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Radeon PRO W6400 has 4 GB GDDR6.
Radeon PRO W6400 has 4 GB GDDR6. Board power is unverified in the checked source set, so its professional name and small capacity cannot justify inserting an assumed number.
Official variants and the memory boundary
The table follows AMD materials for this model. It describes dedicated device memory, not system RAM. A “not verified” entry preserves a source gap; a neighboring configuration cannot supply the missing specification.
| AMD variant | Dedicated memory | Board power |
|---|---|---|
| 4 GB | 4 GB GDDR6 | Not verified |
Establish the LLM software path
Radeon PRO W6400 is absent from the checked ROCm Core SDK 10.1.0 GPU list. Support for a neighboring model cannot be transferred through a shared generation or a similar name. For a separate experiment, the llama.cpp build documentation describes a Vulkan backend. That route requires a suitable driver, detection of the actual device, and validation of the selected GGUF; Vulkan in a specification does not establish that every operation works. Save tensor-placement logs and compare output with a reference run before concluding that the GPU is actually involved. This is not a claim of current official ROCm support for this card.
A practical scenario for this model
The scenario is a workstation with a scene editor open while an experimental model process runs. With 4 GB, establish which processes already occupy memory before testing each workload independently. Closing one application may change model placement without changing the files. Preserve initial state, run a small fixed fixture, and record the actual GPU role. If opening the editor changes or breaks the profile, that is another shared-use mode rather than evidence of a damaged card. Validate independent roles first and investigate joint execution afterward. Nominal VRAM is not a permanently available allocation budget, and a correct software route cannot eliminate competition from other workstation processes. The experiment needs a stated process environment to make its outcome reproducible.
Validate Blender Cycles separately
RDNA 2 meets the HIP hardware floor in the Blender Cycles 5.2 LTS manual: RDNA 1 or newer. This renderer requirement is independent of ROCm LLM support; validate the actual driver, build, and scene on the intended machine.
Complete a reference frame with memory released by the model process. The project interface and final rendering exercise different stages; opening the file alone is insufficient.
Preserve a machine-level acceptance record
AMD defines a workstation deployment boundary: the relevant W6000/W7000 products and AI PRO R9700 are not designed or validated for datacenter use. Rack installation alone does not change that qualification.
Preserve W6400, 4 GB, and the process list before each experiment. Leave board power unverified until exact documentation is available; another professional card specification cannot close that gap.
The acceptance artifact should connect board identity, software versions, model revision, and the workload actually exercised. After any of those changes, the old result describes its original run rather than establishing compatibility of the new configuration.
Related reading
Idle render farms: assessing a second GPU workload; RAM and VRAM: which memory matters for an AI server?; NVIDIA and AMD GPU catalogue for LLM inference and server rendering.