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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!
We're making "waiting for payouts" a thing of the past.
Huge win for the @GPUAutopilot community. Welcome to the fastest liquidity in the market.
We’re excited to partner with @quickpodio
Hosts who join their platform through us can get 3% off platform fees.
They offer:
- fiat payouts every Monday
- busy stable marketplace
Join discord for details.
@HobbyistMiner @maxvoltage gpuautopilot.com/
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.
GPU Autopilot now supports @quickpodio
Connect your API key and let the agent auto-price your GPUs. Stop leaving money on the table. Sign up free and let it run. Use code: quickpod100 for more details visit gpuautopilot.com/ or join our discord.
QuickPod retweeted
Replying to @Zun2025
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
QuickPod retweeted
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 @boundlesshq 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.
QuickPod retweeted
NVIDIA CEO Jensen Huang announces the GB10 superchip GPU+CPU package for use with workstations packing 1 petaFLOPS of compute and a 4TB SSD
QuickPod retweeted
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









