NVIDIA DGX B200 8-GPU Servers with NVIDIA Blackwell GPUs: Special Stock Offer
- Aug 12
- 5 min read
We have NVIDIA DGX B200 servers with 8× NVIDIA Blackwell GPUs, 1,440GB total GPU memory, dual Intel Xeon Platinum 8570 processors, 2TB system memory, NVMe storage, NVIDIA NVSwitch, ConnectX-7 networking, BlueField-3 DPUs, and NVIDIA AI software stack in stock, ready to ship.
NVIDIA DGX B200 8-GPU Server
Limited Stock At Special Pricing
Configuration Overview: NVIDIA DGX B200 with 8× NVIDIA Blackwell GPUs
The NVIDIA DGX B200 is designed for organizations that need dense GPU compute, large GPU memory capacity, high-bandwidth GPU interconnect, strong CPU support, and enterprise AI infrastructure.
This configuration includes:
NVIDIA DGX B200 server model
NVIDIA DGX B200 8-GPU system
8× NVIDIA Blackwell GPUs
1,440GB total GPU memory
64TB/s HBM3e GPU memory bandwidth
2× NVIDIA NVSwitch
14.4TB/s aggregate NVLink bandwidth
2× Intel Xeon Platinum 8570 processors
112 CPU cores total
2TB system memory, configurable up to 4TB
2× 1.9TB NVMe M.2 OS storage
8× 3.84TB NVMe U.2 internal storage
NVIDIA AI Enterprise
NVIDIA Mission Control with NVIDIA Run:ai technology
NVIDIA DGX OS / Ubuntu
10U system chassis
Three-year Enterprise Business-Standard Support for hardware and software
The system offers a strong foundation for AI model training, large language model workloads, inference, HPC, GPU-accelerated analytics, and enterprise AI infrastructure.
Full Configuration: NVIDIA DGX B200
Base System: NVIDIA DGX B200 10U Server
Component | Details | Why it matters |
Server Model | NVIDIA DGX B200 | Identifies the complete NVIDIA AI server platform |
GPU Assembly | NVIDIA DGX B200 8-GPU system | Provides dense GPU compute in one integrated system |
Rack Units | 10U | Helps buyers plan rack space before deployment |
Condition | Not specified | Final condition can be confirmed during quotation |
Quantity | Not specified | Final stock quantity can be confirmed during quotation |
The NVIDIA DGX B200 is suitable for buyers who need an enterprise NVIDIA Blackwell GPU server for AI, HPC, and accelerated computing environments.
GPU Platform: 8× NVIDIA Blackwell GPUs
Component | Details | Why it matters |
GPU | 8× NVIDIA Blackwell GPUs | Provides dense acceleration for AI and HPC workloads |
Total GPU Memory | 1,440GB | Supports large AI models, large datasets, and memory-heavy GPU workloads |
GPU Memory Bandwidth | 64TB/s HBM3e bandwidth | Supports high-throughput GPU data movement |
NVIDIA NVSwitch | 2× NVIDIA NVSwitch | Supports high-bandwidth GPU-to-GPU communication |
NVLink Bandwidth | 14.4TB/s aggregate bandwidth | Important for multi-GPU AI training and large model workloads |
The 8-GPU NVIDIA Blackwell configuration makes this DGX B200 suitable for large language models, deep learning, multi-GPU training, GPU-accelerated analytics, and enterprise AI infrastructure.
CPUs: 2× Intel Xeon Platinum 8570
Component | Details | Why it matters |
CPU Model | 2× Intel Xeon Platinum 8570 | Provides host compute for the GPU platform |
CPU Core Count | 112 cores total | Supports CPU-side processing, data preparation, and system orchestration |
Base Frequency | 2.1GHz | Supports reliable server workload performance |
Max Boost Frequency | Up to 4.0GHz | Supports higher frequency operation when required |
Processor Configuration | Dual CPU configuration | Helps balance GPU workloads, data handling, and infrastructure tasks |
This CPU configuration supports GPU feeding, data movement, workload coordination, and enterprise infrastructure tasks around the NVIDIA DGX B200 platform.
Memory: 2TB System Memory
Component | Details | Why it matters |
Installed Memory | 2TB system memory | Provides large system memory capacity for AI and HPC workloads |
Maximum Configurable Memory | Configurable up to 4TB | Gives buyers a higher memory planning option |
Memory Use Case | AI, HPC, and large dataset workloads | Supports data-heavy workloads alongside GPU acceleration |
This memory configuration is suitable for AI training pipelines, large datasets, HPC workloads, and enterprise AI applications that require large system memory capacity.
Storage Configuration: NVMe M.2 and NVMe U.2
Component | Details | Why it matters |
OS Storage | 2× 1.9TB NVMe M.2 | Provides fast storage for operating system deployment |
Internal Storage | 8× 3.84TB NVMe U.2 | Provides high-speed local storage for workloads and datasets |
Storage Type | NVMe | Supports fast local data access for AI and HPC workloads |
Storage Use Case | OS, local datasets, scratch space, and workload storage | Helps support high-performance AI infrastructure planning |
The NVMe storage configuration makes this NVIDIA DGX B200 suitable for fast local workload storage, AI datasets, training pipelines, and operating system deployment.
PCIe Expansion
Component | Details | Why it matters |
PCIe / Expansion Details | Not separately specified in the provided stock details | Final expansion layout can be confirmed during quotation |
Expansion Use Case | Networking, storage, and accelerator-related infrastructure | Useful for data center integration planning |
Configuration Status | To be confirmed from final system inspection | Helps buyers verify compatibility before deployment |
The expansion configuration should be confirmed before purchase if the system will be integrated with additional adapters, storage controllers, or specific data center connectivity requirements.
Power & Cooling
Component | Details | Why it matters |
System Power Usage | ~14.3kW max | Helps buyers plan rack power and data center capacity |
Operating Temperature | 10–35°C / 50–90°F | Helps buyers plan the operating environment |
Cooling Configuration | Not specified in the provided stock details | Final cooling details can be confirmed during quotation |
Thermal Planning | Required for 10U 8-GPU DGX deployment | Helps buyers prepare rack, airflow, and facility requirements |
This power and cooling information is important for data center planning because the NVIDIA DGX B200 is a dense 10U AI server platform with high power and thermal requirements.
Platform Overview: NVIDIA DGX B200
The NVIDIA DGX B200 is designed for organizations that need:
8× NVIDIA Blackwell GPU acceleration
1,440GB total GPU memory
64TB/s HBM3e GPU memory bandwidth
NVIDIA NVSwitch and NVLink GPU interconnect
Dual Intel Xeon Platinum host processors
2TB system memory, configurable up to 4TB
NVMe M.2 OS storage
NVMe U.2 internal workload storage
NVIDIA ConnectX-7 networking
NVIDIA BlueField-3 DPU support
NVIDIA AI Enterprise software
NVIDIA DGX OS / Ubuntu
10U enterprise AI server deployment
This server platform is a good fit for AI infrastructure teams, research groups, data center buyers, and enterprise IT teams looking to deploy NVIDIA Blackwell GPU systems for accelerated computing.
Use Cases: NVIDIA DGX B200 with 8× NVIDIA Blackwell GPUs
AI model training
Large language model workloads
Deep learning infrastructure
AI inference workloads
High-performance computing
GPU-accelerated analytics
Research computing
Enterprise AI platform deployment
Distributed training environments
Data center GPU infrastructure
Multi-GPU workload development
AI infrastructure standardization
The NVIDIA DGX B200 configuration makes this server useful for organizations that need dense GPU compute, high GPU memory capacity, strong NVLink bandwidth, large system memory, and high-speed networking in a 10U platform.
Testing, Condition, and Warranty: NVIDIA DGX B200 8-GPU Server
Condition
Stock server configuration
Hardware details based on available configuration information
Final power, cooling, PCIe, and storage layout details can be confirmed during quotation
Testing Includes
GPU platform inspection
CPU, memory, and system checks
Flash storage verification
PCIe / expansion configuration inspection where applicable
Power and cooling configuration inspection where applicable
Basic server hardware validation
Warranty
Warranty information available on request
Additional support options may be available depending on stock and configuration
Final warranty terms confirmed during quotation
FAQ: NVIDIA DGX B200 8-GPU Server
What is the NVIDIA DGX B200 used for?
The NVIDIA DGX B200 is used for AI training, large language models, deep learning, AI inference, HPC, GPU-accelerated analytics, research computing, and enterprise AI infrastructure.
How many GPUs are included in the NVIDIA DGX B200?
This NVIDIA DGX B200 configuration includes 8× NVIDIA Blackwell GPUs with 1,440GB total GPU memory and 64TB/s HBM3e GPU memory bandwidth.
What CPUs are included in this NVIDIA DGX B200 server?
This configuration includes 2× Intel Xeon Platinum 8570 processors with 112 total CPU cores, 2.1GHz base frequency, and up to 4.0GHz max boost.
What storage is included in this NVIDIA DGX B200?
This NVIDIA DGX B200 includes 2× 1.9TB NVMe M.2 drives for OS storage and 8× 3.84TB NVMe U.2 drives for internal storage.
Where can I buy NVIDIA DGX B200 servers in Europe?
You can request a quote from server-parts.eu for NVIDIA DGX B200 servers, NVIDIA Blackwell GPU servers, 8-GPU AI servers, DGX AI systems, HPC servers, and related data center hardware.
NVIDIA DGX B200 8-GPU Server
Limited Stock At Special Pricing






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