Google TPU Ironwood
v7 TPU pods scaling to 9,216 chips, available through Google Cloud and used for Gemini.
Full Google TPU Ironwood record →Head to head
Google TPU Ironwood vs Tenstorrent Blackhole
Google TPU Ironwood (Google) and Tenstorrent Blackhole (Tenstorrent) both sit in Chips & Compute. Google TPU Ironwood is the cheaper entry point at from $5.4/unit. Google TPU Ironwood shipped more tracked changes in the last 30 days (16 vs 14). Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | Google TPU Ironwood | Tenstorrent Blackhole Tenstorrent |
|---|---|---|
| Segment | Chips & Compute | Chips & Compute |
| Version | Ironwood (7th generation) | v0.79.0-dev20260910 |
| Entry cost | from $5.4/unit | from $999/unit |
| Pricing tiers | On Demand (us-central1) $12 · 1-year Commitment (us-central1) $8.4 · 3-year Commitment (us-central1) $5.4 · DWS Flex-start (us-central1) $6 · DWS Calendar Mode (us-central1) $8.4 · On Demand (europe-west2) $13.2 · 1-year Commitment (europe-west2) $9.24 · 3-year Commitment (europe-west2) $5.94 | Blackhole PCIe Cards $999 · Workstations (TT-QuietBox) $9999 · Servers (Tenstorrent Galaxy) $70000 |
| Model stack | Gemini · Ironwood · Ironwood (TPU v7) · Ironwood TPU · Ironwood TPU (7th Generation) · TPU v7 · TPU7x · TPU7x (Ironwood) · XLA compiler | Gemma-2 · Gemma4 · GLM-5.2 · Kimi-K3 · Llama-3.3-70B · Qwen3-32B · Tensix cores · tt-metal / tt-nn |
| Context window | — | — |
| Public API | ||
| Routes models | ||
| Changes / 30d | 16 | 14 |
| Origin | Global | Global |
| Capabilities | 9,216-chip pods, inference optimised, liquid cooled, JAX + PyTorch/XLA, Large-scale training, Reasoning and inference, 9,216 liquid-cooled chips per pod, 42.5 ExaFlops performance | RISC-V cores, open tt-metal stack, Ethernet-scaled cards, IP licensing, Passive, active and liquid cooling options, High-performance AI processing, Liquid-cooled workstations (TT-QuietBox), Scale-out servers (Tenstorrent Galaxy) |
Tenstorrent Blackhole
Open-source software stack and RISC-V based accelerators sold as cards and IP.
Full Tenstorrent Blackhole record →