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The non-XT Radeon RX 9060 is a separate official product with 8 GB GDDR6 and a 132 W board specification.
The non-XT Radeon RX 9060 is a separate official product with 8 GB GDDR6 and a 132 W board specification. It needs its own launch profile even when a similarly named RX 9060 XT is installed nearby.
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 |
|---|---|---|
| 8 GB | 8 GB GDDR6 | 132 W |
Establish the LLM software path
The ROCm Core SDK 10.1.0 device list includes Radeon RX 9060. 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 machine where the model loads but the log reports that only some layers moved onto the GPU. This is not necessarily an error: with 8 GB, partial placement can be an intentional way to validate a bounded workload. Preserve the offloaded-layer count and actual buffer placement first, then compare reference output against a CPU run. Change offload one step at a time while keeping context and input text fixed. If context changes automatically alongside layer placement, two parameters are changing and the result becomes difficult to explain. Treat a profile from the 16 GB RX 9060 XT only as a starting hypothesis requiring new validation; the shared 9060 number cannot establish equal resources or model performance.
Validate Blender Cycles separately
RDNA 4 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 small scene, verify actual HIP-device selection in Cycles settings. Displaying an image through Radeon does not mean that the card computed the frame.
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 the complete non-XT name, 8 GB capacity, and effective layer placement. State whether CPU-resident model components are allowed, so successful mixed execution is not described as an all-GPU run.
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
llama.cpp GPU layers: verify partial model offloading; Make llama.cpp automatic fit settings reproducible; NVIDIA and AMD GPU catalogue for LLM inference and server rendering.