In the era of generative AI, developers are continually seeking ways to quickly deploy and share their AI models without relying on complex cloud infrastructures. LM Studio offers a seamless experience to download, install, and run AI models locally, while tools like Pinggy enable you to expose your local endpoints to the internet securely. This guide provides a step-by-step tutorial on sharing your LM Studio API online, making your AI models accessible and shareable in minutes.

In the era of generative AI, self-hosting large language models (LLMs) gives developers full control over data privacy and model customization. OpenLLM emerges as a powerful toolkit for deploying models like Llama 3 or Mistral locally, while Pinggy enables secure internet exposure without complex infrastructure. This guide walks you through self-hosting an LLM endpoint with a public URL, making it accessible and shareable in minutes. Summary Install OpenLLM & Deploy a Model

In today’s digital-first world, where users demand fast, reliable, and uninterrupted access to web applications, the ability to efficiently distribute traffic across servers is critical. DNS load balancing is a foundational technique that enables organizations to achieve this by leveraging the Domain Name System (DNS) to intelligently route user requests to the most optimal servers. Whether it’s a global e-commerce platform handling millions of transactions or a streaming service delivering high-definition content, DNS load balancing plays a pivotal role in ensuring seamless performance and high availability.

In today’s AI-driven world, deploying large language models (LLMs) like Meta’s Llama 3, Google’s Gemma, or Mistral locally offers unparalleled control over data privacy and customization. However, sharing these tools securely over the internet unlocks collaborative potential—whether you’re a developer showcasing a prototype, a researcher collaborating with peers, or a business integrating AI into customer-facing apps. This comprehensive guide will walk you through exposing Ollama’s API and Open WebUI online using Pinggy, a powerful tunneling service.

In an era where data privacy and digital autonomy are paramount, self-hosted apps have emerged as powerful alternatives to proprietary, cloud-based solutions. By hosting software on your own server, you retain full control over your data, avoid vendor lock-in, and enjoy enhanced privacy—all while saving costs (most self-hosted tools are free and open-source). Whether you’re a business, developer, or privacy-conscious individual, these apps empower you to break free from Big Tech’s constraints.

Making your Vue.js app accessible on the internet doesn’t have to be complicated. If you’re new to Vue.js, it’s a progressive JavaScript framework that makes building interactive user interfaces and single-page applications a breeze. Whether you’re working on a personal project, sharing progress with teammates, or testing your app on real devices, getting it online securely can feel like a challenge—especially if setting up servers isn’t your thing. That’s where Pinggy comes in.

Hosting your Nuxt.Js app on the internet securely and without complex server setups is now easier than ever, thanks to Pinggy. This guide explains how you can expose your locally hosted Nuxt app to the web using Pinggy, a tunneling solution similar to Ngrok. Summary Run Nuxt.js App Create and set up your Nuxt.js app: npx create-nuxt-app my-nuxt-app cd my-nuxt-app npm run dev Create a Tunnel with Pinggy Start SSH tunnel: ssh -p 443 -R0:localhost:3000 a.

TLS (Transport Layer Security) is a cryptographic protocol that establishes encrypted channels for secure communication over the internet, preserving data confidentiality. It plays a crucial role in safeguarding sensitive information, such as passwords, financial details, and personal data, by preventing eavesdropping and tampering during transmission. TLS achieves this by using digital certificates to verify the server’s identity, establishing trust between the server and the client. However, TLS typically involves one-way authentication, where the client verifies the server but remains unauthenticated.