Head to head

Google TPU Ironwood vs SambaNova SN40L

Google TPU Ironwood (Google) and SambaNova SN40L (SambaNova) both sit in Chips & Compute. SambaNova SN40L is the cheaper entry point at Free tier available, followed by Pay-as-you-go developer tier.. Google TPU Ironwood shipped more tracked changes in the last 30 days (16 vs 6). Every value below comes from the latest crawl of the vendors' own pages.

AttributeGoogle TPU Ironwood

Google

SambaNova SN40L

SambaNova

SegmentChips & ComputeChips & Compute
VersionIronwood (7th generation)SN40L
Entry costfrom $5.4/unitFree tier available, followed by Pay-as-you-go developer tier.
Pricing tiersOn 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) $5.94Free free · Developer Pay as you go free
Model stackGemini · Ironwood · Ironwood (TPU v7) · Ironwood TPU · Ironwood TPU (7th Generation) · TPU v7 · TPU7x · TPU7x (Ironwood) · XLA compilerDeepSeek-V3.1 · gpt-oss-120b · Llama / DeepSeek open weights · Llama 3.1 · Llama 3.1 (8B, 70B, 405B) · Llama 3.1 405B · Llama 3.1 70B · Llama 3.1 8B · MiniMax M2.7 · RDU dataflow · SambaRack SN40-16 · SN40L RDU
Context window
Public API
Routes models
Changes / 30d166
OriginGlobalGlobal
Capabilities9,216-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 performancethree-tier memory, many models per node, fast open-model serving, Reconfigurable Dataflow Unit (RDU), Three-tier memory architecture, Dataflow processing, Low power inference, Multi-model concurrency
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