AMD Instinct MI430X OAM vs AMD Instinct MI455X OAM

Side-by-side specifications, performance, and rental pricing for datacenter AI workloads.

Instinct MI430X: CDNA 5, 2027 Instinct MI455X: CDNA 5, 2026
Memory
432 vs 432 GB
Same capacity

Specifications

Instinct MI430X
Instinct MI455X
Architecture
CDNA 5CDNA 5
Launch Year
20272026
Form Factor
OAMOAM
Memory
432 GB432 GB
Memory Bandwidth
—23.3 TB/s
TDP
——
Process Node
——

Performance (TFLOPS)

Instinct MI430X
Instinct MI455X
FP64
288 TFLOPS No verified data available
FP32
No verified data available No verified data available
TF32
No verified data available No verified data available
BF16
No verified data available No verified data available
FP16
No verified data available No verified data available
FP8
No verified data available20,133 TFLOPS
sparse not published
FP6
No verified data available No verified data available
FP4
No verified data available40,265 TFLOPS
sparse not published
INT8
No verified data available No verified data available

FLOPS by Precision

What actually differs

The Instinct MI430X is the newer part: CDNA 5, launched in 2027, against the Instinct MI455X's CDNA 5 from 2026. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.

Memory is 432 GB against 432 GB. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.

For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.

Frequently asked questions

Which has more memory, the Instinct MI430X or the Instinct MI455X?

Both GPUs carry 432 GB of memory.

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