What Makes Nvidia’s Blackwell GPUs a Game-Changer for AI Performance?

Blackwell Architecture and Innovations

In March 2024 Nvidia released the Blackwell GPU series and the GB200 NVL72 architecture, introducing unprecedented compute density and power challenges.

Advanced manufacturing process: 3 nm or 4 nm nodes increase transistor density, enabling more cores and functions on the same die.

Optimized CUDA cores: Redesigned for higher mixed‑precision throughput, benefiting AI and machine‑learning workloads.

Next‑generation ray‑tracing: Improved RT cores deliver faster, more accurate real‑time lighting and reflections.

DLSS upgrade: New deep‑learning super‑sampling enhances frame rates without sacrificing visual quality.

Performance Improvements

Compute power: The B200 chip raises FP16/BF16 performance from 989 TFLOPS (H100) to 2 250 TFLOPS, a 2.25× increase; FP8 performance jumps from 1 979 TFLOPS to 4 500 TFLOPS.

Memory bandwidth: Bandwidth climbs from 3.4 TB/s (H100) and 4.8 TB/s (H200) to 8 TB/s, boosting inference throughput.

NVLink Gen5: Bandwidth doubles to 100 GB/s per link, with 18 ports delivering a total of 1 800 GB/s bidirectional throughput.

Product Variants

GB200 Superchip: Combines a 72‑core Grace ARM CPU with two B200 GPUs, 384 GB GPU memory, and 16 TB/s bandwidth, linked via NVLink C2C for 900 GB/s CPU‑GPU communication.

GB200 NVL2: Features two Grace CPUs and two B200 GPUs with air‑cooling, supporting dual B200 GPUs per node.

GB200 NVL4: Low‑power single‑server solution with four B200 GPUs, two Grace CPUs, and 1.3 TB of unified memory, delivering 2.2× GPU performance over GH200 NVL4.

GB200 NVL72: Rack‑scale system with 72 B200 chips fully interconnected, targeting massive AI training and inference workloads.