The NVIDIA H200 GPU features 141GB of HBM3e memory with 4.8 TB/s bandwidth, nearly double the H100’s 80GB HBM3. This capacity enables 2X faster LLM inference and supports massive models like Llama 3.2 90B. WECENT, a trusted IT equipment supplier, provides authentic H200 units integrated into Dell PowerEdge XE9680 servers for enterprise AI, HPC, and data-intensive workloads.
What Is H200 GPU Memory Capacity?
H200 offers 141GB of HBM3e memory, a 76% increase over H100’s 80GB, using six high-density stacks to handle large AI models without offloading. This allows trillion-parameter LLMs to run entirely on GPU memory, ideal for generative AI and HPC tasks. WECENT provides H200 units integrated with HPE ProLiant DL380 Gen11 servers for scalable clusters, supporting multi-tenant workloads with up to seven MIG partitions at 16.5GB each.
| H200 Memory Specs | Details |
|---|---|
| Capacity | 141GB HBM3e |
| Bandwidth | 4.8 TB/s |
| Stacks | 6 x 24GB |
| vs H100 | 1.76X capacity |
WECENT customizes servers for finance, healthcare, and research, optimizing FP8 precision workloads.
Why Does H200 Memory Matter for AI?
H200’s 141GB memory with 4.8 TB/s bandwidth reduces LLM inference latency by 2X and enables models like Llama 2 70B to run fully in-GPU. Higher memory density minimizes data movement, boosting training throughput by 1.9X and accelerating simulations up to 110X versus CPU-only systems. WECENT integrates H200 in cloud computing and virtualization platforms, including Lenovo ThinkSystem servers, while energy-efficient design lowers TCO despite a 700W TDP.
How Does H200 Memory Compare to H100?
H200 doubles H100 memory from 80GB HBM3 to 141GB HBM3e and increases bandwidth by 1.4X, delivering 2X faster LLM inference.
| GPU | Memory | Bandwidth | Inference Gain |
|---|---|---|---|
| H100 | 80GB HBM3 | 3.35 TB/s | Baseline |
| H200 | 141GB HBM3e | 4.8 TB/s | 2X LLMs |
H200 is optimized for memory-bound tasks, and WECENT provides migration paths via Dell R760xa and XE9680 server bundles.
What Are H200 GPU Memory Use Cases?
H200 supports AI, HPC, and data-intensive applications requiring massive memory capacity:
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Large language model training and inference
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Multimodal AI research
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Genomics and drug discovery simulations
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Climate modeling and scientific simulations
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Video generation pipelines
WECENT deploys H200 in Huawei, Dell, and Lenovo servers with NVLink for multi-GPU scaling, ensuring enterprise-ready performance.
Where to Buy H200 GPUs with 141GB Memory?
Authorized resellers like WECENT provide genuine H200 GPUs with full manufacturer warranties, compatible with Dell PowerEdge XE9680, HPE DL560 Gen11, and Lenovo ThinkSystem servers. WECENT offers global stock, OEM customization, installation, and support. Avoid gray-market resellers to ensure reliability and compliance for SXM or PCIe variants.
How to Integrate H200 Memory in Servers?
H200 integration requires 4U+ rack servers with liquid cooling for 700W TDP, NVLink bridges for 900 GB/s interconnect, and proper software configuration (CUDA 12+, cuDNN, NCCL). WECENT delivers turnkey solutions including PowerVault ME5 storage, H3C or Cisco switches, and multi-GPU orchestration.
| Integration Steps | Key Actions |
|---|---|
| Hardware | PCIe Gen5 slots, 10kW PSU |
| Software | CUDA, cuDNN, NCCL |
| Cooling | Direct-to-chip liquid |
| Testing | MLPerf or custom benchmarks |
WECENT ensures smooth deployment and optimized AI infrastructure.
Which Servers Maximize H200 Memory?
Top servers for H200 include Dell PowerEdge XE9680 (8x H200), HPE ProLiant DL380 Gen11, Lenovo SR675 V3, and Supermicro SYS-821GE-TNHR. These HGX platforms scale to exaFLOPS-level performance. WECENT delivers OEM-customized configurations with NDR InfiniBand and high-density NVLink bridges to fully leverage 141GB memory.
What Makes WECENT Ideal for H200 Supply?
WECENT has over 8 years of experience as an IT equipment supplier, authorized for NVIDIA, Dell, and HP. They provide original H200 GPUs, customized server deployments, global delivery, and end-to-end lifecycle support. WECENT ensures compliance, warranty coverage, and tailored AI solutions for enterprise, healthcare, and finance applications.
WECENT Expert Views
“H200’s 141GB HBM3e memory enables on-premises deployment of trillion-parameter models, cutting inference times by half. At WECENT, we’ve integrated H200 GPUs into HPE DL360 Gen11 clusters, achieving 2X faster AI inference compared to H100. Our Lenovo and Huawei rack solutions optimize NVLink and power efficiency, reducing total cost by up to 30%. Enterprises upgrading to H200 experience accelerated AI workloads with reliable performance. WECENT ensures turnkey deployment, from hardware integration to multi-GPU orchestration.”
— Dr. Li Wei, WECENT CTO
Why Choose HBM3e in H200 Over HBM3?
HBM3e provides 24GB stacks versus HBM3’s 16GB, doubling density to 141GB and increasing bandwidth by 43%. It supports FP8/INT8 workloads at 4 petaFLOPS, ideal for memory-intensive AI applications. WECENT stocks H200 for scalable, future-proof deployments.
Can H200 Memory Handle Enterprise AI?
Yes, 141GB memory enables secure multi-tenant operations using Confidential Computing and scales to 8-way HGX setups with 1.1TB aggregate memory. WECENT integrates H200 in PowerScale and storage-heavy deployments for large enterprises.
Key Takeaways and Actionable Advice
H200’s 141GB HBM3e memory delivers 2X AI performance gains. Enterprises should source from authorized suppliers like WECENT for custom Dell/HPE integrations. Plan for cooling, NVLink interconnects, and complete server stacks. Evaluate model sizes and deployment requirements, then leverage WECENT’s expertise for optimized, reliable, end-to-end AI solutions.
FAQs
What is H200 GPU memory type?
HBM3e, 141GB capacity, 4.8 TB/s bandwidth.
Is H200 memory bigger than H100?
Yes, 141GB versus 80GB, 1.76X increase for larger models.
Does H200 support MIG with 141GB?
Yes, up to seven instances at 16.5GB each.
Can WECENT customize H200 servers?
Yes, including Dell PowerEdge R7725 or HPE ML110 Gen11 with full support.
What is H200 memory bandwidth?
4.8 TB/s, 1.4X higher than H100’s 3.35 TB/s.