GPU cloud computing at up to 80% less than hyperscalers. Explore pricing for on-demand Pods, Serverless, Clusters, and Network Storage.
GPU Pricing — Live Platform Rates | Vast.ai
Live GPU pricing on Vast.ai. Prices set by supply and demand across 40+ data centers. On-demand, interruptible, or reserved — find the right GPU at the right price.
exabox preorder
This is a fully refundable preorder for an exabox and will be credit on the purchase price. The full purchase price will be close to $10M, so do not buy if that's not your budget for AI compute! The details of the product aren't fully finalized yet, but the basics are this.It's a 20ft shipping container that needs a megawatt of power, 208V or 415V three phase (so 208-240 line). It will be self contained for cooling and weatherproof. Supported temperature and humidity ranges TBD.Like tinyboxes, it will come in both red and green. After you place a preorder, we can discuss what specific GPUs you want. The price will be under $10M and it will have about an exaflop of compute. And just like tinybox, it's 100% ready to run with tinygrad, PyTorch and others. At launch, it should be the absolute best bang for your buck at the price point with respect to FLOPS/$, GB/$ and GB/s/$.The whole box will be connected at at least 400 Gbps and is capable of training as one unit. At 50% MFU, it can do 3e24 (Kimi sized) training runs in 10 weeks. With tinygrad software, it will function as one big GPU, but it is made up of normal computers and you can also use PyTorch.This is ~1% of the purchase price and guarantees your spot in line. We should ship our first exabox Q2 or Q3 of 2027.
Bluefin
The next generation cloud-native Linux workstation, designed for reliability, performance, and sustainability.
qualcomm/nexa-sdk
Run frontier LLMs and VLMs with day-0 model support across GPU, NPU, and CPU, with comprehensive runtime coverage for PC (Python/C++), mobile (Android & iOS), and Linux/IoT (Arm64 & x86 Docker). Supporting OpenAI GPT-OSS, IBM Granite-4, Qwen-3-VL, Gemma-3n, Ministral-3, and more.
Together AI | The AI Native Cloud
Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research.
Rohan Paul on Twitter / X
Google is trying to win AI by making compute cheap, not by beating Nvidia on raw speed.Nvidia sells GPUs to clouds with a big 70%+ margin that sits on top of manufacturing and R&D cost and raises cloud prices.Google builds TPUs for itself at near manufacturing cost, adds no… https://t.co/aSgWRf0HY7 pic.twitter.com/T3Fzc6czwg— Rohan Paul (@rohanpaul_ai) November 25, 2025
Self-host and scale web apps without Kubernetes complexity | Uncloud
Take your Docker Compose apps to production with zero-downtime deployments, automatic HTTPS, and cross-machine scaling. Self-hosting made reliable without the complexity.
Apptainer - Portable, Reproducible Containers
Apptainer is an open source container platform designed to run complex applications on high-performance computing (HPC) clusters in a simple, portable, and reproducible way.
apple/container
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
Mesh LLM: distributed AI computing on iroh
How Mesh LLM pools existing GPU resources across machines into a single OpenAI-compatible API, built on iroh.
MacRumors.com on Twitter / X
Google Announces Its Own Version of Apple's Private Cloud Compute https://t.co/7yTagMwDWp pic.twitter.com/2WmKphBc32— MacRumors.com (@MacRumors) November 12, 2025
The Industry-Leading Container Runtime | Docker
Read about our industry-leading Docker container runtimes. Docker Engine allows containerized apps to run consistently on any infrastructure — from anywhere.
VPS with the Best Price-to-Performance Ratio in the US | Contabo
High-end Cloud VPS hosting for a fair price. Featuring AMD CPUs, lots of RAM (from 8 GB), NVMe storage, and unlimited traffic, with root access. Spin up your cheap VPS in minutes!
Lilypad-Tech/lilypad
Run AI workloads easily in a decentralized GPU network. https://www.youtube.com/watch?v=yQnB2Yxia4Y
What is Podman? How is it Different Than Docker?