Taalas Inc., a silicon and artificial intelligence startup located in Toronto, Canada, raised $50 million in two fundraising rounds.
Quiet Capital and Pierre Lamond topped the rounds.
The money will be used by the business to increase operations and development initiatives.
Lejla, Drago, and Ljubisa Bajic founded Taalas, which is creating an automated flow for putting various deep learning models (Transformers, SSMs, Diffusers, MoEs, etc.) into silicon.
One of its chips can store a full huge AI model without the need for external memory thanks to exclusive breakthroughs.
“Artificial intelligence is like electrical power – an essential good that will need to be made available to all. Commoditizing AI requires a 1000x improvement in computational power and efficiency, a goal that is unattainable via the current incremental approaches. The path forward is to realize that we should not be simulating intelligence on general purpose computers, but casting intelligence directly into silicon. Implementing deep learning models in silicon is the straightest path to sustainable AI.”
Ljubisa Bajic
The first large language model chip will be taped out by the corporation in the third quarter of 2024, with plans to release it to early clients in the first quarter of 2025.
