NVIDIA H100 NVL

NVIDIA H100 NVL
Details:
NVIDIA H100 NVL 94GB PCIe Tensor Core GPU A 94GB PCIe Hopper GPU for enterprise inference configurations. Product Overview H100 NVL offers a PCIe-based path for buyers evaluating an air-cooled GPU server. Clearly distinguish a single GPU from an NVLink-connected pair in the quotation. This...
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NVIDIA H100 NVL 94GB PCIe Tensor Core GPU

A 94GB PCIe Hopper GPU for enterprise inference configurations.

Product Overview

H100 NVL offers a PCIe-based path for buyers evaluating an air-cooled GPU server. Clearly distinguish a single GPU from an NVLink-connected pair in the quotation. This avoids comparing a one-card price with a configuration that includes two GPUs and bridging components.

Technical Specifications

Specification Details
Brand NVIDIA
Product model H100 NVL
Architecture Hopper
GPU memory 94 GB
Memory type HBM3
Memory bandwidth 3.9 TB/s
Form factor / interface PCIe dual-slot air-cooled
Power specification 350-400 W
Two-GPU NVL memory total 188GB across two 94GB GPUs

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

LLM inference

Specify the model, context length, batch size and required serving latency.

Air-cooled GPU servers

Review slot space, chassis airflow and host qualification before ordering.

NVLink configurations

List the GPU count, bridge requirement and supported server arrangement as separate RFQ fields.

Configuration Note

94GB is the per-GPU memory figure. A two-GPU H100 NVL configuration has 188GB total GPU memory; that is not one card.

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

Does one H100 NVL card contain 188GB of memory?

No. One GPU has 94GB. The 188GB figure refers to two GPUs in an NVL configuration.

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 H100 NVL 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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