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The RTX 5090 D v2 has 24 GB while the original D has 32 GB; family identity does not make workload budgets interchangeable.
Treat v2 as part of identity
The RTX 5090 D v2 is an official regional model with 24 GB GDDR7 and specified board power of 575 W. The original RTX 5090 D had 32 GB, so omitting v2 changes an inventory record’s meaning. The global RTX 5090 specification is not a substitute either. The table gives memory per GPU and reference information; the actual AIB design needs separate inspection. A name alone does not establish special software restrictions, pricing or current availability. Practical assessment begins by identifying the observed card and avoiding resources borrowed from a neighboring catalog SKU.
| Official variant | Memory per GPU | Memory type | Board power | Evidence |
|---|---|---|---|---|
| NVIDIA GeForce RTX 5090 D v2 — China RTX 5090 D v2 24 GB | 24 GB | GDDR7 | 575 W | Specification |
Validate the task envelope within 24 GB
The vLLM documentation covers hardware minimums and installation; general Blackwell support does not certify every checkpoint or kernel. When migrating from the original D, preserve the model but recheck memory after loading and the chosen context. If the configuration no longer fits, distinguish weights, KV cache and temporary structures. Copying old settings without measurement creates false expectations. Quantization format, dtype and offload remain explicit manifest fields. Evaluate reduced footprint together with answer quality. This profile supplies neither invented speed nor a promise that every nominal 24 GB workload passes on a particular engine.
Accept the render job independently
For Cycles CUDA and OptiX, pin Blender version, driver and selected device. A saved scene needs its own residency test, separate from inference. If it previously ran on a 32 GB card, repeat preparation and rendering while observing VRAM and host RAM. Preserve completion using system memory as a different execution mode rather than concealing it inside an overall success flag. Supporting backends use RT hardware, but this does not certify every renderer. Retain output image and logs together: a successful exit without a complete result file is insufficient for admitting a server job to the operational queue.
Bind worker configuration to the SKU
A worker record retains the full v2 name, device identity and exact AIB model. If automated inventory normalizes D and D v2 into one name, correct that transformation before scheduling jobs. A 32 GB admission profile cannot be applied to a 24 GB device merely because its family matches. Verify server power and board cooling separately. The 575 W figure describes the board design rather than measured constant draw for every request. On a multi-GPU host, processes receive explicitly selected devices; separate cards’ memory is not automatically treated as pooled capacity for one task.
Record a migration diagnostic branch
The verification artifact contains the old manifest, new inventory record and matched LLM and scene fixture results. When results differ, identify the layer first: card identity, software backend or task memory. If only long context reproduces the issue, adjust that budget and repeat a bounded experiment. If the render device is missing, investigate build and driver rather than capacity. The decision concerns a specific RTX 5090 D v2 and selected files. It does not claim equality with the global RTX 5090, legal supply availability or external service onboarding readiness without independently checking that contract.
Local LLMs on 24GB VRAM: Test More Than the Weights · Build a GPU Inventory CSV with nvidia-smi · GPU catalog