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Self-Hosting Local LLMs in 2026: Ollama vs vLLM vs LM Studio Benchmarks

2026-10-04 • 8 min read • AI Tools • By Masbin Digital Labs

For high-volume production workloads, hosting open-weights models like LLaMA 3.3 or DeepSeek on dedicated cloud GPUs offers massive cost savings over proprietary APIs.

1. Throughput: vLLM PagedAttention

vLLM delivers up to 15x higher request throughput than single-stream runners by efficiently managing KV cache memory fragmentation across concurrent users.

2. Developer Ergonomics: Ollama Local CLI

For rapid local prototyping and single-user development, Ollama remains the most frictionless tool for launching GGUF quantized models with one terminal command.

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