SambaNova SN40L
Reconfigurable dataflow units with three-tier memory for serving many models per node.
Full SambaNova SN40L record →Head to head
SambaNova SN40L (SambaNova) and NVIDIA Blackwell (NVIDIA) both sit in Chips & Compute. NVIDIA Blackwell shipped more tracked changes in the last 30 days (9 vs 5). Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | SambaNova SN40L SambaNova | NVIDIA Blackwell NVIDIA |
|---|---|---|
| Segment | Chips & Compute | Chips & Compute |
| Version | SN40L | Blackwell |
| Entry cost | Free tier available. Paid plans include Developer (Pay-as-you-go) and Enterprise (Subscription-based). | Pricing is not publicly listed (enterprise hardware architecture/system) |
| Pricing tiers | Free free · Developer (Pay-as-you-go) free | — |
| 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 | Blackwell · Blackwell B200 · Grace CPU |
| Context window | — | — |
| Public API | ||
| Routes models | ||
| Changes / 30d | 5 | 9 |
| 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 | 72-GPU NVLink domain, FP4 inference, HBM3E 192GB, CUDA ecosystem, Second-generation Transformer Engine, Fifth-generation NVLink, FP4 AI Support, Tensor Cores with microscaling formats |
Reconfigurable dataflow units with three-tier memory for serving many models per node.
Full SambaNova SN40L record →NVL72 rack-scale coherent GPU domains, the default substrate for frontier training and inference.
Full NVIDIA Blackwell record →