Taalas hardwired LLM chip
Hacker ApprovedRanked 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%
Recommended in 8 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: recommended
- March 2026: recommended
- April 2026: recommended
- May 2026: recommended
- June 2026: recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: not recommended
- 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” - Comment from 8 Jun 2026 in “MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second”
- Comment from 9 Sep 2026 in “Kimi K3 (2.8T) at 1 token/s on a MacBook Pro, streamed from four SSDs”
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” - Comment from 19 Aug 2026 in “Cerebras CS4”
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)” - Comment from 23 Mar 2026 in “iPhone 17 Pro Demonstrated Running a 400B LLM”
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” - Comment from 11 Aug 2026 in “Show HN: Needle2: 14MB agentic LLM for phones, wearables, smart home and robots”
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.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Google TPU | 73 | 15 | 83% | 11 | — | Approved |
| Taalas HC1 | 59 | 15 | 80% | 8 | — | Approved |
| Taalas hardwired LLM chipThis page | 45 | 8 | 85% | 8 | — | Approved |
| Cerebras wafer-scale chip | 29 | 8 | 78% | 10 | — | Approved |
| Cerebras CS-4 | 12 | 9 | 57% | 5 | — | — |
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.”
“I can think of many problems I could use it for, especially at those speeds.”
“taalas is super fast but that model is so dumb”
“It seems like this would be useful right now for some things (eg moderation).”
“something that a Taalas-like architecture can clearly resolve”
“The 500x efficiency gain makes their approach a no brainer.”
“let's etch nginx into silicon and get 10,000,000 rps at a cost of 0.1 US/day”
“I am very eager to see 15,000 tokens/second eventually, like Talaas”
“see taalas for a much bigger model doing that”
“Talaas has gone furthest on the spectrum here, so seems to have the most potential to evolve the use cases.”
“taalas is great for llama 3.x 8B models, really bad for one board serving Kimi K3”
“Taalas' idea makes sense in a perspective of scale”
“it had a big legup in physical cache availale compared to most chips”
“Taalas actually already support LoRA, basically doing exactly what you say.”
“Taalas has a pretty impressive proof of concept”
“Something like Talaas with GLM 5.2 would be pretty cool”
“When other companies, like Taalas are putting research dollars in to making AI scalable, affordable and efficient.”
“the Taalas product is not a fair comparison because it runs an old outdated model”
“Those taalus chips apparently run at 1/10 the power as the current SOTA GPU setups.”
“Their demo is almost unbelievably fast, but as I understand it, the limitation of Taalas's strategy is KV-cache.”
“Low latency is nice. But it would be more interesting if they could demonstrate the efficiency of energy consumption.”
“In a coding agent it is a meaningful improvement.”
“the ability for it to be updated to a brand-new model as new models come out is limited”
“Trying Taalas is almost scary, there is something unsettling with that speed!”
“at 17k tokens per second it's likely enough to reliably call tools”
“Imagine one of those with a heavy hitting model installed in a PCIe slot at 10k+ tokens/sec”
“implemented Llama3 8b on hardware to achieve 17000 tokens/s at a small fraction of the usual power consumption”
“they've been quiet since their last (and only) blog”
“It's cool that they were able to accelerate a model with silicon”
“Taalas is a nice concept, but I don’t want to use the same model forever!”
“the worry with that suggestion is that it would blow out energy per net unit of work”
“I'm betting on a company like Taalas making a model that is perhaps less capable but 100x as fast”
“I'd hate to freeze a models weights into silicon without having an incredibly specific and broad usecase.”
“proving out that baked silicon models can be truly 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.”
“Note that their current architecture only allows some LORA-Adapter based fine-tuning”
“the ASIC solution has more freedom to optimize routing for 4 bit multiplication”
“So this is very cool. Though I'm not sure how the economics work out?”
“It doesn't add up with their claims of better power efficiency.”
“Taalas - conceptually, anyway - is on to something.”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.