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Veronika Pantůčková2024-03-28 07:15:142024-04-04 15:52:08NVIDIA GTC 2024 Watch
Nvidia solutions for AI
Whole solutions to artificial intelligence problems, tools, libraries, APIs, or even pre-trained models for data scientists, developers and specialists for various areas of artificial intelligence deployment. Comprehensive platform for artificial intelligence and data analysis – NVIDIA AI Enterprise.
NVIDIA Virtual GPU (vGPU)
NVIDIA Virtual GPU (vGPU) software enables virtualization and partitioning of GPU performance so that a single GPU card is shared between multiple virtual machines. At the same time, multiple GPUs can be assigned to a single virtual machine, which opens up the possibilities of processing even extremely computationally intensive tasks. NVIDIA vGPUs offer a wide range of uses – from virtual desktops and high-performance virtual workstations to virtual servers for data science and AI.
CUDA-X AI
CUDA-X HPC
NVIDIA software
Nvidia’s success in accelerating scientific applications and artificial intelligence tasks on graphics cards is mainly due to the CUDA (Compute Unified Device Architecture) platform. CUDA was introduced in 2007. It now includes dozens of libraries optimized for HPC applications (CUDA-X HPC) and AI (CUDA-X AI) under the designation CUDA-X. CUDA-X HPC includes libraries for parallel algorithms, linear algebra, image or signal processing. CUDA-X AI latest libraries for machine learning, training and inference of neural networks, or data analytics. A RAPIDS environment is available for data scientists for machine learning.
The CUDA platform can be operated on servers, workstations or in the cloud. The CUDA platform, individual libraries, or entire frameworks can be downloaded as a Docker image from the NVIDIA GPU Cloud (NGC).
NVIDIA offers special programs for DGX systems and Tesla accelerators for EDU organizations or start-up companies.
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.
Nvidia DGX-2 at IT4Innovations
We delivered DGX-2 supercomputer to IT4Innovations, National Supercomputing Center VSB in Ostrava. It was the first DGX-2 system delivered in the Central and Eastern Europe region.
Testing
We have the DGX Station available to test performance and especially the speed of deployment of ML and AI applications. Thanks to the Tesla Test Drive program we also have 2 x Tesla V100 for testing. If you are interested in our testing offer, please fill out this form.
Awards
Our company is one of the most important partners of Nvidia in Europe. For the sale of DGX systems, we have received the AI Innovator Nvidia award for 2019 under the AI Champion program.
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Veronika Pantůčková2024-03-28 07:15:142024-04-04 15:52:08NVIDIA GTC 2024 Watch
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Veronika Pantůčková2023-09-18 09:47:082023-09-25 15:07:08Barbecue event with a portion of news from HPC and AI – presentation for download
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Kamila Jerabkova
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Kamila Jerabkova2023-06-14 21:59:562023-07-10 07:31:54Ansys User Conference 2023
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Kamila Jerabkova
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Kamila Jerabkova2023-05-29 22:05:122023-07-07 13:27:53Masaryk University operates the most advanced AI computing system
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Veronika Pantůčková2022-12-13 12:44:272023-10-23 07:58:51AI DAYS 2022
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Kamila Jerabkova2022-04-02 16:18:242022-07-25 11:55:59Hopper architecture and other news from NVIDIA GTC22
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Kamila Jerabkova2022-03-18 12:15:192022-03-22 16:00:48Researchers from the University of Ostrava train AI on the NVIDIA system
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Petr Plodík
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Petr Plodík2022-01-30 16:37:262022-04-08 09:53:49NVIDIA DGX Station A100 unboxing
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Veronika Pantůčková2021-03-31 21:45:222021-04-03 14:39:10We’ve joined Brno.AI
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Kamila Jerabkova
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Kamila Jerabkova2021-03-18 10:22:522021-03-18 13:22:24Experience NVIDIA GTC 2021
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Kamila Jerabkova2020-10-09 16:30:462021-04-20 19:02:16Fall GTC 2020 Announcements
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Veronika Pantůčková2020-09-24 12:30:422020-09-24 13:35:47Invitation: NVIDIA’s GPU Technology Conference
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Kamila Jerabkova
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Kamila Jerabkova2020-07-07 14:13:392020-09-29 15:51:40Our solution is part of the international RICAIP project
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Kamila Jerabkova
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Kamila Jerabkova2020-05-14 20:00:202020-05-15 16:45:02NVIDIA Ampere announcement
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