Browsing: inference
Startup Inference Infinity raises $15 million from researchers Touring Capital, OpenAI and Anthropic
All included infrastructure company Infinity announced a $15 million raise at a $100 million valuation on Monday from investors including Touring Capital, Principal VC and researchers…
Hot French startup ZML releases free product to speed up inference on multiple AI chips
Nvidia’s days of unparalleled market dominance aren’t over, but challengers and options are emerging from all directions. ZMLa hot French AI startup was approved by Turing…
Stanford adjunct professor and retired founder Zain Asgar just raised an $80 million Series A round for a startup that solves the AI inference bottleneck in…
Co-founders behind Reface and Prisma join hands to improve on-device model inference with Mirai
Much of the conversation around artificial intelligence today focuses on building cloud capacity and massive data centers to run models. Companies like Apple and Qualcomm are…
AI inference startup Modal Labs is in talks to raise valuation to $2.5 billion, sources say
Modal Labsa startup that specializes in artificial intelligence inference infrastructure is talking to VCs about a new round at a valuation of about $2.5 billion, according…
From invisibility cloaks to AI chips: Neurophos raises $110 million to build tiny optical processors for inference
Twenty years ago, a Duke University professor, David R. Smithartificial composites called “Metamaterials” to do a real life invisibility cloak. While this cloak didn’t really work…
Quadric is making the transition from cloud AI to on-device inference — and it’s paying off
Companies and governments are looking for tools to run AI locally in an effort to reduce cloud infrastructure costs and build mainstream capability. Squarea chip-IP startup…
Sources: SGLang project emerges as RadixArk at $400M valuation as inference market explodes
Some of the team responsible for maintaining SGLang, a popular open-source tool used by companies like xAI and Cursor to speed up the training of artificial…