Tenstorrent hits $6.2B valuation to scale open-weight AI chips
- ID
- 37058
- Status
- summarized
- Published
- 20 Oct 2026, 2:37 AM
- Fetched
- 20 Oct 2026, 2:43 AM
- Provider
- TechCrunch
- Category
- technology
- Original URL
- https://techcrunch.com/2026/10/19/tenstorrent-hits-6-2b-valuation-to-scale-open-weight-ai-chips/
- Source URL
- https://techcrunch.com/feed/
Summary
- Score
- 3.5
- Created
- 20 Oct 2026, 2:45 AM
- Tags
- Audience
- developersai_ml_learnersstartup_founders
What happened
Tenstorrent raised $1.5B at a $6.2B valuation, more than double the $2.6B it was valued at in late 2024, in a round led by Trace Capital and Innovation X with Cadence Ventures, Eclipse, Fidelity, SanDisk, and T. Rowe Price participating. CEO Jim Keller told Bloomberg the company stayed independent rather than accepting reported Intel/Qualcomm interest at up to $5B, after demonstrating its Galaxy servers could run DeepSeek models. The capital goes to chips aimed at serving open-weight models and video generation, with Etched cited as a rival reportedly fielding offers at $40B+ valuations.
Why it matters
Nothing here is actionable yet: no pricing, no availability, no benchmarks beyond the claim that Galaxy servers ran DeepSeek models, and no mention of cloud regions, Malaysian datacenters, or SEA partners. If you are sizing inference costs for an open-weight deployment, this announcement gives you no number to plan against — the signal to wait for is per-token or per-server pricing and whether any regional cloud offers it.
Discussion angle
Beyond the valuation: what would actually make a non-Nvidia inference stack adoptable for a small team — model coverage, serving tooling, or price per token — and which of those would you need to see before switching off CUDA-based defaults?