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local.ai

An app for offline AI experimentation without a GPU.

10k 热度 AI开发平台 AI experiment native app local AI management verification inferencing offline AI CPU inferencing GPU inferencing model management digest verification inference server
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软件新闻

VMware nods to AI but looks to long-term

发布日期:2025-09-11

Owner of VMware, Broadcom, announced that its VMware Cloud Foundation platform is now AI native at the VMware Explore conference a few weeks ago. It was the latest move by the company to keep up to speed with the rest of the technology industry’s wide and rapid adoption of large language models, yet came as […] The post VMware nods to AI but looks to long-term appeared first on AI News.

Yext Scout Guides Brands Through AI Search Challenges

发布日期:2025-09-11

Customers are discovering brands and learning about products and services in new ways from traditional search to AI search, to AI agents and more, the discovery journey has completely changed, and brands need to adapt to the new paradigm. Launched earlier this year, Yext Scout is an AI search and competitive intelligence agent that’s designed […] The post Yext Scout Guides Brands Through AI Search Challenges appeared first on AI News.

SoundHound Vision AI:当语音助手获得视觉能力,多模态交互迎来新突破

发布日期:2025-08-12

语音AI领域的领军企业SoundHound近日发布革命性Vision AI系统,将视觉识别与语音技术深度融合。这项技术突破让AI能够同时处理视觉和听觉信息,实现真正意义上的多模态交互。从汽车导航到工业维修,从零售盘点到餐饮点单,Vision AI正在重新定义人机交互的边界,为各行业带来更自然、更智能的解决方案。

使用指南

What is Local AI Playground?

The Local AI Playground is a native app designed to simplify the process of experimenting with AI models locally. It allows you to perform AI tasks offline and in private, without the need for a GPU.

How to use Local AI Playground?

To use the Local AI Playground, simply install the app on your computer. It supports various platforms such as Windows, Mac, and Linux. Once installed, you can start an inference session with the provided AI models in just two clicks. You can also manage your AI models, verify their integrity, and start a local streaming server for AI inferencing.

Local AI Playground's Core Features

CPU inferencing

Adapts to available threads

GGML quantization

Model management

Resumable, concurrent downloader

Digest verification

Streaming server

Quick inference UI

Writes to .mdx

Inference params

Local AI Playground's Use Cases

#1

Experimenting with AI models offline

#2

Performing AI tasks without requiring a GPU

#3

Managing and organizing AI models

#4

Verifying the integrity of downloaded models

#5

Setting up a local AI inferencing server

FAQ from Local AI Playground

What is the Local AI Playground?

How do I use the Local AI Playground?

What are the core features of the Local AI Playground?

What are the use cases for the Local AI Playground?

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