Magnitude vs Ollama: Hardware-Tuned Kernels Cut Inference Latency in Half
The Problem: Ollama's One-Size-Fits-All Kernel Leaves Performance on the Table Running a 70B model on heterogeneous hardware exposes Ollama's core architectural constraint: it ships pre-compiled GGML kernels optimized for generic x86/ARM profiles. Your M2 Max, RTX 4090, or AMD 7950X all run the sam…
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- 2026-10-17 21:03 · DEV Community — Machine Learning
Magnitude vs Ollama: Hardware-Tuned Kernels Cut Inference Latency in Half