NeoCloud & Exchange · Spot · Forward · Futures
AI Compute Exchange
One venue for GPU compute. Data centers sell it. AI labs buy it. Traders price it.
Bids
Asks
Built to clear capacity across the world’s clouds & neoclouds
The stack
Megawatts at one end, tokens at the other.
Capacity is contracted and metered as megawatts, sold on as GPU-hours, served as tokens, and quoted on a book that prices the two units beneath it. Enter at whichever unit your work is already denominated in; what you stop needing goes back on the same book.
Exchange
A central limit order book over the two units below it, cleared and settled in dollars.
- Who
- Traders
- Why
- To hedge and arbitrage
- What
- Spot · forwards · futures
- TradersBuy / Sell
- AI companiesBuy side
- AI companiesBuy side
- Data centersSell side
Data center operators · Buildout
From an empty hall to a running AI factory.
Build a site with Exascale, from power and design to GPUs, cooling, network and commissioning, or connect the racks you already run and sell their idle hours. Either way the capacity goes live on the Exascale Cloud Platform and earns from the first hour.
Build with Exascale
Build an Exascale Data Center
One program from site to service, run by the team that will sell the capacity, so the hall is designed around the GPUs and the customers it is for.
- Dallas, Texas
- North Texas
- Houston, Texas
Already operating
Connect your fleet
Connect once and idle hours become listable capacity, attested at connection and continuously after it, metered per second and settled to you on the venue’s cycle.
- Onboards
- Data centers, neoclouds, enterprise fleets
- Attestation
- At connection, then continuously
- Metering
- Per node, per second
Model library · Token factory · Inference · Router
Open models, one endpoint.
513 catalog entries, 52 with verified sources, across text, code, reasoning, vision, image, video and speech, OpenAI-compatible and priced per million tokens.
One base URL.
Point the OpenAI SDK at Exascale. Nothing else in your code changes.
from openai import OpenAI client = OpenAI( base_url="https://api.exascale.dev/v1", api_key=os.environ["EXASCALE_API_KEY"], ) stream = client.chat.completions.create( model="deepseek-v3", messages=[{"role": "user", "content": prompt}], stream=True, )
Available now, and next
Capacity in every class, from Hopper to Vera Rubin.
Rack-scale NVL72 systems, HGX and AMD Instinct baseboards, under contract across operators and regions. Available by the GPU-hour or reserved for up to five years, whichever generation the work is written for. Vera Rubin can be reserved ahead.
Exchange · Trading terminal
GPU compute, on a trading screen.
Every GPU class and region quotes on one terminal: a candlestick chart, the order book and time and sales beside it, and order entry on the right. Price an hour of H100 the way a desk prices anything else.
- Chart
- Candlesticks from 1m to 1Y, EMA and volume
- Book
- Depth of market, trades and spread in basis points
- Ticket
- Market, limit and pro orders, cross or isolated margin
Request access
Whichever side you are on.
Onboarding for data-center operators, AI enterprises, frontier labs and trading desks, in rolling cohorts.