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NVIDIA H200 NVL PCIE 141GB HBM3e Graphics Card

  • Product id:  24670
  • Stock: In Stock
  • Brand: NVIDIA
  • Model: H200 NVL PCIE
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Key Features

    • Capacity: 141GB
    • Type: HBM3e
    • Bandwidth: 4.8 TB/s
    • Power Consumption: Up to 700W
    • Interface: PCIe 5.0 x16

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Main Features
Capacity 141GB
Multi-Instance GPU (MIG) Up to 7 instances
RT Cores Not Available
Tensor Cores 4th Gen
Type HBM3e
Use Case AI, LLM, HPC
Interface PCIe 5.0 x16
CUDA Cores 16,896
GPU Architecture NVIDIA Hopper
Performance
AI Performance Up to 4.8 PFLOPS
RT Core Performance N/A
TF32 Performance 500 TFLOPS
Bandwidth 4.8 TB/s
Physical Specification
Form Factor SXM
Graphics & Expansion
Display Output None
Additional Features
Cooling Passive (Data Center)
Security Secure Boot + Confidential Computing
Power Source
Power Connector 16-pin
Power Consumption Up to 700W

NVIDIA H200 NVL PCIe 141GB HBM3e Graphics Card

The NVIDIA H200 NVL PCIe 141GB HBM3e Graphics Card is a high-performance data center GPU designed for generative AI, large language models, high-performance computing (HPC), scientific research, and demanding enterprise workloads. Built on the NVIDIA Hopper architecture, the H200 NVL combines 141GB of HBM3e memory with up to 4.8TB/s memory bandwidth to accelerate memory-intensive applications and large AI models.

The PCIe-based H200 NVL is designed for compatible enterprise server platforms and can be deployed in multi-GPU environments using NVIDIA NVLink bridges. Its large memory capacity helps organizations process large datasets and complex models while reducing the need to divide workloads across multiple GPUs.

For businesses, research organizations, cloud providers, and AI infrastructure developers, the NVIDIA H200 NVL provides a powerful platform for AI inference, model development, HPC, data analytics, and other compute-intensive workloads.

Features of NVIDIA H200 NVL PCIe 141GB HBM3e GPU

  • 141GB HBM3e Memory: Provides large high-bandwidth memory capacity for large AI models, datasets, and memory-intensive workloads.
  • 4.8TB/s Memory Bandwidth: Delivers extremely high memory throughput for demanding AI and HPC applications.
  • NVIDIA Hopper Architecture: Provides advanced GPU computing capabilities for generative AI and high-performance computing.
  • PCIe Gen5 Interface: Offers high-bandwidth connectivity with compatible server platforms.
  • Advanced Tensor Core Performance: Accelerates AI training, inference, and other tensor-based workloads.
  • Multi-Instance GPU Support: H200 NVL supports up to seven MIG instances, with configurations of up to 16.5GB per instance.
  • NVLink Support: Compatible multi-GPU configurations can use NVIDIA NVLink bridges for high-speed GPU-to-GPU communication.
  • Enterprise Data Center Design: The PCIe H200 NVL uses a dual-slot air-cooled form factor and supports configurable TDP up to 600W.

NVIDIA H200 NVL for Generative AI and Large Language Models

The NVIDIA H200 NVL 141GB GPU is particularly suitable for generative AI and LLM workloads that require substantial GPU memory. Its 141GB HBM3e memory provides the capacity needed for large models and data-intensive inference workloads, while 4.8TB/s memory bandwidth helps accelerate frequent data movement.

This makes the H200 NVL suitable for AI infrastructure supporting model inference, deep learning, natural language processing, recommendation systems, and other memory-intensive workloads. NVIDIA specifically positions the H200 around generative AI and HPC applications.

NVIDIA H200 NVL for AI Data Centers and HPC

High-performance computing environments require fast processing, large memory capacity, and efficient communication between compute resources. The H200 NVL addresses these requirements with its Hopper architecture, HBM3e memory, PCIe Gen5 connectivity, and multi-GPU capabilities.

Research institutions can use H200 NVL-based systems for scientific computing, simulations, analytics, and other computational workloads. Cloud and enterprise data centers can also deploy compatible H200 NVL systems for shared AI infrastructure and accelerated computing.

NVIDIA H200 NVL 141GB GPU for Enterprise Workloads

The large memory capacity of the H200 NVL makes it useful for enterprise applications where datasets and models exceed the practical memory capacity of conventional GPUs. Multi-Instance GPU technology can also help partition GPU resources for different workloads where supported by the software and deployment environment.

Organizations should evaluate the complete server configuration, including CPU, system memory, power delivery, cooling, networking, storage, and software stack, before deploying an H200 NVL-based infrastructure.

NVIDIA H200 NVL PCIe Compatibility and Deployment

The H200 NVL is a PCIe dual-slot, air-cooled GPU designed for compatible enterprise server platforms. NVIDIA lists PCIe Gen5 connectivity and support for NVIDIA MGX H200 NVL partner systems and NVIDIA-Certified Systems with up to eight GPUs.

Because the GPU can operate at up to 600W configurable TDP, server power and cooling capacity must be checked carefully before installation. Buyers should confirm the exact server manufacturer's compatibility requirements, GPU support, power connectors, airflow configuration, and available expansion slots.

NVIDIA H200 NVL PCIe 141GB in Bangladesh

The NVIDIA H200 NVL PCIe 141GB HBM3e Graphics Card price in Bangladesh depends on configuration, availability, import costs, server platform compatibility, and current market conditions. Enterprise GPU pricing can change significantly based on stock and deployment requirements.

For the latest NVIDIA H200 NVL price in BD, customers can contact Crystal Vision Solutions for current availability, pricing, configuration assistance, and enterprise supply requirements.

Why Buy NVIDIA H200 NVL from Crystal Vision Solutions?

Crystal Vision Solutions provides professional IT hardware and infrastructure solutions for businesses, data centers, AI deployments, and enterprise environments in Bangladesh. Customers can receive assistance with GPU selection, server compatibility, configuration planning, and enterprise hardware sourcing. For demanding deployments such as AI servers, GPU workstations, and data center infrastructure, proper configuration is essential to achieve reliable performance. Crystal Vision Solutions focuses on genuine products, competitive pricing, technical guidance, secure delivery across Bangladesh, and after-sales support.

Where Can NVIDIA H200 NVL 141GB Be Used?

  • Generative AI Infrastructure
  • Large Language Model (LLM) Workloads
  • AI Training and Inference
  • Deep Learning Systems
  • High-Performance Computing (HPC)
  • Scientific Research
  • Cloud Computing Platforms
  • Enterprise Data Centers
  • Big Data Analytics
  • Financial Modeling
  • Engineering Simulation
  • Medical and Research Computing
  • Multi-GPU AI Servers
  • Virtualized GPU Infrastructure

Frequently Asked Questions (FAQs)

What is the NVIDIA H200 NVL 141GB price in Bangladesh?

The price varies according to availability, configuration, import cost, and current market conditions. Contact Crystal Vision Solutions for the latest BD price and availability.

Is NVIDIA H200 NVL compatible with every PCIe server?

No. H200 NVL requires a compatible enterprise server with sufficient PCIe support, power delivery, cooling, physical clearance, and system-level validation.

Is NVIDIA H200 NVL suitable for large language models?

Yes. Its 141GB HBM3e memory and 4.8TB/s memory bandwidth make it particularly suitable for memory-intensive generative AI and LLM workloads.

How much power does NVIDIA H200 NVL require?

NVIDIA lists the H200 NVL with a configurable maximum TDP of up to 600W. The server's power supply and cooling system should therefore be designed to support the GPU's requirements.

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What is the NVIDIA H200 NVL PCIE 141GB HBM3e Graphics Card price in Bangladesh 2026?

The latest price of NVIDIA H200 NVL PCIE 141GB HBM3e Graphics Card in Bangladesh depends on availability, specifications, and current market conditions. For quick pricing updates and stock details, reach out to us via WhatsApp or email.