AMD Instinct Accelerators

AMD Instinct GPUs pair industry-leading HBM capacity with the open ROCm software stack, so you can run larger models on fewer GPUs without proprietary lock-in. IIS Technology designs, integrates and deploys Instinct-based platforms for training, fine-tuning and inference — on-premises, where your data stays under your control.

Why AMD Instinct for your AI Models:

· More memory per GPU. 288 GB of HBM3E on MI355X and 432 GB of HBM4 on MI455X let large models and long contexts fit on fewer GPUs, lowering cost per token.

· Open software. ROCm supports PyTorch, JAX, vLLM, SGLang and Hugging Face models out of the box — no proprietary toolchain required.

· Standards-based scale. Ultra Ethernet scale-out and UALink-over-Ethernet scale-up keep the fabric open and multi-vendor.

· Flexible deployment. Standard 8-GPU servers for enterprise AI today; Helios rack-scale systems for the largest clusters.

· Pairs with Red Hat AI. Run Red Hat OpenShift AI and Red Hat AI Inference Server on Instinct for a supported, enterprise-grade AI platform.

At IIS Technology we use AMD Instinct to build out:

· Private LLMs and RAG — keep sensitive data on-premises while serving generative AI to the business.

· High-throughput inference — serve large models at low cost per token with vLLM and SGLang.

· Fine-tuning and training — adapt foundation models to your domain.

· HPC and scientific computing — FP64 and mixed-precision simulation.