NVIDIA H200 SXM

NVIDIA H200 SXM
Details:
NVIDIA H200 SXM 141GB HBM3e Tensor Core GPU A 141GB HBM3e Hopper module for memory-intensive AI and HPC projects. Product Overview H200 SXM is worth evaluating when the workload planning process identifies GPU memory and data movement as important constraints. Build the procurement specification...
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NVIDIA H200 SXM 141GB HBM3e Tensor Core GPU

A 141GB HBM3e Hopper module for memory-intensive AI and HPC projects.

Product Overview

H200 SXM is worth evaluating when the workload planning process identifies GPU memory and data movement as important constraints. Build the procurement specification around the supported server platform and your real workload, rather than assuming that an existing accelerator host accepts the module.

Technical Specifications

SpecificationDetails
BrandNVIDIA
Product modelH200 SXM
ArchitectureHopper
GPU memory141 GB
Memory typeHBM3e
Memory bandwidth4.8 TB/s
Form factor / interfaceSXM
Power specificationUp to 700 W

Values apply to the stated product or reference configuration. Confirm the exact part number, host support and supplied configuration before placing an order.

Key Selection Points

Start with the qualified host

Provide the exact server or baseboard model so that module compatibility, cooling and power can be evaluated as a complete configuration.

Budget the workload memory

Include model weights, working memory and concurrency in the planning process. Memory capacity is one selection factor and does not by itself establish application throughput.

Keep multi-GPU scope explicit

Specify whether the request is for one GPU, a matched group or a complete system. Bridges, platform interconnect and installation services should be itemized where required.

Recommended Applications

Memory-intensive inference

Estimate weights, working memory and concurrency for the complete serving workload.

GPU cluster deployment

Coordinate the accelerator choice with the host platform and network design.

HPC analysis

Check precision requirements and benchmark data movement as well as computation.

Configuration Note

This is the SXM version. H200 NVL is a separate PCIe product. The official H200 page marks some specifications as subject to change.

Information to Include in Your RFQ

  • Exact GPU model, edition and board or module part number
  • Compatible server, workstation or baseboard model
  • Available power, cooling and mechanical clearance
  • Application, operating system and driver requirements
  • Single GPU or complete multi-GPU configuration
  • Quantity, condition and delivery destination

Frequently Asked Questions

Are H200 SXM and H200 NVL interchangeable?

No. They use different physical integration paths. Select the version qualified for your server and order it explicitly.

How should I choose the host system?

Start with the server or workstation support list for the exact accelerator configuration. Include power, cooling and mechanical requirements in the compatibility review.

Does a larger memory figure guarantee faster applications?

No. Application behavior also depends on software, precision, data movement and the surrounding system. Compare representative workloads.

Does the product price include a complete server?

Only if the quotation explicitly says so. A GPU or baseboard listing should not be interpreted as a full server bundle.

Are software subscriptions and accessories included?

Confirm the quotation scope. List required software entitlements, cables, bridges, brackets and other accessories separately rather than assuming they are included.

How can I request a quotation from AITI?

Email require@hkaiti.com with the exact model or part number, quantity, destination and project requirements. Ask for availability, condition and service terms for that specific order.

Request a Quote from AITI

Send AITI Tech Limited your H200 SXM requirement, quantity and host configuration. A clearly specified RFQ helps establish the exact hardware and supply scope for your project.

Email: require@hkaiti.com
WhatsApp: +86 181 2644 8810

Technical reference: NVIDIA official product documentation.

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