Building AI systems at scale is demanding, requiring low-latency inference, fast vector search, strong GPU price-performance and infrastructure that can grow without multiplying operational complexity.
NVIDIA’s latest work with Amazon Web Services (AWS) addresses each of those constraints. Across Amazon OpenSearch and Amazon EC2, NVIDIA AI infrastructure is giving enterprises more practical paths to deploy AI at production scale.
EC2 G7 instances powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs expand the compute layer for AI, graphics, video and data analytics workloads, while the NVIDIA cuVS library accelerates the retrieval layer by making GPU-powered vector indexing the default in OpenSearch Serverless. And with AWS achieving NVIDIA Exemplar Cloud status for NVIDIA GB300, customers can trust they’re receiving peak optimized performance for their training workloads.
NVIDIA RTX PRO 4500 Blackwell Server Edition Multi-Workload GPUs Power New Amazon EC2 G7 Instances
Amazon EC2 G7 instances bring NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs to AWS for AI inference, graphics, spatial computing and GPU-accelerated data analytics — delivering a new instance type engineered for production workloads that need performance without the operational overhead of a customer-managed GPU platform.
