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# The path to ubiquitous AI

**[Hacker News](https://daily.dev/sources/hn)** · 7 min read · 2 upvotes · 0 comments

## Summary

Taalas, a hardware startup, argues that AI's path to ubiquity is blocked by high latency and cost, drawing a parallel to how ENIAC gave way to practical computing. Their solution: custom silicon that hard-wires specific AI models directly into chips, merging storage and compute on a single die to eliminate the memory-compute bottleneck. Their first product is a silicon-hardwired Llama 3.1 8B achieving 17,000 tokens/sec per user — roughly 10x faster than state-of-the-art GPU solutions — at 20x lower build cost and 10x lower power consumption. Built by a 24-person team spending only $30M, the platform is now available as a chatbot demo and inference API. A mid-sized reasoning LLM on HC1 is expected in spring, with a frontier model on their second-gen HC2 platform planned for winter.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://taalas.com/the-path-to-ubiquitous-ai/>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-inference](https://daily.dev/tags/ai-inference)

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