Serveur GPU

GPU SERVERS

Optimize your Deep Learning and Artificial Intelligence projects with customized, scalable, and high-performance solutions.

  • Linux OS Installation (Ubuntu, CentOS, etc.) for a stable and flexible platform.
  • CUDA installation for Nvidia and ROCm for AMD, to fully unlock the potential of your GPUs in compute-intensive projects.
  • Deep Learning infrastructure setup: We install and optimize frameworks like TensorFlow, PyTorch, Caffe, and more.

Air cooling or water cooling: Choose the cooling solution that best fits your GPU power and operational environment.

Advanced testing: We conduct benchmarks to ensure the performance and stability of your GPU servers, with tests tailored to your specific applications (Deep Learning, Simulation, etc.).

  • On-Premise: We install your servers directly at your location for simpler management and full control.
  • In Data Centers: We configure and install your servers in highly secure data centers, ensuring greater scalability and optimized remote management.

OPTIONAL FAQ SECTION

What’s the difference between Nvidia and AMD architectures?

Nvidia CUDA is widely used for Deep Learning applications, while AMD ROCm provides a powerful, cost-effective alternative with open architectures.

Can I customize my server order?

Absolutely. We offer tailor-made configurations based on your specific requirements.

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