The NVIDIA DGX B200 is nvidia’s sixth generation rackmount supercomputer for training artificial intelligence and machine learning models. It provides a versatile platform built on the world’s most powerful graphics chip.
B200 180GB
TSMC N4P transistors
GPU memory
RAM
NVMe for OS
NVMe for data
| Parametr | NVIDIA DGX B200 |
|---|---|
| GPU | 8x NVIDIA B200 |
| GPU Memory | 8x 180GB HBM3e (1440 GB celkem)* |
| CPU | až 2x Intel Xeon Platinum 8570 2.1 GHz (56 jader)* |
| Výkon FP8/INT8 Tensor | 72 petaFLOPS |
| # CUDA jader | TBA |
| # Tensor jader | TBA |
| RAM | až 4TB DDR5 |
| Úložiště | OS: 2x 1.9TB NVMe M.2 Storage: 8x 3.84TB NVMe U.2 |
| Síť | 4x OSFP pro 8x single-port NVIDIA ConnectX-7 VPI (400Gb/s InfiniBand/Ethernet) 2x dual-port QSFP112 NVIDIA BlueField-3 DPU (400Gb/s InfiniBand/Ethernet) |
| Max. spotřeba | ~ 14.3 kW |
| Formát | 10U rack |
* the exact details are not yet known, specific configuration and offer will be added.
Comparison of previous and current generation DGX stations in several tasks to show the significant performance gains in some applications.
Included with virtually every NVIDIA device, whether it’s a compact AI workstation or a supercomputer at the scale of an entire data center, is the extensive but intuitive NVIDIA AI Enterprise software suite. With the various features and settings that this software brings, you’ll have a perfectly optimized environment on your device for machine learning, data analytics, or working with AI models as they are trained, inferenced, and ultimately tested and deployed. Libraries and tools such as Cafe 2, Theano, TensorFlow, PyTorch or MXNet are also ready for these purposes, and more are no problem to get from the portal NVIDIA GPU Cloud (NGC). Thanks to careful tuning and optimization, such an environment provides up to 30% higher performance for Machine Learning applications compared to those deployed on NVIDIA hardware alone, according to NVIDIA.
NVIDIA NIM™ provides containers for self-hosting GPU-accelerated inference microservices for pre-trained and customized AI models across clouds, datacenters, RTX™ AI PCs and workstations. NIM microservices expose industry standard APIs for easy integration into AI applications, frameworks and workflows. They are built on optimized inference engines from NVIDIA and the community, including NVIDIA TensorRT™ and TensorRT-LLM. NIM microservices optimize response latency and throughput for every combination of foundation model and GPU.
NVIDIA NeMo™ is an end-to-end platform for the development of custom generative AI, including language models (LLMs), computer vision language models (VLMs), retrieval models, video models, and AI for voice processing.
With NeMo, you can easily create a “data flywheel” to continuously optimize and improve AI agents with the latest information. NeMo accelerates the data flywheel by curating AI and human feedback, refining and evaluating models, and deploying with retrieval-augmented generation (RAG) to ensure agents consistently achieve peak performance.
NVIDIA GPU Cloud (NGC) represents the repository of the most used frameworks for machine learning and deep learning applications, HPC applications, or NVIDIA GPU cards accelerated visualization. Deploying these applications is a question minutes — copying a link of the appropriate Docker image from the NGC repository, moving it on the DGX system, and downloading and running the Docker container. The individual development environments – versions of all included libraries and frameworks, settings of environment parameters – are updated and optimized by NVIDIA for deployment on DGX systems.
The strength of the NVIDIA solution is to support the entire system. Hardware support (in case of failure of any of the components) is a matter of course. Software support for the entire environment is critical if something does not work as intended. The customer has hundreds of developers ready to help. Support is part of NVIDIA DGX purchase. It is available for 3 – 5 years and can be further extended at the end of that period.
Repair by a technician at the customer’s siteYou get professional service right at your doorstep. A technician will arrive on-site, perform a diagnosis, and make the repair quickly and efficiently.
Remote diagnosticsQuick remote assistance. Our specialists will connect to your device and perform diagnostics and repairs without the need for a personal visit.
Extended software supportProvides longer access to updates, bug fixes and software enhancements. Your device stays up-to-date and protected even after warranty.
Direct contact to NVIDIA supportDon’t hesitate to communicate with the NVIDIA team of experts. Quick answers, technical assistance and advice tailored to your needs.
Latest updates and upgradesGet access to the latest software and firmware releases that improve performance, security and add new device features.
Private NCC storage and softwareSecure and private storage for your software and data. Quick access to download tools and documentation from within the NVIDIA environment.
NVIDIA offers special programs for DGX systems and Tesla accelerators for EDU organizations or start-up companies. Thanks to the international collaboration between NVIDIA and IBM Global Financing, preferential financing in the form of operating leases is available for DGX models.
Last year, it was the first company in Central and Eastern Europe to receive the highest ELITE PARTNER status, as well as two NVIDIA AI Innovator and NVIDIA AI Champion awards.
The NVIDIA Deep Learning Institute (DLI) offers both online and hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing.
We have a wide range of NVIDIA GPU cards and other NVIDIA systems available to test performance and process demanding tasks.
If you are interested in our testing offer, please fill out this form.
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