Taalas Inc., a Toronto, Canada-based innovator in AI and silicon, raised $50M over two rounds of funding.
The rounds were led by Pierre Lamond and Quiet Capital.
The company intends to use the funds to expand operations and development efforts.
Founded by Ljubisa Bajic, Drago Ignjatovic, and Lejla Bajic, Taalas is developing an automated flow for implementing all types of deep learning models (Transformers, SSMs, Diffusers, MoEs, etc.) in silicon. Proprietary innovations enable one of its chips to hold an entire large AI model without requiring external memory. The company is taping out its first large language model chip in the third quarter of 2024 and planning to make it available to early customers in the first quarter of 2025.
Commenting on the news, Ljubisa Bajic said: “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.”
FinSMEs
05/03/2024