Head to head

Cerebras WSE-3 vs Google TPU Ironwood

Cerebras WSE-3 (Cerebras) and Google TPU Ironwood (Google) both sit in Chips & Compute. Cerebras WSE-3 is the cheaper entry point at Free tier / developer tier pricing available (contact/partner integrations). Google TPU Ironwood shipped more tracked changes in the last 30 days (12 vs 9). Every value below comes from the latest crawl of the vendors' own pages.

AttributeCerebras WSE-3

Cerebras

Google TPU Ironwood

Google

SegmentChips & ComputeChips & Compute
VersionWSE-3Ironwood (7th generation)
Entry costFree tier / developer tier pricing available (contact/partner integrations)from $5.4/unit
Pricing tiersDeveloper Tier freeOn-Demand (us-central1 Iowa) $12 · DWS Flex-start price (us-central1 Iowa) $6 · DWS Calendar Mode price (us-central1 Iowa) $8.4 · 1-year Commitment (us-central1 Iowa) $8.4 · 3-year Commitment (us-central1 Iowa) $5.4 · On-Demand (europe-west2 London) $13.2 · DWS Flex-start price (europe-west2 London) $6 · DWS Calendar Mode price (europe-west2 London) $8.4
Model stackCodex-Spark · Gemma · Gemma-4-31B · GLM-4.7 · GPT 5.6 Sol · GPT-5.6-Sol-Ultrafast · Kimi K2.6 · Llama · Llama / Qwen / GPT-OSS · Qwen · WSE-3Gemini · Ironwood · Ironwood (TPU v7) · Ironwood TPU · Ironwood TPU (7th Generation) · TPU v7 · TPU7x · TPU7x (Ironwood) · XLA compiler
Context window
Public API
Routes models
Changes / 30d912
OriginGlobalGlobal
Capabilitieswafer-scale engine, record token/s on open models, CS-3 systems, training clusters, Wafer-scale AI inference, Cerebras PyTorch, ModelZoo, Low-level SDK9,216-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
Compare up to four products →