shopping_bag

CART

0

difference
Compare

0

forum
arrow_right_alt

YOUR CART

NVIDIA H200 NVL PCIE 141GB HBM3e Graphics Card

Brand: ADATA
Status: Pre-Order
Pre-Order

Main Features

  • Model: H200 NVL
  • 141GB of HBM3e GPU memory
  • 4.8TB/s of memory bandwidth
  • 4 petaFLOPS of FP8 performance
  • 2X LLM inference performance
Show More

Payment Methods

à§³0

Pay cash discounted price and save

Pay cash discounted price and save

remove add
NVIDIA H200 NVL PCIE 141GB

NVIDIA H200 NVL PCIE 141GB

0
×
  • Specification
  • Description
  • Reviews

Product Specification

Video Memory Specifications
TypeHBM3e
Size141GB
Memory Interface6016 bits
OthersFP64: 34 TFLOPS
FP64 Tensor Core: 67 TFLOPS
TF32 Tensor Core: 989 TFLOPS
BFLOAT16 Tensor Core: 1,979 TFLOPS
FP16 Tensor Core: 1,979 TFLOPS
FP32: 67 TFLOPS
FP8 Tensor Core: 3,958 TFLOPS
INT8 Tensor Core: 3,958 TFLOPS
GPU Memory Bandwidth: 4.8 TB/s
Decoders: 7 NVDEC, 7 JPEG
Warranty
Manufacturing Warranty2 Years

Description

NVIDIA H200 NVL PCIe 141GB HBM3e Graphics Card in Bangladesh – Ultimate AI & HPC Performance Powerhouse

If you’re working with large-scale AI models, deep learning pipelines, or high-performance computing (HPC), you already know the frustration—your hardware becomes the bottleneck long before your ideas do.

Training takes too long. Memory runs out. Performance drops under heavy workloads.

For professionals and organizations in Bangladesh stepping into AI, data science, and enterprise-level computing, this limitation isn’t just inconvenient—it’s expensive.

That’s where the NVIDIA H200 NVL PCIe 141GB HBM3e Graphics Card changes the equation completely.

This isn’t a consumer GPU. It’s a data center-grade accelerator built for massive AI workloads, ultra-fast memory bandwidth, and extreme computational power. With cutting-edge HBM3e memory and industry-leading Tensor Core performance, the H200 NVL is designed to handle the most demanding applications—from large language models (LLMs) to scientific simulations.

In this article, you’ll understand why this GPU is a breakthrough for AI infrastructure in Bangladesh—and whether it’s the right investment for your needs.

 Understand the Real Need Behind AI & HPC GPUs in Bangladesh

As Bangladesh rapidly adopts AI, machine learning, and big data technologies, the demand for high-performance GPUs is growing fast.

But standard GPUs fall short when it comes to:

  • Training large AI models
  • Running complex simulations
  • Handling massive datasets
  • Achieving real-time inference

Common challenges include:

  • Memory limitations
  • Slow training speeds
  • High latency in inference
  • Inefficient parallel processing

For research labs, startups, and enterprises in Bangladesh, these limitations slow innovation.

The NVIDIA H200 NVL GPU in Bangladesh is built specifically to overcome these barriers.

 How NVIDIA H200 NVL PCIe Solves These Problems

This GPU is engineered for next-generation AI, HPC, and enterprise workloads.

 Massive 141GB HBM3e Memory

With 141GB of HBM3e memory, you get:

  • Ability to train larger AI models
  • Reduced need for data partitioning
  • Faster processing of large datasets

This is crucial for:

  • Large Language Models (LLMs)
  • Deep learning frameworks
  • Scientific computing

 Ultra-High Memory Bandwidth (4.8 TB/s)

The 4.8 TB/s bandwidth ensures:

  • Lightning-fast data transfer
  • Reduced bottlenecks
  • Improved GPU utilization

This is significantly higher than traditional GPUs, making it ideal for data-heavy tasks.

 Extreme AI & Tensor Performance

The H200 NVL delivers unmatched computational power:

  • FP8 Tensor Core: 3,958 TFLOPS
  • FP16 / BFLOAT16: 1,979 TFLOPS
  • TF32 Tensor Core: 989 TFLOPS
  • FP32: 67 TFLOPS
  • FP64: 34 TFLOPS

This translates to:

  • Faster model training
  • Efficient inference
  • Real-time AI processing

 Optimized for AI, ML & HPC Workloads

Perfect for:

  • AI model training & inference
  • Natural Language Processing (NLP)
  • Computer vision
  • Scientific simulations
  • Financial modeling

 Advanced Decoding Capabilities

With 7 NVDEC + 7 JPEG decoders:

  • Efficient video processing
  • High-performance media workflows
  • AI-based video analytics

 Expert Buying Guide for AI GPU in Bangladesh

Before investing in a high-end GPU like the H200 NVL, consider the following:

 Use Case Clarity

  • AI training (LLMs, deep learning)
  • HPC simulations
  • Enterprise-scale data processing

 Memory Requirement

  • Large models require 100GB+ VRAM
  • HBM3e offers superior speed vs GDDR

 Infrastructure Compatibility

  • Requires server-grade systems
  • Ensure PCIe compatibility
  • Proper cooling & power setup

 Performance Needs

  • Tensor performance for AI
  • FP64 performance for scientific workloads

 Budget & ROI

  • High initial cost
  • Long-term efficiency gains justify investment

 Key Features at a Glance

  •  141GB HBM3e ultra-fast memory
  •  4.8 TB/s memory bandwidth
  •  FP8 Tensor Core up to 3,958 TFLOPS
  •  FP16 / BFLOAT16 up to 1,979 TFLOPS
  •  FP32: 67 TFLOPS
  •  FP64: 34 TFLOPS
  •  6016-bit memory interface
  •  7 NVDEC + 7 JPEG decoders
  •  Data center-grade performance
  •  2-year manufacturing warranty

 Why Choose Four Star IT (Trust Section)

When investing in enterprise-grade hardware, choosing the right partner is critical.

Four Star IT delivers reliability, authenticity, and expert support in Bangladesh.

  •  100% genuine NVIDIA hardware
  •  Trusted sourcing for enterprise products
  •  Competitive pricing for bulk & enterprise buyers
  •  Technical consultation for deployment
  •  Reliable warranty support

For businesses and professionals, this means:

  • Reduced risk
  • Better performance ROI
  • Long-term operational stability

Ready to power your AI infrastructure with next-generation performance?

Explore the NVIDIA H200 NVL PCIe GPU and enterprise-grade solutions at Four Star IT — where innovation meets reliability and performance drives the future.

Reviews (0) :

Get specific details about this product from customers who own it.

Write your review

 Bad           Good

Product Specification

Video Memory Specifications
TypeHBM3e
Size141GB
Memory Interface6016 bits
OthersFP64: 34 TFLOPS
FP64 Tensor Core: 67 TFLOPS
TF32 Tensor Core: 989 TFLOPS
BFLOAT16 Tensor Core: 1,979 TFLOPS
FP16 Tensor Core: 1,979 TFLOPS
FP32: 67 TFLOPS
FP8 Tensor Core: 3,958 TFLOPS
INT8 Tensor Core: 3,958 TFLOPS
GPU Memory Bandwidth: 4.8 TB/s
Decoders: 7 NVDEC, 7 JPEG
Warranty
Manufacturing Warranty2 Years

Description

NVIDIA H200 NVL PCIe 141GB HBM3e Graphics Card in Bangladesh – Ultimate AI & HPC Performance Powerhouse

If you’re working with large-scale AI models, deep learning pipelines, or high-performance computing (HPC), you already know the frustration—your hardware becomes the bottleneck long before your ideas do.

Training takes too long. Memory runs out. Performance drops under heavy workloads.

For professionals and organizations in Bangladesh stepping into AI, data science, and enterprise-level computing, this limitation isn’t just inconvenient—it’s expensive.

That’s where the NVIDIA H200 NVL PCIe 141GB HBM3e Graphics Card changes the equation completely.

This isn’t a consumer GPU. It’s a data center-grade accelerator built for massive AI workloads, ultra-fast memory bandwidth, and extreme computational power. With cutting-edge HBM3e memory and industry-leading Tensor Core performance, the H200 NVL is designed to handle the most demanding applications—from large language models (LLMs) to scientific simulations.

In this article, you’ll understand why this GPU is a breakthrough for AI infrastructure in Bangladesh—and whether it’s the right investment for your needs.

 Understand the Real Need Behind AI & HPC GPUs in Bangladesh

As Bangladesh rapidly adopts AI, machine learning, and big data technologies, the demand for high-performance GPUs is growing fast.

But standard GPUs fall short when it comes to:

  • Training large AI models
  • Running complex simulations
  • Handling massive datasets
  • Achieving real-time inference

Common challenges include:

  • Memory limitations
  • Slow training speeds
  • High latency in inference
  • Inefficient parallel processing

For research labs, startups, and enterprises in Bangladesh, these limitations slow innovation.

The NVIDIA H200 NVL GPU in Bangladesh is built specifically to overcome these barriers.

 How NVIDIA H200 NVL PCIe Solves These Problems

This GPU is engineered for next-generation AI, HPC, and enterprise workloads.

 Massive 141GB HBM3e Memory

With 141GB of HBM3e memory, you get:

  • Ability to train larger AI models
  • Reduced need for data partitioning
  • Faster processing of large datasets

This is crucial for:

  • Large Language Models (LLMs)
  • Deep learning frameworks
  • Scientific computing

 Ultra-High Memory Bandwidth (4.8 TB/s)

The 4.8 TB/s bandwidth ensures:

  • Lightning-fast data transfer
  • Reduced bottlenecks
  • Improved GPU utilization

This is significantly higher than traditional GPUs, making it ideal for data-heavy tasks.

 Extreme AI & Tensor Performance

The H200 NVL delivers unmatched computational power:

  • FP8 Tensor Core: 3,958 TFLOPS
  • FP16 / BFLOAT16: 1,979 TFLOPS
  • TF32 Tensor Core: 989 TFLOPS
  • FP32: 67 TFLOPS
  • FP64: 34 TFLOPS

This translates to:

  • Faster model training
  • Efficient inference
  • Real-time AI processing

 Optimized for AI, ML & HPC Workloads

Perfect for:

  • AI model training & inference
  • Natural Language Processing (NLP)
  • Computer vision
  • Scientific simulations
  • Financial modeling

 Advanced Decoding Capabilities

With 7 NVDEC + 7 JPEG decoders:

  • Efficient video processing
  • High-performance media workflows
  • AI-based video analytics

 Expert Buying Guide for AI GPU in Bangladesh

Before investing in a high-end GPU like the H200 NVL, consider the following:

 Use Case Clarity

  • AI training (LLMs, deep learning)
  • HPC simulations
  • Enterprise-scale data processing

 Memory Requirement

  • Large models require 100GB+ VRAM
  • HBM3e offers superior speed vs GDDR

 Infrastructure Compatibility

  • Requires server-grade systems
  • Ensure PCIe compatibility
  • Proper cooling & power setup

 Performance Needs

  • Tensor performance for AI
  • FP64 performance for scientific workloads

 Budget & ROI

  • High initial cost
  • Long-term efficiency gains justify investment

 Key Features at a Glance

  •  141GB HBM3e ultra-fast memory
  •  4.8 TB/s memory bandwidth
  •  FP8 Tensor Core up to 3,958 TFLOPS
  •  FP16 / BFLOAT16 up to 1,979 TFLOPS
  •  FP32: 67 TFLOPS
  •  FP64: 34 TFLOPS
  •  6016-bit memory interface
  •  7 NVDEC + 7 JPEG decoders
  •  Data center-grade performance
  •  2-year manufacturing warranty

 Why Choose Four Star IT (Trust Section)

When investing in enterprise-grade hardware, choosing the right partner is critical.

Four Star IT delivers reliability, authenticity, and expert support in Bangladesh.

  •  100% genuine NVIDIA hardware
  •  Trusted sourcing for enterprise products
  •  Competitive pricing for bulk & enterprise buyers
  •  Technical consultation for deployment
  •  Reliable warranty support

For businesses and professionals, this means:

  • Reduced risk
  • Better performance ROI
  • Long-term operational stability

Ready to power your AI infrastructure with next-generation performance?

Explore the NVIDIA H200 NVL PCIe GPU and enterprise-grade solutions at Four Star IT — where innovation meets reliability and performance drives the future.

Reviews (0) :

Get specific details about this product from customers who own it.

Write your review

 Bad           Good