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Radeon RX 7900 XT has 20 GB GDDR6, while XTX provides a different capacity.
Radeon RX 7900 XT has 20 GB GDDR6, while XTX provides a different capacity. Migrating a profile requires preserving the 20 GB boundary rather than reducing the identity to the shared RX 7900 family name.
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 |
|---|---|---|
| 20 GB | 20 GB GDDR6 | 315 W |
Establish the LLM software path
The ROCm Core SDK 10.1.0 device list includes Radeon RX 7900 XT. 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
Consider a requirement to retain a long conversation with the model already loaded. For hypothetical 32 billion parameters at 4 bits per weight, the raw arithmetic weight estimate is 16 billion bytes. This is not yet an operating budget: additional allocation depends on model format, context, and engine. Run one fixed conversation, record actual allocation growth, and only then test a second active conversation. Failure of the second request does not invalidate the useful single-request result, but neither does the first result establish a multi-user profile. Do not automatically inherit XTX settings or silently shorten context; otherwise the same external model alias begins to describe different machine capabilities. Preserve both the original requirement and the effective configuration used for each test.
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.
For a project with large textures, preserve the original resource set and complete-frame settings. Automatically reducing textures after migrating from XTX changes the workload and should be explicitly recorded.
Preserve a machine-level acceptance record
The table gives AMD board-power specifications, not measured whole-computer consumption. Check the power supply, connectors, card dimensions, and airflow path for the actual system separately. Board power cannot establish inference speed.
Preserve 20 GB in inventory, the validated conversation boundary, and actual concurrency. AMD specifies 315 W board power; that is neither per-request cost nor measured inference efficiency.
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?; Make llama.cpp automatic fit settings reproducible; NVIDIA and AMD GPU catalogue for LLM inference and server rendering.