AWS And Microsoft Are Borrowing What Google Already Built

AWS partnered with Cerebras. Microsoft licensed Fireworks. Google built Ironwood. One week of announcements reveals who ...
Las Vegas Sun

AWS and Cerebras Collaboration Aims to Set a New Standard for AI Inference Speed and Performance in the Cloud

Built on the AWS Nitro System — the foundation of AWS's secure, high-performance cloud infrastructure — the new solution will ensure that Cerebras CS-3 systems and Trainium-powered instances operate ...
VentureBeat

When AI reasoning goes wrong: Microsoft Research shows more tokens can mean more problems

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are ...

The team behind continuous batching says your idle GPUs should be running inference, not sitting dark

FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...
TheStreet.com

Inference Isn’t A Problem. To Democratize AI, We Need To Cut The Costs Of Data Access

“The rapid release cycle in the AI industry has accelerated to the point where barely a day goes past without a new LLM being announced. But the same cannot be said for the underlying data,” notes ...
Security Boulevard

Inference protection for LLMs: Keeping sensitive data out of AI workflows

Inference protection is a preventive approach to LLM privacy that stops sensitive data from ever reaching AI models. Learn how de-identification enables secure, compliant AI workflows with ...
Network World

Arrcus targets AI inference bottleneck with policy-aware network fabric

As AI workloads shift from centralized training to distributed inference, the network faces new demands around latency requirements, data sovereignty boundaries, model preferences, and power ...