The MI300A is a revolutionary APU combining Zen 4 CPU cores with CDNA 3 GPU compute on a single package. Its unified memory architecture eliminates data transfer overhead between CPU and GPU.
VRAM
128 GB
Memory
HBM3
Bandwidth
5,300 GB/s
FP16
980 TF
TDP
760 W
APU combining Zen 4 CPU cores with CDNA 3 GPU. Unified memory architecture.
Estimates based on INT8 quantization. Actual fit depends on framework and batch size.
The manufacturer's other cards in the catalog, largest memory first, with bandwidth and power where published.
Answered from the entry's own figures: memory, which models fit, bandwidth, power and the card's class.
AMD Instinct MI300A has 128 GB of HBM3 at 5,300 GB/s. At INT8 a model's weights take about one byte per parameter, so the card holds roughly a 102B-parameter model with room for context; larger models need several cards or a lower precision.
From the catalog's estimates at INT8, Llama 3.2 90B Vision, Gemma 4 31B IT, Llama Nemotron Embed Vl 1B V2 and GLM Z1 9B 0414 fit on a single AMD Instinct MI300A with their default context. The list on this page shows the estimated memory each takes; the capacity planner sizes any model against this card for your own context length, batch size and request rate.
5,300 GB/s. Bandwidth bounds how fast a model generates tokens, because every token reads the whole set of weights and the KV cache from memory; at this rate a 102B model at INT8 could be read on the order of 52 times a second on one card, before batching and framework efficiency.
AMD Instinct MI300A has a TDP of 760 W, with a maximum of 760 W, in the OAM form factor. Budget the TDP per card plus host overhead when sizing a server's power and cooling.
AMD Instinct MI300A is a datacenter accelerator, meant for servers and multi-GPU serving, built on the CDNA 3 architecture and released in 2023. It supports a multi-GPU interconnect at 896 GB/s, so a model larger than one card can be split across several.
Specifications from the manufacturer's published material; a figure that is not published is shown as such, and a derived one is explained in the notes.
Added Jan 27, 2026 · Last updated Apr 30, 2026
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