Released on May 14, 2020
80GB HBM2e datacenter GPU: the standard for datacenter training and inference. Requires dedicated servers and enterprise power.
Visit the official site to download, learn more and start using NVIDIA A100 80GB (SXM).
La workstation desktop NVIDIA per l'IA locale: superchip Grace Blackwell GB10 con 128GB di memoria unificata a 273 GB/s e circa 1 petaFLOP in FP4. CUDA completo, ~12 tok/s su modelli 27B a 4 bit, prefill veloce su contesti lunghi. Prezzo al lancio 3.999 USD, poi 4.699 USD per la carenza di memoria.
The top-tier datacenter GPU with 80GB HBM3: the top-of-the-line for large-model training and inference. Enterprise configurations only.
11B end-to-end full-duplex voice model: audio understanding and generation in a single architecture, without the cascaded ASR→LLM→TTS stack. First open full-duplex model with tool calling during conversation, ~450ms responses, interruptions, and natural turns.
