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 Cerebras WSE-3
NVIDIA Blackwell (NVIDIA) and Cerebras WSE-3 (Cerebras) both sit in Chips & Compute. Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | NVIDIA Blackwell NVIDIA | Cerebras WSE-3 Cerebras |
|---|---|---|
| Segment | Chips & Compute | Chips & Compute |
| Version | Blackwell | WSE-3 |
| Entry cost | Pricing is not publicly listed (enterprise hardware architecture/system) | Free tier / developer tier pricing available (contact/partner integrations) |
| Pricing tiers | — | Developer Tier free |
| Model stack | Blackwell · Blackwell B200 · Grace CPU | Codex-Spark · Gemma · Gemma-4-31B · GLM-4.7 · GPT 5.6 Sol · GPT-5.6-Sol-Ultrafast · Kimi K2.6 · Llama · Llama / Qwen / GPT-OSS · Qwen · WSE-3 |
| Context window | — | — |
| Public API | ||
| Routes models | ||
| Changes / 30d | 9 | 9 |
| 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 | wafer-scale engine, record token/s on open models, CS-3 systems, training clusters, Wafer-scale AI inference, Cerebras PyTorch, ModelZoo, Low-level SDK |
Cerebras WSE-3
Single-wafer accelerators delivering the fastest published open-model token rates.
Full Cerebras WSE-3 record →