Cloud Computing Solutions
Accelerated Computing in the Cloud
Unleash enterprise AI, physical AI, and high-performance computing applications at any scale.
Overview
Breakthrough Innovation
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 throughNVIDIA AI Enterprise and fully managed AI platforms likeNVIDIA 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 andenergy 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.
The Best of NVIDIA AI, Delivered in the Cloud
Accelerate AI innovation across clouds with NVIDIA DGX™ Cloud—fast, scalable, and developer-first.
Partners
Get Started in the Cloud
NVIDIA Cloud Partners
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.
Solutions
Unlock the Benefits of NVIDIA in the Cloud
Generative AI Runs on NVIDIA
- 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.
- Explore the latest optimized AI models, includingNVIDIA Blueprints,NVIDIA NIM™, andNVIDIA Cosmos™, for the next era of agentic and physical AI.
Faster, More Accurate AI Inference
- Drive breakthrough inference performance and accelerate path-to-production deployments for your AI-enabled applications in the cloud.NVIDIA Triton™ Inference Server andNVIDIA® 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.
- Visit theAWS,Google Cloud,Microsoft Azure, andOracle Cloud Marketplaces.
Accelerated Data Science
- Accelerate data processing and machine learning with zero code changes using NVIDIA RAPIDS™ open-source software.
- Experience superior performance and reduced infrastructure costs in end-to-end data science workflows.
Industrial Digitalization
- 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 onMicrosoft Azure, is a platform of APIs, SDKs, and services available within a full-stack cloud environment for enterprise developers.
Ansys, Siemens Gamesa
High-Performance Computing
- 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.
NVIDIA Blackwell Ultra Delivers up to 50x Better Performance and 35x Lower Cost for Agentic AI
Built to accelerate the next generation of agentic AI, NVIDIA Blackwell Ultra delivers breakthrough inference performance with dramatically lower cost. Cloud providers such as Microsoft, CoreWeave, and Oracle Cloud Infrastructure are deploying NVIDIA GB300 NVL72 systems at scale for low-latency and long-context use cases, such as agentic coding and coding assistants.
This is enabled by deep co-design across NVIDIA Blackwell, NVLink™, and NVLink Switch for scale-out; NVFP4 for low-precision accuracy; and NVIDIA Dynamo and TensorRT™ LLM for speed and flexibility—as well as development with community frameworks SGLang, vLLM, and more.
Resources
Discover What’s New
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.
Microsoft Azure: BMW
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.
Google Cloud: Writer
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.
OCI: Beamr
Beamr uses NVIDIA L40S GPUs on OCI for accelerated video processing and achieves 30% more efficient video encoding.
AWS: A-Alpha Bio
A-Alpha Bio uses NVIDIA BioNeMo™ and NVIDIA Hopper GPUs on AWS to accelerate antibody drug discovery.
The company achieved 12X faster inference and a 10X increase in predictions, leading to higher-quality drug candidates.
Microsoft Azure: Encina
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.
Google Cloud: LiveX.AI
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.
OCI: Modal Labs
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.
Next Steps
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