NVIDIA DGX B300
Eight Blackwell Ultra GPUs, for training and real-time inference.
- GPUs
- 8x Blackwell Ultra
- GPU memory
- 2.1 TB
- Networking
- 800 Gb/s
Price confirmed on your quote
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DGX systems
NVIDIA DGX B200
Eight Blackwell GPUs, for training, fine-tuning and inference.
- GPUs
- 8x Blackwell
- GPU memory
- 1,440 GB
- Networking
- 400 Gb/s
- Size
- 10 RU
Enquiry
Ask about the NVIDIA DGX B200
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Configure this system
Spec it the way you would run it. Pricing comes back on your quote.
- Total GPU memory
- 1,440 GB
Pricing is confirmed on your quote.
Not sure? Talk to a specialist
Overview
The DGX B200 puts eight Blackwell GPUs and 1,440 GB of GPU memory into one 10 RU system, with networking at up to 400 Gb/s. NVIDIA projects 3x the training and 15x the inference performance of the DGX H100.
It is built as one platform for the stages of an AI pipeline, so a team can train, fine-tune and serve models on the same system.
- Made by
- NVIDIA
- Category
- DGX systems
What it’s built for
Training and fine-tuning large language models
Inference for chatbots and recommender systems
Building block for a larger DGX BasePOD or SuperPOD cluster
Specifications
- GPUs8x Blackwell
- GPU memory1,440 GB
- Networking400 Gb/s
- Size10 RU
| GPUs | 8x NVIDIA Blackwell |
|---|---|
| FP4 performance | 144 PFLOPS sparse, 72 PFLOPS dense |
| FP8 performance | 72 PFLOPS sparse, 36 PFLOPS dense |
| NVSwitch | 2x |
| NVLink bandwidth | 14.4 TB/s aggregate |
| GPU memory | 1,440 GB total |
|---|---|
| HBM3e bandwidth | 64 TB/s |
| System memory | 2 TB, configurable to 4 TB |
| Processors | 2x Intel Xeon Platinum 8570 |
|---|---|
| Cores and clock | 112 cores total, 2.1 GHz base, 4 GHz max boost |
| Cluster | 4x OSFP ports serving 8x single-port ConnectX-7 VPI, up to 400 Gb/s InfiniBand or Ethernet |
|---|---|
| Storage and in-band | 2x dual-port QSFP112 BlueField-3 DPU, up to 400 Gb/s InfiniBand or Ethernet |
| Management | 10 Gb/s onboard NIC with RJ45, 100 Gb/s dual-port Ethernet NIC, and host BMC with RJ45 |
| OS | 2x 1.9 TB NVMe M.2 |
|---|---|
| Internal | 8x 3.84 TB NVMe U.2 |
| Power | ~14.3 kW max |
|---|---|
| Rack units | 10 RU |
| Dimensions (H x W x L) | 444 x 482.2 x 897.1 mm |
| Operating temperature | 10-35°C |
| Included | NVIDIA DGX OS / Ubuntu |
|---|---|
| Recommended | NVIDIA AI Enterprise, NVIDIA Mission Control |
| NVIDIA support tier | Three-year Enterprise Business-Standard Support |
| Lead time | Confirmed when we talk |
|---|---|
| Warranty | Confirmed when we talk |
| Support | Confirmed when we talk |
| Installation | Confirmed when we talk |
Specifications come from the NVIDIA DGX B200 datasheet, October 2026. NVIDIA may change them.
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AI Server 8 GPU
Up to eight dual-slot GPUs in a 4U ASUS chassis, for enterprise AI and HPC.
- GPUs, up to
- 8× H200 NVL
- Memory, up to
- 1,536 GB
- Chassis
- 4U ASUS
Price confirmed on your quote
Configure
Frequently asked questions
What does the NVIDIA DGX B200 need on site?
NVIDIA lists power as ~14.3 kW max, rack space as 10 RU, operating temperature as 10-35°C. We can talk through power, cooling and rack space for your site.
How much does the NVIDIA DGX B200 cost?
Every system shows an indicative price in rand, with and without VAT, which changes as you configure it. Your final price is confirmed on your quote.
What are the lead time and warranty?
We confirm lead time, warranty, support and installation when we talk, because they depend on the configuration and your site.
Can you set up the software as well?
Yes. We can deploy open-weight models from our catalogue on your hardware, and build the agents, automation and integrations that run on them.