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If You Want AI, You Need Modern Hardware:
AMD EPYC™ and Instinct™

Artificial Intelligence (AI) is advancing at an incredible pace – and with it, the demands on IT infrastructures are growing. Traditional server architectures quickly reach their limits when faced with large volumes of data, complex models, and rapid inference cycles. What’s needed is a platform that’s not only powerful, but also efficient and future-ready. That’s exactly where AMD EPYC™ processors and AMD Instinct™ GPUs come in.

Whether it’s training large language models, real-time image recognition, or automated decision-making – AMD technologies deliver the performance, scalability, and energy efficiency required by today’s AI projects.

An Infrastructure for Every Stage of AI

AI is more than just machine learning. Successful projects typically go through four distinct phases – each with its own demands on the underlying hardware:

  1. Data Preparation
    Before an AI model can learn, vast amounts of data must be structured, cleaned, and annotated. AMD EPYC™ processors, with their high I/O capacity and up to 192 cores, are ideal for these highly parallel tasks. They deliver impressive results, especially for in-memory analytics or when using frameworks like Apache Spark.
  2. Model Training
    This is where the heavy lifting begins: Deep learning models like GPT or Stable Diffusion process millions of parameters. AMD EPYC™ CPUs provide a stable foundation, while AMD Instinct™ GPUs take on the computational load – with massive bandwidth, large high-bandwidth memory, and excellent floating-point performance. The MI300 series is purpose-built for exactly this use case.
  3. Fine-Tuning
    After training comes fine-tuning – often on smaller, domain-specific datasets. This stage benefits from the flexibility of the AMD platform: depending on the model size and task, workloads can be optimised using CPUs alone or in tandem with GPUs.
  4. Inference
    In live environments, models need to deliver lightning-fast responses – whether in medical diagnostics, online shopping, or fraud detection in financial transactions. Here, AMD EPYC™ CPUs shine with low latency, deep compute capabilities, and maximum energy efficiency. Studies show that for inference workloads such as XGBoost, the AMD EPYC™ 9005 Series delivers up to three times the performance of comparable Xeon CPUs (source).
Instinct_MI300X

AMD Instinct™:
High Performance for AI Giants

Truly large-scale AI models require GPUs that set new standards in memory, bandwidth, and computational power. That’s exactly why AMD developed the Instinct™ MI300 series:

AMD Instinct™ MI325X – Built for Trillion-Parameter Models

  • 256 GB HBM3E memory per GPU
  • 6 TB/s memory bandwidth
  • Up to 20.9 FP8 petaflops for extreme compute workloads
  • ROCm™ open software stack for maximum flexibility in AI development

With this configuration, even trillion-parameter models like GPT-4 can be processed on a single GPU – with no bottlenecks or bandwidth limitations.

AMD Instinct UBB 8xMI300X

AMD EPYC™ + Instinct™:
Perfectly Aligned

What sets the AMD platform apart is that CPU and GPU are not only powerful in their own right but also perfectly harmonised. Communication between AMD EPYC™ CPUs and Instinct™ GPUs takes place via PCIe 5.0 at full bandwidth – enabling minimal latency and maximum data throughput.

Example: In an AI cluster with eight MI325X GPUs and a single AMD EPYC™ 9754 processor, a complete language model can be trained within just a few hours – a task that used to take days or even weeks.

Real-World Applications, Real Benefits

From autonomous driving and predictive maintenance to medical diagnostics and cybersecurity – AMD technology is already powering countless AI applications today. And with good reason:

  • Faster model training
  • Lower energy costs per inference
  • Scalability for everything from compact edge solutions to hyperscale environments
  • Open platform – supports standard frameworks such as PyTorch, TensorFlow, and ONNX

Conclusion: Now Is the Right Time

The AI train is moving – and with AMD EPYC™ and Instinct™, you’ve got the right ticket in hand. Whether you’re looking to modernise existing infrastructures or launch new projects, investing in AMD technology will pay off in the long run – for your performance, your efficiency, and your competitive edge.

Marco Marcone Head of Marketing RNT Rausch

Marco Matthias Marcone


Head of Marketing, RNT Rausch GmbH

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