NVIDIA DGX H200 8-GPU AI System
$282,375.00
NVIDIA DGX H200 8-GPU for sale: NVIDIA DGX H200 enterprise AI system with eight H200 141GB SXM5 GPUs, 1.128TB aggregate HBM3e, dual Intel Xeon CPUs, 2TB system memory and high-speed NVLink/NVSwitch. Check current price, exact configuration, compatibility and international shipping.
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NVIDIA DGX H200 8-GPU for sale: NVIDIA DGX H200 enterprise AI system with eight H200 141GB SXM5 GPUs, 1.128TB aggregate HBM3e, dual Intel Xeon CPUs, 2TB system memory and high-speed NVLink/NVSwitch.
Confirm exact configuration, current availability, warranty route and destination-specific shipping before payment.
NVIDIA DGX H200 8-GPU overview
NVIDIA DGX H200 8-GPU is positioned for professional accelerated-computing buyers who need exact configuration clarity rather than a thin catalogue listing. Key confirmed specification points for this listing include GPU Configuration: 8 x NVIDIA H200 141GB SXM5; Aggregate GPU Memory: 1,128GB HBM3e; GPU Memory Bandwidth: 4.8 TB/s per GPU; GPU Interconnect: NVIDIA NVLink / NVSwitch, up to 900 GB/s GPU-to-GPU.
For a complete AI system, real-world throughput depends on accelerator precision, GPU-to-GPU fabric, host CPU and memory, storage throughput, network fabric and the software stack.
NVIDIA DGX H200 8-GPU price and availability
The current listed price is $282375.0. Because high-value AI hardware can change with memory, CPU, networking, region, lead time and supplier availability, request written confirmation of the exact configuration before placing a purchase order.
Why buyers consider NVIDIA DGX H200 8-GPU
- Enterprise-class platform intended for professional AI, HPC or accelerated-computing workflows.
- Configuration can be evaluated against memory, interconnect, power, cooling and software requirements before purchase.
- Suitable for B2B, institutional, research and data-center procurement where documentation and deployment planning matter.
- AI Robot Supplier can document the quoted model, destination, shipping terms and applicable warranty/support route before order approval.
NVIDIA DGX H200 8-GPU specifications
| GPU Configuration | 8 x NVIDIA H200 141GB SXM5 |
|---|---|
| Aggregate GPU Memory | 1,128GB HBM3e |
| GPU Memory Bandwidth | 4.8 TB/s per GPU |
| GPU Interconnect | NVIDIA NVLink / NVSwitch, up to 900 GB/s GPU-to-GPU |
| CPU Configuration | 2 x Intel Xeon 8480C, 56 cores each |
Configuration note: manufacturer options, board revisions and OEM server configurations can change. The written quotation should identify the final supplied model and bill of materials.
Real-world performance and deployment
For a complete AI system, real-world throughput depends on accelerator precision, GPU-to-GPU fabric, host CPU and memory, storage throughput, network fabric and the software stack.
Do not interpret theoretical TOPS, TFLOPS or bandwidth figures as guaranteed application performance. Model architecture, precision, framework, drivers, batching, data pipeline and network topology can materially change production results.
Software, controller and connectivity
Use the manufacturer-supported driver, firmware and management stack for the exact platform. For clustered AI systems, confirm Ethernet or InfiniBand fabric requirements, management interfaces and orchestration compatibility before deployment.
Power, cooling and operating environment
This is not plug-and-play office IT. Confirm facility power, cooling, rack space, fabric design and installation requirements before purchase.
Commercial, research and industrial use cases
- Large-language-model training, fine-tuning or inference where supported by the platform.
- Private enterprise AI and controlled on-premises model deployment.
- University, laboratory and scientific-computing infrastructure.
- GPU-accelerated analytics, simulation, rendering or engineering workloads where applicable.
- Multi-node or rack-scale AI clusters for qualified system platforms.
Limitations and buyer considerations
This is not plug-and-play office IT. Confirm facility power, cooling, rack space, fabric design and installation requirements before purchase.
- Confirm physical form factor, power and cooling before purchase.
- Confirm exact software/driver support and licensing requirements.
- Do not assume accessories, bridges, rails, cables or deployment services are included unless the quotation says so.
- For exported equipment, destination regulations, taxes and import requirements can vary.
Who should buy NVIDIA DGX H200 8-GPU?
Choose this platform when the named configuration matches a serious production AI, research or HPC requirement and you need a documented enterprise bill of materials.
Who should choose another version?
Choose NVIDIA DGX B200 instead when its generation, memory architecture, form factor or vendor ecosystem is a better fit.
NVIDIA DGX H200 8-GPU vs NVIDIA DGX B200
| Buying question | NVIDIA DGX H200 8-GPU | NVIDIA DGX B200 |
|---|---|---|
| Best fit | Buy when this exact architecture and configuration matches your validated deployment. | Consider when the alternative architecture, memory, form factor or ecosystem better matches the project. |
| Main decision | DGX B200 is the newer Blackwell system; DGX H200 provides Hopper maturity with 1.128TB aggregate HBM3e. | |
| Before ordering | Compare exact SKU, memory, interconnect, power, cooling, software support, warranty and delivered BOM—not only headline performance. | |
What’s included
The final quotation should identify the complete configured server or rack, installed accelerators, CPUs, memory, storage, networking, power components, rails, documentation and support scope.
NVIDIA DGX H200 8-GPU shipping and import considerations
For international orders, confirm Incoterms, insured freight, packaging, destination taxes/duties, import documentation, receiving requirements and any export restrictions that apply to the exact hardware and destination.
Read the AI Robot Supplier shipping policy and contact the sales team for destination-specific terms.
Warranty and support
Warranty should be stated for the specific unit or configured system. Confirm whether service is provided by the manufacturer, OEM, distributor or seller and whether onsite, return-to-base or parts replacement applies.
Buying checklist
- Exact manufacturer model / SKU
- New, open-box or other stated condition
- Accelerator and memory configuration
- CPU, system RAM, storage and networking where applicable
- Power, cooling and rack compatibility
- Driver, firmware and software support
- Included accessories and licenses
- Warranty/support route
- Lead time, insured shipping and destination import requirements
Technical resources and related buying guides
NVIDIA DGX H200 8-GPU FAQ
What is the current NVIDIA DGX H200 8-GPU price?
The current page price is $282375.0. Confirm current availability and the exact configuration in writing before ordering.
Where can I buy NVIDIA DGX H200 8-GPU?
AI Robot Supplier lists this model for professional procurement. For high-value configurations, request written confirmation of the exact SKU, lead time, warranty and shipping terms.
What specifications should I verify before buying?
Verify memory, form factor, accelerator count, interconnect, CPU/system memory where applicable, power, cooling, software support and the exact included bill of materials.
Does the listed price include international shipping?
Do not assume international freight, taxes or import duties are included unless the quotation explicitly states them. Shipping is destination and product specific.
Is this a hands-on review?
No. This page is a technical buying guide and product analysis based on manufacturer documentation and procurement-focused research, not a claim of hands-on testing.
Buy NVIDIA DGX H200 8-GPU or request a quote
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