Alternatives to TrinityX
Compare TrinityX alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to TrinityX in 2025. Compare features, ratings, user reviews, pricing, and more from TrinityX competitors and alternatives in order to make an informed decision for your business.
-
1
Rocky Linux
Ctrl IQ, Inc.
CIQ empowers people to do amazing things by providing innovative and stable software infrastructure solutions for all computing needs. From the base operating system, through containers, orchestration, provisioning, computing, and cloud applications, CIQ works with every part of the technology stack to drive solutions for customers and communities with stable, scalable, secure production environments. CIQ is the founding support and services partner of Rocky Linux, and the creator of the next generation federated computing stack. - Rocky Linux, open, Secure Enterprise Linux - Apptainer, application Containers for High Performance Computing - Warewulf, cluster Management and Operating System Provisioning - HPC2.0, the Next Generation of High Performance Computing, a Cloud Native Federated Computing Platform - Traditional HPC, turnkey computing stack for traditional HPC -
2
Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.
-
3
Red Hat OpenShift
Red Hat
The Kubernetes platform for big ideas. Empower developers to innovate and ship faster with the leading hybrid cloud, enterprise container platform. Red Hat OpenShift offers automated installation, upgrades, and lifecycle management throughout the container stack—the operating system, Kubernetes and cluster services, and applications—on any cloud. Red Hat OpenShift helps teams build with speed, agility, confidence, and choice. Code in production mode anywhere you choose to build. Get back to doing work that matters. Red Hat OpenShift is focused on security at every level of the container stack and throughout the application lifecycle. It includes long-term, enterprise support from one of the leading Kubernetes contributors and open source software companies. Support the most demanding workloads including AI/ML, Java, data analytics, databases, and more. Automate deployment and life-cycle management with our vast ecosystem of technology partners.Starting Price: $50.00/month -
4
AWS ParallelCluster
Amazon
AWS ParallelCluster is an open-source cluster management tool that simplifies the deployment and management of High-Performance Computing (HPC) clusters on AWS. It automates the setup of required resources, including compute nodes, a shared filesystem, and a job scheduler, supporting multiple instance types and job submission queues. Users can interact with ParallelCluster through a graphical user interface, command-line interface, or API, enabling flexible cluster configuration and management. The tool integrates with job schedulers like AWS Batch and Slurm, facilitating seamless migration of existing HPC workloads to the cloud with minimal modifications. AWS ParallelCluster is available at no additional charge; users only pay for the AWS resources consumed by their applications. With AWS ParallelCluster, you can use a simple text file to model, provision, and dynamically scale the resources needed for your applications in an automated and secure manner. -
5
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. -
6
Warewulf
Warewulf
Warewulf is a cluster management and provisioning system that has pioneered stateless node management for over two decades. It enables the provisioning of containers directly onto bare metal hardware at massive scales, ranging from tens to tens of thousands of compute systems while maintaining simplicity and flexibility. The platform is extensible, allowing users to modify default functionalities and node images to suit various clustering use cases. Warewulf supports stateless provisioning with SELinux, per-node asset key-based provisioning, and access controls, ensuring secure deployments. Its minimal system requirements and ease of optimization, customization, and integration make it accessible to diverse industries. Supported by OpenHPC and contributors worldwide, Warewulf stands as a successful HPC cluster platform utilized across various sectors. Minimal system requirements, easy to get started, and simple to optimize, customize, and integrate.Starting Price: Free -
7
HPE Performance Cluster Manager
Hewlett Packard Enterprise
HPE Performance Cluster Manager (HPCM) delivers an integrated system management solution for Linux®-based high performance computing (HPC) clusters. HPE Performance Cluster Manager provides complete provisioning, management, and monitoring for clusters scaling up to Exascale sized supercomputers. The software enables fast system setup from bare-metal, comprehensive hardware monitoring and management, image management, software updates, power management, and cluster health management. Additionally, it makes scaling HPC clusters easier and efficient while providing integration with a plethora of 3rd party tools for running and managing workloads. HPE Performance Cluster Manager reduces the time and resources spent administering HPC systems - lowering total cost of ownership, increasing productivity and providing a better return on hardware investments. -
8
Azure CycleCloud
Microsoft
Create, manage, operate, and optimize HPC and big compute clusters of any scale. Deploy full clusters and other resources, including scheduler, compute VMs, storage, networking, and cache. Customize and optimize clusters through advanced policy and governance features, including cost controls, Active Directory integration, monitoring, and reporting. Use your current job scheduler and applications without modification. Give admins full control over which users can run jobs, as well as where and at what cost. Take advantage of built-in autoscaling and battle-tested reference architectures for a wide range of HPC workloads and industries. CycleCloud supports any job scheduler or software stack—from proprietary in-house to open-source, third-party, and commercial applications. Your resource demands evolve over time, and your cluster should, too. With scheduler-aware autoscaling, you can fit your resources to your workload.Starting Price: $0.01 per hour -
9
Qlustar
Qlustar
The ultimate full-stack solution for setting up, managing, and scaling clusters with ease, control, and performance. Qlustar empowers your HPC, AI, and storage environments with unmatched simplicity and robust capabilities. From bare-metal installation with the Qlustar installer to seamless cluster operations, Qlustar covers it all. Set up and manage your clusters with unmatched simplicity and efficiency. Designed to grow with your needs, handling even the most complex workloads effortlessly. Optimized for speed, reliability, and resource efficiency in demanding environments. Upgrade your OS or manage security patches without the need for reinstallations. Regular and reliable updates keep your clusters safe from vulnerabilities. Qlustar optimizes your computing power, delivering peak efficiency for high-performance computing environments. Our solution offers robust workload management, built-in high availability, and an intuitive interface for streamlined operations.Starting Price: Free -
10
Slurm
IBM
Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), is a free, open-source job scheduler and cluster management system for Linux and Unix-like kernels. It's designed to manage compute jobs on high performance computing (HPC) clusters and high throughput computing (HTC) environments, and is used by many of the world's supercomputers and computer clusters.Starting Price: Free -
11
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. -
12
OpenSVC
OpenSVC
OpenSVC is an open source software solution designed to enhance IT productivity by providing tools for service mobility, clustering, container orchestration, configuration management, and comprehensive infrastructure auditing. The platform comprises two main components. The agent functions as a supervisor, clusterware, container orchestrator, and configuration manager, facilitating the deployment, management, and scaling of services across diverse environments, including on-premises, virtual machines, and cloud instances. It supports various operating systems such as Unix, Linux, BSD, macOS, and Windows, and offers features like cluster DNS, backend networks, ingress gateways, and scalers. The collector aggregates data reported by agents and fetches information from the site's infrastructure, including networks, SANs, storage arrays, backup servers, and asset managers. It serves as a reliable, flexible, and secure data store.Starting Price: Free -
13
Google Cloud Dataproc
Google
Dataproc makes open source data and analytics processing fast, easy, and more secure in the cloud. Build custom OSS clusters on custom machines faster. Whether you need extra memory for Presto or GPUs for Apache Spark machine learning, Dataproc can help accelerate your data and analytics processing by spinning up a purpose-built cluster in 90 seconds. Easy and affordable cluster management. With autoscaling, idle cluster deletion, per-second pricing, and more, Dataproc can help reduce the total cost of ownership of OSS so you can focus your time and resources elsewhere. Security built in by default. Encryption by default helps ensure no piece of data is unprotected. With JobsAPI and Component Gateway, you can define permissions for Cloud IAM clusters, without having to set up networking or gateway nodes. -
14
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. -
15
Spectro Cloud Palette
Spectro Cloud
Spectro Cloud’s Palette is a comprehensive Kubernetes management platform designed to simplify and unify the deployment, operation, and scaling of Kubernetes clusters across diverse environments—from edge to cloud to data center. It provides full-stack, declarative orchestration, enabling users to blueprint cluster configurations with consistency and flexibility. The platform supports multi-cluster, multi-distro Kubernetes environments, delivering lifecycle management, granular access controls, cost visibility, and optimization. Palette integrates seamlessly with cloud providers like AWS, Azure, Google Cloud, and popular Kubernetes services such as EKS, OpenShift, and Rancher. With robust security features including FIPS and FedRAMP compliance, Palette addresses needs of government and regulated industries. It offers flexible deployment options—self-hosted, SaaS, or airgapped—ensuring organizations can choose the best fit for their infrastructure and security requirements. -
16
Swarm
Docker
Current versions of Docker include swarm mode for natively managing a cluster of Docker Engines called a swarm. Use the Docker CLI to create a swarm, deploy application services to a swarm, and manage swarm behavior. Cluster management integrated with Docker Engine: Use the Docker Engine CLI to create a swarm of Docker Engines where you can deploy application services. You don’t need additional orchestration software to create or manage a swarm. Decentralized design: Instead of handling differentiation between node roles at deployment time, the Docker Engine handles any specialization at runtime. You can deploy both kinds of nodes, managers and workers, using the Docker Engine. This means you can build an entire swarm from a single disk image. Declarative service model: Docker Engine uses a declarative approach to let you define the desired state of the various services in your application stack. -
17
Pipeshift
Pipeshift
Pipeshift is a modular orchestration platform designed to facilitate the building, deployment, and scaling of open source AI components, including embeddings, vector databases, large language models, vision models, and audio models, across any cloud environment or on-premises infrastructure. The platform offers end-to-end orchestration, ensuring seamless integration and management of AI workloads, and is 100% cloud-agnostic, providing flexibility in deployment. With enterprise-grade security, Pipeshift addresses the needs of DevOps and MLOps teams aiming to establish production pipelines in-house, moving beyond experimental API providers that may lack privacy considerations. Key features include an enterprise MLOps console for managing various AI workloads such as fine-tuning, distillation, and deployment; multi-cloud orchestration with built-in auto-scalers, load balancers, and schedulers for AI models; and Kubernetes cluster management. -
18
OpenHPC
The Linux Foundation
Welcome to the OpenHPC site. OpenHPC is a collaborative, community effort that was initiated from a desire to aggregate a number of common ingredients required to deploy and manage High Performance Computing (HPC) Linux clusters including provisioning tools, resource management, I/O clients, development tools, and a variety of scientific libraries. Packages provided by OpenHPC have been pre-built with HPC integration in mind with a goal to provide reusable building blocks for the HPC community. Over time, the community also plans to identify and develop abstraction interfaces between key components to further enhance modularity and interchangeability. The community includes representation from a variety of sources including software vendors, equipment manufacturers, research institutions, supercomputing sites, and others. This community works to integrate a multitude of components that are commonly used in HPC systems and are freely available for open source distribution.Starting Price: Free -
19
Lustre
OpenSFS and EOFS
The Lustre file system is an open-source, parallel file system that supports many requirements of leadership class HPC simulation environments. Whether you’re a member of our diverse development community or considering the Lustre file system as a parallel file system solution, these pages offer a wealth of resources and support to meet your needs. The Lustre file system provides a POSIX-compliant file system interface, which can scale to thousands of clients, petabytes of storage, and hundreds of gigabytes per second of I/O bandwidth. The key components of the Lustre file system are the Metadata Servers (MDS), the Metadata Targets (MDT), Object Storage Servers (OSS), Object Server Targets (OST), and the Lustre clients. Lustre is purpose-built to provide a coherent, global POSIX-compliant namespace for very large-scale computer infrastructure, including the world's largest supercomputer platforms. It can support hundreds of petabytes of data storage.Starting Price: Free -
20
Red Hat Advanced Cluster Management for Kubernetes controls clusters and applications from a single console, with built-in security policies. Extend the value of Red Hat OpenShift by deploying apps, managing multiple clusters, and enforcing policies across multiple clusters at scale. Red Hat’s solution ensures compliance, monitors usage and maintains consistency. Red Hat Advanced Cluster Management for Kubernetes is included with Red Hat OpenShift Platform Plus, a complete set of powerful, optimized tools to secure, protect, and manage your apps. Run your operations from anywhere that Red Hat OpenShift runs, and manage any Kubernetes cluster in your fleet. Speed up application development pipelines with self-service provisioning. Deploy legacy and cloud-native applications quickly across distributed clusters. Free up IT departments with self-service cluster deployment that automatically delivers applications.
-
21
AWS HPC
Amazon
AWS High Performance Computing (HPC) services empower users to execute large-scale simulations and deep learning workloads in the cloud, providing virtually unlimited compute capacity, high-performance file systems, and high-throughput networking. This suite of services accelerates innovation by offering a broad range of cloud-based tools, including machine learning and analytics, enabling rapid design and testing of new products. Operational efficiency is maximized through on-demand access to compute resources, allowing users to focus on complex problem-solving without the constraints of traditional infrastructure. AWS HPC solutions include Elastic Fabric Adapter (EFA) for low-latency, high-bandwidth networking, AWS Batch for scaling computing jobs, AWS ParallelCluster for simplified cluster deployment, and Amazon FSx for high-performance file systems. These services collectively provide a flexible and scalable environment tailored to diverse HPC workloads. -
22
ClusterVisor
Advanced Clustering
ClusterVisor is an HPC cluster management system that provides comprehensive tools for deploying, provisioning, managing, monitoring, and maintaining high-performance computing clusters throughout their lifecycle. It offers flexible installation options, including deployment via an appliance, which decouples cluster management from the head node, enhancing system resilience. The platform includes LogVisor AI, an integrated log file analysis tool that utilizes AI to classify logs by severity, enabling the creation of actionable alerts. ClusterVisor facilitates node configuration and management with a suite of tools, supports user and group account management, and features customizable dashboards for visualizing cluster-wide information and comparing multiple nodes or devices. It provides disaster recovery capabilities by storing system images for node reinstallation, offers an intuitive web-based rack diagramming tool, and enables comprehensive statistics and monitoring. -
23
SafeKit
Eviden
Evidian SafeKit is a high-availability software solution designed to ensure the redundancy of critical applications on Windows and Linux platforms. It provides an all-in-one approach by integrating load balancing, synchronous real-time file replication, automatic application failover, and automated failback after a server failure, all within a single software product. This eliminates the need for additional hardware components such as network load balancers or shared disks, as well as the necessity for enterprise editions of operating systems and databases. SafeKit's software clustering facilitates the creation of mirror clusters with real-time data replication and failover, farm clusters with load balancing and failover, and advanced architectures like farm+mirror clusters and active-active clusters. Its shared-nothing architecture simplifies deployment, even in remote sites, by avoiding the complexities associated with shared disk clusters. -
24
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. -
25
Apache Helix
Apache Software Foundation
Apache Helix is a generic cluster management framework used for the automatic management of partitioned, replicated and distributed resources hosted on a cluster of nodes. Helix automates reassignment of resources in the face of node failure and recovery, cluster expansion, and reconfiguration. To understand Helix, you first need to understand cluster management. A distributed system typically runs on multiple nodes for the following reasons: scalability, fault tolerance, load balancing. Each node performs one or more of the primary functions of the cluster, such as storing and serving data, producing and consuming data streams, and so on. Once configured for your system, Helix acts as the global brain for the system. It is designed to make decisions that cannot be made in isolation. While it is possible to integrate these functions into the distributed system, it complicates the code. -
26
Tencent Kubernetes Engine
Tencent
TKE is fully compatible with the entire range of Kubernetes capabilities and has been adapted to Tencent Cloud's fundamental IaaS capabilities such as CVM and CBS. In addition, Tencent Cloud’s Kubernetes-based cloud products such as CBS and CLB support one-click deployment to container clusters for a variety of open source applications, greatly improving deployment efficiency. Thanks to TKE, you can simplify the management of large-scale clusters and management and OPS of distributed applications without having to use cluster management software or design fault-tolerant cluster architecture. Simply launch TKE and specify the tasks you want to run, and then TKE will take care of all of the cluster management tasks, allowing you to focus on developing Dockerized applications. -
27
Rocks
Rocks
Rocks is an open source Linux cluster distribution that enables end users to easily build computational clusters, grid endpoints, and visualization tiled-display walls. Since May 2000, the Rocks group has been addressing the difficulties of deploying manageable clusters with the goal of making clusters easy to deploy, manage, upgrade, and scale. The latest update, Rocks 7.0, codenamed Manzanita, is a 64-bit-only release based upon CentOS 7.4, with all updates applied as of December 1, 2017. Rocks include many tools, such as Message Passing Interface (MPI), which are integral components that make a group of computers into a cluster. Installations can be customized with additional software packages at install time by using special user-supplied CDs. The Spectre/Meltdown security vulnerabilities affect (nearly) all hardware and are addressed by OS updates.Starting Price: Free -
28
Azure Red Hat OpenShift
Microsoft
Azure Red Hat OpenShift provides highly available, fully managed OpenShift clusters on demand, monitored and operated jointly by Microsoft and Red Hat. Kubernetes is at the core of Red Hat OpenShift. OpenShift brings added-value features to complement Kubernetes, making it a turnkey container platform as a service (PaaS) with a significantly improved developer and operator experience. Highly available, fully managed public and private clusters, automated operations, and over-the-air platform upgrades. Take advantage of the enhanced user interface for application topology and builds in the web console to build, deploy, configure, and visualize containerized applications and cluster resources more easily.Starting Price: $0.44 per hour -
29
Apache Mesos
Apache Software Foundation
Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes. -
30
Amazon EKS Anywhere
Amazon
Amazon EKS Anywhere is a new deployment option for Amazon EKS that enables you to easily create and operate Kubernetes clusters on-premises, including on your own virtual machines (VMs) and bare metal servers. EKS Anywhere provides an installable software package for creating and operating Kubernetes clusters on-premises and automation tooling for cluster lifecycle support. EKS Anywhere brings a consistent AWS management experience to your data center, building on the strengths of Amazon EKS Distro (the same Kubernetes that powers EKS on AWS.) EKS Anywhere saves you the complexity of buying or building your own management tooling to create EKS Distro clusters, configure the operating environment, update software, and handle backup and recovery. EKS Anywhere enables you to automate cluster management, reduce support costs, and eliminate the redundant effort of using multiple open source or 3rd party tools for operating Kubernetes clusters. EKS Anywhere is fully supported by AWS. -
31
Container Engine for Kubernetes (OKE) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute shapes. DevOps engineers can use unmodified, open source Kubernetes for application workload portability and to simplify operations with automatic updates and patching. Deploy Kubernetes clusters including the underlying virtual cloud networks, internet gateways, and NAT gateways with a single click. Automate Kubernetes operations with web-based REST API and CLI for all actions including Kubernetes cluster creation, scaling, and operations. Oracle Container Engine for Kubernetes does not charge for cluster management. Easily and quickly upgrade container clusters, with zero downtime, to keep them up to date with the latest stable version of Kubernetes.
-
32
Loft
Loft Labs
Most Kubernetes platforms let you spin up and manage Kubernetes clusters. Loft doesn't. Loft is an advanced control plane that runs on top of your existing Kubernetes clusters to add multi-tenancy and self-service capabilities to these clusters to get the full value out of Kubernetes beyond cluster management. Loft provides a powerful UI and CLI but under the hood, it is 100% Kubernetes, so you can control everything via kubectl and the Kubernetes API, which guarantees great integration with existing cloud-native tooling. Building open-source software is part of our DNA. Loft Labs is CNCF and Linux Foundation member. Loft allows companies to empower their employees to spin up low-cost, low-overhead Kubernetes environments for a variety of use cases.Starting Price: $25 per user per month -
33
Deploy and orchestrate applications on a managed Kubernetes platform with centralized, SaaS-based management of distributed applications with a single pane of glass and rich observability. Simplify by managing deployments as one across on-prem, cloud, and edge locations. Achieve effortless management and scaling of applications across multiple k8s clusters (customer sites or F5 Distributed Cloud Regional Edge) with a single Kubernetes compatible API, unlocking the ease of multi-cluster management. Deploy, deliver, and secure applications to all locations as one ”virtual” location. Deploy, secure, and operate distributed applications with uniform production grade Kubernetes no matter the location, from private and public cloud to edge locations. Secure K8s Gateway with zero trust security all the way to the cluster with ingress services with WAAP, service policies management, network, and application firewall.
-
34
OpenWGA
Innovation Gate
Showing just an RTF-Editor in a popup window is not how we understand WYSIWYG. Authors need exact control over paragraph length and line breaks, table widths and image sizes to create great-looking content. Just Tags and server-side Javascript - no java inside any template code. OpenWGA Developer Studio supports the software development process by delivering all necessary tools to create, develop, deploy and share OpenWGA web applications. A set of advanced technologies like its secure cluster architecture, JMX monitoring, SSO via SPNEGO, CMIS and the integrated REST-API makes OpenWGA Java CMS the optimal platform to run business critical enterprise applications. The OpenWGA CMS cluster management framework does not only support secure cluster communication and distributed task execution. It also comes with its own integrated session replication with optimized resource handling. -
35
Edka
Edka
Edka automates the creation of a production‑ready Platform as a Service (PaaS) on top of standard cloud virtual machines and Kubernetes. It reduces the manual effort required to run applications on Kubernetes by providing preconfigured open source add-ons that turn a Kubernetes cluster into a full-fledged PaaS. Edka simplifies Kubernetes operations by organizing them into layers: Layer 1: Cluster provisioning – A simple UI to provision a k3s-based cluster. You can create a cluster in one click using the default values. Layer 2: Add-ons - One-click deploy for metrics-server, cert-manager, and various operators; preconfigured for Hetzner, no extra setup required. Layer 3: Applications - Minimal config UIs for apps built on top of add-ons. Layer 4: Deployments - Edka updates deployments automatically (with semantic versioning rules), supports instant rollbacks, autoscaling, persistent volumes, secrets/env imports, and quick public exposure.Starting Price: €0 -
36
DxEnterprise
DH2i
DxEnterprise is multi-platform Smart Availability software built on patented technology for Windows Server, Linux and Docker. It can be used to manage a variety of workloads at the instance level—as well as Docker containers. DxEnterprise (DxE) is particularly optimized for native or containerized Microsoft SQL Server deployments on any platform. It is also adept at management of Oracle on Windows. In addition to Windows file shares and services, DxE supports any Docker container on Windows or Linux, including Oracle, MySQL, PostgreSQL, MariaDB, MongoDB, and other relational database management systems. It also supports cloud-native SQL Server availability groups (AGs) in containers, including support for Kubernetes clusters, across mixed environments and any type of infrastructure. DxE integrates seamlessly with Azure shared disks, enabling optimal high availability for clustered SQL Server instances in the cloud. -
37
QumulusAI
QumulusAI
QumulusAI delivers supercomputing without constraint, combining scalable HPC with grid-independent data centers to break bottlenecks and power the future of AI. QumulusAI is universalizing access to AI supercomputing, removing the constraints of legacy HPC and delivering the scalable, high-performance computing AI demands today. And tomorrow too. No virtualization overhead, no noisy neighbors, just dedicated, direct access to AI servers optimized with NVIDIA’s latest GPUs (H200) and Intel/AMD CPUs. QumulusAI offers HPC infrastructure uniquely configured around your specific workloads, instead of legacy providers’ one-size-fits-all approach. We collaborate with you through design, deployment, to ongoing optimization, adapting as your AI projects evolve, so you get exactly what you need at each step. We own the entire stack. That means better performance, greater control, and more predictable costs than with other providers who coordinate with third-party vendors. -
38
Appvia Wayfinder
Appvia
Appvia Wayfinder is a trusted infrastructure operations platform designed to increase developer velocity. It enables platform teams to operate at scale by providing self-service guardrails for standardisation. Supporting integration with AWS, Azure, and more, Wayfinder offers self-service provisioning of environments and cloud resources using a catalogue of manageable Terraform modules. Its built-in principles of isolation and least privilege ensure secure default configurations, while granting fine-grained control to platform teams over underlying CRDs. It offers centralized control and visibility over clusters, apps, and cloud resources across various clouds. Additionally, Wayfinder's cloud automation capability supports safe deployments and upgrades through the use of ephemeral clusters and namespaces. Choose Appvia Wayfinder for streamlined, secure, and efficient infrastructure management.Starting Price: $0.035 US per vcpu per hour -
39
xCAT
xCAT
xCAT (Extreme Cloud Administration Toolkit) is an open source tool designed to automate the deployment, scaling, and management of bare metal servers and virtual machines. It offers comprehensive management capabilities for high-performance computing clusters, render farms, grids, web farms, online gaming infrastructures, clouds, and data centers. xCAT provides an extensible framework based on years of system administration best practices, enabling administrators to discover hardware servers, execute remote system management, provision operating systems on physical or virtual machines in both disk and diskless modes, install and configure user applications, and perform parallel system management. The toolkit supports various operating systems, including Red Hat, Ubuntu, SUSE, and CentOS, and is compatible with architectures such as ppc64le, x86_64, and ppc64. It integrates with management protocols like IPMI, HMC, FSP, and OpenBMC, facilitating remote console access.Starting Price: Free -
40
Azure Batch
Microsoft
Batch runs the applications that you use on workstations and clusters. It’s easy to cloud-enable your executable files and scripts to scale out. Batch provides a queue to receive the work that you want to run and executes your applications. Describe the data that need to be moved to the cloud for processing, how the data should be distributed, what parameters to use for each task, and the command to start the process. Think about it like an assembly line with multiple applications. With Batch, you can share data between steps and manage the execution as a whole. Batch processes jobs on demand, not on a predefined schedule, so your customers run jobs in the cloud when they need to. Manage who can access Batch and how many resources they can use, and ensure that requirements such as encryption are met. Rich monitoring helps you to know what’s going on and identify problems.Starting Price: $3.1390 per month -
41
Azure HPC
Microsoft
Azure high-performance computing (HPC). Power breakthrough innovations, solve complex problems, and optimize your compute-intensive workloads. Build and run your most demanding workloads in the cloud with a full stack solution purpose-built for HPC. Deliver supercomputing power, interoperability, and near-infinite scalability for compute-intensive workloads with Azure Virtual Machines. Empower decision-making and deliver next-generation AI with industry-leading Azure AI and analytics services. Help secure your data and applications and streamline compliance with multilayered, built-in security and confidential computing. -
42
HashiCorp Nomad
HashiCorp
A simple and flexible workload orchestrator to deploy and manage containers and non-containerized applications across on-prem and clouds at scale. Single 35MB binary that integrates into existing infrastructure. Easy to operate on-prem or in the cloud with minimal overhead. Orchestrate applications of any type - not just containers. First class support for Docker, Windows, Java, VMs, and more. Bring orchestration benefits to existing services. Achieve zero downtime deployments, improved resilience, higher resource utilization, and more without containerization. Single command for multi-region, multi-cloud federation. Deploy applications globally to any region using Nomad as a single unified control plane. One single unified workflow for deploying to bare metal or cloud environments. Enable multi-cloud applications with ease. Nomad integrates seamlessly with Terraform, Consul and Vault for provisioning, service networking, and secrets management. -
43
NVIDIA Run:ai
NVIDIA
NVIDIA Run:ai is an enterprise platform designed to optimize AI workloads and orchestrate GPU resources efficiently. It dynamically allocates and manages GPU compute across hybrid, multi-cloud, and on-premises environments, maximizing utilization and scaling AI training and inference. The platform offers centralized AI infrastructure management, enabling seamless resource pooling and workload distribution. Built with an API-first approach, Run:ai integrates with major AI frameworks and machine learning tools to support flexible deployment anywhere. It also features a powerful policy engine for strategic resource governance, reducing manual intervention. With proven results like 10x GPU availability and 5x utilization, NVIDIA Run:ai accelerates AI development cycles and boosts ROI. -
44
AWS Parallel Computing Service (AWS PCS) is a managed service that simplifies running and scaling high-performance computing workloads and building scientific and engineering models on AWS using Slurm. It enables the creation of complete, elastic environments that integrate computing, storage, networking, and visualization tools, allowing users to focus on research and innovation without the burden of infrastructure management. AWS PCS offers managed updates and built-in observability features, enhancing cluster operations and maintenance. Users can build and deploy scalable, reliable, and secure HPC clusters through the AWS Management Console, AWS Command Line Interface (AWS CLI), or AWS SDK. The service supports various use cases, including tightly coupled workloads like computer-aided engineering, high-throughput computing such as genomics analysis, accelerated computing with GPUs, and custom silicon like AWS Trainium and AWS Inferentia.Starting Price: $0.5977 per hour
-
45
Azure Kubernetes Fleet Manager
Microsoft
Easily handle multicluster scenarios for Azure Kubernetes Service (AKS) clusters such as workload propagation, north-south load balancing (for traffic flowing into member clusters), and upgrade orchestration across multiple clusters. Fleet cluster enables centralized management of all your clusters at scale. The managed hub cluster takes care of the upgrades and Kubernetes cluster configuration for you. Kubernetes configuration propagation lets you use policies and overrides to disseminate objects across fleet member clusters. North-south load balancer orchestrates traffic flow across workloads deployed in multiple member clusters of the fleet. Group any combination of your Azure Kubernetes Service (AKS) clusters to simplify multi-cluster workflows like Kubernetes configuration propagation and multi-cluster networking. Fleet requires a hub Kubernetes cluster to store configurations for placement policy and multicluster networking.Starting Price: $0.10 per cluster per hour -
46
Amazon EC2 UltraClusters
Amazon
Amazon EC2 UltraClusters enable you to scale to thousands of GPUs or purpose-built machine learning accelerators, such as AWS Trainium, providing on-demand access to supercomputing-class performance. They democratize supercomputing for ML, generative AI, and high-performance computing developers through a simple pay-as-you-go model without setup or maintenance costs. UltraClusters consist of thousands of accelerated EC2 instances co-located in a given AWS Availability Zone, interconnected using Elastic Fabric Adapter (EFA) networking in a petabit-scale nonblocking network. This architecture offers high-performance networking and access to Amazon FSx for Lustre, a fully managed shared storage built on a high-performance parallel file system, enabling rapid processing of massive datasets with sub-millisecond latencies. EC2 UltraClusters provide scale-out capabilities for distributed ML training and tightly coupled HPC workloads, reducing training times. -
47
Covalent
Agnostiq
Covalent’s serverless HPC architecture allows you to easily scale jobs from your laptop to your HPC/Cloud. Covalent is a Pythonic workflow tool for computational scientists, AI/ML software engineers, and anyone who needs to run experiments on limited or expensive computing resources including quantum computers, HPC clusters, GPU arrays, and cloud services. Covalent enables a researcher to run computation tasks on an advanced hardware platform – such as a quantum computer or serverless HPC cluster – using a single line of code. The latest release of Covalent includes two new feature sets and three major enhancements. True to its modular nature, Covalent now allows users to define custom pre- and post-hooks to electrons to facilitate various use cases from setting up remote environments (using DepsPip) to running custom functions.Starting Price: Free -
48
MapReduce
Baidu AI Cloud
You can perform on-demand deployment and automatic scaling of the cluster, and focus on the big data processing, analysis, and reporting only. Thanks to many years’ of massively distributed computing technology accumulation, Our operations team can undertake the cluster operations. It automatically scales up clusters to improve the computing ability in peak periods and scales down clusters to reduce the cost in the valley period. It provides the management console to facilitate cluster management, template customization, task submission, and alarm monitoring. By deploying together with the BCC, it focuses on its own business in a busy time and helps the BMR to compute the big data in free time, reducing the overall IT expenditure. -
49
CAPE
Biqmind
Multi-Cloud, Multi-Cluster Kubernetes App Deployment & Migration Made Simple. Unleash your K8s superpower with CAPE. Key Features. Disaster Recovery. Stateful application backup and restore for Disaster Recovery Data Mobility & Migration. Secure application & data management and migration across on-prem, private and public clouds. Multi-cluster Application Deployment. Stateful application deployment across multi-cluster & multi-cloud. Drag & Drop CI/CD Workflow Manager. Simplified UI for complex CI/CD pipeline configuration & deployment. CAPE for K8s Disaster Recovery Cluster Migration Cluster Upgrades Data Migration Data Protection Data Cloning App Deployment. CAPE™ radically simplifies advanced Kubernetes functionalities such as Disaster Recovery, Data Mobility & Migration, Multi-cluster Application Deployment, and CI/CD across on-prem, private and public clouds. Multi-Cluster Application Deployment. Control plane to federate clusters, manage application and servicesStarting Price: $20 per month -
50
AWS Elastic Fabric Adapter (EFA)
United States
Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run applications requiring high levels of inter-node communications at scale on AWS. Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High-Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud. EFA is available as an optional EC2 networking feature that you can enable on any supported EC2 instance at no additional cost. Plus, it works with the most commonly used interfaces, APIs, and libraries for inter-node communications.
