console.quickpod.io #QuickPodIO 4090s available now! 🚀 Rent GPUs at low prices. Perfect for AI hobbyists running short training sessions for personal models. We’re growing fast, so check it out and start training today!

if you’re still paying for tokens to write code, you’re renting your logic. you can own the model and the workflow without owning the heat and the power bill. high-tier VRAM on-demand = unlimited tokens for complex refactors. see our previous post x.com/quickpodio/status/2050…

Run Qwen 3.5 Qwen 3.6 on #QuickPodIO for Claude, Codex, API clients, or any coding agent. 24GB VRAM GPUs start around $0.12-$0.40/hr, about $0.96-$3.20 for an 8-hour coding session, with no per-token API billing. This is a custom fork that works well with QuickPod. Check instructions on this repository to get started. github.com/geocine/llama-swa…

You don't want a "standard environment" , you want total control. ​QuickPod.io just unlocked full CPU and GPU VMs. ​No more fighting system-level constraints or restricted kernels. Just raw, isolated power for your AI models and custom dev stacks.

We love seeing builders create on top of QuickPod.io @GPUAutopilot just rolled out full integration for our hosts, giving you 24/7 automated pricing and market intelligence. We’re committed to being the most flexible home for your GPUs. Use the tools you love, maximize your yields, and stay ahead of the market.

From PoW mining like Bitcoin to prover-based mining like Boundless, the competition was not always about the power of hardware but the ability of the miners in optimizing the source code Boundless offered an opensource binary code to enable miners with coding knowledge to compete My prover currently locks >20 orders per hour, and while my GPU cluster is a factor, my real advantage comes from code optimization that allows me to lock orders faster Anyway, the team is aware of this and has mentioned that there might be new updates to make the system more accessible for non-techy users

Diffusion video models but now - **realtime**! Simple video filters are real-time but can only do basic re-coloring and styles. Video diffusion models (Veo and friends) are magic, but they take many seconds/minutes to generate. MirageLSD is real-time magic. Unlike simple video filters, diffusion models actually *understand* what they are looking at, so they can style all parts of the feed intelligently (e.g. putting hats on heads, or light sabers into hands, etc.). And they are arbitrarily steerable, e.g. by text prompts. Customizable, intelligent video filters unlock many cool ideas over time: - transform camera feeds into alternate realities - direct and shoot your own movies, acting out scenes with props. Realtime => instant feedback/review. - vibe code games around just simple spheres/blocks, then use a real-time diffusion model to texture your game to make it beautiful. - style and customize any video feed: games, videos, ... e.g. Skyrim but "MORE EPIC"? DOOM II but modern Unreal Engine quality with just a prompt? Horror movie but "cute, pink and bunnies only"? I don't know! - zoom call backgrounds - real-time try on clothes virtually - glasses: e.g. cartoonify your vision in real time? - we can now build Harry Potter Mirror of Erised, showing the "raw feed" of you in the mirror but augmented with your deepest desires (as inferred by the AI). - I don't know, I'm probably missing the biggest one, so many things! (Disclosure I am (very small) angel investor in Decart, I was excited because imo this technology will get very good very fast and it feels general, powerful but it's also technically very difficult. Congrats on the launch to the team!)

Guide on running @boundless_xyz prover on #QuickPodIO. Quick and easy setup, share and discuss your configs on our discord. github.com/quickpod/boundles…

Fixed the guide on running @gensynai on #QuickPodIO. Please visit our discord for any questions. github.com/quickpod/gensyn

console.quickpod.io #QuickPodIO Just got a few 5090s ready for testing. If you're looking to run your workloads try QuickPod today.

NVIDIA CEO Jensen Huang announces the GB10 superchip GPU CPU package for use with workstations packing 1 petaFLOPS of compute and a 4TB SSD

Created a video how to train Flux LoRAs using my convenience script utilizing ai-toolkit on @quickpodio youtu.be/0I06JHyvuwQ

New JupyterLab templates for CUDA 11.8, 12.4, and 12.6 are here! Tested with RunPod AI scripts from popular creators. If it works on RunPod, it works on QuickPod. Files stay safe, and you’re only charged for storage when pods are stopped. console.quickpod.io