BaseRT

6.4x faster than llama.cpp, 3.9x faster than MLX

Artificial IntelligenceAppleOpen Source

▲ 176 votes28 commentsLaunched Jul 19, 2026

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BaseRT is the fastest LLM runtime on Apple Silicon. Install it with one command and run local models on your own device.

AI Analysis

📝 Summary

BaseRT is the fastest open-source LLM runtime for Apple Silicon, delivering 6.4x faster performance than llama.cpp and 3.9x faster than MLX. It features one-command installation to run local models directly on user devices. It addresses key pain points including slow inference speeds, complex setup processes, and reliance on cloud services for AI tasks. The core value proposition is enabling efficient, private, and high-performance on-device AI for Apple users without sacrificing speed or requiring external infrastructure.

📈 Market Timing

The timing is favorable for 2025-2026 as on-device AI gains momentum with Apple's ecosystem push, rising privacy regulations, and demand for offline capabilities amid maturing local LLM tech. Economic factors favor reducing cloud costs while Apple Silicon adoption grows. Excellent Timing.

✅ Feasibility

High feasibility due to existing open-source implementation with simple one-command install, relatively low ongoing operational costs, and strong scalability across Apple Silicon devices. Technical optimizations are proven but require continued maintenance for new models. Minimal supply chain risks as it's software-only. High.

🎯 Target Market

Primary segments: Developers, AI researchers, and tech enthusiasts using Apple Silicon Macs (M-series chips), concentrated in North America, Europe, and tech hubs in Asia. Industries focus on AI/ML and software dev. TAM for on-device AI tools exceeds $5B with SAM for Apple ecosystem around $1B+. Core pains are slow local performance and privacy risks. Moderate-to-high willingness to pay for enterprise features or support despite open-source core.

⚔️ Competition

Medium. Direct competitors: llama.cpp (github.com/ggerganov/llama.cpp), MLX (github.com/ml-explore/mlx), Ollama (ollama.com), LM Studio (lmstudio.ai). Advantages: superior claimed speed on Apple Silicon and simple install. Disadvantages: potentially narrower ecosystem/integration compared to more mature competitors with broader UI and model support. Strong performance differentiation but faces pressure from established open-source alternatives.

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