The original title is: "Running LLMs on CPU in 2026: Benchmarks and Cost Optimization on a 4-Core Xeon VPS"

Short summary

Detailed benchmarks for running LLMs on a $40/month 4-core Xeon VPS with no GPU, achieving 3-4 tokens/second with Q4_K_M quantized models via llama.cpp. A hybrid architecture handling 70% of requests locally reduced API costs from $120 to $35 monthly. Covers quantization choices, speculative decoding, thread tuning, and framework comparisons for production CPU inference pipelines.

• •Q4_K_M quantized 7B models run at 3-4 tok/s on a 4-core Xeon VPS
• •Hybrid local+API architecture cut API costs by 70%
• •llama.cpp remains the most mature CPU inference framework in 2026

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