NVIDIA H100 80GB (900-21010-0000-000)

P/N: 900-21010-0000-000

22 293  (inc. VAT (Spain))

  • EU Delivery time is made within 3-7 days

  • Warranty 2 year

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NVIDIA H100 80GB. with fast EU delivery and worldwide shipping. Includes official warranty.

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Technical Specifications Product

Weight 1,55 kg
Dimensions 26,8 × 11,1 × 17 cm
Country of manufacture

Taiwan

Manufacturer's warranty (years)

1

Model

NVIDIA H100

Cache L2 (MB)

50

Process technology (nm)

4

Memory type

HBM2e

Graphics Processing Unit (Chip)

Number of CUDA cores

14592

Number of Tensor cores

432

GPU Frequency (MHz)

1095

GPU Boost Frequency (MHz)

1755

Video memory size (GB)

80

Memory frequency (MHz)

16000

Memory bus width (bits)

5120

Memory Bandwidth (GB/s)

2039

Connection interface (PCIe)

PCIe 5.0 x16

FP16 performance (TFLOPS)

1979

FP32 performance (TFLOPS)

989

FP64 performance (TFLOPS)

49

Cooling type

Passive (server module)

Number of occupied slots (pcs)

2

Temperature range (°C)

0–85

Multi-GPU support

Yes, via NVLink

Virtualization/MIG support

MIG (up to 7 instances)

SKU

900-21010-0000-100, 900-21010-0300-030, 900-21010-6200-030

Architecture

Hopper

Product description

H100 80GB PCIE OEM graphics card: graphics, speed, and capabilities without compromise

NVIDIA H100 80GB PCIe OEM is a professional accelerator based on the Hopper architecture, designed for training and inference of artificial intelligence models, big data processing, and high-performance computing. This card is intended for use in data centres and corporate infrastructures where scalability and efficiency are important.

Unlike gaming graphics cards, the H100 is not equipped with video outputs or multimedia units. It is a specialised tool for building clusters and server solutions, optimised for machine learning and HPC tasks.

Specifications

  • GPU architecture: NVIDIA Hopper
  • Graphics processor memory: 80GB HBM2e
  • Number of CUDA cores: 14,592
  • Number of Tensor Cores: 576 (4th generation)
  • FP64, FP32: Depends on optimisation and workload
  • Tensor Core Performance: Delivers high performance for task solving and deep learning
  • INT8: Delivers high performance for AI tasks
  • GPU frequency: Base frequency and boost frequency vary depending on workload and cooling system
  • Process Technology: 4nm (TSMC 4N)
  • PCIe Support: PCIe Gen5
  • Memory Bandwidth: 3 TB/s
  • Memory interface: 5120 bits
  • Form factor: PCIe expansion card
  • Maximum thermal design power: up to 350 W (may vary depending on load)
  • Cooling system: Active
  • Interfaces: PCIe Gen5 x16
  • Multi-instance GPU: number of instances depends on configuration
  • NVIDIA AI Software Stack: Supports various AI libraries and frameworks such as CUDA, cuDNN, TensorFlow, PyTorch, etc.
  • NVIDIA Data Centre GPUs: Optimised for data centre operations
  • NVIDIA Virtual GPU: Supports splitting the GPU into separate instances.

Key benefits and areas of application

H100 80GB PCIe is in demand where world-class computing power is required:

  • training large language models (LLMs) and generative neural networks;
  • inference and model optimisation in enterprise AI services;
  • scalable computing clusters using Multi-Instance GPU (MIG);
  • virtualisation and resource sharing through NVIDIA Virtual GPU and AI Software Stack;
  • integration with popular frameworks (CUDA, cuDNN, TensorFlow, PyTorch, etc.).
  • Features and positioning

    NVIDIA H100 80GB PCIe OEM combines high performance with scalability. Support for PCIe Gen5, large memory capacity, and optimisation for AI frameworks make it a versatile solution for enterprise customers.

    Compared to the previous generation A100, the H100 accelerator delivers a multiple increase in power for machine learning and inference tasks, opening up opportunities for generative AI and LLM model processing.

    How the H100 differs from the A100

    While the A100 80GB was a versatile accelerator for HPC and AI, the H100 was designed specifically for generative models and ultra-large-scale language systems.

  • Double the number of CUDA cores and Tensor Cores.
  • FP8 support — a key difference that provides a huge speed boost when training LLMs.
  • Higher memory bandwidth (HBM3 vs. HBM2e).
  • PCIe 5.0 and NVLink 4.0 interface for next-generation clusters.
  • Thus, the A100 remains a proven and more affordable solution for data centres, while the H100 is the choice for those working at the forefront of generative AI.

    Why you should buy NVIDIA H100 80GB PCIe OEM from OSODOSO.NET

    We offer original NVIDIA H100 PCIe OEM server accelerators with warranty and official support:

  • direct delivery from the US and Europe;
  • 3-year warranty;
  • Any form of payment. Card, bank transfer (w/ex VAT), USDT cryptocurrency;
  • consultations on selecting equipment for specific tasks.
  • Buying the H100 80GB PCIe OEM at OSODOSO.NET means investing in performance and stability for modern AI systems and data centres.

    NVIDIA H100 80GB PCIe OEM is a specialised accelerator designed for AI clusters, HPC and enterprise computing. It combines the Hopper architecture, HBM2e memory, and support for modern tools, providing the foundation for the future of artificial intelligence.

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    Product Berchmark

    Overview and Analysis of the NVIDIA H100 80GB Video Card

    The NVIDIA H100 80GB is a flagship graphics accelerator built on the Hopper architecture, designed for High-Performance Computing (HPC) and Artificial Intelligence tasks. The video card is engineered to accelerate the training of giant language models, deep neural networks, as well as to solve the most complex problems in genomics, quantum chemistry, and scientific simulation.

    A key feature of the H100 is the use of fourth-generation Tensor Cores and the Transformer Engine, which provide unprecedented performance in AI tasks. The accelerator supports the PCIe 5.0 interface, which doubles the data exchange speed with the central processor compared to the previous generation, ensuring maximum bandwidth for scalable systems.


    Comparative Table of Technical Specifications

    The table presents a comparison of the NVIDIA H100 80GB with nine closest competitors and alternative solutions available in this segment, including predecessors (A100), enhanced versions (H200, H100 NVL), and professional solutions based on Ada Lovelace and Blackwell architectures.

    Model VRAM (GB) Memory Type Bandwidth (GB/s)* CUDA Cores Tensor Cores FP16 (TFLOPS) FP32 (TFLOPS) FP64 (TFLOPS) Tensor Perf (TFLOPS) Interface TDP (W)
    NVIDIA H100 80GB 80 HBM2e 2039 14592 432 1979 989 49 3958 PCIe 5.0 x16 350
    NVIDIA H200 141GB 141 HBM3e 4800 14592 432 1979 989 49 3958 PCIe 5.0 x16 600
    NVIDIA H100 96GB 94 HBM3 3900 16896 432 1979 989 49 3958 PCIe 5.0 x16 400
    NVIDIA H100 NVL 94GB 94 HBM3 3900 14592 432 1513 756 30 3026 PCIe 5.0 x16 400
    NVIDIA A100 80GB 80 HBM2e 1935 6912 432 312 156 9.7 624 PCIe 4.0 x16 300
    NVIDIA A100 40GB 40 HBM2e 1555 6912 432 312 156 9.7 624 PCIe 4.0 x16 250
    NVIDIA RTX Pro 6000 Blackwell 96GB 96 GDDR7 ECC 1792 24064 752 110.1 55.1 1.97 220.2 PCIe 5.0 x16 600
    NVIDIA RTX 6000 Ada 48GB 48 GDDR6 ECC 960 18176 568 91.1 1457 PCIe 4.0 x16 300
    NVIDIA L40S 48GB 48 GDDR6 ECC 864 18176 568 733 366 PCIe 4.0 x16 350
    NVIDIA L40 48GB 48 GDDR6 ECC 864 18176 568 362.1 90.5 1.4 PCIe 4.0 x16 300

    *Memory Bandwidth (GB/s)


    Analysis of Technical Specifications of the NVIDIA H100 80GB Video Card

    An analysis of the technical specifications shows the clear dominance of the NVIDIA H100 80GB in the high-performance computing segment compared to the reviewed competitors:

    • AI Performance (FP16/Tensor): The NVIDIA H100 demonstrates a colossal lead in FP16 tasks (1979 TFLOPS), which is more than 6 times superior to the previous industry standard A100 (312 TFLOPS) and significantly ahead of the L40S and RTX line solutions. Tensor performance (3958 TFLOPS) makes this card an unrivaled tool for LLM training.
    • Technological Memory Superiority: Although the memory capacity (80 GB) is identical to the A100 80GB, the use of the PCIe 5.0 interface and higher memory bandwidth (2039 GB/s) ensures more efficient data loading to computing cores, eliminating bottlenecks when working with large models.
    • Computing Versatility (FP64): Unlike RTX and L40 series cards, which are optimized for FP32 or visualization, the H100 possesses full support for double-precision calculations (FP64) at a level of 49 TFLOPS. This is critical for scientific simulation, where the H100 is 5 times faster than the A100.
    • Power Consumption Balance: With a TDP of 350 W, the H100 provides a manifold increase in performance per watt compared to the A100 and even newer but less specialized solutions, making it an efficient choice for large data centers.

    Conclusion

    The NVIDIA H100 80GB is the undisputed technological leader in the segment under review. It represents a qualitative leap compared to the Ampere generation (A100), offering a multiple increase in performance in key AI and HPC metrics. It is the most powerful and balanced solution for building modern machine learning infrastructure, ensuring maximum computing density and readiness for tomorrow’s challenges.

    Product FAQ

    The NVIDIA H100 80GB is a specialized computing accelerator created for the most resource-intensive workloads. Its main areas of application include training and inference of Large Language Models (LLMs, such as GPT), generative AI, High-Performance Computing (HPC), genomics, molecular dynamics, and complex scientific simulations. It is not intended for standard workstations or graphic design in the traditional sense.

    The Hopper architecture delivers a significant performance boost. In AI tasks using FP16 precision, the H100 outperforms the A100 by more than 6 times (1979 TFLOPS vs. 312 TFLOPS). Thanks to the new Transformer Engine, neural network training speeds can be up to 9 times faster, and inference speeds up to 30 times faster, depending on the specific model and optimization.

    Yes, the NVIDIA H100 features a PCIe 5.0 interface but is backward compatible with PCIe 4.0 slots. However, to unlock the full potential of data transfer speeds (up to 128 GB/s bi-directional) and memory performance, it is recommended to use platforms supporting PCIe Gen5.

    No. The NVIDIA H100 80GB is a computational accelerator (GPGPU) designed for server racks. The card lacks video outputs for connecting monitors. System management and access are performed remotely via the server console.

    The card has a Thermal Design Power (TDP) of 350W and is equipped with a passive cooling system. This means it has no fans of its own and requires installation in a server chassis with powerful directional airflow passing through the card’s heatsink. For power, it uses a modern 16-pin connector (12VHPWR) or adapters included with certified servers.

    Yes, the H100 PCIe version supports NVLink technology (via a special NVLink Bridge), allowing up to two video cards to be connected for direct data exchange at speeds of up to 600 GB/s, bypassing the PCIe bus. This is critically important for scaling AI training tasks when the model does not fit into the memory of a single accelerator.

    The accelerator is equipped with 80 GB of high-speed HBM2e memory (or HBM3, depending on the specific supply revision) with a bandwidth of over 2000 GB/s (up to 3.35 TB/s for SXM versions; for PCIe — around 2 TB/s). This ensures lightning-fast data loading, which is necessary for working with large datasets.

    The card itself works with NVIDIA Data Center Drivers. However, accessing the full stack of optimized software, including pre-trained models and frameworks (NVIDIA AI Enterprise), may require a separate enterprise license, which is often purchased alongside the hardware for commercial use.

    Payment & Shipping methods

    Fast and reliable delivery across the European Union
    Estimated transit time: 3–7 days from order confirmation. Worldwide shipping is available for customers outside the EU.
    All orders are processed within 24 hours after confirmation. Tracking information is provided as soon as the parcel leaves our logistics center.

    Multiple Secure Payment Methods
    We accept: Visa, MasterCard, Apple Pay, Google Pay, PayPal, SEPA, iDEAL, Amazon Pay, Bancontact, International Bank Transfers, Klarna via Stripe gateway.
    All transactions are encrypted and processed via certified Stripe payment gateway for your security.

    Additional Notes

    • Delivery times may vary depending on customs clearance and carrier schedules.
    • Large or custom-built items may require additional handling time.
    • Shipments are insured until delivered to the customer.
    • We do not deliver to P.O. boxes or military addresses.

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