Why AWS and NVIDIA?
AWS and NVIDIA have collaborated since 2010 to continually deliver large-scale, cost-effective, and flexible GPU-accelerated solutions for customers. Spanning from the cloud to the edge, these innovations extend across infrastructure, software, and services to offer a full-stack solution that accelerates time to solution when building and deploying AI into production. With GPU-accelerated solutions available in multiple AWS Regions, customers can access the compute power that the need to achieve low latency, high performance, and high reliability.
Solutions
Generative AI and machine learning
GPU instances and software for the most complex AI/ML models
Organizations of all sizes are using generative AI for chatbots, document analysis, code generation, video and image generation, speech recognition, drug discovery, and synthetic data generation to fast-track innovation, improve customer service, and gain a competitive advantage. To realize the full value of these solutions, organizations need to customize AI and machine learning (ML) models using their own proprietary data but building models from scratch is expensive and time-consuming. Amazon EC2 instances, powered by NVIDIA GPUs, accelerate training and inference for increasingly complex LLMs and compute-intensive generative AI applications. NVIDIA NIM and NeMo microservices, part of NVIDIA AI Enterprise in the AWS Marketplace, enables organizations to unlock the potential of generative AI and LLMs at scale.
High performance computing
Solve large computational problems and gain new insights
High performance computing (HPC) allows scientists and engineers to solve complex, compute-intensive problems, quickly. HPC applications often require a combination of network performance, fast storage, large amounts of memory, and compute capabilities. AWS enables customers to increase the speed of research and reduce time-to-results by running GPU-powered HPC in the cloud and scaling to larger numbers of parallel tasks than would be practical in most on-premises environments. Amazon EC2 instances, powered by NVIDIA GPUs, are an ideal platform to run engineering simulations, computational finance, seismic analysis, molecular modeling, genomics, rendering, and other high performance compute workloads.
Learn more about Amazon EC2 P5 instances, powered by NVIDIA H100 Tensor Core GPUs
Internet of Things
Seamlessly extend AWS to edge devices so they can act locally
IoT devices with machine learning face a number of challenges. Limited computational resources at the edge can restrict the complexity and size of ML models while balancing the need for more sophisticated algorithms. Ensuring real-time processing, low latency and network security is paramount as edge devices are often more vulnerable to tampering and malicious attacks. AWS IoT Greengrass seamlessly extends AWS to edge devices such as NVIDIA Jetson so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage.
Industrial Metaverse
Optimize operations by easily creating simulations of real-world systems
Many industries are benefiting from the simulation of real-world objects which can be accurate and spatially-aware immersive representations of physical entities. The industrial metaverse, covering digital twins and other simulations, helps researchers and engineers better collaborate and test their products, such as virtual prototyping or remote monitoring in factories. NVIDIA Omniverse is a computing platform that enables individuals and teams to develop Universal Scene Description (OpenUSD) based 3D workflows and applications.
Virtual workstations
Adapt your workforce and access creative talent across the globe
As remote working grows and demand for HPC increases, so too does the need for virtual access to powerful workstations as industries adopt a more decentralized approach. NVIDIA's GPU technology ensures that graphic-intensive tasks such as 3D modeling, video editing, and AI development can be seamlessly executed in the cloud, providing users with the performance and visual fidelity they would traditionally expect from on-premises workstations. Running on Amazon EC2 instances, powered by NVIDIA GPUs, virtual workstations using NVIDIA RTX technology enhance flexibility and scalability enabling a more agile work environment for geographically dispersed teams.
Industry
AI is powering change in every industry across the globe. From speech recognition and recommender systems to medical imaging and improved supply chain management, AI is giving enterprises the compute power, tools, and algorithms their teams need to do their life’s work.
Healthcare and life sciences
HPC and AI are transforming medicine today. From enhanced medical imaging, accelerated genomics analysis, and new drug discovery and development, the HCLS industry can offer more personalized treatments, next-generation clinics, and enhanced quality of care.
Example customer: Paige
Financial services
In a fast-changing financial landscape, Banking institutions can use AI to harness vast amounts of data to increase encryption, boost security, detect fraud, and offer a more personalized service to their customers.
Example customer: Nerdwallet
Telecommunications
Telcos are looking to maximize data analytics, AI, and automation to improve customer service and increase loyalty. Create AI-enabled solutions, build software-defined infrastructure for 5G, and bring connected intelligence to smart devices at the edge.
Example customer: NTT Docomo
Public sector
AI-powered applications enhance disaster relief and climate resilience efforts while also speeding up time-consuming administrative tasks such as drafting, editing, and summarizing documents, updating databases, recording expenditures for auditing and compliance, dealing with customer enquiries.
Media and entertainment
New technologies are transforming the media and entertainment industry. AI-accelerated production pipelines deliver higher quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.
Example customer: Hive VFX
Automotive
Connected, autonomous, shared, and electric vehicle trends are converging to revolutionize the automotive industry. Through collaborative advancements in computational fluid dynamics (CFD), organizations are increasing safety and running more real-world simulations, faster.
Example customer: Lucid
Consumer internet
The online consumer market is one of the largest users of ML, deep learning, and data science. Harness data to pioneer products that are shaping the online experience from smart chatbots to AI-enhanced recommendation engines.
Example customer: Sway
Energy and utilities
Balancing demand with net-zero emission goals can be challenging. AWS and NVIDIA solutions help reduce environmental impact from subsurface operations, automate manually intensive surface operations, and bring real-time intelligence to the grid edge.
Game development
Modern games require increasingly complex graphics and the ability to efficiently scale testing and deployment. HPC infrastructure and generative AI can help create realistic visuals and immersive experiences, optimize rendering, automate testing, and improve image quality.
Manufacturing
AI and edge computing from AWS and NVIDIA help power the factory of the future. From revolutionizing product development and streamlining production workflows to enhancing operations, and supply chain logistics.
Example customer: Amazon Robotics
