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AI & Automation2 min read

Tenstorrent raises $1.5B at $6.2B for open-weight inference

Tenstorrent raised $1.5B at a $6.2B valuation to build RISC-V inference servers for open-weight models. What it means for your AI hosting costs.

Tenstorrent raised $1.5 billion at a $6.2 billion valuation, more than double its $2.6 billion mark from late 2024. The Toronto chip company, run by Jim Keller, builds RISC-V inference hardware and says the money goes to servers for open-weight models and video generation. That is a bet on the same thing many small businesses are betting on: that the model you run doesn't have to come from the company that sells you the chip.

What actually happened

Per TechCrunch and SiliconANGLE:

  • Round: $1.5B, led by Trace Capital and Innovation X. Fidelity and T. Rowe Price also took part.
  • Valuation: $6.2B, up from $2.6B in late 2024.
  • Independence: In May, Bloomberg reported takeover interest from Intel and Qualcomm. Tenstorrent stayed independent.
  • Products: Galaxy servers (its best seller, per SiliconANGLE), the TT-QuietBox desktop workstation, and Blackhole PCIe cards, all on RISC-V.
  • Software: An open-source stack — TT-Forge compiles PyTorch models to its chips, TT-Metalium handles custom kernels.
  • Customers: SiliconANGLE names Virtu Financial (on-premises trading agents) and Equinix, which offers Galaxy servers through its data centers.
  • Use of funds: More Galaxy production, RISC-V research and hiring.

Neither report gives hardware prices.

Why open-weight inference chips matter for your business

Your AI bill has three layers: the model, the hosting, and the silicon under the hosting. Open-weight models already broke the first layer open — you can run DeepSeek, Qwen or Nemotron without paying a frontier lab. The silicon layer is still mostly one vendor. Every well-funded challenger there pushes the price of an open-weight token down, even if you never touch their hardware.

What we would do with this:

  1. Keep your workloads model-portable. The cheapest hosting next year may run hardware you haven't heard of. That only helps you if swapping the endpoint is a config change.
  2. Don't buy boxes on a funding headline. No prices, few named customers. Wait for benchmarks on your workload from a host you can rent by the hour.
  3. Watch the colocation route. Equinix offering Galaxy servers means you may get to try this hardware without buying it.

Key takeaways

  • Tenstorrent raised $1.5B at a $6.2B valuation, led by Trace Capital and Innovation X
  • Money goes to RISC-V Galaxy servers for open-weight models and video generation
  • Open-source software stack compiles PyTorch to its chips; no hardware prices disclosed
  • More inference-chip competition pushes open-weight token prices down for everyone
  • Stay model- and host-portable so you can take the cheaper option when it shows up

Running open-weight models, or want to? We build AI systems where the model and the host are swappable, so a cheaper option is a config change, not a rebuild. See our services, or run the numbers on your AI spend.

Sources: TechCrunch, SiliconANGLE.

  • #tenstorrent
  • #ai-chips
  • #open-weight-models
  • #inference
  • #risc-v
TR

Tommy Rush — Founder, Rush Commerce

Operator turned builder. 15+ years running operations — now shipping the systems businesses run on. More

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