NVIDIA H200 Tensor Core GPU
NVIDIA H200 Tensor Core GPU

NVIDIA H200 Tensor Core GPU

Price 2960300 INR/ Piece

MOQ : 1 Piece

NVIDIA H200 Tensor Core GPU Specification

  • Finish
  • Matte Metallic
  • Material
  • Electronic Components
  • Surface Treatment
  • Anodized Aluminium
  • Size
  • Standard GPU Form Factor
  • Equipment Type
  • Accelerator Card
  • Product Type
  • Tensor Core GPU
  • Process
  • TSMC 4N
  • Input Voltage
  • 12V DC
  • Service Period
  • Expected 3-5 Years
  • Technique
  • Multi-Layer PCB, HBM Interconnect
  • Application
  • Data Centers, AI Workloads
  • Dimension (L*W*H)
  • 267 mm x 112 mm x 40 mm
  • Installation Guideline
  • Install into PCIe 4.0 x16 slot with adequate cooling
  • Processing
  • Parallel Processing
  • Design
  • Server-Grade Open Fan
  • Usage
  • High-Performance Computing, AI Training
  • Frequency
  • 1800 MHz base
  • Standard
  • PCI Express Gen 4.0
  • Supply Voltage
  • 12V DC
  • Color
  • Black & Silver
  • Humidity
  • 5%~85% non-condensing
  • Mounting Type
  • Card Edge/Server Rack Mount
  • Weight
  • 2.2 kg (Approx.)
  • Temperature
  • 0C~50C Operational
  • Thickness
  • Dual Slot
  • ECC Support
  • Yes
  • GPU Model
  • NVIDIA H200 Tensor Core
  • CUDA Cores
  • 141,952 cores
  • Cooling Type
  • Blower
  • Chipset Series
  • NVIDIA Hopper H200
  • Memory Type
  • HBM3e
  • NVLink Support
  • Yes
  • Max Power Consumption
  • 700W
  • Tensor Cores
  • 4th Gen
  • Max Resolution
  • 7680x4320
  • Memory Bandwidth
  • 4.8 TB/s
  • Cooling Method
  • Active Blower
  • PCIe Gen
  • Gen 4.0
  • Form Factor
  • Dual Slot
  • Video Memory
  • 141 GB
  • Interface
  • PCIe 4.0 x16
  • Power Connector
  • Server Power Connector
 

NVIDIA H200 Tensor Core GPU Trade Information

  • Minimum Order Quantity
  • 1 Piece
  • Payment Terms
  • Cash in Advance (CID)
  • Supply Ability
  • 10 Pieces Per Month
  • Delivery Time
  • 5-7 Days
  • Main Domestic Market
  • All India
 

About NVIDIA H200 Tensor Core GPU



Witness an ephemeral price cut and seize exceptional value with the redoubtable NVIDIA H200 Tensor Core GPU. Built with superlative 4th Gen Tensor Cores and a potent CUDA core count of 141,952, it's designed for unparalleled acceleration in AI training and high-performance computing. Outfitted with a massive 141 GB HBM3e memory and an astounding 4.8 TB/s bandwidth, this dual-slot, matte metallic accelerator card exemplifies reliability in server-grade workloads. With rigorous ECC and NVLink support, it is the preferred solution for data centers striving for supreme efficiency and future-ready scalability.

Advanced Application and Use for AI-Driven Media

The NVIDIA H200 Tensor Core GPU is purpose-built for demanding AI training, deep learning, and data center workloads. Its use type is ideally catered for servers in enterprise environments where parallel processing and high-throughput applications are a necessity. Designed with a potent parallel architecture, it adeptly handles complex algorithmic and inferencing tasks in data analytics, large-scale simulations, and advanced media processing, thereby maximizing productivity and operational excellence across sectors.


Sample Policy, Export Markets, and Ordering Advantages

Our NVIDIA H200 Tensor Core GPU is available under a transparent sample policy, offering genuine pre-sale assessment before bulk procurement. Catering primarily to export markets in India and international territories, this GPU is offered at a competitive sale price. Orders are dispatched promptly with secure packaging. Payment terms are flexible, supporting major payment channels, thus ensuring a seamless procurement experience for suppliers and traders looking for reliable, high-value equipment.


FAQ's of NVIDIA H200 Tensor Core GPU:


Q: How is the NVIDIA H200 Tensor Core GPU installed in a server environment?

A: To install the NVIDIA H200 Tensor Core GPU, insert it into a PCIe 4.0 x16 slot while ensuring adequate server cooling for stable operation and peak performance.

Q: What key advantages does the H200 offer for AI workloads and data centers?

A: The H200 provides potent parallel processing capabilities, superlative memory bandwidth, and advanced Tensor Cores, resulting in supercharged AI and HPC performance for data centers.

Q: When should I consider upgrading to the NVIDIA H200 for my applications?

A: Upgrade when your workloads demand greater memory, higher bandwidth, and superior acceleration for complex AI, deep learning, or high-performance computing requirements.

Q: Where can I use the NVIDIA H200 Tensor Core GPU most effectively?

A: The H200 performs optimally in data centers, research institutes, and enterprise environments focused on AI training, real-time analytics, and parallel tasks.

Q: What is the expected service period and operational range of the GPU?

A: The expected service period is 3-5 years, with operational temperature ranging from 0C to 50C and humidity from 5% to 85% non-condensing.

Q: How does the sample policy benefit buyers and traders?

A: The sample policy allows buyers to assess product quality firsthand, ensuring confidence before confirming bulk orders for large-scale deployment.

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