NVIDIA accelerates next-generation capabilities in AI, high-performance computing (HPC), industrial digitalization, robotics, data analytics, and graphics, pushing the boundaries of what’s possible. With full-stack NVIDIA solutions available through all top cloud platforms, enterprises and developers everywhere can create transformative applications with ease while enhancing performance, reducing costs, and improving energy efficiency.
Benefits
Explore the Benefits of Cloud Computing
NVIDIA’s full-stack accelerated computing platform provides unparalleled performance and efficiency in the cloud.
Simplify Infrastructure Management
NVIDIA platforms, combined with the agility and simplified management of the cloud, enable you to securely provision right-sized accelerated computing resources and automatically scale up or down based on demand. NVIDIA’s latest accelerated computing platforms, software libraries, and networking solutions deliver the performance, security, and scale required to power the next wave of agentic and physical AI in the cloud.
Enterprise-Grade Software and Services
NVIDIA’s full-stack innovation delivers an integrated platform for the world’s most complex AI, HPC, and data analytics workloads. With enterprise-grade, GPU-optimized software available through NVIDIA AI Enterprise and fully managed AI platforms like NVIDIA DGX™ Cloud—available on all major clouds—you can boost performance, accelerate time to solution, and reduce TCO with NVIDIA’s support. Developers also have the flexibility to seamlessly integrate NVIDIA software into first-party managed services or self-hosted services on the cloud to accelerate end-to-end workflows.
Optimize Energy and Cost Savings
NVIDIA accelerated computing platforms in the cloud provide the highest performance and energy efficiency, improving efficiency with each GPU generation.
Enable innovation with best-in-class performance for AI and machine learning), HPC, and graphics workloads, minimizing operating expenses and maximizing ROI.
One Platform, Any Cloud
NVIDIA's full-stack platform delivers unparalleled performance, simplifies development, and ensures portability across cloud environments. With the unified NVIDIA accelerated computing platform available on any cloud, developers gain access to a rich ecosystem that provides consistent performance and scalability, enabling them to develop and deploy applications anywhere. This allows enterprises to standardize across clouds and make a multi- or hybrid-cloud strategy cost-effective and easy to adopt.
Get the Best of NVIDIA AI in the Cloud
NVIDIA DGX Cloud is a high-performance, fully managed AI platform that provides optimized accelerated computing clusters on any cloud with flexible term lengths and access to NVIDIA experts to fast-track AI initiatives.
NVIDIA Cloud Partners, part of the NVIDIA Partner Network, offer computing and services on high-performance infrastructure that is purpose-built to handle diverse workloads and demanding applications, such as AI agents, generative AI, and data analytics.
NVIDIA AI is the world’s most advanced platform for generative AI, trusted by organizations at the forefront of innovation. It’s designed for enterprise and continuously updated, letting you confidently deploy generative AI applications into production, at scale, anywhere.
Drive breakthrough inference performance and accelerate path-to-production deployments for your AI-enabled applications in the cloud. NVIDIA Triton™ Inference Server and NVIDIA® TensorRT™ deliver low-latency, high-throughput inference through advanced optimizations.
NVIDIA AI Enterprise is available from major cloud marketplaces and integrates with cloud-native MLOps and AIOps services for enterprise-grade AI inference at scale.
Digitalization, through the creation of digital twins, will let enterprises design and simulate their physical processes before constructing a physical replica. This process accelerates the design and review process and increases efficiency while reducing costs. When 3D simulations are connected to the physical world using Universal Scene Description (OpenUSD), companies can continuously operate and optimize their digital and physical twins through real-time, AI-enabled monitoring.
NVIDIA Omniverse™ Cloud, available on Microsoft Azure, is a platform of APIs, SDKs, and services available within a full-stack cloud environment for enterprise developers.
High-performance computing (HPC) is one of the most essential tools fueling the advancement of scientific computing. From weather forecasting and energy exploration to computational fluid dynamics and life sciences, researchers are fusing traditional simulations with AI, machine learning, big data analytics, and edge computing to solve the mysteries of the world around us.
Catch up on the latest breakthroughs and innovations from NVIDIA and our cloud partners.
Blogs
Customer Stories
Sessions
Perplexity AI
AWS: Perplexity
Perplexity uses the NVIDIA accelerated computing platform on AWS to power AI training and inference.
The company reduces model training time by up to 40% with Amazon SageMaker HyperPod, accelerated by NVIDIA GPUs. During spike periods, it delivers near-real-time inference for 10,000 concurrent users and 100,000 queries per hour using Amazon EC2 P5 Instances, accelerated by NVIDIA Hopper™ GPUs and NVIDIA GPU-optimized software.
BMW transformed its electric vehicle production system by leveraging NVIDIA AI and Azure Machine Learning, enabling real-time, AI-powered automated inspections that dramatically improve quality control and operational efficiency in electric drive system manufacturing.
Writer, a full-stack generative AI platform for enterprises, leverages NVIDIA H100 and L4 Tensor Core GPUs on GKE with the NVIDIA NeMo™ framework and TensorRT-LLM to train and deploy over 17 large language models that scale up to 70 billion parameters.
Encina, a plastic recycling innovator, is tackling climate change by leveraging Microsoft Azure, CPFD Software, and NVIDIA accelerated computing to run simulations 506X faster than CPU-based methods, significantly reducing costs and accelerating the design of next-generation recycling facilities. This computational leap enables Encina to revolutionize sustainable plastic recycling and contribute to global efforts to reduce plastic waste and carbon emissions.
LiveX AI leverages the power of NVIDIA NIM microservices on Google Kubernetes Engine with NVIDIA GPUs to achieve a 6.1X increase in average token speed. This enhancement lets LiveX AI deliver personalized experiences to customers in real time, including seamless customer support, instant product recommendations, and reduced returns.
Modal Labs uses a wide range of bare-metal machines accelerated by NVIDIA GPUs on OCI to quickly scale resources when launching their customers' demanding generative AI workloads.
