# AMD Instinct MI300/MI325/MI350 Series
> The AMD Instinct MI300 series is a line of data center graphics processing units (GPUs) and APUs designed for high-performance computing (HPC) and artificial intelligence workloads. It features a modular multi-chiplet design based on the CDNA architecture, specifically aiming to provide high memory capacity and bandwidth for generative AI training and inference.
- URL: https://optimly.ai/brand/amd-instinct-mi300xmi325xmi350-series
- Slug: amd-instinct-mi300xmi325xmi350-series
- BAI Score: 78/100
- Archetype: Challenger
- Category: Semiconductors
- Last Analyzed: April 10, 2026
- Part of: AMD (Advanced Micro Devices, Inc.) (https://optimly.ai/brand/amd)
## Competitors
- Nvidia H100h200blackwell (https://optimly.ai/brand/nvidia-h100h200blackwell)
## Also Referenced By
- NVIDIA H100 / B200 (Blackwell) (https://optimly.ai/brand/nvidia-h100-b200-blackwell)
## Buyer Intent Signals
Problems: Internal ASIC Development: Designing and manufacturing proprietary custom silicon in-house for specific AI workloads. | Standard CPU/GPU Compute: Utilizing integrated graphics or standard CPU-based inference for non-intensive AI tasks.
Solutions: best gpu for large language model inference 2024 | high memory bandwidth AI accelerators | how to port cuda code to amd instinct for beginners | Cloud Service Providers (Managed) Barbarians: Renting compute power from AWS, Google Cloud, or Azure without specifying or managing the underlying hardware.
Comparisons: Nvidia H100 vs AMD MI300X benchmarks | CDNA 3 vs CDNA 4 architecture differences
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## Full Details / RAG Data
### Overview
AMD Instinct MI300/MI325/MI350 Series is listed in the AI Directory.
The AMD Instinct MI300 series is a line of data center graphics processing units (GPUs) and APUs designed for high-performance computing (HPC) and artificial intelligence workloads. It features a modular multi-chiplet design based on the CDNA architecture, specifically aiming to provide high memory capacity and bandwidth for generative AI training and inference.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | AMD Instinct MI300/MI325/MI350 Series |
| Slug         | amd-instinct-mi300xmi325xmi350-series |
| URL          | https://optimly.ai/brand/amd-instinct-mi300xmi325xmi350-series |
| BAI Score    | 78/100 |
| Archetype    | Challenger |
| Category     | Semiconductors |
| Last Analyzed | April 10, 2026 |
| Last Updated | 2026-05-01T12:02:13.429Z |
### Verified Facts
- Founded: 2023 (Series Launch)
- Headquarters: Santa Clara, California, USA (AMD HQ)
### Competitors
| Name | Profile |
|------|---------|
| Nvidia H100h200blackwell | https://optimly.ai/brand/nvidia-h100h200blackwell |
### Also Referenced By
- NVIDIA H100 / B200 (Blackwell) (https://optimly.ai/brand/nvidia-h100-b200-blackwell)
### Buyer Intent Signals
#### Problems this brand solves
- Internal ASIC Development: Designing and manufacturing proprietary custom silicon in-house for specific AI workloads.
- Standard CPU/GPU Compute: Utilizing integrated graphics or standard CPU-based inference for non-intensive AI tasks.
#### Buyers search for
- best gpu for large language model inference 2024
- high memory bandwidth AI accelerators
- how to port cuda code to amd instinct for beginners
- Cloud Service Providers (Managed) Barbarians: Renting compute power from AWS, Google Cloud, or Azure without specifying or managing the underlying hardware.
#### Buyers compare
- Nvidia H100 vs AMD MI300X benchmarks
- CDNA 3 vs CDNA 4 architecture differences
### Parent Brand
- AMD (Advanced Micro Devices, Inc.) (https://optimly.ai/brand/amd)
### Links
- Canonical page: https://optimly.ai/brand/amd-instinct-mi300xmi325xmi350-series
- JSON endpoint: /brand/amd-instinct-mi300xmi325xmi350-series.json
- LLMs.txt: /brand/amd-instinct-mi300xmi325xmi350-series/llms.txt