AINewsnow

Ollama, llama.cpp or vLLM: pick by workload, not by benchmark Tags:llm, localllm, performance, ai

This story is from 2026-11-04. It is preserved in the archive; the latest stories are on the live feed.

Every few weeks a new benchmark says one local inference stack is X% faster than another. The numbers are usually real. They're also usually answering a different question than the one you have. Here's how I choose, by workload. One person, trying models → Ollama. If you're pulling a new model ever…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-11-04 04:38 · DEV Community — AI
    Ollama, llama.cpp or vLLM: pick by workload, not by benchmark Tags:llm, localllm, performance, ai

More stories

  1. CyberTiel35BA3B working on Blender Rigging via MCP. 8GB VRAM, 16GB RAM. llama.cpp. — r/LocalLLaMA
  2. Zero-Downtime LLM Inference on Kubernetes Spot Instances (~70% GPU Cost Savings) — DEV Community — Machine Learning
  3. The inference engine flood.. but where's the quality? — r/LocalLLM
  4. moe-cache : LRFU/MQ-like hybrid cache, ClassLRU by sanmai · Pull Request #31233 · ggml-org/llama.cpp — r/LocalLLaMA
  5. Opus 5.5 wrote its own quantiser for Qwen3.5-0.8B, no llama-quantize, no imatrix. 5.9× better than Unsloth's same-size file. — r/LocalLLM
  6. Does 2-Bit Quantization Break On-Device Safety? What an EMNLP 2026 Study Found, and a GGUF Release Gate — DEV Community — Machine Learning
  7. Benefits of moving to Linux — r/LocalLLM
  8. I built LLM-Surgeon: A Zero-Dependency CLI combining CanIRun.ai + Artificial Analysis + llmfit for Local AI Hardware Diagnostics — DEV Community — AI

Get the daily brief of stories like this at 6:30 every morning →