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This Radeon RX 9070 GRE assessment uses the dedicated AMD product page specification of 12 GB GDDR6.
This Radeon RX 9070 GRE assessment uses the dedicated AMD product page specification of 12 GB GDDR6. Official sources disagree, so a 16 GB configuration cannot be presented as a verified variant of this card.
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 |
|---|---|---|
| 12 GB official product specification | 12 GB GDDR6 | 220 W |
Establish the LLM software path
The ROCm Core SDK 10.1.0 device list includes Radeon RX 9070 GRE. 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
Suppose an engineer receives a machine description saying “9070 GRE, 16 GB” and plans to move another card profile onto it. The ROCm hardware reference does contain a 16 GiB entry, while the dedicated product specification says 12 GB. This discrepancy cannot be explained merely by different units or silently resolved by choosing the larger number. Check board labeling, device identity, and memory reported by the installed runtime. Until the conflict is resolved, plan around the product-page 12 GB and preserve the disagreement in the acceptance record. An unexpected capacity reported by one device would still not establish an official production variant: manufacturer documentation and exact hardware identification would be needed.
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.
Prepare a scene profile for verified capacity rather than the disputed reference entry. Preserve the device memory report together with the completed-frame log.
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.
A distinct “unresolved source discrepancy” field is more useful than an assumed new card version. A seller label or another machine screenshot without system identifiers cannot settle that field.
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.