The Hardware Engine of the AI Era
At the physical core of generative AI sits NVIDIA silicon. The Blackwell B200 GPU represents a fundamental shift: from individual monolithic chips to cohesive rack-scale compute fabrics engineered specifically for trillion-parameter foundation models.
Dual-Die 4NP TSMC Architecture
With 208 billion transistors fabricated on a custom TSMC 4NP process, the B200 connects two silicon dies across a 10 terabyte-per-second two-way chip-to-chip interconnect, operating logically as a unified single GPU.
Key Metric: The NVL72 liquid-cooled rack integrates 72 Blackwell GPUs and 36 Grace CPUs, delivering 1.4 exaflops of AI inference performance in a single cabinet.
Second-Generation Transformer Engine and FP4 Precision
By introducing native 4-bit floating point (FP4) support within tensor cores, Blackwell cuts memory bandwidth requirements in half while quadrupling token throughput for mixture-of-experts inference workloads.
