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Radeon PRO V620 officially has 32 GB GDDR6 and 300 W board power.
Radeon PRO V620 officially has 32 GB GDDR6 and 300 W board power. This passive RDNA 2 server card requires physical capacity to remain distinct from virtual-machine resources and the model software route.
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 board | 32 GB GDDR6 | 300 W |
Establish the LLM software path
The ROCm Core SDK 10.1.0 device list includes Radeon PRO V620. 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
The practical task is moving a validated model profile from dedicated access onto a virtualized server. Preserve the original profile, then establish the guest access method and visible memory. Do not assume every process in every virtual machine automatically receives all 32 GB. Separately validate V620 detection, installed driver, required operations, and reference output for the new profile. Even the exact card appearing in ROCm cannot describe arbitrary hypervisor and guest-OS combinations. Success only under a particular dedicated mode is a useful specific result that should be recorded literally. It cannot establish universal support across virtual configurations or preserve the old context limit after assigned resources change. The acceptance record must describe the route that actually worked rather than the host inventory alone.
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.
For rendering inside a guest, preserve selected-device logs and a completed scene frame. A host-rendered frame cannot validate guest HIP access or its assigned resource capacity.
Preserve a machine-level acceptance record
Physical board memory and guest-assigned memory are different quantities. Record the virtualization profile and resources visible to the device; owning the host board does not give every virtual machine all of its memory.
Keep V620 and physical 32 GB distinct from guest-assigned memory. Add the passive implementation and host-cooling qualification rather than replacing those checks with the 300 W power specification.
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
GPU containers or virtual machines: what to check before deployment; RAM and VRAM: which memory matters for an AI server?; NVIDIA and AMD GPU catalogue for LLM inference and server rendering.