View of NVIDIA H100 NVL 94 GB PCIe GPU

NVIDIA H100 NVL 94 GB PCIe GPU – Hopper Architecture for AI & Large-Model Training

NVIDIA

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NVIDIA H100 NVL 94 GB PCIe GPU (PN: 699-21010-0210-700)

Enterprise-Grade NVIDIA H100 NVL 94 GB PCIe GPU – Designed for LLMs, AI Training & HPC Workloads


The NVIDIA H100 NVL 94 GB PCIe GPU (Part Number: 699-21010-0210-700) is built on the cutting-edge Hopper architecture and engineered for the most demanding AI, large language model (LLM), and HPC workloads. With 94 GB of high-bandwidth HBM3 (or high-capacity HBM2e variant) memory and NVLink-enabled scaling, this PCIe accelerator delivers unmatched performance in data-center servers.

Optimized for multi-GPU clusters, the H100 NVL supports enormous model sizes and massive throughput, enabling enterprises to push the boundary of AI training and inference. Whether you’re deploying large-scale transformer models, generative AI, or scientific simulations, the H100 NVL 94 GB delivers the scale and performance needed for next-gen workloads.

Key benefits:

  • Massive 94 GB memory for large model parameters and datasets

  • PCIe form-factor (x16) simplifies integration into standard GPU servers

  • NVLink bridge support for high inter‐GPU bandwidth

  • Passive/optimized cooling (server airflow required) for dense rack deployments

  • Built for enterprise workflows including AI training, inference, HPC and data analytics


⚙ Product Specifications: NVIDIA H100 NVL 94 GB PCIe GPU
CLICK HERE FOR SPECIFICATIONS SHEET

Specification Details
Model / Part Number NVIDIA H100 NVL 94 GB PCIe (PN: 699-21010-0210-700)
Architecture NVIDIA Hopper™ (GH100 GPU)
GPU Memory 94 GB HBM3 / high-capacity memory
Memory Bandwidth ~3.9 TB/s (for 94 GB variant)
Form Factor PCIe x16 dual-slot passive cooler
NVLink & Interconnect NVLink support (600 GB/s inter-GPU)
Multi-Instance GPU (MIG) Up to 7 GPU instances supported
TDP / Cooling Requirements ~400 W (depending on variant); passive cooling requires server airflow
Use Case Large-model AI training, inference, HPC simulations, data analytics
Compatibility Enterprise servers, data-center racks, NVLink-enabled clusters

💬 FAQs (Frequently Asked Questions)

Q1: What types of workloads is the H100 NVL 94 GB ideal for?
A1: It excels at large language model (LLM) training/inference, deep learning, HPC simulations, and data-analytics at scale.

Q2: What is the difference between the 80 GB and 94 GB variants of H100?
A2: The 94 GB variant offers increased memory capacity (~14% higher) and often higher memory bandwidth. The architecture remains Hopper, but the memory stack and bandwidth differ.

Q3: Does this card work in a standard workstation?
A3: Although PCIe form-factor, the H100 NVL is designed for enterprise servers with strong cooling and power delivery. Standard workstations may not suffice without proper infrastructure.

Q4: Is NVLink supported for multi-GPU setups?
A4: Yes — NVLink bridges allow high bandwidth between GPUs in multi-GPU servers.

Q5: What is required for cooling this GPU?
A5: The card uses passive cooling (or very high quality airflow). A suitable server chassis with adequate airflow and cooling is required to maintain reliability and performance.


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