The H100 (Hopper architecture) continues to be the gold standard GPU for AI/ML training and inference in 2025 — and for good reasons. Its 80 GB HBM3 memory, 4th-gen Tensor Cores, and NVLink/InfiniBand connectivity make it ideal for large-scale model pre-training, fine-tuning, and high-throughput inference. While newer GPUs based on the Blackwell architecture (e.g., B200, GB200) are beginning to appear, hardware fleet upgrades take time. As a result, H100 remains dominant in cloud offerings. Many organizations still base their tooling, networking, and workflows around H100 — and the availability and price reductions in 2025 reinforce that inertia.
The H100 (Hopper architecture) continues to be the gold standard GPU for AI/ML training and inference in 2025 — and for good reasons. Its 80 GB HBM3 memory, 4th-gen Tensor Cores, and NVLink/InfiniBand connectivity make it ideal for large-scale model pre-training, fine-tuning, and high-throughput inference. While newer GPUs based on the Blackwell architecture (e.g., B200, GB200) are beginning to appear, hardware fleet upgrades take time. As a result, H100 remains dominant in cloud offerings. Many organizations still base their tooling, networking, and workflows around H100 — and the availability and price reductions in 2025 reinforce that inertia.
