# Mesh Applied Task-Specialized Models

> Open models optimized for local inference tasks.
- Title: Mesh Applied Task-Specialized Models · Mesh | Shortify
- Summary: Open models optimized for local inference tasks. Mesh applied creates task-specific open models that run fast on local hardware for coding and research.
- Keywords: mesh applied, deepseek v4.1 flash ternary, qwen3.8 flash next nvfp4, rtx6000, goethe framework, open source models, local inference, technology, startups, Mesh, Applied, Task-Specialized
- Source: Mesh — https://meshapplied.com
- Read time: 1 min
- Topics: mesh applied, deepseek v4.1 flash ternary, qwen3.8 flash next nvfp4, rtx6000, goethe framework, open source models, local inference, technology, startups
## Mesh Applied
Mesh applied creates task-specific open models for local inference needs.
## DeepSeek-V4.1-Flash-Ternary
DeepSeek-V4.1-Flash-Ternary runs on 4x RTX6000 hardware with 276 tokens per second for complex coding and research.
## Qwen3.8-Flash-Next-NVFP4
Qwen3.8-Flash-Next-NVFP4 runs on 1x RTX6000 hardware with 334 tokens per second for coding and everyday tasks.
## Key takeaway

Mesh applied creates task-specific open models that run fast on local hardware for coding and research.