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.
Pricing | Runpod
GPU cloud computing at up to 80% less than hyperscalers. Explore pricing for on-demand Pods, Serverless, Clusters, and Network Storage.
OpenAI Chat GPT OSS 20b Open Source LLM Full Local Ai Review
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.
GMKtec NucBox G3 Plus Mini PC Intel® 12th Twin Lake N150
GMKtec NucBox G3 PLUS Intel® N150 Mini PC. Equipped with Intel Twin Lake N150 processor (4 cores / 4 threads, up to 3.6GHz), Intel UHD graphics, DDR4-3200 memory up to 32GB, dual M.2 storage expansion (2280 NVMe up to 4TB + 2242 SATA up to 2TB), WiFi 6, 2.5GbE LAN, dual-4K HDMI display output, and Windows 11 Pro pre-installed. A compact and energy-efficient mini desktop ideal for home office, business productivity, media streaming, and everyday computing — global shipping & 1-year warranty included.
ASUS Ascent GX10
Desktop AI supercomputer delivering up to 1 petaFLOP performance, powered by NVIDIA GB10 Grace Blackwell Superchip, supporting OpenClaw and Hermes Agent.
Portable Computer: Local-First AI
Run Perplexity Computer locally on NVIDIA DGX Spark. Private, on-device work with cloud escalation when needed.
Building with Open Models
Alex Cheema on Twitter / X
It’s kind of crazy but the shitstorm of supply chain issues has created a new best-in-class local AI deployment: M5 Max MacBook clusters.- The memory unit economics are great - each MacBook has 128GB @ 614GB/s for $5k- M5 Max added tensor cores (Apple Neural Accelerators) with… https://t.co/f8STQ0tLZs pic.twitter.com/FLm3oOnyEl— Alex Cheema (@alexocheema) May 14, 2026
GMKtec G10 Mini PC AMD Ryzen 5 3500U
The GMKtec NucBox G10 Mini PC is powered by the AMD Ryzen™ 5 3500U quad-core processor with Radeon™ Vega 8 Graphics, delivering smooth multitasking, 4K/8K display support, and reliable performance for home office and entertainment. Featuring dual DDR4 slots (up to 64GB), dual M.2 PCIe 3.0 SSD expansion up to 16TB, triple-screen output via HDMI/DP/Type-C, WiFi 5, Bluetooth 5.0, and 2.5G-compatible Gigabit LAN, this compact mini PC offers powerful productivity in a space-saving design. Ideal for multi-display workstations, media centers, and everyday computing.
NVIDIA DGX Station for Windows Puts a Trillion-Parameter AI Supercomputer on Every Enterprise Desk
News Summary: NVIDIA announces DGX Station for Windows — the world’s most powerful deskside AI supercomputer for developing and running agents on Windows — built on the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, coming in Q4 this year. DGX Station brings frontier AI agents to Windows — enabling enterprise developers, researchers, engineers, designers and data scientists to build and deploy AI across the workflows and applications their business runs on. DGX Station will support NVIDIA OpenShell on Windows, built on new Windows security and containment primitives. TAIPEI, Taiwan, June 01, 2026 (GLOBE NEWSWIRE) - NVIDIA GTC Taipei - NVIDIA today announced NVIDIA DGX Station™ for Windows , the world’s most powerful deskside AI supercomputer designed to build, run and connect always-on AI agents to Windows applications and workflows, capable of running frontier AI models of up to 1 trillion parameters locally. Historically, heavy-duty enterprise AI workloads —
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
NVIDIA and Microsoft Reinvent Windows PCs for the Age of Personal AI
RTX Spark — a 1-Petaflop Superchip, the Full CUDA and RTX Ecosystem, and Windows-Native Agents — a New Beginning for Personal Computers News Summary: NVIDIA RTX Spark powers the world’s first Windows PCs purpose-built for personal agents, featuring 1 petaflop of AI performance, industry-leading power efficiency, full-stack NVIDIA AI and graphics technology, and up to 128GB of unified memory. NVIDIA and Microsoft collaborate to deliver a native Windows experience for personal agents, including new security primitives and NVIDIA OpenShell to run agents securely on primary devices. RTX Spark lets creators, AI developers and gamers render ultralarge 90GB+ 3D scenes, edit 12K 4:2:2 video, generate 4K AI videos, run 120B-parameter LLMs with up to 1 million tokens context using agents locally, and play AAA games at 1440p and over 100 frames per second. Adobe is rearchitecting Photoshop and Premiere from the ground up for RTX Spark to deliver 2x faster AI and graphics performance. RTX
Run Ollama with NVIDIA GPU in Proxmox VMs and LXC containers
Learn how to run Ollama with an NVIDIA GPU in Proxmox for an enhanced AI experience in your home lab and great chat performance
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