NVIDIA H200: A Leap Forward in AI and HPC Performance

NVIDIA has officially launched its H200 Tensor Core GPU, marking a powerful upgrade over the already dominant H100. Built on the same Hopper architecture, the H200 introduces next-generation memory and performance tuning, positioning itself as a new benchmark for AI inference and large-scale training workloads.
Key Features of the H200

The standout feature of the H200 is its adoption of HBM3e (High Bandwidth Memory 3e), making it the first GPU on the market to do so. This upgrade brings:

Memory capacity: 141 GB of HBM3e (up from 80 GB on the H100)

Bandwidth: 4.8 TB/s (vs. 3.35 TB/s on the H100)

Architecture: Hopper, same as H100 but optimized for next-gen inference and training

These enhancements result in a substantial boost in real-world workloads. For instance, when running inference on large models like Llama 2 70B, the H200 achieves up to 1.9x faster performance than the H100.
Performance Comparison: H200 vs H100
Feature NVIDIA H100 NVIDIA H200
Memory 80 GB HBM3 141 GB HBM3e
Bandwidth 3.35 TB/s 4.8 TB/s
Architecture Hopper Hopper (optimized)
Inference Speed Baseline Up to 1.9x faster

These improvements are especially relevant for businesses deploying large-scale language models, recommendation systems, and real-time inferencing applications.
Current Market Prices (April 2025)

Prices for these GPUs continue to fluctuate due to global demand and limited supply:

H100: ~$23,000–$28,000 (depending on configuration and vendor)

H200: ~$33,000–$40,000 (initial market availability)

Open-box units of the H200 have been seen listed for around $33,500, while the H100 is widely available from both distributors and second-hand marketplaces.
Thinking Ahead: When to Upgrade

With the H200 delivering superior bandwidth and capacity, it’s a strategic upgrade for teams pushing the limits of current AI frameworks. Whether you're upgrading for inference efficiency or preparing your infrastructure for future LLMs, the H200 offers future-proofing value.

At the same time, organizations with existing H100 deployments may find value in reselling surplus or decommissioned hardware. Platforms like BuySellRam.com offer secure and fast services for businesses looking to Sell GPU inventory, allowing them to recoup value and reinvest in newer technologies.