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 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.

AttributeCerebras WSE-3

Cerebras

Google TPU Ironwood

Google

SegmentChips & ComputeChips & Compute
VersionCS-47th-generation (Ironwood)
Entry costFree trial credits available; developer tier has free promotional credits.from $5.4/unit
Pricing tiersDeveloper Tier / Free Trial freeOn 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
Model stackCodex-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-3Gemini · Google TPU Ironwood · Ironwood · Ironwood (TPU v7) · Ironwood TPU · Ironwood TPU (7th Generation) · TPU v7 · TPU7x · TPU7x (Ironwood) · XLA compiler
Context window——
Public API
Routes models
Changes / 30d911
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
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