# AMD Instinct MI300X
> The AMD Instinct MI300X is a high-performance data center graphics processing unit (GPU) designed for artificial intelligence (AI) and high-performance computing (HPC). Built on the CDNA 3 architecture, it features industry-leading memory capacity and bandwidth to support large language model (LLM) training and inference.
- URL: https://optimly.ai/brand/amd-instinct-mi300x
- Slug: amd-instinct-mi300x
- 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)
## Also Referenced By
- Intel Gaudi 3 Systems (https://optimly.ai/brand/intel-gaudi-3-systems)
- Nvidia H100a100 Gpus (https://optimly.ai/brand/nvidia-h100a100-gpus)
- Google TPU v5p clusters (https://optimly.ai/brand/google-tpu-v5p-clusters)
- NVIDIA (H100/H200) Japan (https://optimly.ai/brand/nvidia-h100-h200-japan)
- Nvidia H100 Tensor Core GPU (https://optimly.ai/brand/nvidia-h100-tensor-core-gpu)
- Intel Gaudi 3 AI Accelerator (https://optimly.ai/brand/intel-gaudi-3-ai-accelerator)
- Nvidia Dgx H100 (https://optimly.ai/brand/nvidia-dgx-h100)
## Buyer Intent Signals
Problems: Hardware optimization (Legacy) diets: Sticking with existing V100 or A100 infrastructure and optimizing software rather than upgrading hardware. | Managed Model Hosting Agencies: Outsource model training to specialized AI labs or boutique cloud providers that manage the hardware layer.
Solutions: Best GPUs for LLM inference 2024 | High memory capacity AI accelerators | How to start an AI data center from scratch | AI hardware for large scale training | Consumer GPU clusters: Using standard consumer or lower-tier enterprise GPUs (e.g., RTX 4090) for non-critical development tasks.
Comparisons: NVIDIA H100 vs MI300X benchmarks