# AMD acquires Taalas for AI inference chips optimized for model-specific silicon

> AMD is acquiring Taalas, a Toronto startup founded in 2023 with an unusual bet, that instead of running AI models on general-purpose chips it etches a specific model's weights directly into silicon. The result, according to the company, is its HC1 chip hitting 16,960 tokens per second, which it claims is around 48 times faster than comparable Nvidia GPUs for the model it is built around. The tradeoff is flexibility. Hardwiring a model means the chip is spectacular at one thing and useless if you want to run something else, which is why this approach only makes sense now that a handful of models are stable and popular enough to be worth casting in silicon. For AMD the logic is strategic. Inference, the running of models rather than the training of them, is becoming the largest and fastest-growing slice of AI compute, and owning a radically efficient inference path is a credible way to chip at Nvidia's dominance. The deal is expected to close in the fourth quarter pending approval.

_Section: [AI Funding Tracker](https://www.wortins.com/funding) · Source: CNBC · Published Saturday, August 8, 2026_

## Wortins' read

AMD is acquiring Taalas, a Toronto startup founded in 2023 with an unusual bet, that instead of running AI models on general-purpose chips it etches a specific model's weights directly into silicon. The result, according to the company, is its HC1 chip hitting 16,960 tokens per second, which it claims is around 48 times faster than comparable Nvidia GPUs for the model it is built around. The tradeoff is flexibility. Hardwiring a model means the chip is spectacular at one thing and useless if you want to run something else, which is why this approach only makes sense now that a handful of models are stable and popular enough to be worth casting in silicon. For AMD the logic is strategic. Inference, the running of models rather than the training of them, is becoming the largest and fastest-growing slice of AI compute, and owning a radically efficient inference path is a credible way to chip at Nvidia's dominance. The deal is expected to close in the fourth quarter pending approval.

## Source

[Read the full story at CNBC](https://www.cnbc.com/2026/08/06/amd-buys-taalas-startup-that-hardwires-ai-models-into-its-silicon.html)

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