Splash Engine - the fastest local Qwen3.8 on Apple Silicon

Inco AI released Splash, an open-source inference engine for running Qwen3.6-35B-A3B and Qwen3.8-27B locally on Apple silicon, which in Inco's tests on a 48 GB M5 Pro delivered 74 tokens per second on short prompts and 54 at 32K context on Qwen3.8-27B — roughly twice the decode speed of the next-fastest engine measured. With four concurrent requests on short prompts, Splash reached 170 tokens per second combined, 3.9× the next-fastest engine in the comparison. Splash is available through LM Studio Bionic 1.1.5 or newer and requires an M3-or-newer Mac running macOS 26.4 or later with at least 36 GB of unified memory, with Inco recommending 48 GB or more.

Splash Engine - the fastest local Qwen3.8 on Apple Silicon What is Splash Engine? Splash is an open-source inference engine from Inco AI https://inco.ai/ for running language models locally on Apple silicon. It is optimized specifically for Qwen3.6-35B-A3B and Qwen3.8-27B. The engine provides GPU kernels and a memory plan tailored to each supported model. Each model ships with a dedicated DFlash 2 draft model for speculative decoding, which improves generation speed. In Inco's tests on a 48 GB M5 Pro, Splash delivered roughly twice the decode speed of the next-fastest engine they measured on Qwen3.8-27B: 74 tokens per second on short prompts and 54 at 32K context. With four concurrent requests on short prompts, its combined throughput reached 170 tokens per second—3.9× the next-fastest engine in their comparison. Read more about Splash in Inco's blog post https://inco.ai/blog/splash . Use it in LM Studio Bionic Download and install LM Studio Bionic https://lmstudio.ai 1.1.5 or newer, then open the app. Splash requires an M3-or-newer Mac running macOS 26.4 or later with at least 36 GB of unified memory; Inco recommends 48 GB or more. Navigate to Settings Runtime . Under Experimental backends , click Download next to Splash Metal to install the engine. Download the Splash engine from Settings Runtime. Then go to Settings Explore , paste one of the following Hugging Face links into the search bar, select the model, and click Download : Once the download finishes, start a new session and select the model from the local model picker.