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NVIDIA B200 vs NVIDIA GB200 (Grace Blackwell 200, 2024-Q4): Spec Comparison & Buyer's Guide

In AI infrastructure selection, NVIDIA B200 and NVIDIA GB200 (Grace Blackwell 200, 2024-Q4) are two accelerators frequently compared. This article contrasts them item by item — architecture, compute, memory, power, and release cadence — to help you quickly judge which fits training or inference workloads.

Spec Comparison Table

VendorNVIDIA B200NVIDIA GB200 (Grace Blackwell 200, 2024-Q4)
VendorNVIDIANVIDIA
ArchitectureBlackwell GB100Grace Blackwell 200 Superchip
ProcessTSMC 4NP
Release Date2024 GTC,20252024-03-18
FP8 Compute9 PFLOPS
FP16 Compute4.5 PFLOPS
FP32 Compute
INT8 Compute
Memory Type
Memory Capacity192 GB HBM3e
Memory Bandwidth8 TB/s
TDP Power1000 W1000W

Key Differences

  • The two chips are positioned similarly; evaluate based on your specific workload, software-stack maturity, and supply-chain availability.

Selection Advice

  • When chasing extreme single-card compute and a mature toolchain, prioritize NVIDIA B200; if budget, power wall, or local support are hard constraints, NVIDIA GB200 (Grace Blackwell 200, 2024-Q4) often fits better. Use this site's AI Compute Card Comparison Tool to validate multiple chips side-by-side before deciding.

FAQ

What are the main differences between NVIDIA B200 and NVIDIA GB200 (Grace Blackwell 200, 2024-Q4)?

The core difference is architecture and compute density: NVIDIA B200 uses Blackwell GB100, FP8 ~9 PFLOPS, memory 192 GB HBM3e; NVIDIA GB200 (Grace Blackwell 200, 2024-Q4) uses Grace Blackwell 200 Superchip, FP8 ~No public FP8 data, memory —. See the comparison table above.

What is the TDP (power) of NVIDIA B200?

NVIDIA B200 has a TDP of 1000 W; actual whole-system power also includes board, fans, and PUE.

Which is better for large-model training / inference?

Training values memory capacity, bandwidth, and multi-card interconnect; inference values single-card throughput and power efficiency. Combine the "Key Differences" and "Selection Advice" above with your batch size, model size, and SLA.

How much do NVIDIA B200 and NVIDIA GB200 (Grace Blackwell 200, 2024-Q4) differ in memory capacity?

NVIDIA B200 is 192 GB HBM3e, NVIDIA GB200 (Grace Blackwell 200, 2024-Q4) is —; the gap directly affects loadable model size and context length.