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Radeon PRO W7800 has official 32 GB and 48 GB GDDR6 variants with the same 260 W board specification.
Radeon PRO W7800 has official 32 GB and 48 GB GDDR6 variants with the same 260 W board specification. For a large model or scene, the key distinction is physical capacity rather than a predetermined speed difference.
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 |
|---|---|---|
| 32 GB | 32 GB GDDR6 | 260 W |
| 48 GB | 48 GB GDDR6 | 260 W |
Establish the LLM software path
The ROCm Core SDK 10.1.0 device list includes Radeon PRO W7800. This is an exact hardware entry, not approval for every operating system, PyTorch build, or quantization format. Select the specific GPU and OS in the compatibility matrix, then record the driver, runtime, and framework release. A listed card does not establish that every kernel used by an inference engine works correctly. Establish device detection, loading of a saved model revision, and a reference request before exploring sustained operation or concurrent requests.
A practical scenario for this model
A hypothetical dense 70 billion parameter model at 4 bits per weight requires 35 billion bytes of raw weight storage. That exceeds nominal 32 GB and is below 48 GB, but even the latter cannot establish residency because additional tensors, KV cache, and buffers remain. Begin comparison with one exact file and the same working context. If the 32 GB configuration needs partitioning or another representation, preserve a separate quality and placement profile. Matching 260 W specified board power proves neither equal workload consumption nor equal speed. It also cannot turn the capacity difference into a predetermined conversation count. The experiment should preserve both the original requirement and any alternative needed by the smaller configuration.
Validate Blender Cycles separately
RDNA 3 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.
Validate the same original resource-heavy scene on both variants. When the 32 GB version needs simplification, preserve another project rather than calling it the same reference frame.
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.
Include 32 GB or 48 GB in the profile name rather than only W7800. This prevents a larger-board configuration being assigned automatically to a lower-capacity device.
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
RAM and VRAM: which memory matters for an AI server?; Reconcile llama.cpp unified KV pools and per-slot context limits; NVIDIA and AMD GPU catalogue for LLM inference and server rendering.