CPU, GPU AND RAM

NVIDIA TITAN X Pascal for LLM inference and GPU rendering

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THE QUICK TAKE

Identify TITAN X Pascal by architecture and CC rather than name alone; board power stays unknown until supported by a source.

Make Pascal explicit in the name

NVIDIA’s Pascal material confirms a TITAN X with 12 GB GDDR5X. It is neither TITAN Xp nor GTX TITAN X Maxwell. A reliable live board power specification has not been selected for this profile, so the value remains unknown. Do not reconstruct it from another TITAN or current telemetry. The table concerns one GPU. Preserve identity, architecture and actual board design for existing hardware. An ambiguous name can otherwise select the wrong binary, memory budget or driver instructions before LLM and scene acceptance even starts. Keep verified identity separate from assumed product properties.

Official variantMemory per GPUMemory typeBoard powerEvidence
NVIDIA TITAN X Pascal — 2016 TITAN X Pascal 12 GB12 GBGDDR5XNot verifiedSpecification

Check CC and the legacy toolchain

The NVIDIA table distinguishes Pascal TITAN X CC 6.1 from Maxwell GTX TITAN X CC 5.2. Pascal is also below the current vLLM minimum of 7.5, so standard support is not claimed. For llama.cpp CUDA, pin commit, target and observed GPU execution. NVIDIA documents removal of pre-7.5 offline compilation from CUDA 13, requiring a compatible documented route, such as suitable CUDA 12 and a supported driver. That does not guarantee every current wheel or kernel. Complete a bounded request while keeping CPU and RAM involvement visible in the report.

Assess Cycles independently from vLLM

Blender 5.2 Cycles specifies CUDA CC 5.0 and OptiX conditions including driver 575 or newer. Pascal clears the general hardware floor, but still needs a suitable build and device detection. No RTX RT cores does not automatically prohibit every OptiX scenario. Preserve project, assets, backend and image for TITAN X. Host memory involvement differs from local fit in 12 GB. Another renderer needs separate documentation. One small project does not certify every feature, and total file size cannot establish geometry and preparation structures’ actual runtime footprint. Keep the accepted scene explicit.

Preserve inventory unknowns

The registry retains each specification source separately from observations. Unknown power must not become zero or enter efficiency comparisons. Select actual board documentation for supply, connectors and cooling before server placement. Preserve driver and toolchain so an upgrade cannot silently replace a working legacy build with an unsuitable modern binary. Observe resident processes and host memory between jobs. Multiple cards do not automatically form one application memory space. Forced clocks or disabled protections cannot resolve software incompatibility; start with a minimal reproducible case and exact selected device identity. Keep environment changes controlled during diagnosis.

Resolve the ambiguous name through evidence

The package contains raw inventory, CC, Pascal confirmation, binary versions, LLM and scene manifests and results. If names match but CC differs, correct classification before transferring old results to another architecture. If the GPU path fails, inspect target and operations. If memory constrains execution, examine workload budget separately. The conclusion concerns one TITAN X Pascal and a supported legacy environment. It claims neither current vLLM support nor known TPS, universal fit or board power without evidence. This preserves useful facts while identifying what remains necessary for a stronger technical conclusion. Keep uncertainty beside successful workloads.

Build a GPU Inventory CSV with nvidia-smi · Build llama.cpp CUDA binaries for multiple GPU architectures · GPU catalog

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