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RTX 5060 Ti variants share a model name but differ in capacity; additional memory is not a measured speedup.
One profile with two variants
The RTX 5060 Ti has official 8 GB and 16 GB GDDR7 variants. NVIDIA lists a board power specification of 180 W for them. Capacity belongs to one GPU rather than a sum across devices or a software switch on an existing card. Comparison requires actual different boards or trustworthy recorded results for the respective configurations. AIB designs can change dimensions and installation conditions. This is a complete model profile rather than a repetition of the 16 GB versus RTX 5070 comparison. First establish which variant is actually installed in the server.
| Official variant | Memory per GPU | Memory type | Board power | Evidence |
|---|---|---|---|---|
| NVIDIA GeForce RTX 5060 Ti — 8 GB | 8 GB | GDDR7 | 180 W | Specification |
| NVIDIA GeForce RTX 5060 Ti — 16 GB | 16 GB | GDDR7 | 180 W | Specification |
Separate support from memory headroom
The vLLM requirements cover a hardware floor and environment compatibility, not every model format on Blackwell. Hold checkpoint, dtype, tokenizer and selected backend equal across both cards. If one variant cannot load the configuration, that is a workload budget result rather than a speed measurement. If both work, examine context and concurrency separately while recording memory peaks. Moving from 8 GB to 16 GB does not automatically double permitted context: weights and supporting structures consume part of the budget independently of request length and active client count. Establish the actual envelope through controlled requests.
Apply the distinction to rendering
Test Cycles CUDA or OptiX using its own scene and a supported driver. Keep the initial project unchanged, then examine a version with additional assets separately. Record VRAM, RAM, selected GPU and image completeness. If the 8 GB version finishes using system memory while the 16 GB version keeps data local, that is a meaningful condition difference. Do not reduce it to faster without execution evidence. RTX hardware acceleration concerns a supporting backend, while another renderer requires independent validation. Two completed images cannot establish identical support for every material or future scene.
Hold server conditions steady
When replacing a board, record driver, software image, PCI placement and background process count. Repeat with comparable cooling and the same model cache state where possible. Preserve host RAM as well: CPU offload can conceal VRAM pressure and create a different comparison from fully resident work. A 180 W specification does not replace observing the actual draw of two AIB cards. Dividing a whole system result by memory capacity does not establish GPU efficiency. Select the measurement boundary beforehand and explain exactly what changed when moving between hardware variants rather than treating every environmental difference as part of the capacity upgrade.
Produce an admissible workload matrix
The artifact contains both board identities, the LLM manifest, original scene and matched scenario results. Give each row a status: cannot load, runs with offload or passes the selected local budget. Retain errors, memory maxima and settings. If a difference appears only after changing the backend, split the experiment and repeat with a common stack. The decision describes tasks admitted by each RTX 5060 Ti variant under tested conditions. It does not promise arbitrary model fit, equivalent performance or financial returns. The table’s value is preserving the 8/16 GB distinction instead of collapsing it into an ambiguous model name.
RTX 5060 Ti 16GB vs RTX 5070 12GB for Local LLMs · Local LLMs on 16GB VRAM: Narrow the Model Choice · GPU catalog