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Runpod Blog.

DeepSeek V4 in the wild, and how to run it on Runpod New Runpod datacenter now live: AP-IN-1 Track GPU spend across your team with Cost Centers The GPU supply supercycle is here. Here’s what AI builders need to know. Community Spotlight: One-click AI image and video generation on Runpod with SwarmUI | Runpod Blog Community Spotlight: LoRA Pilot Data Prep to Inference Introducing the Runpod Assistant: Manage Your Cloud GPU Resources with Natural Language OpenAI's Parameter Golf: Train the Best Language Model That Fits in 16MB on Runpod LLM inference optimization: techniques that actually reduce latency and cost Pruna P-Video and Vidu Q3 public endpoints now available on Runpod Runpod brand spelling guide Quickstart - Runpod Documentation The AI market looks nothing like the narrative Training StyleGAN3 with Vision-Aided GAN on Runpod KoboldAI – The Other Roleplay Front End, And Why You May Want to Use It How to Connect Cursor to LLM Pods on Runpod for Seamless AI Dev Prompt Scheduling with Disco Diffusion on Runpod Runpod's Latest Innovation: Dockerless CLI for Streamlined AI Development Run Your Own AI from Your iPhone Using Runpod Introducing Flash: Run GPU workloads on Runpod Serverless: No Docker required Use Claude Code with your own model on Runpod: No Anthropic account required Avoid Errors by Selecting the Proper Resources for Your Pod What hackers built on Runpod at TreeHacks 2026 Easily Back Up and Restore Your Pod with Cloud Sync + Backblaze B2 The Complete Guide to GPU Requirements for LLM Fine-Tuning AI Guides, Tutorials & GPU Infrastructure Insights | Runpod Your first Claude Code project within Runpod: a complete setup guide 10 billion Serverless requests and counting Building for resilience: Runpod’s response to the AWS us-east-1 outage How to Connect Google Colab to Runpod Founder Series #1: The Runpod Origin Story AMD MI300X vs. NVIDIA H100: Mixtral 8x7B Inference Benchmark How to Run the FLUX Image Generator with ComfyUI on Runpod Run Llama 3.1 405B with Ollama on Runpod: Step-by-Step Deployment How to Run FLUX Image Generator with Runpod (No Coding Needed) How to Use 65B+ Language Models on Runpod Deploy Llama 3.1 with vLLM on Runpod Serverless: Fast, Scalable Inference in Minutes Open Source Video & LLM Roundup: The Best of What’s New Run vLLM on Runpod Serverless: Deploy Open Source LLMs in Minutes Introduction to vLLM and PagedAttention New update to Github integration: release rollback! | Runpod Blog A note to the developers who built Runpod with us Deploy ComfyUI as a Serverless API Endpoint Setting up Slurm on Runpod Clusters: A Technical Guide Building an OCR System Using Runpod Serverless From No-Code to Pro: Optimizing Mistral-7B on Runpod for Power Users Lessons While Using Generative Language and Audio For Practical Use Cases Runpod RoundUp 3 – AI Music and Stock Sound Effect Creation New Navigational Changes To Runpod UI Use alpha_value To Blast Through Context Limits in LLaMa-2 Models Runpod Roundup 5 – Visual/Language Comprehension, Code-Focused LLMs, and Bias Detection Runpod is Proud to Sponsor the StockDory Chess Engine Runpod Roundup 4 – Open Source LLM Evaluators, 3D Scene Reconstruction, Vector Search Meta and Microsoft Release Llama 2 as Open Source SuperHot 8k Token Context Models Are Here For Text Generation How to Manage Funding Your Runpod Account Encrypted Volumes on Runpod: Protect Your Data at Rest How to Run a "Hello World" on Runpod Serverless Runpod AI field notes: December 2025 Faster GitHub Builds: Major Performance Improvements to Our Automated Integration Partnering with Defined AI to Bridge the Data Wealth Gap How to Run Serverless AI and ML Workloads on Runpod How to fine-tune a model using Axolotl Transcribe and translate audio files with Faster Whisper Runpod Achieves SOC 2 Type II Certification: Continuing Our Compliance Journey Orchestrating GPU workloads on Runpod with dstack Exploring Runpod Serverless: Create Workers From Templates DeepSeek V3.1: A Technical Analysis of Key Changes from V3-0324 Deep Cogito Releases Suite of LLMs Trained with Iterative Policy Improvement Wan 2.2 Releases With a Plethora Of New Features Iterative Refinement Chains with Small Language Models The New Runpod.io: Clearer, Faster, Built for What’s Next Introducing Clusters: On-Demand Multi-Node AI Compute Run DeepSeek R1 on Just 480GB of VRAM How Do I Transfer Data Into My Runpod? Spot vs. On-Demand Instances: What’s the Difference? Deploy GitHub Repos to Runpod with One Click Run GGUF Quantized Models Easily with KoboldCPP on Runpod How to Work with GGUF Quantizations in KoboldCPP Introducing Better Forge: Spin Up Stable Diffusion Pods Faster Supercharge Your LLMs with SGLang: Boost Performance and Customization Mastering Serverless Scaling on Runpod: Optimize Performance and Reduce Costs RAG vs. Fine-Tuning: Which Is Best for Your LLM? Run Larger LLMs on Runpod Serverless Than Ever Before – Llama-3 70B (and beyond!) How to Run vLLM on Runpod Serverless (Beginner-Friendly Guide) Embracing New Beginnings: Welcoming Banana.dev Community to Runpod Stable Diffusion + ComfyUI on Runpod: Easy Setup Guide Runpod RoundUp 2 – 32k Token Context LLMs and New StabilityAI Offerings Runpod Roundup: High-Context LLMs, SDXL, and Llama 2 16k Context LLM Models Now Available On Runpod Savings Plans Are Here For Secure Cloud Pods – How To Purchase a Monthly Plan And Save Big Pygmalion-7b from PygmalionAI has been released, and it's amazing Ada Architecture Pods Are Here – How Do They Stack Up Against Ampere? Spin up a Text Generation Pod with Vicuna and Experience a GPT-4 Rival Using OpenPose to Annotate Poses Within Stable Diffusion Set Up a Chatbot with Oobabooga on Runpod Connect VSCode to Your Runpod Instance (Quick SSH Guide) Deploy a Stable Diffusion UI on Runpod in Minutes Google Colab Pro vs. Runpod: Best GPU Cloud for AI Workloads How to Run a GPU-Accelerated Virtual Desktop on Runpod
Community Spotlight: How AnonAI Scaled Its Private Chatbot Platform with Runpod
Brendan McKeag · 2026-03-11 · via Runpod Blog.

Runpod is pleased to share the story of one of our valued clients, Autonomous. We at Runpod believe very strongly in the power of free speech and privacy - our pods are run in secure environments with optional encryption and we stand by our promise that we do not inspect your pod data or transmissions, nor do we allow our hosts to do so. AnonAI is a platform utilizing AI chatbots that let you speak privately and freely to any of the agents that have been created for their platform, while also allowing you to create your own agents and even earn revenue from other users that chat with them. Autonomous has recently reached a milestone of 40,000 users, 80,000 text prompts, and 60,000 image prompts after using Runpod for just three months and we are excited to share their success story with you of how they built and scaled their project.

Autonomous private chatbot interface screenshot

The Story behind AnonAI

Large language model based chatbots have grown to be a multi-billion dollar industry, with use cases ranging from healthcare, customer service, creative writing, companionship, and personal device management. Equally pressing, though, are concerns over data retention and privacy - where is your data going, where is it held, and what is it being used for? Even among the best actors, many AI apps can collect vast amounts of user data, storing it in centralized servers vulnerable to data breaches and unauthorized access. Companies may also share your data with third parties, which would compromise your privacy.

AnonAI takes a bold approach to AI by avoiding data collection altogether. This means that personal data, including identities, prompts and AI-generated responses, is never stored or logged onto our servers. Instead, user requests are routed through a decentralized pool of GPUs run by Runpod, processed in real-time, and streamed directly back to your browser - here's a video demonstrating the process.

On its back end, AnonAI uses Llama 405b for text generation, and Llama 3.2 Vision and Flux for image recognization and handling. Pods are preferable for this process, due to the team's prior familiarity with their architecture, and the platform offering a wide variety of GPUs at affordable prices along with an affordable A40 offering, and stable connectivity. On Runpod, you can start with a familiar pre-built template like text-generation-webui or vLLM, and eventually build your own customized template built off of a Docker image once you have a better handle on your needs.

Spin up your Own A40 Pod Now

Use cases and features of AnonAI

The team behind AnonAI describes its product as the "private AI for work" - privacy by default, with no account, no login, and no tracking. All conversations are stored locally on your device, powered by the best open source AI models listed above.

AnonAI chat where the Llama agent explains confidentiality, neutrality, and respectful dialogue

Beyond that, the team has also created an agent economy with AI that empowers anyone to design, sell, and profit from their own agent for passive income, no coding skills required. Anyone, regardless of their background, can create or monetize their own agent with the "Create Your Own Anon Agent" feature that lets you build a personalized agent from scratch. All conversations are end to end encrypted (E2EE) and neither Runpod nor AnonAI have access to the content, as it's all stored locally on your device. No limits, safeguards, or restrictions in place; the only kind of refusal you might experience is something that might be baked into the model itself, but that's nothing that some creative prompting can't fix, usually.

Conclusion

The team would like to conclude with the following statement: "We've had a great experience using Runpod for AnonAI - our Private AI Assistant. Compared to our previous provider, Runpod offers a more affordable A40 product, stable connectivity, fast service creation, user-friendly UI/UX, and easy payment. You can find AnonAI live AnonAI." (note: potential adult themes may be displayed, proceed with discretion.)

We are thrilled to see the team's success with what they've created so far, and are looking forward to see what they come up with next!

Author profile: Brendan McKeag