Tomorrow’s AI networks need to adapt to stay ahead of the inference curve

Tomorrow's AI services depend on networks built for massive inference growth.

Hot French startup ZML releases free product to speed inference across lots of AI chips

ZML, a hot French AI startup endorsed by Turing Award winner Yann LeCun, has now released ZML/LLMD, software that could make ...

OpenAI unveils first custom AI inference chip, Jalapeño, with Broadcom — and its development was sped-up with OpenAI's own models

The companies attributed this speed to a deep software-hardware co-development process that actively used OpenAI’s own models ...

How AI Inference Sends Decision Making To The Edge

The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...
Grit Daily

Etched Secures $800 Million to Ship Inference Chips as AI Market Splinters Beyond Nvidia

Artificial Intelligence chip startup Etched has secured $800 million in total funding, positioning itself to ship inference-focused silicon to customers this ...

Crusoe Launches Serverless Fine-Tuning and Self-Serve Inference Deployments, Accelerating Open-Model Development From Experiment to Production

Purpose-Built AI Infrastructure Now Supports the Full Model Development Lifecycle—From Fine-Tuning to Production Inference—With No Cluster Provisioning, No Surprise Bills, and Full Weight ...
Tech Times

OpenAI Halves Inference Costs With Software Alone: GPUs Drop to Hundreds

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

The AI Cost Crisis Isn’t About Models. It’s About Context.

After two years of maxxing out on AI tools, many organizations are confronting an uncomfortable reality: AI costs don't scale linearly with adoption.