… 04 / 8 Hardware When running an LLM with Ollama, what hardware component has the biggest impact on inference speed? A Hard disk drive HDD read speed B CPU clock speed in GHz C Available VRAM on the GPU D Internet bandwidth Spot on! VRAM is the key bottleneck for local LLM inference. …
… Running a local LLM relies heavily on GPU acceleration, because without it, the responses would slow down to a crawl. …
… It’s not a fork or a separate project; it’s a community-driven build of the exact same MIT-licensed source code that powers VS Code. …
… Overall, the pattern was clear: Codex was instruction-based rather than assumption-driven. …
… The pattern is older than LLMs. …
… An offline LLM running on the NPU is meant to help with device configuration and on-device assistance. …