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Taalas hardwired LLM chip

Hacker Approved

Ranked 3 of 8 AI accelerators by recommenders

People recommend it for very fast LLM inference from a model etched into silicon. Critics note the chip is locked to one model and updates are limited.

People recommend it for very fast LLM inference from a model etched into silicon. Critics note the chip is locked to one model and updates are limited.

53 people gave an opinion

recommend it
45
criticize it
8
approval share
85%
Each figure is one person. RecommendsCriticizes

Recommended in 8 of 13 months

  1. November 2025: not recommended
  2. December 2025: not recommended
  3. January 2026: not recommended
  4. February 2026: recommended
  5. March 2026: recommended
  6. April 2026: recommended
  7. May 2026: recommended
  8. June 2026: recommended
  9. July 2026: recommended
  10. August 2026: recommended
  11. September 2026: recommended
  12. October 2026: not recommended
  13. November 2026: not recommended (month in progress)

Why it carries the badge

  • 45 people recommend itNeeds 10 or more, met.
  • 5.6 recommenders for every criticNeeds 2 to 1 or better, met.
  • Recommended in 8 of 13 monthsNeeds 4 or more, met.

The same three rules apply to every product, and the badge can’t be bought. How the badge works

What people say about it

The reasons people give, with the number of comments that give each one. Open a reason to read what they said.

Why people recommend it

Each mark is one comment

  • Extremely fast token generation speed

    “Their demo is almost unbelievably fast, but as I understand it, the limitation of Taalas's strategy is KV-cache.”

    Comment from 25 Jun 2026 in “OpenAI unveils its first custom chip, built by Broadcom”

    “implemented Llama3 8b on hardware to achieve 17000 tokens/s at a small fraction of the usual power consumption”

    Comment from 3 Jun 2026 in “With Nvidia Groq 3, the Era of AI Inference Is (Probably) Here (⌛ March 2026)”

    “Trying Taalas is almost scary, there is something unsettling with that speed!”

    Comment from 13 Jun 2026 in “AI Coding at Home Without Going Broke”
  • Lower power use than GPUs

    “When other companies, like Taalas are putting research dollars in to making AI scalable, affordable and efficient.”

    Comment from 27 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”

    “implemented Llama3 8b on hardware to achieve 17000 tokens/s at a small fraction of the usual power consumption”

    Comment from 3 Jun 2026 in “With Nvidia Groq 3, the Era of AI Inference Is (Probably) Here (⌛ March 2026)”

    “Those taalus chips apparently run at 1/10 the power as the current SOTA GPU setups.”

    Comment from 25 Jun 2026 in “OpenAI unveils its first custom chip, built by Broadcom”
  • Strong proof of concept

    “proving out that baked silicon models can be truly instant”

    Comment from 3 Mar 2026 in “GPT‑5.3 Instant”

    “Taalas - conceptually, anyway - is on to something.”

    Comment from 20 Feb 2026 in “The path to ubiquitous AI (17k tokens/sec)”

    “Taalas has a pretty impressive proof of concept”

    Comment from 11 Jul 2026 in “Alex Karp Is Saying What Every Angry CEO Is Thinking About AI”
  • Useful for agents and moderation

    “It seems like this would be useful right now for some things (eg moderation).”

    Comment from 26 Aug 2026 in “OpenAI Jalapeño: Better than Nvidia Blackwell”

    “at 17k tokens per second it's likely enough to reliably call tools”

    Comment from 8 Jun 2026 in “MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second”

    “In a coding agent it is a meaningful improvement.”

    Comment from 24 Jun 2026 in “OpenAI unveils its first custom chip, built by Broadcom”

What people warn about

Each mark is one comment

  • Locked to one model, hard to update

    “the ability for it to be updated to a brand-new model as new models come out is limited”

    Comment from 24 Jun 2026 in “OpenAI unveils its first custom chip, built by Broadcom”

    “Taalas is a nice concept, but I don’t want to use the same model forever!”

    Comment from 2 May 2026 in “Mini PC for local LLMs in 2026”

    “Taalas process is more expensive And not really worth it because once you burn a model on the silicon, the silicon can only serve that model.”

    Comment from 25 Feb 2026 in “The path to ubiquitous AI (17k tokens/sec)”
  • Power efficiency claims unproven

    “Low latency is nice. But it would be more interesting if they could demonstrate the efficiency of energy consumption.”

    Comment from 25 Jun 2026 in “OpenAI unveils its first custom chip, built by Broadcom”

    “the worry with that suggestion is that it would blow out energy per net unit of work”

    Comment from 18 Apr 2026 in “Opus 4.7 to 4.6 Inflation is ~45%”

    “It doesn't add up with their claims of better power efficiency.”

    Comment from 20 Feb 2026 in “The path to ubiquitous AI (17k tokens/sec)”
  • Weak on large or current models

    “taalas is great for llama 3.x 8B models, really bad for one board serving Kimi K3”

    Comment from 7 Aug 2026 in “AMD acquires Taalas to boost inference performance by etching models in silicon”

    “the Taalas product is not a fair comparison because it runs an old outdated model”

    Comment from 26 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”

    “taalas is super fast but that model is so dumb”

    Comment from 3 Sep 2026 in “OpenAI begins rolling out GPT-6 Astra”
  • Costly, unclear economics

    “So this is very cool. Though I'm not sure how the economics work out?”

    Comment from 20 Feb 2026 in “The path to ubiquitous AI (17k tokens/sec)”

    “Taalas process is more expensive And not really worth it because once you burn a model on the silicon, the silicon can only serve that model.”

    Comment from 25 Feb 2026 in “The path to ubiquitous AI (17k tokens/sec)”

Other AI accelerators people recommend

The four most recommended other AI accelerators, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.

Taalas hardwired LLM chip compared with 4 alternatives
ProductRecommendCriticizeApprovalMonthsOwnedBadge
Google TPU731583%11—Approved
Taalas HC1591580%8—Approved
Taalas hardwired LLM chipThis page45885%8—Approved
Cerebras wafer-scale chip29878%10—Approved
Cerebras CS-412957%5——
See all 8 AI accelerators, ranked

What people said

40 of the 58 comments that mention it, newest first. Each links to the original comment.

“Taalas is much faster than GPUs, orders of magnitude so.”

RecommendsComment from 9 Sep 2026 in “Kimi K3 (2.8T) at 1 token/s on a MacBook Pro, streamed from four SSDs”

“I can think of many problems I could use it for, especially at those speeds.”

RecommendsComment from 4 Sep 2026 in “Qwen 3.8 27B available on Cerebras at 1500 tokens/s”

“taalas is super fast but that model is so dumb”

MixedComment from 3 Sep 2026 in “OpenAI begins rolling out GPT-6 Astra”

“It seems like this would be useful right now for some things (eg moderation).”

RecommendsComment from 26 Aug 2026 in “OpenAI Jalapeño: Better than Nvidia Blackwell”

“something that a Taalas-like architecture can clearly resolve”

RecommendsComment from 19 Aug 2026 in “Cerebras CS4”

“The 500x efficiency gain makes their approach a no brainer.”

RecommendsComment from 19 Aug 2026 in “Cerebras CS4”

“let's etch nginx into silicon and get 10,000,000 rps at a cost of 0.1 US/day”

RecommendsComment from 19 Aug 2026 in “Cerebras CS4”

“I am very eager to see 15,000 tokens/second eventually, like Talaas”

RecommendsComment from 14 Aug 2026 in “Accelerating GPT-5.6 Sol Ultrafast”

“see taalas for a much bigger model doing that”

MixedComment from 11 Aug 2026 in “Show HN: Needle2: 14MB agentic LLM for phones, wearables, smart home and robots”

“Talaas has gone furthest on the spectrum here, so seems to have the most potential to evolve the use cases.”

RecommendsComment from 7 Aug 2026 in “AMD acquires Taalas to boost inference performance by etching models in silicon”

“taalas is great for llama 3.x 8B models, really bad for one board serving Kimi K3”

MixedComment from 7 Aug 2026 in “AMD acquires Taalas to boost inference performance by etching models in silicon”

“Taalas' idea makes sense in a perspective of scale”

RecommendsComment from 6 Aug 2026 in “AMD acquires Taalas to boost inference performance by etching models in silicon”

“it had a big legup in physical cache availale compared to most chips”

RecommendsComment from 6 Aug 2026 in “AMD acquires Taalas to boost inference performance by etching models in silicon”

“Taalas actually already support LoRA, basically doing exactly what you say.”

RecommendsComment from 31 Jul 2026 in “Advancing the price-performance frontier with GPT‑5.6”

“Taalas has a pretty impressive proof of concept”

RecommendsComment from 11 Jul 2026 in “Alex Karp Is Saying What Every Angry CEO Is Thinking About AI”

“Something like Talaas with GLM 5.2 would be pretty cool”

RecommendsComment from 27 Jun 2026 in “Ask HN: MacBook vs. Dedicated GPU for LLM”

“When other companies, like Taalas are putting research dollars in to making AI scalable, affordable and efficient.”

RecommendsComment from 27 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”

“the Taalas product is not a fair comparison because it runs an old outdated model”

CriticizesComment from 26 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”

“Those taalus chips apparently run at 1/10 the power as the current SOTA GPU setups.”

RecommendsComment from 25 Jun 2026 in “OpenAI unveils its first custom chip, built by Broadcom”

“Their demo is almost unbelievably fast, but as I understand it, the limitation of Taalas's strategy is KV-cache.”

MixedComment from 25 Jun 2026 in “OpenAI unveils its first custom chip, built by Broadcom”

“Low latency is nice. But it would be more interesting if they could demonstrate the efficiency of energy consumption.”

MixedComment from 25 Jun 2026 in “OpenAI unveils its first custom chip, built by Broadcom”

“In a coding agent it is a meaningful improvement.”

RecommendsComment from 24 Jun 2026 in “OpenAI unveils its first custom chip, built by Broadcom”

“the ability for it to be updated to a brand-new model as new models come out is limited”

MixedComment from 24 Jun 2026 in “OpenAI unveils its first custom chip, built by Broadcom”

“Trying Taalas is almost scary, there is something unsettling with that speed!”

RecommendsComment from 13 Jun 2026 in “AI Coding at Home Without Going Broke”

“at 17k tokens per second it's likely enough to reliably call tools”

RecommendsComment from 8 Jun 2026 in “MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second”

“Imagine one of those with a heavy hitting model installed in a PCIe slot at 10k+ tokens/sec”

RecommendsComment from 3 Jun 2026 in “Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params”

“implemented Llama3 8b on hardware to achieve 17000 tokens/s at a small fraction of the usual power consumption”

RecommendsComment from 3 Jun 2026 in “With Nvidia Groq 3, the Era of AI Inference Is (Probably) Here (⌛ March 2026)”

“they've been quiet since their last (and only) blog”

MixedComment from 1 Jun 2026 in “1-Bit Bonsai Image 4B Image Generation for Local Devices”

“It's cool that they were able to accelerate a model with silicon”

MixedComment from 6 May 2026 in “Accelerating Gemma 4: faster inference with multi-token prediction drafters”

“Taalas is a nice concept, but I don’t want to use the same model forever!”

MixedComment from 2 May 2026 in “Mini PC for local LLMs in 2026”

“the worry with that suggestion is that it would blow out energy per net unit of work”

MixedComment from 18 Apr 2026 in “Opus 4.7 to 4.6 Inflation is ~45%”

“I'm betting on a company like Taalas making a model that is perhaps less capable but 100x as fast”

RecommendsComment from 18 Apr 2026 in “Opus 4.7 to 4.6 Inflation is ~45%”

“I'd hate to freeze a models weights into silicon without having an incredibly specific and broad usecase.”

MixedComment from 23 Mar 2026 in “iPhone 17 Pro Demonstrated Running a 400B LLM”

“proving out that baked silicon models can be truly instant”

RecommendsComment from 3 Mar 2026 in “GPT‑5.3 Instant”

“Taalas process is more expensive And not really worth it because once you burn a model on the silicon, the silicon can only serve that model.”

CriticizesComment from 25 Feb 2026 in “The path to ubiquitous AI (17k tokens/sec)”

“Note that their current architecture only allows some LORA-Adapter based fine-tuning”

MixedComment from 22 Feb 2026 in “How Taalas "prints" LLM onto a chip?”

“the ASIC solution has more freedom to optimize routing for 4 bit multiplication”

RecommendsComment from 21 Feb 2026 in “The path to ubiquitous AI (17k tokens/sec)”

“So this is very cool. Though I'm not sure how the economics work out?”

MixedComment from 20 Feb 2026 in “The path to ubiquitous AI (17k tokens/sec)”

“It doesn't add up with their claims of better power efficiency.”

CriticizesComment from 20 Feb 2026 in “The path to ubiquitous AI (17k tokens/sec)”

“Taalas - conceptually, anyway - is on to something.”

RecommendsComment from 20 Feb 2026 in “The path to ubiquitous AI (17k tokens/sec)”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.