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 Groq LPU
Google TPU Ironwood (Google) and Groq LPU (Groq) both sit in Chips & Compute. Groq LPU is the cheaper entry point at Pricing not published on current page. Custom/usage rates apply.. Google TPU Ironwood shipped more tracked changes in the last 30 days (11 vs 3). Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | Google TPU Ironwood | Groq LPU Groq |
|---|---|---|
| Segment | Chips & Compute | Chips & Compute |
| Version | 7th-generation (Ironwood) | GroqCloud API |
| Entry cost | from $5.4/unit | Pricing not published on current page. Custom/usage rates apply. |
| 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 | GroqCloud Console Free Tier / Pay-As-You-Go free |
| Model stack | Gemini · Google TPU Ironwood · Ironwood · Ironwood (TPU v7) · Ironwood TPU · Ironwood TPU (7th Generation) · TPU v7 · TPU7x · TPU7x (Ironwood) · XLA compiler | canopylabs/orpheus-arabic-saudi · canopylabs/orpheus-v1-english · kimi-k2-instruct-0905 · Llama / Kimi / GPT-OSS · Llama 3.1 8B Instant · Llama 3.3 70B Versatile · llama-4-maverick-17b-128e-instruct · llama-4-scout-17b-16e-instruct · LPU v2 · meta-llama/llama-4-maverick-17b-128e-instruct · meta-llama/llama-4-scout-17b-16e-instruct · minimax-m2.5 · minimax/minimax-m2.5 · minimaxai/minimax-m2.5 · moonshotai/kimi-k2-instruct-0905 · openai/gpt-oss-120b · openai/gpt-oss-20b · openai/gpt-oss-safeguard-20b · Orpheus English · orpheus-arabic-saudi · orpheus-v1-english · Qwen 3.6 27B · qwen/qwen3-32b · qwen/qwen3-vl-32b-instruct · qwen3-32b · qwen3-vl-32b-instruct · Whisper V3 Large · whisper-large-v3 |
| Context window | — | 131k |
| Public API | ||
| Routes models | ||
| Changes / 30d | 11 | 3 |
| 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 | deterministic latency, OpenAI-compatible API, open-model catalogue, batch API, Fast LLM inference, OpenAI Compatibility, Prompt Caching, Speech to Text |
Groq LPU
SRAM-based language processing units sold as a token-priced inference cloud.
Full Groq LPU record →