SambaNova SN40L
Reconfigurable dataflow units with three-tier memory for serving many models per node.
Full SambaNova SN40L record →Head to head
SambaNova SN40L vs Google TPU Ironwood
SambaNova SN40L (SambaNova) and Google TPU Ironwood (Google) both sit in Chips & Compute. SambaNova SN40L is the cheaper entry point at Free tier available. Paid plans include Developer (Pay-as-you-go) and Enterprise (Subscription-based).. Google TPU Ironwood shipped more tracked changes in the last 30 days (12 vs 5). Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | SambaNova SN40L SambaNova | Google TPU Ironwood |
|---|---|---|
| Segment | Chips & Compute | Chips & Compute |
| Version | SN40L | Ironwood (7th generation) |
| Entry cost | Free tier available. Paid plans include Developer (Pay-as-you-go) and Enterprise (Subscription-based). | from $5.4/unit |
| Pricing tiers | Free free · Developer (Pay-as-you-go) free | On-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 stack | DeepSeek-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 | Gemini · Ironwood · Ironwood (TPU v7) · Ironwood TPU · Ironwood TPU (7th Generation) · TPU v7 · TPU7x · TPU7x (Ironwood) · XLA compiler |
| Context window | — | — |
| Public API | ||
| Routes models | ||
| Changes / 30d | 5 | 12 |
| Origin | Global | Global |
| Capabilities | three-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 | 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 |
Google TPU Ironwood
v7 TPU pods scaling to 9,216 chips, available through Google Cloud and used for Gemini.
Full Google TPU Ironwood record →