AMD Instinct MI455X OAM vs AMD Instinct MI440X OAM
Side-by-side specifications, performance, and rental pricing for datacenter AI workloads.
Instinct MI455X: CDNA 5, 2026 Instinct MI440X: CDNA 5, 2026
AMD Instinct MI455X OAM
Full specs →Architecture
CDNA 5
Year
2026
Memory
432 GB
AMD Instinct MI440X OAM
Full specs →Architecture
CDNA 5
Year
2026
Specifications
Instinct MI455X Instinct MI440X
Architecture
CDNA 5CDNA 5
Launch Year
20262026
Form Factor
OAMOAM
Memory
432 GB—
Memory Bandwidth
23.3 TB/s—
TDP
——
Process Node
——
Spec Instinct MI455X Instinct MI440X
Architecture CDNA 5CDNA 5
Launch Year 20262026
Form Factor OAMOAM
Memory 432 GB—
Memory Bandwidth 23.3 TB/s—
TDP ——
Process Node ——
Performance (TFLOPS)
Instinct MI455X Instinct MI440X
FP64
No verified data available 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
20,133 TFLOPS
sparse not published
No verified data availableFP6
No verified data available No verified data available
FP4
40,265 TFLOPS
sparse not published
No verified data availableINT8
No verified data available No verified data available
Precision Instinct MI455X Instinct MI440X
FP64 No verified data available 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 20,133 TFLOPS
sparse not published
No verified data availableFP6 No verified data available No verified data available
FP4 40,265 TFLOPS
sparse not published
No verified data availableINT8 No verified data available No verified data available
FLOPS by Precision
What actually differs
Both GPUs launched in 2026: the Instinct MI455X on CDNA 5 and the Instinct MI440X on CDNA 5.
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.
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