivering workload-optimized x86 industry-standard servers that can meet the needs of any business. Recognizing that there is no one-size-fits-all solution, Fujitsu offers a comprehensive server portfolio that includes expandable tower servers, versatile rack-mount servers, density-optimized multi-node servers, and GPU servers purpose-built for AI and VDI. All of these systems are designed to handle multiple and computing-intensive workloads, but each server is optimized for specific use cases. -
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Intelligent Management Center
Hewlett Packard Enterprise
Aruba AirWave is the only multi-vendor wired and wireless network management solution designed with mobile devices, users and apps in mind. By proactively monitoring the health and performance of all things connected, AirWave gives IT the insights needed to support today’s digital workplace. As network management becomes more complex, the risks associated with compromised data flow have also increased. HPE Intelligent Management Center (IMC) delivers comprehensive management across campus core and data center networks. IMC converts meaningless network data to actionable information to keep your network, and your business, moving. HPE network and service management solutions support telco networks from the core to the edge allowing operators to seize the profits of 5G. Simplify the management of data center and the Fibre Channel (FC) storage area network (SAN) fabrics. HPE IMC Branch Intelligent Management System. Enable remote network management of Customer Premises Equipment (CPE).Starting Price: $2000.00/one-time -
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MQTTHQ
MQTTHQ
A reliable MQTT broker is an essential part of every IoT project but setting one up, debugging, monitoring and maintaining it is complex and time-consuming. MQTTHQ is a load-balanced, multi-node MQTT broker cluster, which is designed to provide a stable and highly-reliable broker for developing IoT products and applications. MQTTHQ supports both TCP and WebSocket connections. Important: MQTTHQ is a public broker, which means that any information you send via this broker is visible to other users; please do not send private or personal information via this public broker! As part of our commitment to maintaining the MQTTHQ public broker as a free resource for IoT developers, we occasionally need to make improvements, add new features, etc.Starting Price: Free -
31
MegaETH
MegaETH
MegaETH is a next-generation blockchain execution platform built to deliver extreme performance and efficiency for decentralized applications and high-throughput workloads. To achieve this, MegaETH introduces a new state trie design that scales smoothly to terabytes of state data with minimal I/O cost. It implements a write-optimized storage backend to replace traditional high-amplification databases, ensuring fast, predictable read and write latencies. It uses just-in-time bytecode compilation to eliminate interpretation overhead and bring near native code speed to compute-intensive smart contracts. MegaETH also supports a two-pronged parallel execution model; block producers use a flexible concurrency protocol, while full nodes employ stateless validation to maximize parallel speedups. For network synchronization, MegaETH features a custom peer-to-peer protocol with compression techniques that allow even nodes with limited bandwidth to stay in sync at high throughput.Starting Price: Free -
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NVIDIA Base Command Manager
NVIDIA
NVIDIA Base Command Manager offers fast deployment and end-to-end management for heterogeneous AI and high-performance computing clusters at the edge, in the data center, and in multi- and hybrid-cloud environments. It automates the provisioning and administration of clusters ranging in size from a couple of nodes to hundreds of thousands, supports NVIDIA GPU-accelerated and other systems, and enables orchestration with Kubernetes. The platform integrates with Kubernetes for workload orchestration and offers tools for infrastructure monitoring, workload management, and resource allocation. Base Command Manager is optimized for accelerated computing environments, making it suitable for diverse HPC and AI workloads. It is available with NVIDIA DGX systems and as part of the NVIDIA AI Enterprise software suite. High-performance Linux clusters can be quickly built and managed with NVIDIA Base Command Manager, supporting HPC, machine learning, and analytics applications. -
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CUDA
NVIDIA
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.Starting Price: Free -
34
Deeplearning4j
Deeplearning4j
DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python API. Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs. There are a lot of parameters to adjust when you're training a deep-learning network. We've done our best to explain them, so that Deeplearning4j can serve as a DIY tool for Java, Scala, Clojure, and Kotlin programmers. -
35
NVIDIA NetQ
NVIDIA Networking
NVIDIA NetQ™ is a highly scalable, modern network operations toolset that provides visibility, troubleshooting, and validation of your Cumulus and SONiC fabrics in real time. NetQ utilizes telemetry and delivers actionable insights about the health of your data center network, integrating the fabric into your DevOps ecosystem. NetQ natively supports NVIDIA® What Just Happened® (WJH) through the Spectrum® ASIC for hardware-accelerated detection and reporting of data plane anomalies and intermittent network issues. NetQ is also available as a secure cloud service, making it even easier to install, deploy, and scale your network. Leveraging a cloud-based deployment of NetQ offers instant upgrades, zero maintenance, and minimal appliance management efforts. Correlate configuration and operational status, and instantly identify and track state changes for your entire data center. -
36
MicroStack
Canonical
Install and run OpenStack on Linux in minutes. Made for developers and great for edge, IoT, and appliances. A full OpenStack in a single snap package. MicroStack is an upstream multi-node OpenStack deployment which can run directly on your workstation. Although made for developers, it is also suitable for edge, IoT and appliances. Grab MicroStack from the Snap Store and get your OpenStack running right away. Get a full OpenStack system running in minutes. Runs safely on your laptop with state of the art isolation. Pure upstream OpenStack delivered to your laptop. Includes all key OpenStack components: Keystone, Nova, Neutron, Glance, and Cinder. All the cool things you probably want to try on a small, standard OpenStack are all built-in. Use MicroStack in your CI/CD pipelines and get on with your day without headaches. MicroStack requires at least 8 GB RAM and a multi-core processor. -
37
Command A Reasoning
Cohere AI
Command A Reasoning is Cohere’s most advanced enterprise-ready language model, engineered for high-stakes reasoning tasks and seamless integration into AI agent workflows. The model delivers exceptional reasoning performance, efficiency, and controllability, scaling across multi-GPU setups with support for up to 256,000-token context windows, ideal for handling long documents and multi-step agentic tasks. Organizations can fine-tune output precision and latency through a token budget, allowing a single model to flexibly serve both high-accuracy and high-throughput use cases. It powers Cohere’s North platform with leading benchmark performance and excels in multilingual contexts across 23 languages. Designed with enterprise safety in mind, it balances helpfulness with robust safeguards against harmful outputs. A lightweight deployment option allows running the model securely on a single H100 or A100 GPU, simplifying private, scalable use. -
38
NVIDIA DRIVE
NVIDIA
Software is what turns a vehicle into an intelligent machine. The NVIDIA DRIVE™ Software stack is open, empowering developers to efficiently build and deploy a variety of state-of-the-art AV applications, including perception, localization and mapping, planning and control, driver monitoring, and natural language processing. The foundation of the DRIVE Software stack, DRIVE OS is the first safe operating system for accelerated computing. It includes NvMedia for sensor input processing, NVIDIA CUDA® libraries for efficient parallel computing implementations, NVIDIA TensorRT™ for real-time AI inference, and other developer tools and modules to access hardware engines. The NVIDIA DriveWorks® SDK provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plugins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework. -
39
Azure FXT Edge Filer
Microsoft
Create cloud-integrated hybrid storage that works with your existing network-attached storage (NAS) and Azure Blob Storage. This on-premises caching appliance optimizes access to data in your datacenter, in Azure, or across a wide-area network (WAN). A combination of software and hardware, Microsoft Azure FXT Edge Filer delivers high throughput and low latency for hybrid storage infrastructure supporting high-performance computing (HPC) workloads.Scale-out clustering provides non-disruptive NAS performance scaling. Join up to 24 FXT nodes per cluster to scale to millions of IOPS and hundreds of GB/s. When you need performance and scale in file-based workloads, Azure FXT Edge Filer keeps your data on the fastest path to processing resources. Managing data storage is easy with Azure FXT Edge Filer. Shift aging data to Azure Blob Storage to keep it easily accessible with minimal latency. Balance on-premises and cloud storage. -
40
E2E Cloud
E2E Networks
E2E Cloud provides advanced cloud solutions tailored for AI and machine learning workloads. We offer access to cutting-edge NVIDIA GPUs, including H200, H100, A100, L40S, and L4, enabling businesses to efficiently run AI/ML applications. Our services encompass GPU-intensive cloud computing, AI/ML platforms like TIR built on Jupyter Notebook, Linux and Windows cloud solutions, storage cloud with automated backups, and cloud solutions with pre-installed frameworks. E2E Networks emphasizes a high-value, top-performance infrastructure, boasting a 90% cost reduction in monthly cloud bills for clients. Our multi-region cloud is designed for performance, reliability, resilience, and security, serving over 15,000 clients. Additional features include block storage, load balancers, object storage, one-click deployment, database-as-a-service, API & CLI access, and a content delivery network.Starting Price: $0.012 per hour -
41
Vcinity Radical X
Vcinity
Enabling local-like network access to eliminate the effects of latency. Purpose-built for hybrid and multi-cloud high-performance computing organizations that have a parallel file system in place, the Radical X™ (RAD X™) product family extends Remote Direct Memory Access (RDMA) over WAN and removes the distance barrier from data access and movement. RAD X extends your local services, applications, and infrastructure across virtually any WAN—creating an infrastructure that’s truly location independent. It provides low-latency, high-performance connectivity — allowing businesses to take command of geographically dispersed compute and storage resources, in real-time, to accelerate time to insights and action. RAD X provides robust security for your data, including single or dual-line-rate WAN encryption, without increasing latency or reducing data throughput. Its DataPrizmTM feature provides another layer of protection by distributing data over encrypted network paths. -
42
Tencent Cloud Elastic MapReduce
Tencent
EMR enables you to scale the managed Hadoop clusters manually or automatically according to your business curves or monitoring metrics. EMR's storage-computation separation even allows you to terminate a cluster to maximize resource efficiency. EMR supports hot failover for CBS-based nodes. It features a primary/secondary disaster recovery mechanism where the secondary node starts within seconds when the primary node fails, ensuring the high availability of big data services. The metadata of its components such as Hive supports remote disaster recovery. Computation-storage separation ensures high data persistence for COS data storage. EMR is equipped with a comprehensive monitoring system that helps you quickly identify and locate cluster exceptions to ensure stable cluster operations. VPCs provide a convenient network isolation method that facilitates your network policy planning for managed Hadoop clusters. -
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iRender
iRender
iRender Render Farm is a Powerful GPU-Acceleration Cloud Rendering for (Redshift, Octane, Blender, V-Ray (RT), Arnold GPU, UE5, Iray, Omniverse etc.) Multi-GPU Rendering tasks. Rent servers in the IaaS Render Farm model (Infrastructure as a Service) at your disposition and enjoy working with a scalable infrastructure. iRender provides High-performance machines for GPU-based & CPU-based rendering on the cloud. Designers, artists, or architects like you can leverage the power of single GPU, multi GPUs or CPU machines to speed up your render time. You get access to the remote server easily via an RDP file; take full control of it and install any 3D design software, render engines & 3D plugins you want on it. In addition, iRender also supports the majority of the well-known AI IDEs and AI frameworks to help you optimize your AI workflow.Starting Price: $575 one-time payment -
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Get complete automation, extensive visibility, and consistent operations for your hybrid cloud environment. Cisco Nexus Dashboard Fabric Controller (NDFC) is the network management platform for all NX-OS-enabled deployments. It spans new fabric architectures, storage network deployments, and IP Fabric for Media. Accelerate provisioning from days to minutes and simplify deployments. Reduce troubleshooting cycles with graphical operational visibility for topology, network fabric, and infrastructure. Eliminate configuration errors with templated deployment models and automatic compliance remediation. Benefit from automated network connectivity, consistent network management, and simplified operations for hybrid cloud environments. Gain comprehensive management, control, monitoring, troubleshooting, and maintenance for LAN with automated multicloud connectivity and IP Fabric for Media (IPFM).
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Yugabyte
Yugabyte
The Leading High-Performance Distributed SQL Database. Open source, cloud native relational DB for powering global, internet-scale apps. Single-Digit Millisecond Latency Build blazing fast cloud applications by serving queries directly from the DB. Massive Scale. Achieve millions of transactions per second and store multiple TB’s of data per node. Geo-Distribution. Deploy across regions and clouds with synchronous or multi-master replication. Built for Cloud Native Architectures. Develop, deploy and operationalize modern applications faster than ever before with YugabyteDB. Gain Developer Agility. Leverage full power of PostgreSQL-compatible SQL and distributed ACID transactions. Operate Resilient Services. Ensure continuous availability even when underlying compute, storage or network fails. Scale On-Demand. Add and remove nodes at will. Say no to over-provisioned clusters forever. Lower User Latency. -
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Amazon EC2 P4 Instances
Amazon
Amazon EC2 P4d instances deliver high performance for machine learning training and high-performance computing applications in the cloud. Powered by NVIDIA A100 Tensor Core GPUs, they offer industry-leading throughput and low-latency networking, supporting 400 Gbps instance networking. P4d instances provide up to 60% lower cost to train ML models, with an average of 2.5x better performance for deep learning models compared to previous-generation P3 and P3dn instances. Deployed in hyperscale clusters called Amazon EC2 UltraClusters, P4d instances combine high-performance computing, networking, and storage, enabling users to scale from a few to thousands of NVIDIA A100 GPUs based on project needs. Researchers, data scientists, and developers can utilize P4d instances to train ML models for use cases such as natural language processing, object detection and classification, and recommendation engines, as well as to run HPC applications like pharmaceutical discovery and more.Starting Price: $11.57 per hour -
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Nutanix AOS Storage
Nutanix
Nutanix AOS Storage is a modern, software-defined storage solution that replaces traditional SAN and NAS systems with a highly automated, high-performance, and scalable infrastructure. It delivers enterprise-grade capabilities through a distributed architecture, ensuring high availability and resilience. Key features include data locality, which stores data close to the application for low latency; intelligent tiering, automatically optimizing data placement between SSD and HDD tiers; and advanced data protection mechanisms like granular snapshots and self-healing capabilities. AOS Storage allows for linear scaling of performance and capacity, enabling organizations to start small and expand seamlessly as their needs evolve. Additionally, it offers flexibility in hypervisor choice and supports various data services, making it suitable for a wide range of applications and workloads. -
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FPT Cloud
FPT Cloud
FPT Cloud is a next‑generation cloud computing and AI platform that streamlines innovation by offering a robust, modular ecosystem of over 80 services, from compute, storage, database, networking, and security to AI development, backup, disaster recovery, and data analytics, built to international standards. Its offerings include scalable virtual servers with auto‑scaling and 99.99% uptime; GPU‑accelerated infrastructure tailored for AI/ML workloads; FPT AI Factory, a comprehensive AI lifecycle suite powered by NVIDIA supercomputing (including infrastructure, model pre‑training, fine‑tuning, model serving, AI notebooks, and data hubs); high‑performance object and block storage with S3 compatibility and encryption; Kubernetes Engine for managed container orchestration with cross‑cloud portability; managed database services across SQL and NoSQL engines; multi‑layered security with next‑gen firewalls and WAFs; centralized monitoring and activity logging. -
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FlashGrid
FlashGrid
FlashGrid's software solutions are designed to enhance the reliability and performance of mission-critical Oracle databases across various cloud platforms, including AWS, Azure, and Google Cloud. By enabling active-active clustering with Oracle Real Application Clusters (RAC), FlashGrid ensures a 99.999% uptime Service Level Agreement (SLA), effectively minimizing business disruptions caused by database outages. Their architecture supports multi-availability zone deployments, safeguarding against data center failures and local disasters. FlashGrid's Cloud Area Network software facilitates high-speed overlay networks with advanced high availability and performance management capabilities, while their Storage Fabric software transforms cloud storage into shared disks accessible by all nodes in a cluster. The FlashGrid Read-Local technology reduces storage network overhead by serving read operations from locally attached disks, thereby enhancing performance. -
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Cruz RMM
Dorado Software
Single Pane-of-glass to automate your customers' IT operations. Cruz Remote Monitoring and Management (RMM) is designed for Managed IT Service Providers (MSPs) to proactively and remotely monitor and manage the IT infrastructure, networks, client endpoints, and computers, from anywhere! Whether you are an MSP looking for ways to enhance your business, or a reseller/VAR breaking into the MSP business, Dorado can help you monitor and manage your environment securely and remotely from a single console. All of this is included in an affordable, easy-to-use, and scalable solution. Dorado Software is a leading provider of resource management, performance monitoring, and service orchestration software to automate cloud operations across converged infrastructure fabrics. Dorado helps operators and IT professionals monitor, configure, and manage converged infrastructures (physical and virtual storage, servers, networking devices), virtualized network functions, and cloud services.Starting Price: $1350
