14 Integrations with AMD Radeon ProRender

View a list of AMD Radeon ProRender integrations and software that integrates with AMD Radeon ProRender below. Compare the best AMD Radeon ProRender integrations as well as features, ratings, user reviews, and pricing of software that integrates with AMD Radeon ProRender. Here are the current AMD Radeon ProRender integrations in 2026:

  • 1
    Xesktop

    Xesktop

    Xesktop

    After the advent of GPU computing and the horizons it expanded in the worlds of Data Science, Programming and Computer Graphics came the need for access to cost-friendly and reliable GPU Server rental services. That’s why we’re here. Our powerful, dedicated GPU servers in the cloud are at your disposal for GPU 3D rendering. Xesktop high-performance servers are perfect for intense rendering workloads. Each server runs on dedicated hardware meaning you’re getting maximum GPU performance and no compromises like on typical Virtual Machines. Maximize the GPU capabilities of engines like Octane, Redshift, Cycles, or any other engine you work with. You can connect to a server or multiple servers using your existing Windows system image at any time. All images that you create are reusable. Use the server as if it were your own personal computer.
    Starting Price: $6 per hour
  • 2
    Render Pool

    Render Pool

    Render Pool

    Automatic distributed processing of 1 to 10,000+ frames on 1,000+ high-performance servers. Unlike processing on a local PC, this minimizes rendering time for anyone, at any scale. Cloud rendering frees up your local PC load to do other things. Creators gain more production time for VFX, CGI, 3D modeling, VR, motion graphics, or whatever they’re creating. If you check the Shader editor, the icon should differ when the resource is not packed or packed.
    Starting Price: $0.03 per GPU minute
  • 3
    Google Cloud Confidential VMs
    Google Cloud’s Confidential Computing delivers hardware-based Trusted Execution Environments to encrypt data in use, completing the encryption lifecycle alongside data at rest and in transit. It includes Confidential VMs (using AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs), Confidential Space (enabling secure multi-party data sharing), Google Cloud Attestation, and split-trust encryption tooling. Confidential VMs support workloads in Compute Engine and are available across services such as Dataproc, Dataflow, GKE, and Vertex AI Workbench. It ensures runtime encryption of memory, isolation from host OS/hypervisor, and attestation features so customers gain proof that their workloads run in a secure enclave. Use cases range from confidential analytics and federated learning in healthcare and finance to generative-AI model hosting and collaborative supply-chain data sharing.
    Starting Price: $0.005479 per hour
  • 4
    StockInsights

    StockInsights

    StockInsights

    Large Language Models (LLMs) are changing the way technology works. These powerful models are reshaping the boundaries of what's achievable, heralding a new era in AI innovation. StockInsights is the first platform that combines the potential of LLMs with the realm of financial research. StockInsights seamlessly melds LLM capabilities with the intricacies of financial data to help you make smarter decisions using powerful insights from the world of finance. Stay informed about your investment holdings effortlessly. Analyze data from various sources to generate actionable insights. Empower your research with cutting-edge technology. Our APIs provide developers with the tools they need to seamlessly integrate StockInsights' data and insights into their quant models, financial apps, and platforms. Access structured financial data for earnings calls and more. Keep users informed with alerts and AI-generated summaries.
    Starting Price: $10 per month
  • 5
    AWS Marketplace
    AWS Marketplace is a curated digital catalog that enables customers to discover, purchase, deploy, and manage third-party software, data products, AI agents, and services directly within the AWS ecosystem. It provides access to thousands of listings across categories like security, machine learning, business applications, and DevOps tools. With flexible pricing models such as pay-as-you-go, annual subscriptions, and free trials, AWS Marketplace simplifies procurement and billing by integrating costs into a single AWS invoice. It also supports rapid deployment with pre-configured software that can be launched on AWS infrastructure. This streamlined approach allows businesses to accelerate innovation, reduce time-to-market, and maintain better control over software usage and costs.
  • 6
    Nurix

    Nurix

    Nurix

    Nurix AI is a Bengaluru-based company specializing in the development of custom AI agents designed to automate and enhance enterprise workflows across various sectors, including sales and customer support. Nurix AI's platform integrates seamlessly with existing enterprise systems, enabling AI agents to execute complex tasks autonomously, provide real-time responses, and make intelligent decisions without constant human oversight. A standout feature is their proprietary voice-to-voice model, which supports low-latency, human-like conversations in multiple languages, enhancing customer interactions. Nurix AI offers tailored AI services for startups, providing end-to-end solutions to build and scale AI products without the need for extensive in-house teams. Their expertise encompasses large language models, cloud integration, inference, and model training, ensuring that clients receive reliable and enterprise-ready AI solutions.
  • 7
    Sesterce

    Sesterce

    Sesterce

    Sesterce Cloud offers the seamless and simplest way to launch a GPU Cloud instance, in bare-metal or virtualized mode. Our platform is tailored to allow early-stage teams to collaborate, for training or deploying AI solutions through a large range of NVIDIA and AMD products and optimized pricing, in over 50 regions worldwide. We also offer packaged, turnkey AI solutions for companies that want to rapidly deploy tools to automate their processes, or develop new sources of growth. All with integrated customer support, 99.9% uptime, unlimited storage capacity.
    Starting Price: $0.30/GPU/hr
  • 8
    Decentriq

    Decentriq

    Decentriq

    Privacy-minded organizations work with Decentriq. With the latest advancements in encryption and privacy-enhancing technologies such as synthetic data, differential privacy, and confidential computing, your data stays under your control at all times. End-to-end encryption keeps your data private to all other parties. Decentriq cannot see or access your data. Remote attestation gives you verification that your data is encrypted and only approved analyses are running. Built-in partnership with market-leading hardware and infrastructure providers. Designed to handle even advanced AI and machine learning models, the platform keeps your data inaccessible no matter the challenge. With processing speeds approaching typical cloud levels, you don’t have to sacrifice scalability for excellent data protection. Our growing network of data connectors supports more streamlined workflows across leading data platforms.
  • 9
    Dell AI-Ready Data Platform
    Purpose-built to run AI anywhere on data everywhere. Our solution unlocks the value of your unstructured data, allowing you to access, prepare, train, fine-tune, and drive AI without any limitations. We’ve joined our industry-leading file and object storage portfolio, including PowerScale, ECS, and ObjectScale, with our PowerEdge server and open, modern data lakehouse approach. This gives you the power to bring AI to your unstructured data, on-premises, at the edge, and in any cloud with the highest performance and infinite scale. Access a full team of trained data scientists and industry experts who will help you implement AI use cases that deliver the most value for your business. Protect, detect, and respond to cyber attackers with hardened software and hardware security and real-time threat detection. Train and fine-tune your AI models using a single point of data access and the highest performance, on-premises, at the edge, and in any cloud.
  • 10
    PQShield

    PQShield

    PQShield

    PQShield offers a comprehensive suite of post-quantum cryptography solutions designed to future-proof digital infrastructures against the emerging threats posed by quantum computing. Their UltraPQ-Suite encompasses a range of hardware and software products optimized for various use cases, including ultra-fast, ultra-small, and ultra-secure implementations. PQShield's offerings include PQPlatform-Lattice, a compact, FIPS 140-3 CAVP-compliant cryptographic engine supporting lattice-based algorithms like ML-KEM and ML-DSA; PQPlatform-CoPro, which combines hash-based and lattice-based cryptography engines for seamless integration into existing security subsystems; and PQPlatform-TrustSys, a fully autonomous, PQC-focused root-of-trust subsystem designed for minimal integration effort and robust side-channel protection. PQCryptoLib provides a general-purpose cryptographic library supporting both post-quantum and classical algorithms, facilitating smooth transitions to quantum systems.
  • 11
    TensorWave

    TensorWave

    TensorWave

    TensorWave is an AI and high-performance computing (HPC) cloud platform purpose-built for performance, powered exclusively by AMD Instinct Series GPUs. It delivers high-bandwidth, memory-optimized infrastructure that scales with your most demanding models, training, or inference. TensorWave offers access to AMD’s top-tier GPUs within seconds, including the MI300X and MI325X accelerators, which feature industry-leading memory capacity and bandwidth, with up to 256GB of HBM3E supporting 6.0TB/s. TensorWave's architecture includes UEC-ready capabilities that optimize the next generation of Ethernet for AI and HPC networking, and direct liquid cooling that delivers exceptional total cost of ownership with up to 51% data center energy cost savings. TensorWave provides high-speed network storage, ensuring game-changing performance, security, and scalability for AI pipelines. It offers plug-and-play compatibility with a wide range of tools and platforms, supporting models, libraries, etc.
  • 12
    Amazon EC2 G4 Instances
    Amazon EC2 G4 instances are optimized for machine learning inference and graphics-intensive applications. It offers a choice between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad). G4dn instances combine NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing a balance of compute, memory, and networking resources. These instances are ideal for deploying machine learning models, video transcoding, game streaming, and graphics rendering. G4ad instances, featuring AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, deliver cost-effective solutions for graphics workloads. Both G4dn and G4ad instances support Amazon Elastic Inference, allowing users to attach low-cost GPU-powered inference acceleration to Amazon EC2 and reduce deep learning inference costs. They are available in various sizes to accommodate different performance needs and are integrated with AWS services such as Amazon SageMaker, Amazon ECS, and Amazon EKS.
  • 13
    Cosmian

    Cosmian

    Cosmian

    Cosmian’s Data Protection Suite delivers a comprehensive, next-generation cryptography platform to secure sensitive data and applications in use, at rest, and in motion across cloud and edge environments. It includes Cosmian Covercrypt, a high-performance hybrid classical and post-quantum encryption library with traceable, fine-grained access control; Cosmian KMS, an open-source, centralized key management system that enables massive client-side encryption on the fly; and Cosmian VM, a plug-and-play, verifiable confidential virtual machine that continuously cryptographically verifies its own integrity without disrupting existing workflows. An AI Runner (“Cosmian AI”) operates within the confidential VM to enable secure model training, querying, and fine-tuning, no coding required. All components integrate via simple APIs and deploy rapidly through AWS, Azure, or Google Cloud marketplaces, empowering organizations to build zero-trust architectures.
  • 14
    Dive

    Dive

    Dive

    Dive CAE is a cloud-native computational fluid dynamics software platform that enables engineers to simulate complex fluid behaviors, such as free-surface flow, multiphase interactions, heat transfer, and moving machinery, using a mesh-free Smoothed Particle Hydrodynamics method. It runs entirely in the browser and on high-performance computing infrastructure, so users don’t need local hardware or installation. The mesh-free approach allows for modeling of complex geometry, surface tension, non-Newtonian fluids, and transient flows without the time-consuming meshing and tuning required by conventional CFD. Onboarding is fast (typically under one day), and the software supports parallel design-of-experiment workflows that deliver multiple iterations in hours rather than days. Dive CAE emphasizes collaboration, license simplicity (one licence for all users), transparent cost control, data usage governance, and scalability via cloud infrastructure.
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