NVIDIA H-Series GPUs

High-performance GPUs designed for AI training, inference, scientific computing, and enterprise-scale machine learning.

NVIDIA H-Series GPUs

Technical Specifications

architecture NVIDIA Hopper
platforms H200, H100, H100 NVL, HGX H200, GH200 Grace Hopper
memory Up to 141GB HBM3e
tensor cores 4th Gen Tensor Cores
precision FP8, FP16, TF32
interconnect NVLink 4.0 / NVSwitch
cpu pairing Grace CPU Superchip (GH200)
deployment Enterprise AI & HPC Datacenters
best for AI Training, Deep Learning, LLM Inference, HPC, Simulation, Advanced Analytics
features Massive AI compute performance, Ultra-high memory bandwidth, Low latency GPU scaling, Optimized transformer engine, Efficient large-model processing

Overview

High-performance GPUs designed for AI training, inference, scientific computing, and enterprise-scale machine learning.

Popular Platforms:

H200
H100
H100 NVL
HGX H200
GH200 Grace Hopper

Best For:
AI training, deep learning, LLM inference, HPC, simulation, and advanced analytics.

Key Highlights

  • Powered by NVIDIA Hopper Architecture
  • Optimized for AI Training & Deep Learning
  • Exceptional Performance for LLM Inference
  • High-Speed HBM3 / HBM3e Memory
  • Advanced Tensor Core Technology
  • Built for Enterprise AI & HPC Workloads
  • Ultra-Fast NVLink Connectivity
  • Supports Large-Scale Multi-GPU Clusters
  • Ideal for Scientific Computing & Simulation
  • Energy Efficient Datacenter Deployment
  • Designed for AI Factories & Supercomputing
  • Best for Large Language Models & Advanced Analytics

Pricing available on request — varies by configuration & quantity.

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Other GPU Solutions

NVIDIA H100

The Industry Standard

  • Up to 80GB HBM3 Memory
  • 4th Gen Tensor Cores
  • FP8 Precision
View Details

NVIDIA H200

More Memory, More Power.

  • Up to 141GB HBM3e
  • 4th Gen Tensor Cores
  • Increased Memory Bandwidth
View Details

NVIDIA B200

Next Gen AI Performance

  • Up to 192GB HBM3e
  • 5th Gen Tensor Cores
  • FP4 & FP8 Precision
View Details