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 AWS Trainium2
SambaNova SN40L (SambaNova) and AWS Trainium2 (AWS) both sit in Chips & Compute. AWS Trainium2 shipped more tracked changes in the last 30 days (7 vs 2). Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | SambaNova SN40L SambaNova | AWS Trainium2 AWS |
|---|---|---|
| Segment | Chips & Compute | Chips & Compute |
| Version | SN40L | Trainium2 |
| Entry cost | Free tier available; pay-as-you-go developer and subscription-based enterprise plans offered. | Pricing is not published on the page. Available via EC2 instances/UltraServers. |
| Pricing tiers | Free free · Developer Pay as you go free | — |
| Model stack | DeepSeek-V3.1 · gpt-oss-120b · Llama / DeepSeek open weights · Llama 3 · Llama 3.1 · Llama 3.1 (8B, 70B, 405B) · Llama 3.1 405B · Llama 3.1 70B · Llama 3.1 8B · MiniMax M2.7 · MiniMax M3.1 Flash · Production & Preview models · RDU · RDU dataflow · SambaNova RDU · SambaNova SN40L RDUs · SambaRack SN40-16 · SN40L RDU | AWS Trainium2 · Llama · Llama 3.1 · Llama 3.1 405B · Llama 3.3 · Llama 3.3 70B · Neuron compiler · Qwen3 · Stable Diffusion · Trainium2 |
| Context window | — | — |
| Public API | ||
| Routes models | ||
| Changes / 30d | 2 | 7 |
| 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 | Trn2 UltraServer, 64-chip NeuronLink domain, Neuron SDK, Rainier cluster, Generative AI training, Generative AI inference, Up to 20.8 FP8 petaflops, 1.5 TB HBM3 memory |
AWS Trainium2
Trn2 UltraServers and Project Rainier capacity, programmed through the Neuron SDK.
Full AWS Trainium2 record →