NVIDIA H100 80GB PCIe GPU

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NVIDIA H100 80GB PCIe GPU:

The NVIDIA H100 80GB PCIe GPU is a cutting-edge accelerator designed for the most demanding AI, data analytics, and high-performance computing (HPC) workloads. Built on NVIDIA’s revolutionary Hopper architecture, the H100 PCIe delivers unprecedented computational power and efficiency through advanced features such as the Transformer Engine, which introduces FP8 precision for faster training and inference of large language models (LLMs).

This server accessory with 80GB of ultra-fast HBM2e memory, up to 2 terabytes per second of memory bandwidth, and support for PCIe Gen5, the H100 ensures rapid data throughput and scalability for enterprise-level applications. It supports Multi-Instance GPU (MIG) for flexible workload partitioning and features built-in support for confidential computing, making it well-suited for multi-tenant cloud environments.

While slightly less powerful than its SXM counterpart due to lower thermal and power limits, the H100 PCIe remains a top-tier solution for organizations looking to harness extreme performance within standard server infrastructure. Whether used for training transformer-based models, performing real-time inference, or running large-scale simulations, the H100 PCIe sets a new standard for AI and data center compute performance. You can order this product in Atech.ae.

 

NVIDIA H100 80GB PCIe GPU

 

Specifications of NVIDIA H100 80GB PCIe GPU:

  • Architecture: NVIDIA Hopper (successor to Ampere)
  • Memory: 80 GB HBM2e (not GDDR like gaming GPUs)
  • Interface: PCIe Gen5 (also available in SXM form factor)
  • Memory Bandwidth: ~2 TB/s (PCIe version is a bit lower than SXM, which is ~3.35 TB/s)
  • Peak FP16 Tensor Performance: ~3.5 PFLOPS with sparsity
  • Peak FP8 Tensor Performance: ~4.9 PFLOPS with sparsity (thanks to new FP8 support)
  • CUDA Cores: 14592
  • Transistors: 80 billion+
  • NVLink: Supported (though slower in PCIe version vs SXM version)
  • TDP (Thermal Design Power): Around 350W (PCIe version)

 

Features of NVIDIA H100 80GB PCIe GPU:

  • Transformer Engine: Introduced in Hopper, accelerates Transformer models (e.g., GPT, BERT) by using mixed precision (FP8 and FP16).
  • Multi-Instance GPU (MIG): Enables partitioning the GPU into smaller, isolated instances for multi-tenant or multi-user environments.
  • Confidential Computing: Hardware-based security with confidential computing support.
  • NVLink/NVSwitch (limited on PCIe): Enables multi-GPU communication, more powerful in SXM form factor.
  • PCIe Gen5 Support: Provides faster bandwidth between the GPU and CPU Server compared to Gen4.

 

Differences of NVIDIA H100 PCIe vs SXM:

-Form Factor:

  • PCIe: Standard PCIe card (fits in most servers)
  • SXM: Specialized SXM module (requires compatible baseboard)

-Power Limit:

  • PCIe: ~350 watts
  • SXM: ~700 watts (enables higher sustained performance)

-NVLink Support:

  • PCIe: Limited or none (depends on system)
  • SXM: Full NVLink support, enabling up to 900 GB/s of GPU-to-GPU bandwidth

-Memory Bandwidth:

  • PCIe: ~2 terabytes per second
  • SXM: ~3.35 terabytes per second

-Performance:

  • PCIe: Lower due to power and cooling constraints
  • SXM: Higher overall performance, especially in multi-GPU setups

 

The NVIDIA H100 80GB PCIe GPU is an enterprise-grade GPU optimized for AI and HPC, offering powerful performance with massive memory, FP8/FP16 tensor capabilities, and support for multi-GPU workloads but it’s slightly less powerful than the SXM version due to power and thermal limitations. If you’re working on training or running large models (like LLMs), it’s one of the best GPUs available on the market in PCIe form.

You can order all server accessories such Ram server, CPU Server, Motherboard Server, Hard server and more in network equipment market. If you want to know more about these products, contact us.

Other Recommended:

NVIDIA A100 80GB PCIe GPU

GPU Architecture

Hopper

Memory

80 GB HBM2e

Interface

PCIe Gen5

Peak FP16 Tensor Performance

~3.5

Peak FP8 Tensor Performance

~4.9

Memory Bandwidth

~2 TB/s

CUDA Cores

14592

Transistors

80 billion+

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