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.

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 ...

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 ...

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.” ...
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DeepSeek lives up to market disruptor reputation with in-house chips talks

Chinese AI startup DeepSeek is designing an in-house chip to run its models, according to sources close to the matter. The ...

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 ...
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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, ...

OpenAI reportedly reduced inference costs by more than half

According to a media report, OpenAI engineers have found optimizations that reduce the cost of operating existing AI models ...