
NVIDIA GB200 NVL72 - Rack-Scale Blackwell
Complete specs, benchmarks, and analysis of the NVIDIA GB200 NVL72 - the 72-GPU rack-scale Blackwell system delivering 1,440 PFLOPS FP4 for trillion-parameter AI training and inference.

Complete specs, benchmarks, and analysis of the NVIDIA GB200 NVL72 - the 72-GPU rack-scale Blackwell system delivering 1,440 PFLOPS FP4 for trillion-parameter AI training and inference.

Complete specs, benchmarks, and analysis of the NVIDIA GB300 NVL72 - the Blackwell Ultra rack-scale system with 288GB HBM3e per GPU, 1.5x more FP4 compute, and 2x attention performance over GB200.

Complete specs, benchmarks, and analysis of the NVIDIA H100 SXM - the Hopper-architecture GPU that defined the standard for AI training and inference performance.

Complete specs, benchmarks, and analysis of the NVIDIA H200 - the HBM3e-equipped Hopper GPU that delivers 76% more memory and 43% more bandwidth than the H100 for inference workloads.

Full specs and benchmarks for the NVIDIA GeForce RTX 3090 - 24GB GDDR6X at 936 GB/s, Ampere architecture, and why used 3090s remain the best value option for local AI inference in 2026.

Full specs and benchmarks for the NVIDIA GeForce RTX 4090 - 24GB GDDR6X, 1,008 GB/s bandwidth, Ada Lovelace architecture, and why it remains the default home lab GPU for local AI inference.