NVIDIA H100 GPU
$1.10 - $1.80
/hr
The NVIDIA H100 Tensor Core GPU, built on NVIDIA’s Hopper architecture, is designed for large-scale AI workloads including LLM training, fine-tuning, and high-performance inference.
Compared to earlier generations such as the A100, the H100 delivers higher compute efficiency, memory bandwidth, and transformer performance, making it a common choice for AI startups, research teams, and enterprises running modern foundation models.
Key capabilities include Transformer Engine support (FP8, FP16, BF16, TF32), high-bandwidth HBM3 memory, and NVLink for high-speed GPU-to-GPU communication within a node. In multi-node deployments, H100 systems are typically paired with InfiniBand-based networking, depending on the provider’s infrastructure.
On Compute Exchange, NVIDIA H100 GPUs are available across multiple providers, regions, and pricing models, enabling teams to compare options and source capacity aligned with their training and inference needs.
Nvidia H100 Specifications
ARCHITECTURE
NVIDIA Hopper
MEMORY
80 GB HBM3
MEMORY BANDWIDTH
up to 3.35 TB/s (SXM)
PRECISION SUPPORT
FP8 / FP16 / BF16 / TF32
INTERCONNECT
NVLink (up to 900 GB/s)
FORM FACTORS
SXM5 / PCIe Gen 5
PRIMARY USE CASES
LLM Training, Inference at Scale
TDP
700W (SXM) / 350W (PCIe)
WHAT IS H100 USED FOR?
H100 pricing varies significantly based on region, provider type, deployment model, networking, and current supply–demand dynamics. Public cloud pricing often differs materially from neocloud and bare-metal offerings, and advertised rates rarely reflect the full picture.
Live H100 availability
Regional price differences
Configuration comparisons
Flexible deployment options
Reserved H100 capacity across 75+ neoclouds and independent providers
Contract-based allocations with defined terms and guaranteed availability
Bare-metal and virtualized deployments, depending on provider configuration
Single-node or multi-node cluster reservations
Commitments tailored to sustained training, fine-tuning, or production inference workloads
"Compute Exchange acts as a broker and marketplace layer, helping buyers match workload needs to the right supply — without forcing architectural changes."
Global Network
Access verified providers across North America, Europe, and Asia Pacific, offering reserved capacity in multiple regions and configurations.
Why Buy H100 Through Compute Exchange
Compare reserved NVIDIA H100 capacity across providers, regions, and configurations to match your training or inference requirements — without overcommitting or relying on a single vendor.