CPU LLM Inference Research
Research notes on CPU-native LLM inference, memory budgets, quantization, SIMD kernels, runtime architecture, model compatibility, benchmarks, Rust implementation strategy, and testing ladders.
- 11
- 196 min
- 0
- 0
Ordered notes
State of the Art - Open-Source CPU Inference Engines
State of the Art Open Source CPU Inference Engines Research Program: CPU Native LLM Inference Runtime Target Spec: 9B parameter model on 2 vCPUs, 6 GB RAM, 2–5 tokens/second Author: Research Agent Date: June 2025 1....
Memory Architecture for a 9B Model under 6 GB RAM
Memory Architecture for a 9B Model under 6 GB RAM Research Program: CPU Native LLM Inference Runtime Target Spec: 9B parameter model, 2 vCPUs, 6 GB RAM, 2–5 tok/s Author: Research Agent Date: June 2025 1. Introduction:...
Quantization - Formats, Algorithms, and Quality Tradeoffs
Quantization Formats, Algorithms, and Quality Tradeoffs Research Program: CPU Native LLM Inference Runtime Target Spec: 9B parameter model, 2 vCPUs, 6 GB RAM, 2–5 tok/s Author: Research Agent Date: June 2025 1....
CPU Compute Kernels - SIMD, Threading, and Throughput
CPU Compute Kernels SIMD, Threading, and Throughput Research Program: CPU Native LLM Inference Runtime Target Spec: 9B parameter model, 2 vCPUs, 6 GB RAM, 2–5 tok/s Author: Research Agent Date: June 2025 1....
Runtime Architecture - Scheduling, Batching, and Request Handling
Runtime Architecture Scheduling, Batching, and Request Handling Research Program: CPU Native LLM Inference Runtime Target Spec: 9B parameter model, 2 vCPUs, 6 GB RAM, 2–5 tok/s Author: Research Agent Date: June 2025 1....
Target Model Architectures - 9B Class Models in Detail
Target Model Architectures 9B Class Models in Detail Research Program: CPU Native LLM Inference Runtime Target Spec: 9B parameter model, 2 vCPUs, 6 GB RAM, 2–5 tok/s Author: Research Agent Date: June 2025 1....
Benchmarking Landscape and Realistic Performance Targets
Benchmarking Landscape and Realistic Performance Targets Research Program: CPU Native LLM Inference Runtime Target Spec: 9B parameter model, 2 vCPUs, 6 GB RAM, 2–5 tok/s Author: Research Agent Date: June 2025 1....
Implementation Roadmap and Open Problems
Implementation Roadmap and Open Problems Research Program: CPU Native LLM Inference Runtime Target Spec: 9B parameter model, 2 vCPUs, 6 GB RAM, 2–5 tok/s Author: Research Agent Date: June 2025 1. Recommended...
Rust for LLM Inference - Ecosystem Readiness, Crate Landscape, and Gap Analysis
Rust for LLM Inference Ecosystem Readiness, Crate Landscape, and Gap Analysis Research Program: CPU Native LLM Inference Runtime Target Spec: 9B parameter model, 2 vCPUs, 6 GB RAM, 2–5 tok/s Author: Research Agent...
Theoretical Frontiers - Novel Methods and Unprecedented Approaches for CPU LLM Inference
Theoretical Frontiers Novel Methods and Unprecedented Approaches for CPU LLM Inference Research Program: CPU Native LLM Inference Runtime Author: Research Agent Date: June 2025 > "The question is not what is...
Testing Model Registry - From Tiny to Maximum
Testing Model Registry From Tiny to Maximum Research Program: CPU Native LLM Inference Runtime Date: June 2025 Philosophy: Progressive Testing As we implement the runtime, we test against increasingly larger models....