AMD Instinct™ MI350 Series Platform

Leadership Performance, Cost Efficient, Fully Open-Source

AMD Instinct™ MI350 Series

The AMD Instinct™ MI350 Series GPUs, launched in June 2025, represent a significant leap forward in data center computing, designed to accelerate generative AI and high-performance computing (HPC) workloads. Built on the cutting-edge 4th Gen AMD CDNA™ architecture and fabricated using TSMC's 3nm process, these GPUs deliver exceptional performance and energy efficiency for training massive AI models, high-speed inference, and complex HPC tasks like scientific simulations and data processing. Featuring 288GB of HBM3E memory and up to 8TB/s bandwidth, the MI350X and MI355X GPUs offer up to 4x generational AI compute improvement and a remarkable 35x boost in inference performance, positioning them as formidable competitors in the AI and HPC markets. To scale-up AI inference workloads, the MI350P GPU is a dual-slot design that easily integrates into servers for efficient compute performance. Complete GPU-based solutions exist for all workloads using AMD Instinct accelerators.

Overview for the PCIe Card or Module

AMD Instinct™ MI300 Series

Optimize Next Gen Innovation with AMD ROCm™ 7.0

The AMD ROCm™ 7.0 software stack is a key differentiator that enables high-performance AI and HPC development with minimal code changes. AMD Instinct™ MI350 Series GPUs are fully optimized for leading frameworks such as PyTorch, TensorFlow, JAX, ONNX Runtime, Triton, and vLLM, and offer Day 0 support for popular models through automatic kernel generation and continuous validation.

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Applications for AMD Instinct™ Solutions

AI Inference

High memory capacity and bandwidth, along with support for lower precision (INT8 / INT4) make Instinct platforms well-suited for AI inference. These features enable efficient handling of large datasets and high-throughput batch processing, which are critical for real-time and large-scale inference applications.
Generative AI

Generative AI requires fast processing of large models, high throughput, and support for long context windows. Instinct MI350 GPUs deliver high-bandwidth memory and massive parallel compute, enabling efficient training and inference, faster token generation, and scalable, high-quality content creation.
Agentic AI

Agentic AI requires continuous reasoning, rapid decision-making, and coordination across multiple models. Instinct MI350 GPUs provide high memory capacity, fast interconnects, and massive parallel compute, enabling low-latency execution and efficient scaling of complex, multi-step agent workflows.
HPC

Complex problem solving in HPC applications involves simulations, modeling, and data analysis to achieve greater insights. Parallel processing from the GPU is needed, but also there is heavy reliance on the CPU for sequential processing in mathematical computations.

Leadership Performance, Cost Efficient, Fully Open-Source