Toronto-based chip startup Taalas, which hardwires AI models into custom silicon to achieve faster inference, raised $169M, bringing its total funding to $219M
Toronto-based chip startup Taalas said on Thursday it had raised $169 million and has developed a chip capable …
Reuters Max A. Cherney
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Discussion
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@davidbennett__
David Bennett
on x
This is an exciting effort. @cerebras has proven that speed matters. Ljubisa and the team have taken the same approach: develop new engineering to make a model go hyper fast. From a manufacturing perspective, @taalas_inc seems like it's tradeoffs are more digestible & scalable
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@quietcapital
@quietcapital
on x
Today, @taalas_inc is unveiling breakthrough inference chips to make AI cheap, fast, and ubiquitous. Read more from our partner, @kvamme. https://quiet.com/...
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@kvamme
Alex
on x
@sallywf @taalas_inc And in exchange for those 30 (incremental) tape-outs (that takes only 8 weeks), you're running your frontier model 60x faster and 2x+ cheaper. And that's just the 1st generation! The ROI becomes positive very quickly when running inference at scale.
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@kvamme
Alex
on x
Breaking the latency barrier
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@kvamme
Alex
on x
Hard to describe until you try it. I would tag the Taalas team but they are so locked in they don't have X accounts. [video]
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@kvamme
Alex
on x
We've been waiting 2 years to share this with the world. It's a monumental achievement.
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@tbpn
@tbpn
on x
Happy Thursday. On today's show: - @zoink (Figma) - @esaagar (Breaking Points) - @0xSigil (Web 4.0) - @PeterMoralesX (Code Metal) - Erik Palitsch (Freeform) - Ljubisa Bajic (Taalas) See you on the stream.
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@michaelxbloch
Michael Bloch
on x
The biggest bottleneck in AI just got obliterated by @taalas_inc. 17,000 tokens/sec. 50x faster than Nvidia's best GPU, at a fraction of the cost and power. Cheap, instant, intelligent AI for everyone is no longer theoretical. This is Taalas' generation one. Their opening act.
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@sallywf
Sally Ward-Foxton
on x
AI chip startup Taalas @taalas_inc is showing off a chip that can do 16,000 tps/user on Llama3.1-8B, many multiples of its nearest competitor. The catch? The chip ONLY runs Llama3.1-8B, and a model like DeepSeekR1-671B would need 30 separate tapeouts: https://www.eetimes.com/...
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@taalas_inc
@taalas_inc
on x
24 dedicated people. $30M spent on development. Extreme specialization, speed, and power efficiency. Today we launch Taalas' first product. Check it out: Details: https://taalas.com/... Demo chatbot: https://chatjimmy.ai/ API: https://taalas.com/...