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GPU servers for training vs inference: how to choose the right hardware

Choosing a GPU server for AI is one of today’s infrastructure decisions with the greatest margin for error. The reason is simple: training a model, fine-tuning it, and running it in production are three different workloads, and each one requires a different hardware profile. Buying an 8-GPU node to serve an internal chatbot is a waste of money; trying to train a model from scratch with a single card can mean losing months. In this guide, we explain what each…

AMD Threadripper PRO 9000 WX: the definitive CPU for extreme workstations

There comes a point when a desktop processor is no longer enough. Not because it lacks raw power, but because the project starts running into limits that no Ryzen or Core processor can overcome: insufficient memory, exhausted PCIe lanes, lack of ECC support. That is where Threadripper PRO comes in. The 9000 WX series is the latest generation of AMD’s professional HEDT platform: Zen 5 architecture, up to 96 cores, eight DDR5 memory channels with ECC support, and 128 PCIe…

AMD EPYC 9005 «Turin»: everything about the new generation of server CPUs

The fifth generation of AMD EPYC processors has changed the rules of the game in the data center. With up to 192 cores per socket, Zen 5 architecture, DDR5-6400 memory and full support for PCIe 5.0 and CXL 2.0, the EPYC 9005 family —code-named “Turin”— delivers a leap in performance and density that forces us to rethink how professional servers are sized. In this guide, we review what really changes compared with the previous generation, how to choose between the…

NVIDIA L40S vs L4 vs T4: GPU comparison for inference and mixed workloads

Choosing between the NVIDIA L40S, L4 and T4 is one of the most common —and most misunderstood— decisions in AI and data centre infrastructure. All three are professional NVIDIA GPUs designed for servers, but their positioning is completely different. Confusing them can lead to an oversized budget or, worse, create a bottleneck that slows down the entire infrastructure. This comparison analyses the specifications, real-world use cases and TCO of each model to help you make the right decision based on…

3D rendering workstation: optimal configuration for Blender, V-Ray, Octane, Redshift and Arnold

Choosing the right 3D rendering workstation in 2026 is not just a matter of budget. The correct configuration depends on the rendering engine you use, whether your pipeline is CPU-based, GPU-based or hybrid, and the size of your scenes. A poor decision regarding the CPU or the amount of RAM can create bottlenecks that no GPU will be able to solve. This guide explains the key components of a rendering workstation, what to prioritise depending on your rendering engine and…

NVIDIA RTX PRO 6000 Blackwell: Analysis and Use Cases 2026

The arrival of the Blackwell architecture has marked one of NVIDIA’s biggest advances in recent years. Within the professional range, the undisputed protagonist is the NVIDIA RTX PRO 6000 Blackwell, a GPU designed for high-performance workstations that combines advanced capabilities for artificial intelligence, 3D rendering, simulation, engineering and professional visualization. With 96 GB of GDDR7 memory, more than 24,000 CUDA cores and power aimed at the most demanding environments, this graphics card is positioned as the natural successor to the…