MI300X
MI300X is an AMD GPU based on the CDNA 3 chiplet architecture, first released in 2023.
Built from BenchGecko data as of April 14, 2026 · updates when the data changes
MI300X is an AMD GPU based on the CDNA 3 chiplet architecture, first released in 2023.
Basic
The AMD Instinct MI300X is an AI GPU made by AMD, codenamed Aqua Vanjaram. Peak throughput is 1,307 TFLOPS at FP16/BF16 and 2,614 TFLOPS at FP8. It carries 192 GB of HBM3 with 5.3 TB/s of memory bandwidth. Rated power (TDP) is 750 W. It is built on N5+N6 at TSMC.
Deep
In the BenchGecko dataset it sits in the mainstream tier: current-generation non-flagship parts or last-generation flagships still widely deployed. It is followed by the MI325X. Disclosed buyers include Microsoft and Meta. Specs come from manufacturer datasheets; the spec card on this page shows the dataset values and their as-of date.
Expert
That is 1.74 FP16 TFLOPS per watt. Memory bandwidth per unit of compute is 4.06 GB/s per FP16 TFLOP: a higher ratio helps memory-bound inference, while peak TFLOPS matter more for compute-bound training. Fabrication: Taiwan. Real throughput depends on the model, precision, batch size and software stack, so compare tokens per second per dollar for your own workload.
Depending on why you're here
- ·MI300X: 1,307 TFLOPS FP16/BF16 · 2,614 TFLOPS FP8
- ·Process: N5+N6 at TSMC
- ·Tier: mainstream
- ·192 GB of HBM3 per chip
- ·Cloud availability in the dataset: Azure, RunPod and TensorWave
- ·Compare it with other chips on /hardware/mi300x
- ·Disclosed buyers: Microsoft and Meta
- ·AMD · fabbed at TSMC
- ·Supply tightness is tracked on /hardware
- ·MI300X is a chip built to run AI, made by AMD
- ·It has 192 GB of fast memory so large models fit
- ·Companies buy or rent these to train and serve AI models
Frequently Asked Questions
Read the primary sources
- MI300X datasheetwww.amd.com