AMD Instinct MI455X OAM vs AMD Instinct MI430X OAM

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

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

Specifications

Instinct MI455X
Instinct MI430X
Architecture
CDNA 5CDNA 5
Launch Year
20262027
Form Factor
OAMOAM
Memory
432 GB432 GB
Memory Bandwidth
23.3 TB/s—
TDP
——
Process Node
——

Performance (TFLOPS)

Instinct MI455X
Instinct MI430X
FP64
No verified data available288 TFLOPS
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
20,133 TFLOPS
sparse not published
No verified data available
FP6
No verified data available No verified data available
FP4
40,265 TFLOPS
sparse not published
No verified data available
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 MI455X or the Instinct MI430X?

Both GPUs carry 432 GB of memory.

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