WORKSTATION APY AI Lx DATA SCIENCE Intel Xeon W

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WORKSTATION APY AI Lx DATA SCIENCE Intel Xeon W

IA Workstation for Learning Machine, Intel Xeon Version W-2145

Maximize productivity, reduce time to insight, and lower the cost of your data
science projects with the NVIDIA-powered Data Science Workstation
featuring Quadro® RTX™ 6000 or 8000 GPUs and software powered by NVIDIA CUDA-X AI accelerated libraries.

Each NVIDIA Quadro station for data science, validated by NVIDIA with the "NGC-ready systems" label, is compulsorily sold with a three-year software support (see the Nvidia particular condition tab below)

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  • CUSTOMER SERVICE FROM MONDAY TO FRIDAY 9.30am - 6.30pm Tel: +33 1 60 92 92 92 CUSTOMER SERVICE FROM MONDAY TO FRIDAY 9.30am - 6.30pm Tel: +33 1 60 92 92 92

Description

As companies capture more data, powerful computing platforms with the speed and capacity to convert massive amounts of information into insights are needed so they can create better products and services for their customers. Accelerate data preparation, model training, and visualization with a new breed of workstations, the NVIDIA-powered Data Science Workstation.

Built on the world’s most advanced Quadro® RTX™ GPUs, NVIDIA-powered Data Science Workstations provide up to 96 GB of GPU memory to handle the largest datasets. They include optimized data science software powered by NVIDIA CUDA-X AI, a collection of NVIDIA GPU accelerated libraries featuring RAPIDS data processing and machine learning libraries, TensorFlow, PyTorch and Caffe. The result is an integrated solution built by leading workstation partners to ensure maximum compatibility and reliability. With optional support services for NVIDIA developed software, it's everything you need to boost productivity, enjoy faster time to insight, and lower the cost of your data science projects.

The AI ​​Lx DATA SCIENCE station is designed and optimized to start in machine learning. It features 1 latest-generation professional NVIDIA Quadro®  RTX 6000 or NVIDIA Quadro®  RTX 8000 graphics card.

This workstation takes advantage of the power and performance of the Intel Xeon W-2145 3.7 GHz processor with 8 cores. Based on the Linux Ubuntu environment, this configuration is ready to use with the Rapids software library for machine learning

Intel Xeon W-2145 3.7 GHz processor (8 cores)
- 128 GB DDR4 2666 Mhz ECC,
- 1 x Quadro®  RTX 6000 or 80000+ NVLINK Graphics Card
- SSD NVMe 1.6 TB,
- Aluminum housing, power supply 700W,
-- Keyboard mouse,
- Ubuntu OS + Nvidia software suite.

nvidia-rapids

Data sheet

APY
APY AI Lx DATA SCIENCE
New product
Data sheet
Chipset
INTEL C422
Processor
Intel Xeon W
Number of supported processors
1 processor
Max Configurable Memory
Up to 192 GB DDR4 ECC REG
Number of graphics card (s) supported
1
Graphic card
NVIDIA® Quadro® RTX 6000 or NVIDIA® Quadro® RTX 8000
Network interface
1 x Gigabit Ethernet
Operating Systems
UBUNTU 18.04 with Rapids Data science Framework
Power supply
700 W 80 plus Platinium
Disks) supported
1 x Port U.2, 6 x port(s) SATA 6 Gb
Audio
Realtek® ALC S1220A 8 Channel High Definition Audio
Size
210mm x 473mm x 498mm
Weight
from 11 Kg

Warranty

APY guarantees 3 years parts and labor back workshop your workstation and your server

Special condition Nvidia "NGC-ready systems"

* Each NVIDIA Quadro station for data science, validated by NVIDIA with the "NGC-ready systems" label, must be sold with a three-year software support.

The NGC (NVIDIA GPU CLOUD) Service Agreement is an agreement between your entity and NVIDIA. It gives you access to technical support 7 days a week and 24 hours a day, via a dedicated portal, by email or by phone (opening hours of the local office). NGC support is only available to NVIDIA NGC Ready owners. You can find the list here (https://docs.nvidia.com/ngc/ngc-ready-systems/index.html).

Coverage offered by NGC support

NVIDIA provides you with support for the installation, configuration, and resolution of issues related to the use of the associated NVIDIA containers and software. Software configuration is limited to Ubuntu and CentOS or NGC-ready validated GPU systems. Hypervisors and third-party software are not covered.

NVIDIA support covers for three years:

Updating the NGC Deep Learning and Machine Learning Containers

NVIDIA drivers

The proper functioning of NVIDIA containers

CUDA updates