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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 upskill their workforce at scale...
Snap Decisions: How Open Libraries for Accelerated Data Processing Boost A/B...
The features on social media apps like Snapchat evolve nearly as fast as what’s trending. To keep pace, its parent company Snap has adopted...
GTC Spotlights NVIDIA RTX PCs and DGX Sparks Running Latest Open...
The paradigm of consumer computing has revolved around the concept of a personal device — from PCs to smartphones and tablets. Now, generative AI...
NVIDIA DSX Air Boosts Time to Token With Accelerated Simulation for...
Setting up AI factories in simulation — decreasing deployment time from months to days — is accelerating the next industrial revolution.
Nowhere was that more...
AWS and NVIDIA deepen strategic collaboration to accelerate AI from pilot...
AI is moving fast, and for most of our customers, the real opportunity isn’t in experimenting with it—it’s in running AI in production where...
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 I, refer to Operationalizing Agentic...
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 the agentic and reasoning era,...
Build an offline feature store using Amazon SageMaker Unified Studio and...
Building and managing machine learning (ML) features at scale is one of the most critical and complex challenges in modern data science workflows. Organizations...
How Workhuman built multi-tenant self-service reporting using Amazon Quick Sight embedded...
This post is cowritten with Ilija Subanovic and Michael Rice from Workhuman.
Workhuman’s customer service and analytics team were drowning in one-time reporting requests from...
