Partners: Red Hat and Nvidia
Accelerating AI and a vision of the future
Red Hat and NVIDIA partner to deliver the latest innovations, sharing an AI vision fueled by open source, cloud-native technologies.
What we’re doing together
Red Hat and NVIDIA are committed to open source collaboration to accelerate delivery of artificial intelligence (AI)-powered applications. We work together to help you run your business using familiar infrastructure on many footprints, from on-site, virtualized, and private cloud deployments to public clouds—and all the way to the edge of the network.
- Red Hat Expands Collaboration With NVIDIA to Advance AI and 5G Solutions Across the Hybrid and Multi Cloud
- Red Hat and NVIDIA are reshaping edge computing fabric
- Red Hat supports NVIDIA IGX Edge AI computing platform
- Visit the Red Hat showcase from NVIDIA GTC Fall
- Red Hat Lowers Barriers to AI Projects with Red Hat OpenShift
- What's New in NVIDIA AI Enterprise
Advance hybrid cloud AI
The Red Hat and NVIDIA AI-Ready Enterprise platform includes NVIDIA AI Enterprise software and support services certified to run with Red Hat® OpenShift® on NVIDIA-Certified Systems. This platform addresses three key challenges:
Complexity with deployment and scaling
Lack of self-service access to AI tools and infrastructure
Isolated operations environments
Solution overview: NVIDIA AI-Ready Enterprise platform with Red Hat OpenShift
Blog: Red Hat OpenShift Certified and Supported for the Public Cloud with NVIDIA AI Enterprise
Blog: How Red Hat and NVIDIA are helping to accelerate enterprise AI projects with GPUs, DPUs and MLOps
Kick-start your AI journey: Hands-on labs with NVIDIA LaunchPad
The NVIDIA LaunchPad program provides immediate, short-term access to the NVIDIA AI Enterprise software suite running with Red Hat OpenShift.
Get started now—for free: NVIDIA AI and Red Hat Labs
Watch the video: Get Started with Enterprise AI on NVIDIA LaunchPad
Enhance AI orchestration and automation
Red Hat OpenShift is a Kubernetes container platform built for an open hybrid cloud strategy. The NVIDIA BlueField data processing unit (DPU) offloads and accelerates infrastructure tasks from the server central processing unit (CPU) for more efficient and more security-focused servers and networking. Together, Red Hat OpenShift, Red Hat Enterprise Linux®, and NVIDIA BlueField DPUs provide a consistent, cloud-native application platform to manage hybrid cloud, multicloud, and edge deployments with enhanced orchestration, automation, and a focus on security.
Blog: Building a more secure, composable AI-powered infrastructure with Red Hat and NVIDIA
Trial: Be among the first to test and run Red Hat OpenShift on the NVIDIA BlueField DPU
NVIDIA on-demand session: Accelerating Kubernetes Hybrid Clouds with BlueField DPUs and OpenShift for Ultimate Security and Efficiency
Simplify AI workload deployments
NVIDIA GPU Operator for Red Hat OpenShift helps simplify and accelerate compute-intensive machine-learning and deep-learning (ML/DL) modeling tasks, as well as deploying inferencing jobs across datacenters, edge compute deployments, and public clouds. The Feature Discovery plug-in within the GPU Operator allows OpenShift to dynamically allocate the correct GPU for its optimal workload. The joint solution is compatible with NVIDIA-Certified Systems and Red Hat Enterprise Linux certified servers.
Empower AI at the edge of the network
Leading enterprise, industry, and telecommunications companies are shifting workloads from traditional datacenters to the outer boundaries of public and private networks. They are focused on bringing processing power and storage closer to the end user or data sources and are often faced with specific requirements to ensure productivity, security, and compliance. These requirements are imperative to delivering high-value services, intelligent industrial-grade edge applications, and scaling across geographically distributed locations. Technical innovation at edge deployments is a critical component of the Red Hat and NVIDIA joint strategy.
Accelerate development and deployment of cloud-native AI apps
AI is transforming how modern enterprises are doing business and pressing organizations to increasingly integrate AI capabilities into cloud-native applications to deliver more insight and value. AI workloads have different requirements than traditional IT compute, but Red Hat and NVIDIA provide machine learning operations (MLOps) solutions you need to deploy these applications and frameworks with confidence. Developing and operationalizing AI-powered cloud-native applications on NVIDIA-Certified Systems with Red Hat OpenShift, and featuring NVIDIA GPUs and DPUs, accelerates projects by enhancing efficiency and productivity for software developers, IT operators, and data scientists.
Accelerate AI for modern datacenters
Red Hat and NVIDIA provide accelerated AI infrastructure for bare-metal and virtualized deployments on site and in the public cloud. You can use NVIDIA’s NGC software hub to access GPU-optimized DL and ML applications and pretrained AI models on Red Hat OpenShift to take advantage of the massive parallel-processing capabilities of this solution.
Red Hat Enterprise Linux is the base operating system certified on NVIDIA’s DGX AI/ML systems, ConnectX adapters, and BlueField DPUs. It serves as a common link, connecting modern IT with a consistent, reliable, and flexible operating system that connects every technology within your IT stack. Additionally, precompiled driver packages available for Red Hat Enterprise Linux provide a predictable deployment foundation for NVIDIA GPU acceleration across hybrid cloud environments.
Experience IT manageability purpose-built for AI on-site capability with DGX
Bring the benefits of Red Hat Enterprise Linux and Red Hat OpenShift to NVIDIA DGX Systems, a platform purpose-built for the unique demands of AI. You can deploy these universal systems for any AI workload with the familiar management tools of Red Hat Enterprise Linux while employing IT-developed methods and optimized AI software from NVIDIA. Red Hat OpenShift is also certified for use with DGX as a part of the NVIDIA DGX-Ready Software program.
Customer success story: Royal Bank of Canada and Borealis AI
Run advanced financial and market risk applications with record-breaking performance
The Securities Technology Analysis Center (STAC)-A2 Benchmark suite is the industry standard for testing technology stacks used for compute-intensive analytic workloads. Red Hat and NVIDIA collaborated to create the first public STAC-A2 results using Red Hat OpenShift. Compared to all other publicly reported results, this solution, based on Red Hat OpenShift and NVIDIA DGX A100, set several new records for performance metrics and energy efficiency. The results affirm Red Hat OpenShift's ability to run compute-heavy, high-performance workloads.
Red Hat’s newest original podcast, featuring insights and stories from experienced technologists across the industry
Build the future you want: Red Hat Summit 2022 keynote with Red Hat and NVIDIA
Enterprises are at a crossroads, and the approach they take in selecting technologies and partners has never been more critical. Red Hat CTO Chris Wright invites viewers to reimagine what they believe is possible so they can build the future they want.
theCUBE: Think bigger on AI
Continuous improvement of AI models in production is critical. Justin Boitano, VP of Enterprise and Edge Computing at NVIDIA, and Tushar Katarki, Director of Product Management at Red Hat, discuss how you can think bigger with AI.
Customers know that they've got to embark on this journey to apply AI to transform their business... And so, we built the LaunchPad program to give them instant access to AI servers with Red Hat OpenShift, with the MLOps tooling… They can do hands-on labs and walk out with a blueprint for building their application with the software and containers supported in production and operating at scale with OpenShift.
See how we’ve helped customers like you
On-demand sessions and videos
Red Hat AI/ML partner ecosystem: Software for AI/ML
Discover how Red Hat and NVIDIA can help accelerate AI across hybrid cloud and modern datacenter environments.