NVIDIA DGX H200 is 4. generation of the world’s most advanced, purpose-built artificial intelligence and data analytics system. It represents a revolution in enterprise data centres by providing an infrastructure that unifies AI and data analytics applications.
H200 141GB
GPU cores
GPU memory
RAM memory
NVMe for OS
Storage for data
| Parametr | NVIDIA DGX H200 1128 GB |
|---|---|
| GPUs | 8× NVIDIA H200 SXM5 141 GB |
| GPU memory | 1128 GB |
| CPU | Dual Intel Xeon Platinum 8480C CPU, (112 jader) 2.00 GHz (Base), 3.80 GHz (Max Boost) |
| Výkon (FP8 tensor operace) | 32 PetaFLOPS (FP8) |
| # CUDA jader | 135 168 |
| # Tensor jader | 4 224 |
| Multi-instantce GPU | 56 instancí |
| RAM | 2 TB |
| HDD | OS: 2× 1.92 TB NVMe data: 30 TB (8× 3.84 TB) NVMe |
| Network | 8x single-port ConnectX-7 VPI 400 Gb/s InfiniBand/ 200Gb/s Ethernet 2x dual-port ConnectX-7 VPI 400 Gb/s InfiniBand/ 200Gb/s Ethernet |
| Max. spotřeba | ~10,2 kW max |
| Provedení | rack, 8U |
| Technická specifikace | Datasheet |
But what is much more interesting is the aforementioned software features of the offered NVIDIA machines. All of them offer pre-installed and especially performance-tuned machine learning environments (e.g. Caffe or Cafe 2, Theano, TensorFlow, PyTorch, or MXNet) or intuitive data analytics environments (NVIDIA Digits). All neatly packaged in Docker containers, freely downloadable on the NVIDIA GPU Cloud (NGC). Such a tuned environment provides 30% more power for machine learning applications against applications deployed purely on NVIDIA hardware. The main advantage of the pre-installed environment is the deployment speed, which is in units of hours.
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. https://ngc.nvidia.com/
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.
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 available for performance testing and heavy-duty processing.
If you are interested in our testing offer, please fill out this form.
https://mcomputers.cz/wp-content/uploads/2024/08/AMD-reference-UK-Dynamika-mozku-1000-x-1000-px.png
1000
1000
Veronika Pantůčková
https://mcomputers.cz/wp-content/uploads/2024/12/obrazek_2024-12-03_164614578-e1733305217994.png
Veronika Pantůčková2024-08-27 08:57:022024-10-11 13:50:39AMD EPYC™ servers for brain dynamics research
https://mcomputers.cz/wp-content/uploads/2024/04/1711541895654.jpg
658
800
Jitka Bláhová
https://mcomputers.cz/wp-content/uploads/2024/12/obrazek_2024-12-03_164614578-e1733305217994.png
Jitka Bláhová2024-06-21 16:51:052024-12-27 14:42:51Helping to accelerate geolocation projects
https://mcomputers.cz/wp-content/uploads/2024/05/CEITEC_Instalace-serveru_9.5.2024_foto_Dominika-Praskova-NOXmedia_cz-10.jpg
1155
1731
Kamila Jerabkova
https://mcomputers.cz/wp-content/uploads/2024/12/obrazek_2024-12-03_164614578-e1733305217994.png
Kamila Jerabkova2024-05-28 13:11:432024-12-03 12:05:19NVIDIA DGX at CEITEC BUT in Brno
https://mcomputers.cz/wp-content/uploads/2024/04/ThinkPad_Photon_Energy.png
688
875
Jitka Bláhová
https://mcomputers.cz/wp-content/uploads/2024/12/obrazek_2024-12-03_164614578-e1733305217994.png
Jitka Bláhová2024-04-17 11:37:182024-04-17 13:14:56Cooperation with Photon Energy Group – video
![](https://mcomputers.cz/wp-content/uploads/2024/09/Logo-Facebook-128x.png"){kind=logo}
