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GPU NVIDIA

( number of products: 105 )

NVIDIA Graphics Cards – The Power of AI, Ray Tracing and Professional Computing

NVIDIA graphics cards are the global standard in visual processing and parallel computing. From advanced workstations to powerful AI clusters in data centers, NVIDIA GPUs deliver technologies that redefine modern business. At Esus IT, we offer a full range of products based on architectures such as Ada Lovelace, Ampere, and Hopper, providing hardware tailored to the needs of engineers, scientists, and digital creators.

NVIDIA Solutions Tailored to Your Business

Choosing the right GPU is the foundation of efficient work. In our offer, you will find solutions divided into key application segments:

NVIDIA RTX (formerly Quadro) – Professional Visualization

For engineers, architects, and designers using CAD/BIM software (e.g. SOLIDWORKS, AutoCAD). These cards offer:

  • ISV Certification: Guaranteed stability in professional applications.
  • Large VRAM capacity with ECC: Data safety during complex simulations and rendering large 3D scenes.
  • Support for NVIDIA Omniverse: A platform for real-time collaboration on 3D projects.

NVIDIA GeForce RTX – Performance for Creators and AI

RTX 30 and 40 series are not just for gaming. Thanks to RTX (Ray Tracing) and Tensor (AI) cores, these cards are perfect for:

  • Fast video editing: Hardware acceleration via NVENC/NVDEC codecs.
  • Running LLM models locally: Ideal for training and running artificial intelligence on local machines.
  • Photorealistic rendering: Using DLSS 3 technology in engines such as Unreal Engine.

Data Center and Deep Learning Solutions

For customers building computing infrastructure, we offer server-dedicated GPUs (e.g. L40, A100, H100 series). These units are designed for rack-mounted environments, providing maximum throughput for machine learning and Big Data analytics.

Why is NVIDIA a GPU Market Leader?

By choosing NVIDIA at Esus IT, you invest in an ecosystem that offers much more than hardware alone:

  • Ray Tracing Technology: Physically accurate light simulation, essential for architecture and design.
  • NVIDIA DLSS: AI-based image upscaling without loss of quality.
  • CUDA Platform: The most widely used GPU computing environment, supported by thousands of professional applications.
  • Driver stability: Dedicated Studio and Enterprise drivers ensure reliability in production environments.

FAQ – NVIDIA Graphics Cards

1. What is the difference between Game Ready and Studio drivers?

Game Ready drivers are optimized for the latest game releases. Studio drivers undergo additional testing in creative applications (Adobe, Autodesk, Blackmagic Design) to ensure maximum stability in professional workflows.

2. Can an NVIDIA RTX card be used in a server?

Yes, but cooling must be considered. Active-cooled models are best suited for workstations, while blower-style or passive-cooled models are recommended for dense server environments.

3. How much VRAM is needed for AI workloads?

For large language models (LLM) or generative AI (e.g. Stable Diffusion), we recommend at least 12–16 GB of VRAM. For professional deep learning workloads, 24 GB (RTX 4090/6000) or more is recommended.

4. What are Tensor Cores?

Tensor Cores are specialized computing units inside NVIDIA GPUs designed to accelerate matrix operations, which are fundamental to artificial intelligence and machine learning.

Trust a partner who understands your business needs and offers you the best solution. Our carefully selected products offer you performance, reliability and compatibility.   We pride ourselves on excellent customer service and are happy to assist you in selecting the best hardware solutions for your business.   Choose us as your trusted partner to meet your business needs. Your partner for business solutions. Feedback from our customers testifies to our professionalism.   Trusted shops
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