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Wednesday, May 6, 2026
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Wed
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Samsung Reaches $1T Valuation on AI Chip Demand

Surge driven by high-bandwidth memory chips critical for AI systems.

OpenAI Releases MRC Protocol for AI Training

Improves resilience and performance in large-scale AI clusters.

latest articles

AWS AI League: Atos fine-tunes approach to AI education

This post is co-written with Mark Ross from Atos. Organizations pursuing AI transformation can face a familiar challenge: how to...
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Snap Decisions: How Open Libraries for Accelerated Data Processing Boost A/B Testing for Snapchat

The features on social media apps like Snapchat evolve nearly as fast as what’s trending. To keep pace, its...
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GTC Spotlights NVIDIA RTX PCs and DGX Sparks Running Latest Open Models and AI Agents Locally

The paradigm of consumer computing has revolved around the concept of a personal device — from PCs to smartphones...
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NVIDIA DSX Air Boosts Time to Token With Accelerated Simulation for AI Factories

Setting up AI factories in simulation — decreasing deployment time from months to days — is  accelerating the next...
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Roche Scales NVIDIA AI Factories Globally to Accelerate Drug Discovery, Diagnostic Solutions and Manufacturing Breakthroughs

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AWS and NVIDIA deepen strategic collaboration to accelerate AI from pilot to production

AI is moving fast, and for most of our customers, the real opportunity isn’t in experimenting with it—it’s in...
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Agentic AI in the Enterprise Part 2: Guidance by Persona

This is Part II of a two-part series from the AWS Generative AI Innovation Center. If you missed Part...
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Introducing Disaggregated Inference on AWS powered by llm-d

We thank Greg Pereira and Robert Shaw from the llm-d team for their support in bringing llm-d to AWS. In...
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Build an offline feature store using Amazon SageMaker Unified Studio and SageMaker Catalog

Building and managing machine learning (ML) features at scale is one of the most critical and complex challenges in...
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How Workhuman built multi-tenant self-service reporting using Amazon Quick Sight embedded dashboards

This post is cowritten with Ilija Subanovic and Michael Rice from Workhuman. Workhuman’s customer service and analytics team were drowning...
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P-EAGLE: Faster LLM inference with Parallel Speculative Decoding in vLLM

EAGLE is the state-of-the-art method for speculative decoding in large language model (LLM) inference, but its autoregressive drafting creates...
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Secure AI agents with Policy in Amazon Bedrock AgentCore

Deploying AI agents safely in regulated industries is challenging. Without proper boundaries, agents that access sensitive data or execute...
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