AWS Trainium2
Trn2 UltraServers and Project Rainier capacity, programmed through the Neuron SDK.
Full AWS Trainium2 record →Head to head
AWS Trainium2 vs SambaNova SN40L
AWS Trainium2 (AWS) and SambaNova SN40L (SambaNova) both sit in Chips & Compute. Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | AWS Trainium2 AWS | SambaNova SN40L SambaNova |
|---|---|---|
| Segment | Chips & Compute | Chips & Compute |
| Version | Trainium2 | SN40L |
| Entry cost | Pricing not published; available via AWS EC2 instance pricing. | Free tier available. Paid plans include Developer (Pay-as-you-go) and Enterprise (Subscription-based). |
| Pricing tiers | — | Free free · Developer (Pay-as-you-go) free |
| Model stack | Neuron compiler · Trainium2 | 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 |
| Context window | — | — |
| Public API | ||
| Routes models | ||
| Changes / 30d | 5 | 5 |
| Origin | Global | Global |
| Capabilities | 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 | 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 |
SambaNova SN40L
Reconfigurable dataflow units with three-tier memory for serving many models per node.
Full SambaNova SN40L record →