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 ...

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 ...

China claims biggest AI model trained on local chips, as Meituan releases LongCat-2.0

LongCat-2.0 boasts 1.6 trillion parameters and a million-token context window, on par with DeepSeek’s latest flagship model.

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.
Tech Times

AI Inference and World Model Startups Pull $1.8B in Two Days as Foundation Models Commoditize

AI inference infrastructure investment pulled $1.8 billion in 48 hours as Baseten’s $1.5B round at a $13B valuation and ...
Crypto Briefing

OpenAI slashes inference costs by over 50% with Nvidia GPU efficiency: The Information

OpenAI cuts inference costs by over 50% with Nvidia GPU efficiency. OpenAI to lead AI market by June 2026 at 50% YES.

Faster AI, lower costs: DSpark eases inference bottlenecks and chip strain, says DeepSeek

Start-up unveils speculative decoding framework that speeds up inference by up to 85 per cent amid China's push to overcome ...

The Most Expensive Part Of AI Might Not Be The Model

Companies spent the last two years trying to get AI into production. Now, a different conversation is starting to happen ...