NVIDIA Blackwell
NVL72 rack-scale coherent GPU domains, the default substrate for frontier training and inference.
Full NVIDIA Blackwell record →Head to head
NVIDIA Blackwell vs AWS Trainium2
NVIDIA Blackwell (NVIDIA) and AWS Trainium2 (AWS) both sit in Chips & Compute. AWS Trainium2 shipped more tracked changes in the last 30 days (7 vs 5). Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | NVIDIA Blackwell NVIDIA | AWS Trainium2 AWS |
|---|---|---|
| Segment | Chips & Compute | Chips & Compute |
| Version | GB200 NVL72 | Trainium2 |
| Entry cost | Pricing is not published (enterprise/quote-only) | Pricing is not published on the page. Available via EC2 instances/UltraServers. |
| Pricing tiers | — | — |
| Model stack | Blackwell · Blackwell B200 · Grace CPU | 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 | 5 | 7 |
| Origin | Global | Global |
| Capabilities | 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 | 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 →