NVIDIA GB300 Grace Blackwell Ultra Workstation 252GB HBM3E
$82,298.48
NVIDIA GB300 Grace Blackwell Ultra Workstation 252GB HBM3E — 252GB HBM3E GPU memory + 496GB LPDDR5X CPU memory. Enterprise liquid-cooled desktop/workstation AI system for local generative AI development, large-model inference, AI training, scientific computing and deskside enterprise AI. Contact us to confirm current configuration and lead time.
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NVIDIA GB300 Grace Blackwell Ultra Workstation 252GB HBM3E Overview
NVIDIA GB300 Grace Blackwell Ultra Workstation 252GB HBM3E is a liquid-cooled desktop/workstation AI system built for local generative AI development, large-model inference, AI training, scientific computing and deskside enterprise AI. Based on Grace Blackwell Ultra, the configured platform provides 252GB HBM3E GPU memory + 496GB LPDDR5X CPU memory and is intended for organizations deploying serious AI infrastructure rather than a conventional single desktop GPU.
This listing deliberately describes the complete commercial assembly or workstation configuration used for pricing. It should not be interpreted as the price of one loose accelerator. That distinction is important for procurement, Google product accuracy and compatibility planning.
Organizations evaluating the NVIDIA GB300 Grace Blackwell Ultra Workstation 252GB HBM3E should review workload requirements, power and cooling, host-platform validation, networking, software stack, rack or workstation requirements, quantity, support route and lead time. AI Robot Supplier can confirm the required configuration before a formal quotation or proforma invoice is issued.
Key Features
- Enterprise AI platform: designed for local generative AI development, large-model inference, AI training, scientific computing and deskside enterprise AI.
- High-capacity accelerator memory: 252GB HBM3E GPU memory + 496GB LPDDR5X CPU memory.
- Modern accelerator architecture: Grace Blackwell Ultra.
- System-level deployment: this product is sold as the named multi-accelerator assembly or workstation configuration, not as a generic loose GPU.
- Pre-order validation: exact part numbers, included hardware, warranty route, shipping and lead time can be confirmed before payment.
System-level AI performance depends on more than accelerator specifications. CPU architecture, host memory, storage throughput, interconnect topology, Ethernet or InfiniBand fabric, chassis thermal design and framework support can materially change workload throughput. Buyers planning production AI infrastructure should validate the complete system against the intended model sizes and concurrency targets.
NVIDIA GB300 Grace Blackwell Ultra Workstation 252GB HBM3E Applications
The NVIDIA GB300 Grace Blackwell Ultra Workstation 252GB HBM3E is designed for local generative AI development, large-model inference, AI training, scientific computing and deskside enterprise AI. Typical deployments include private AI infrastructure, enterprise model serving, research clusters, scientific workloads and advanced generative AI development where large accelerator-memory capacity and high-bandwidth compute are important.
AI Training and Inference
Multi-accelerator systems can support large models and higher concurrency than a typical workstation GPU, but actual results depend on precision, framework versions, batch size, model architecture, networking and software optimization. Confirm support for your intended framework and model before procurement.
HPC and Research
For HPC and scientific workloads, verify application support for the relevant accelerator ecosystem and ensure the system’s CPU, storage, networking and cooling design match the workload profile.
Enterprise Deployment
Production deployments should include capacity planning for power, rack space or workstation installation, network fabric, redundancy, support and future scaling. For quantity orders, provide the intended deployment environment when requesting a quotation.
NVIDIA GB300 Grace Blackwell Ultra Workstation 252GB HBM3E Specifications
| Brand | NVIDIA |
|---|---|
| Architecture | Grace Blackwell Ultra |
| Memory | 252GB HBM3E GPU memory + 496GB LPDDR5X CPU memory |
| Product class | liquid-cooled desktop/workstation AI system |
| Superchip | 1 × NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip |
| GPU | 1 × Blackwell Ultra GPU |
| CPU | 72-core Arm Neoverse V2 NVIDIA Grace CPU |
| GPU Memory | 252GB HBM3E |
| CPU Memory | 496GB LPDDR5X |
| Networking | 2 × 400Gb/s QSFP112 via NVIDIA ConnectX-8 SuperNIC |
| Storage | 2 × 1TB + 2 × 2TB NVMe M.2 in referenced configuration |
| Power Supply | 1600W |
| Cooling | Direct-to-chip / liquid-cooled workstation design |
| Availability | Contact AI Robot Supplier to confirm current commercial availability and lead time. |
Configuration note: specifications above describe the referenced commercial system or baseboard configuration. OEM revisions, cooling options, storage, CPU, networking and accessories can vary. Final order specifications should be confirmed on the quotation or proforma invoice.
Compatibility and Deployment
This is enterprise infrastructure and should not be treated as a plug-and-play consumer graphics card. Confirm chassis or rack requirements, accelerator baseboard support, power distribution, cooling, firmware, operating-system support, drivers, management software and network architecture before ordering.
For multi-accelerator systems, also review scale-up and scale-out interconnects, host NUMA topology, storage throughput and cluster orchestration. If integrating into an existing data center, provide the intended rack, power, cooling and network environment for a compatibility review.
NVIDIA GB300 Grace Blackwell Ultra Workstation 252GB HBM3E Price and Ordering
The regular price on this product page is based on a verified current commercial reference for the complete named configuration, discounted for AI Robot Supplier. It is not derived by dividing a multi-GPU system price into an invented single-GPU price.
Because high-end AI infrastructure pricing and inventory can change quickly, customers should request confirmation before payment, especially for multiple units. A formal quotation can specify exact configuration, condition, quantity, warranty, delivery destination and estimated lead time.
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Manufacturer information: NVIDIA product documentation.
NVIDIA GB300 Grace Blackwell Ultra Workstation 252GB HBM3E FAQ
Is this price for one GPU?
No. This page is intentionally priced as the exact multi-accelerator assembly or complete workstation named in the product title.
Can this system be used for large language models?
It is designed for enterprise AI workloads, including supported LLM training or inference. Practical model capacity and throughput depend on framework, precision, memory usage and system configuration.
Can I order multiple systems?
Yes. Quantity orders should be confirmed through a formal quotation because enterprise hardware inventory and lead times can change quickly.
What information is needed before ordering?
Provide the required quantity, destination, target workload and any rack, networking, storage or support requirements so the exact configuration can be confirmed.
Does the listed price include shipping and taxes?
Unless explicitly stated on the final quotation, shipping, taxes, import duties and optional integration services are separate and depend on destination.
Why is configuration confirmation important?
Enterprise AI products can have multiple cooling, baseboard, networking and OEM variants. Confirming the exact configuration reduces compatibility and procurement errors.
