AMD acquires Toronto-based Taalas, which integrates model weights directly into silicon to boost inference performance, for an undisclosed sum (Tobias Mann/The Register)
Why it matters — The acquisition gives AMD a path to produce inference hardware where model parameters are hard-wired, potentially reducing latency and power use compared with conventional accelerators. Early demonstrations cited in the source show such silicon-integrated circuits achieving up to 17,000 tokens per second. This move signals AMD’s effort to differentiate its data-center offerings in the competitive AI accelerator market.
↗