Taalas bets on hard‑wired models to beat GPUs at inference
Toronto start-up Taalas fixes trained LLMs directly in silicon.
Toronto start-up Taalas fixes trained LLMs directly in silicon.
An open platform to unify the neuromorphic ecosystem.
Using vector engine rather than NPU.
Solving the agentic AI efficiency problem.
Mixed-signal microcontrollers with TinyEngine NPU.
Record-breaking European chip funding round brings total to $450M.
AI processing at the speed of light.
Furiosa sends 4,000 AIP AIBs off to work.
The two exit paths for investors and founders.
China may not let Nvidia in.
As JPR predicted, the biggest private companies will get acquired.
The largest multi-chip floor to date.