Next-Gen AI & HPC Acceleration with 141 GB HBM3e and 4.8 TB/s Bandwidth — Built for Massive Models, Speed & Scalability
- Provisioned in 10 minutes
- 20+ Tier‑1 global data centers
- Unmetered 1/10/25 Gbps bandwidth
- Crypto payments & 24/7 support included
NVIDIA H200 Tensor Core GPU Server Price
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🚀 Key Specifications
- Architecture: NVIDIA Hopper (GH100, 5 nm), successor to H100.
- Memory: 141 GB HBM3e, 4.8 TB/s bandwidth.
- Compute (SXM / NVL):
- FP64: 34 TFLOPS
- TF32 Tensor Core: 989 TFLOPS
- FP16/BF16 Tensor Core: 1,979 TFLOPS
- FP8/INT8 Tensor Core: 3,958 TFLOPS
- FP64: 34 TFLOPS
- Form Factors & TDP:
- SXM: 700 W, NVLink 900 GB/s
- NVL (PCIe): up to 600 W, PCIe Gen 5 ×16
- Interconnects: NVLink for multi-GPU scaling (SXM), PCIe 5.0 (128 GB/s) on NVL.
- Multi-Instance GPU: Supports 7 MIGs (~18 GB each)
⚡ Why Choose H200?
Generational leap
Generational leap over H100: double memory capacity, 2.4× memory bandwidth, ideal for trillion‑parameter LLMs.
Transformer & DPX engines
Transformer & DPX engines for 40× faster dynamic programming and new precision formats.
Petaflop-scale clusters
Petaflop-scale clusters with NVLink/NVSwitch, perfect for large HPC or AI workloads.
Enterprise-ready
Enterprise-ready: secure boot, firmware integrity, included NVIDIA AI Enterprise stack, and 5-year enterprise support.
Seamless integration
Compatible with modern AI/data center stacks, CUDA 12, TensorRT, DLSS, vGPU setups, Kubernetes, and video pipelines.
🎯 Ideal Use Cases
Large-Scale LLM Training & Inference
Optimized for 100B+ parameter models and long-context generation.
Scientific Computing & Simulations
Perfect for CFD, molecular dynamics, and engineering modeling, up to 1.9× faster than A100.
Real-Time Data Analytics & RAG Systems
High throughput support for retrieval-augmented generation and vision/speech AI .
Massive Multi-GPU Supercomputing
Build scalable clusters with NVLink 900 GB/s and NVSwitch for near-linear scaling .
Secure & Multi-Tenant Cloud AI Services
MIG partitions provide hardware isolation for private inference or VDI workloads.
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Deep Dive & FAQs
SXM vs NVL, which to choose?
- SXM offers top-tier performance and memory bandwidth for large AI/HPC clusters.
- NVL (PCIe) easier to integrate, lower TDP, still DL4‑based, and uses PCIe 5.0 support.
Is 700 W TDP supported?
Yes, our data centers are built for high-density, high-power GPU racks.
Can I cluster multiple GPUs?
Absolutely, with NVLink 4.0 and NVSwitch support, you can build pods up to 8 GPUs deep.
Does it support virtualization & MIG?
Yes, MIG partitions and enterprise firmware enable secure multi-tenant deployment.
Supported software stacks?
Comes with NVIDIA AI Enterprise, NIM microservices, TensorRT, CUDA 11/12, PyTorch, TensorFlow, HPC libraries.
Not sure exactly what you need?
No problem! Our talented engineers are here to help!
We will consult, architect, migrate, manage and do whatever it takes to help your business grow and succeed.
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