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 ...
Morning Overview on MSN

OpenAI and Broadcom detailed a custom inference chip built to cut AI’s soaring costs

OpenAI partnered with Broadcom in October 2025 to design a custom inference chip aimed at reducing the growing expense of ...
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, ...

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.” ...
Cryptopolitan on MSN

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 ...

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 ...
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 ...

DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.