NVIDIA H100

Data Center AI GPU N DevOps & Hardware

Basic Information

Product Description

The NVIDIA H100 is a top-tier AI training and inference processor based on the Hopper architecture, serving as the de facto standard for data center AI computing. Equipped with 80GB HBM3 high-bandwidth memory (up to 3.35 TB/s bandwidth), fourth-generation Tensor Cores, and Transformer Engine supporting FP8 precision, it delivers 4x faster training speeds for GPT-3-level models compared to the A100. The H100 is the preferred GPU for large-scale LLM training and high-throughput inference.

Core Features/Highlights

  • 80GB HBM3 memory (3.35 TB/s bandwidth for SXM version, 3.9 TB/s for NVL version)
  • Fourth-generation Tensor Cores + Transformer Engine (FP8 precision)
  • 3,958 TFLOPS FP8 Tensor Core throughput
  • 34 TFLOPS FP64, 67 TFLOPS FP32
  • Fourth-generation NVLink interconnect
  • PCIe Gen5 interface
  • Configurable 700W power consumption (SXM version)

Pricing

  • H100 PCIe 80GB: $25,000-$30,000
  • H100 SXM 80GB: $35,000-$40,000
  • DGX H100 system (8x SXM): $250,000-$400,000
  • Cloud rental: Approximately $2.37/hour (on-demand)

Performance

  • Reduces large model training time by 2-3x compared to equivalent A100 clusters
  • Increases inference throughput for large Transformer models by 2-4x
  • FP8 Transformer Engine is a key innovation for training efficiency
  • Supports large-scale multi-node training clusters

Target Users

  • Enterprises and research institutions focused on AI model training and large-scale inference
  • OpenClaw cloud deployments requiring the highest inference throughput
  • AI cloud service providers
  • Large language model development teams

Competitive Advantages

  • The de facto standard for data center AI computing
  • Comprehensive NVIDIA AI software ecosystem (CUDA, TensorRT, NeMo, etc.)
  • FP8 precision significantly enhances performance while maintaining model quality
  • Mature multi-node training support
  • Widely available H100 instances across cloud service providers

Relationship with OpenClaw Ecosystem

The H100 is the optimal data center GPU for providing enterprise-level LLM inference services for OpenClaw. OpenClaw's cloud inference backend can be deployed on H100 clusters, delivering high-throughput, low-latency AI inference services to a large user base. For OpenClaw advanced deployments requiring self-training or fine-tuning models, the H100 is the preferred hardware for the training phase.

Sources