NVIDIA and AWS expand full-stack partnership for Artificial Intelligence compute platform

NVIDIA and AWS expanded integration around Artificial Intelligence infrastructure at AWS re:Invent, announcing support for NVIDIA NVLink Fusion with Trainium4, Graviton and the Nitro System. the move aims to unify NVIDIA scale-up interconnect and MGX rack architecture with AWS custom silicon to speed cloud-scale Artificial Intelligence deployments.

NVIDIA and AWS announced an expanded strategic collaboration at AWS re:Invent focused on Artificial Intelligence infrastructure, interconnects, cloud services and physical Artificial Intelligence. AWS will support NVIDIA NVLink Fusion to deploy custom silicon including next-generation Trainium4 chips for inference and agentic model training, Graviton CPUs and the Nitro System virtualization infrastructure. using NVLink Fusion, AWS plans to combine NVIDIA NVLink scale-up interconnect and the NVIDIA MGX rack architecture with its custom silicon to increase performance and accelerate time to market for cloud-scale Artificial Intelligence capabilities.

the hardware expansion includes immediate availability of NVIDIA Blackwell architecture on AWS, including NVIDIA HGX B300 and NVIDIA GB300 NVL72 GPUs, with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs expected in the coming weeks. AWS also launched AWS AI Factories, a dedicated infrastructure offering that pairs NVIDIA Blackwell GPUs, NVIDIA Spectrum-X Ethernet switches and the full-stack NVIDIA accelerated computing platform to give customers sovereign deployment options and compliance controls. public sector organizations are highlighted as beneficiaries, with the unified architecture intended to let customers train and deploy massive models while maintaining control of proprietary data.

the partnership extends deep software and tooling integrations. NVIDIA Nemotron open models, including Nemotron Nano 2 and Nemotron Nano 2 VL, are integrated with Amazon Bedrock to enable production-scale generative and agentic applications. Amazon OpenSearch Service now offers serverless GPU acceleration for vector index building powered by NVIDIA cuVS, with early adopters seeing up to 10x faster vector indexing at a quarter of the cost. AWS and NVIDIA are also co-engineering agent tooling and observability through Strands Agents, NVIDIA NeMo Agent Toolkit and Amazon Bedrock AgentCore, and bringing NVIDIA Cosmos world foundation models to Amazon EKS and AWS Batch for robotics simulation and synthetic data generation. the companies noted a sustained collaboration spanning more than 15 years and emphasized global deployments and sovereign cloud commitments backed by award recognition from AWS.

68

Impact Score

Artificial intelligence becomes a lever for transformation in Africa

African researchers and institutions are positioning artificial intelligence as a tool to tackle structural challenges in health, education, agriculture and governance, while pushing for data sovereignty and local language inclusion. The continent faces hurdles around skills, infrastructure and control of data but is exploring frugal technological models tailored to its realities.

Microsoft unveils Maia 200 artificial intelligence inference accelerator

Microsoft has introduced Maia 200, a custom artificial intelligence inference accelerator built on a 3 nm process and designed to improve the economics of token generation for large models, including GPT-5.2. The chip targets higher performance per dollar for services like Microsoft Foundry and Microsoft 365 Copilot while supporting synthetic data pipelines for next generation models.

Samsung’s 2 nm node progress could revive foundry business and attract Qualcomm

Samsung Foundry’s 2 nm SF2 process is reportedly stabilizing at around 50% yields, positioning the Exynos 2600 as a key proof of concept and potentially helping the chip division return to profit. New demand from Tesla Artificial Intelligence chips and possible deals with Qualcomm and AMD are seen as central to the turnaround.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.