One-Click Local LLM Inference With Cutting-Edge Speed

C6/10May 5, 2026
WhatA desktop application that automatically selects, quantizes, and configures the fastest open model plus its MTP drafter for your specific GPU, delivering 100+ tokens-per-second out of the box.
SignalMultiple users express frustration that promising speed features like MTP are announced but not yet available in popular local tools like LM Studio, llama.cpp, or MLX — they want the performance now without tracking GitHub PRs and manually configuring backends.
Why NowSub-1B drafter models and MTP-capable checkpoints are shipping from Google, NVIDIA, and DeepSeek right now, but the two dominant local runtimes (llama.cpp and MLX) still lack merged support, creating a clear window for a purpose-built tool.
MarketMillions of developers and power users running local LLMs; willingness to pay proven by LM Studio's traction; gap is that no local tool auto-configures MTP/speculative decoding per-hardware.
MoatHardware-specific performance profiles and auto-tuning heuristics built across thousands of GPU/model combinations create switching costs once users rely on the tool for their workflow.
Accelerating Gemma 4: faster inference with multi-token prediction drafters View discussion ↗ · Article ↗ · 613 pts · May 5, 2026

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