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 Cerebras WSE-3
Google TPU Ironwood (Google) and Cerebras WSE-3 (Cerebras) both sit in Chips & Compute. Cerebras WSE-3 is the cheaper entry point at Free trial credits available; developer tier has free promotional credits.. Google TPU Ironwood shipped more tracked changes in the last 30 days (11 vs 9). Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | Google TPU Ironwood | Cerebras WSE-3 Cerebras |
|---|---|---|
| Segment | Chips & Compute | Chips & Compute |
| Version | 7th-generation (Ironwood) | CS-4 |
| Entry cost | from $5.4/unit | Free trial credits available; developer tier has free promotional credits. |
| Pricing tiers | On Demand (us-central1) $12 · DWS Flex-start (us-central1) $6 · DWS Calendar Mode (us-central1) $8.4 · 1-year Commitment (us-central1) $8.4 · 3-year Commitment (us-central1) $5.4 · On Demand (europe-west2) $13.2 · DWS Flex-start (europe-west2) $6 · DWS Calendar Mode (europe-west2) $8.4 | Developer Tier / Free Trial free |
| Model stack | Gemini · Google TPU Ironwood · Ironwood · Ironwood (TPU v7) · Ironwood TPU · Ironwood TPU (7th Generation) · TPU v7 · TPU7x · TPU7x (Ironwood) · XLA compiler | Codex-Spark · Gemma · Gemma-4-31B · GLM-4.7 · GPT 5.6 Sol · GPT-5.6-Sol-Ultrafast · Kimi K2.6 · Kimi K3.1 · Llama · Llama / Qwen / GPT-OSS · Qwen · QWEN 3.8 27B · WSE-3 |
| Context window | — | — |
| Public API | ||
| Routes models | ||
| Changes / 30d | 11 | 9 |
| 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 | wafer-scale engine, record token/s on open models, CS-3 systems, training clusters, Wafer-scale AI inference, Cerebras PyTorch, ModelZoo, Low-level SDK |
Cerebras WSE-3
Single-wafer accelerators delivering the fastest published open-model token rates.
Full Cerebras WSE-3 record →