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RTX 3060 8/12 GB differ in capacity and interface; a shared 170 W figure does not establish equal fit or workload speed.
Verify capacity and interface
NVIDIA lists the RTX 3060 with 8 GB and 12 GB GDDR6 at reference board power of 170 W. Their memory interfaces differ as well: 128-bit and 192-bit respectively. A shared name does not identify the installed configuration. The table gives memory per GPU; RTX 3060 Ti is another product. Preserve AIB identity and that board’s specification source for a server. Specified watts establish neither equal energy nor equal execution duration across variants. Measure baseline VRAM separately from nominal capacity, especially when the GPU also drives a display or another resident application.
| Official variant | Memory per GPU | Memory type | Board power | Evidence |
|---|---|---|---|---|
| NVIDIA GeForce RTX 3060 — 8 GB | 8 GB | GDDR6 | 170 W | Specification |
| NVIDIA GeForce RTX 3060 — 12 GB | 12 GB | GDDR6 | 170 W | Specification |
Compare the same LLM task
Check vLLM requirements against model revision, dtype and kernels. Ampere clears the hardware minimum rather than promising every quantization path. Keep prompt, context, output and concurrency equal when comparing RTX 3060 variants. If 8 GB cannot admit the configuration, that is not a relative speed measurement. If both pass, observe memory and execution phases separately. llama.cpp CUDA is an independent path whose offload behavior must remain visible. A weight file fitting does not guarantee room for KV cache, runtime structures and every active request in the intended server mode. Preserve the complete workload settings.
Examine scene materials and textures
Accept Cycles CUDA or OptiX with an appropriate Blender release, driver and actual GPU detection. Save a scene with known assets and settings for the RTX 3060. Give both capacity variants the same project. Host RAM use on the smaller card versus local residency on the larger one is a separate execution mode observation. RTX hardware tracing depends on backend support rather than certifying every renderer. Project file size does not determine VRAM footprint. Inspect the image with logs so successful process exit cannot hide a missing asset or incorrectly selected CPU path in one environment.
Do not route from one name string
The registry contains verified capacity, AIB model and device identity. Admission uses a tested workload envelope rather than one universal RTX 3060 category. Review the rule before accepting jobs after replacing the board. Observe RAM and CPU when offloading, and the previous VRAM owner’s state before rendering. The 170 W value remains a reference specification for both variants rather than the whole system budget. Actual connectors, chassis and cooling depend on AIB documentation. Perform normal validation without forced clocks or disabled protections, preserving enough evidence to explain the original operating mode. Queue policy should reflect the observed configuration.
Record the capacity class decision
The artifact associates both GPU records, LLM and scene manifests and results from matched inputs. If only context constrains work, inspect KV budget; if assets do, inspect render memory. An unsupported operation cannot automatically be explained by the 8/12 GB distinction. The matrix defines specific tasks for each worker class. It promises neither a fixed speed gain from 12 GB nor capacity for every checkpoint or universal equality across AIB designs. This profile preserves important specifications and measurement conditions so role decisions follow actual work rather than the model’s shared name. New workloads still need their own acceptance row.
Coding LLMs on 8GB VRAM: Start with a Bounded Task · Coding LLMs on 12GB VRAM: Budget Context and Headroom · GPU catalog