NVIDIA Blackwell
NVIDIA Blackwell is NVIDIA's latest-generation AI GPU architecture, named after mathematician David Harold Blackwell. Unveiled at GTC 2024 with further announcements at GTC 2025 and GTC 2026, it encompasses several GPU variants: the B200 (inference and training optimized), the GB200 (Grace Blackwell Superchip combining ARM CPU + B200 GPU), and the GB200 NVL72 (72-GPU rack-scale system for hyperscalers). Technical advances over predecessor Hopper (H100): native FP4 support delivers another 2× computational efficiency over FP8; the B200 achieves 20 petaflops of FP4 inference performance; the integrated NVLink Switch with 1.8 TB/s bandwidth eliminates inter-GPU communication bottlenecks; 192GB HBM3e memory per B200 enables holding 400B-parameter models without model parallelism. For inference specifically: the GB200 NVL72 rack (72 B200 GPUs, 1.4TB total HBM3e) can hold a one-trillion-parameter model entirely in VRAM and processes it with 30× higher throughput than comparable H100 systems. At GTC 2026, NVIDIA announced Blackwell Ultra: a further 2× inference throughput improvement plus enhanced MIG capabilities. Cloud providers including AWS, Azure, and Google Cloud are progressively deploying Blackwell infrastructure throughout 2025/2026, driving further API price reductions.
Deep Dive: NVIDIA Blackwell
NVIDIA Blackwell is NVIDIA's latest-generation AI GPU architecture, named after mathematician David Harold Blackwell. Unveiled at GTC 2024 with further announcements at GTC 2025 and GTC 2026, it encompasses several GPU variants: the B200 (inference and training optimized), the GB200 (Grace Blackwell Superchip combining ARM CPU + B200 GPU), and the GB200 NVL72 (72-GPU rack-scale system for hyperscalers). Technical advances over predecessor Hopper (H100): native FP4 support delivers another 2× computational efficiency over FP8; the B200 achieves 20 petaflops of FP4 inference performance; the integrated NVLink Switch with 1.8 TB/s bandwidth eliminates inter-GPU communication bottlenecks; 192GB HBM3e memory per B200 enables holding 400B-parameter models without model parallelism. For inference specifically: the GB200 NVL72 rack (72 B200 GPUs, 1.4TB total HBM3e) can hold a one-trillion-parameter model entirely in VRAM and processes it with 30× higher throughput than comparable H100 systems. At GTC 2026, NVIDIA announced Blackwell Ultra: a further 2× inference throughput improvement plus enhanced MIG capabilities. Cloud providers including AWS, Azure, and Google Cloud are progressively deploying Blackwell infrastructure throughout 2025/2026, driving further API price reductions.
Business Value & ROI
Why it matters for 2026
Blackwell ist der Hardware-Treiber der nächsten Welle von KI-Preissenkungen. Unternehmen sollten Blackwells Deployment-Zeitplan bei Cloud-Anbietern einkalkulieren.
Context Take
“Die Blackwell-Architektur beeinflusst direkt die Token-Preise der APIs, die wir nutzen. Migration auf Blackwell-Infrastruktur → 30–50% weitere Preissenkungen in den nächsten 12–18 Monaten.”
Implementation Details
- Related Comparisons
- Production-Ready Guardrails