#self-hosting
#self-hosting

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Run Deepseek (Or Any Other AI Model) In Your Home With a Few Lines of Code

Implementing private chatbots can be a practical alternative to proprietary services like ChatGPT.

DeepSeek allows users to operate effective multilingual chatbots on basic hardware.

How to Install n8n Locally for Unlimited Free Private Automations

n8n is an open-source workflow automation platform allowing local installations for full data control without ongoing costs.

It provides an intuitive dashboard for managing workflows and offers advanced features for custom integrations.

Think you need a VPN? Start here. | TechCrunch

You may not need a VPN, and trusting them entirely can be problematic.

How I Hosted My Hobby Projects From a Cheap HP Mini Desktop From My Closet (Verizon Fios) | HackerNoon

Self-hosting fosters personal experimentation and deepens understanding of the developer experience.

Portainer Plus Gitops: a Simple Way to Deploy and Manage Your Self-hosted Applications | HackerNoon

Docker simplifies self-hosting applications, enabling users to run containers without deep technical knowledge.

Failing to connect Commento with PostgreSQL

Commento can be self-hosted with PostgreSQL to avoid monthly fees, allowing blog comments integration with Hugo sites.

#large-language-models

Navigating LLM Deployment: Tips, Tricks, and Techniques

Businesses choose self-hosting for privacy, improved performance, and cost savings.

Self-hosting is challenging due to model size, GPU costs, and rapid evolution.

Quantization helps in achieving better performance with reduced model sizes.

Batching and parallelism can significantly improve GPU efficiency.

Navigating LLM Deployment: Tips, Tricks and Techniques by Meryem Arik at Qcon London

Initial proofs of concept benefit from hosted solutions, but self-hosting is necessary for scaling models to cut costs, enhance performance, and meet security needs.

Using quantization and optimizing inference can help maximize GPU resources and efficiency in deploying Large Language Models.

Navigating LLM Deployment: Tips, Tricks, and Techniques

Businesses choose self-hosting for privacy, improved performance, and cost savings.

Self-hosting is challenging due to model size, GPU costs, and rapid evolution.

Quantization helps in achieving better performance with reduced model sizes.

Batching and parallelism can significantly improve GPU efficiency.

Navigating LLM Deployment: Tips, Tricks and Techniques by Meryem Arik at Qcon London

Initial proofs of concept benefit from hosted solutions, but self-hosting is necessary for scaling models to cut costs, enhance performance, and meet security needs.

Using quantization and optimizing inference can help maximize GPU resources and efficiency in deploying Large Language Models.

morelarge-language-models

Speed-up rails test suites with self-hosted Github Actions runners

Self-hosted GitHub Actions runners can save costs and increase performance for Rails developers.

Users have reported up to 80% savings while improving test suite speeds.

The Adult Swim Games delisting situation is strange, even to lawyers

Adult Swim Games delisting is unusual, not a routine licensing or financial issue.

Developers face challenges in self-hosting games when faced with unexpected delistings.

What is Self Hosted? What is a Stack?

Counterscale is a tool for self-hosted analytics but relies on Cloudflare to operate, raising questions about true self-hosting.

The concept of software stacks like LAMP and WAMP highlights the importance of technological choices in enabling self-hosting solutions.

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