Benchmarking Ollama, llama.cpp, and vLLM across modern desktop GPUs and Apple M4 chips for private, zero-latency inference.
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The assumption that cutting-edge AI must remain tethered to centralized cloud APIs is being dismantled. Thanks to advances in GGUF quantization, FlashAttention-3, and unified memory architectures, developers can now run 70-billion-parameter frontier models directly on personal workstations.
Benchmarking Ollama, llama.cpp, and vLLM across modern desktop GPUs and Apple M4 chips for private, zero-latency inference.
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