Blog · tag

#gpu

9 posts tagged #gpu.

RSS · Atom · JSON Feed · All posts

  1. One GPU, many LLMs: the VRAM guards that stopped a driver deadlock

    With 33.9 of 34.2 GB of VRAM in use, a desktop app triggered a 24.7 GB eviction and froze my GPU driver. Here is the VRAM budget and the two guards that now enforce it.

  2. Local AI study guides for thousands of books, capped on purpose

    Hosted study guides cost 80k tokens per part, so I moved to a local 4B model. What broke, the guardrails that fixed it, the 100-chunk and 60-section caps, and why breadth beat depth.

  3. From Ollama to a llama.cpp router: 49 models down to a few presets

    I replaced Ollama with a llama.cpp router on my home-lab GPU: on-demand presets, sleep timers, embedding parity tests, and a log-driven retirement that freed about 400 GB.

  4. Swapping an 8 GB NVIDIA card for a 32 GB AMD GPU: what broke

    I replaced an RTX 4060 Ti with a 32 GB Radeon AI PRO R9700 for local AI. Ten things broke, mostly silently; here they are with fixes, and the before-and-after throughput.

  5. Hybrid search with bge-m3 and Elasticsearch: six lessons

    What I learned building BM25 + kNN hybrid search with reciprocal rank fusion and bge-m3 on one shared GPU: an analyser mismatch (38 to 2,631 hits), RRF pitfalls, embedding timeouts and a highlighting limit.

  6. A passive GPU in a tower: VRAM hit 106 °C while the core throttled

    My new 32 GB passive GPU had no plateau under LLM load and its memory reached 106 °C. Measurements, the limits that were silently ignored, and the fan, power cap and clock limit that fixed it.

  7. ComfyUI on demand: systemd socket activation for a GPU container

    Idle ComfyUI held up to 2.8 GB of VRAM my LLMs needed. A systemd socket now starts it on the first request and stops it after 10 idle minutes, and a guard makes room for image jobs.

  8. Vision-model OCR that keeps the layout: what to trust it with

    A vision model called a bold italic paragraph 'not bold, not italic'. My OCR now lets the model read, Tesseract place small text, and pixel measurement judge typography: 99% precision on italic words.

  9. An AI studio that makes films and 3D prints in Blender

    My AI agents build printable models and short films in a sandboxed Blender over a tool protocol. The hard part is that a text-only model cannot see its own output, so it ships broken geometry as 'watertight' unless you give it sight.