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REDDIT · REDDIT// 32d agoINFRASTRUCTURE
RTX A4000 fits older Ollama builds
A LocalLLaMA thread asks whether an older Xeon workstation with 128GB RAM can still make good use of an NVIDIA RTX A4000 for an Ollama proof of concept. The setup looks viable for local coding-model work because the GPU's 16GB VRAM and manageable power draw matter more than PCIe 3.0 for inference, though larger models will still hit a hard ceiling fast.
// ANALYSIS
For a budget local-LLM box, this is the right kind of compromise: reuse the old server, spend on the GPU, and accept that VRAM — not platform age — will define the experience.
- –NVIDIA positions the RTX A4000 as a single-slot 16GB GDDR6 workstation GPU with 140W power draw, which makes it easier to drop into an older chassis than bulkier gaming cards
- –PCIe 3.0 is usually not the real bottleneck for Ollama once a model is loaded into VRAM; model size, quantization, and memory headroom matter more for day-to-day coding performance
- –16GB VRAM is enough for many quantized 7B to 14B class coding models, but it is not a comfortable tier for larger agents, long contexts, or heavier multitasking
- –The system's 128GB RAM gives useful room for offload and experimentation, but an older Xeon platform will still feel secondary to a newer box once the project grows past proof-of-concept stage
// TAGS
nvidia-rtx-a4000ollamagpuinferencelocal-llm
DISCOVERED
32d ago
2026-03-10
PUBLISHED
32d ago
2026-03-10
RELEVANCE
6/ 10
AUTHOR
LtDrogo