In this article
Equal288GB capacity does not make MI350X and MI355X power or cooling configurations interchangeable.
AMD Instinct MI350X and MI355X is assessed here as an exact CDNA 4 board configuration. Its published 288 GB capacity is the starting point for a workload qualification, not a measured serving or rendering result.
Exact model and memory variants
MI350X and MI355X each publish288 GB HBM3e in CDNA4 OAM form. Their1000 W and 1400 W envelopes are materially different despite equal memory capacity.
| Variant | Memory | Published board power | Cooling / format |
|---|---|---|---|
| MI350X OAM | 288 GB HBM3e | 1000 W | Server-platform cooling; OAM accelerator |
| MI355X OAM | 288 GB HBM3e | 1400 W | Server-platform cooling; OAM accelerator |
Specifications: Official product/support documentation.
LLM backend and memory budget
For gfx950 and 288 GB, retain exact build, model, context and batching. Matching capacity does not establish equal speed or operation availability. Each edition needs its own software qualification.
A ROCm support entry does not certify every inference engine, model kernel or quantization format.
Compatibility evidence: ROCm compatibility matrix.
Cycles and batch rendering
CDNA4 compute support does not establish RDNA eligibility for standard Cycles HIP. Even288 GB cannot remove a renderer architecture requirement. Another engine needs separate official evidence and an actual validated result.
Blender 5.2 LTS GPU rendering manual.
Integration into a server or workstation
Treat1000 W MI350X and 1400 W MI355X as different server integration cases. Preserve the platform cooling, power configuration and actual topology, rather than transferring a qualification because both modules say288 GB. The supported host configuration is part of the resource identity.
A concrete qualification scenario
A cluster team considers two vendor server configurations carrying the different OAM models. Use a shared model/context control while retaining separate platform manifests and output checks. Explore a larger candidate only in a new case. If one configuration behaves differently, inspect the actual software and power settings before assigning an architectural explanation. The comparison documents both 288 GB devices without inventing a universal performance ordering.
The evidence to retain
Keep an ordinary qualification record with the actual test outputs.
Identify the tested variant, software build and execution mode before entering observations. Leave unavailable measurements explicitly unknown.
The fields below separate published specifications from observed allocation and job completion, so a later operator can repeat the same case.
| Evidence field | What this profile must retain |
|---|---|
| Hardware identity | AMD Instinct MI350X and MI355X; physical variant and reported device identifier |
| Memory boundary | 288 GB published; observed free memory before and after loading |
| Inference artifact | Exact weights digest, quantization, context and offload configuration |
| Render artifact | Scene digest, renderer version, backend and denoising setting |
| System envelope | Driver, container/build digest, enclosure and cooling configuration |
| Completion evidence | Application exit status, output validity and observed memory failures |
The 1000 W and 1400 W host arrangements require independent records; 288 GB on both modules cannot establish interchangeable power or cooling conditions.
Further reading: RAM and VRAM: which memory matters for an AI server?, A GPU inference benchmark you can trust, NVIDIA and AMD GPU catalogue.