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Injective launches Super Intelligence Compute Index for AI compute trading
The new index tracks five NVIDIA GPU rental rates and lets traders take leveraged onchain positions through perpetual futures
Injective has launched the Super Intelligence Compute Index, a benchmark that tracks rental rates for five NVIDIA GPUs. Traders can take leveraged positions on it onchain through perpetual futures.
What Injective actually built
The new index rolls five NVIDIA GPU rental rates into a single tradable number. Think of it like a stock index, except the components are hourly prices for renting chips instead of company shares.
Exposure comes through perpetual futures, often called perps. These are derivatives with no expiry date. Traders can hold a long or short position for as long as they keep it funded.
The pitch is simple. If you think the cost of AI compute is heading up, you go long. If you expect it to fall, you go short. If you are a company that buys compute, you might use a position to offset swings in what you pay.
The H100 market came first
The new index did not appear out of nowhere. Injective has been testing the idea of trading compute prices for a while.
On August 18, 2025, the network introduced a perpetual futures market tied to tokenized NVIDIA H100 GPU rental rates. The research describes it as the first onchain perps market built around that specific input.
That market runs on Helix, Injective’s decentralized exchange. It reportedly allows leverage of up to 5x.
By late 2025, the H100 market had cleared more than $20.3 million in cumulative trading volume.
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Pricing data for the H100 market comes from Squaretower. The firm supplies a custom decentralized oracle that refreshes rental rates every hour.
An oracle, for the uninitiated, is the bridge between the outside world and a blockchain. Smart contracts cannot look up GPU rental prices by themselves. Someone has to feed that information in, and the reliability of the whole market depends on how well they do it.
A pattern of exotic bets
On January 30, 2025, the network launched the AIX AI Index perpetual. That product blends AI-related crypto tokens with traditional equities such as NVIDIA.
AIX let traders bet on the AI trade as a theme. The H100 market narrowed that down to one chip’s rental price. The Super Intelligence Compute Index widens the lens again, covering five GPUs instead of one.
What this means for traders and compute buyers
The research frames the H100 product as serving both compute buyers and cloud service providers. Those two groups sit on opposite sides of the same price.
A startup training models fears rising rental costs. A provider leasing out GPUs fears falling ones. In theory, a liquid derivatives market lets each lock in some certainty.
Whether that theory holds depends on liquidity. More than $20.3 million in cumulative H100 volume is a start, but serious corporate hedging would likely demand far more depth.
Spreading the index across five GPUs could help on that front. A broader benchmark may appeal to more participants than a single-chip market.
The risks worth watching
Oracle design is a key pressure point. GPU rental prices are not quoted on a single public exchange the way Bitcoin or Apple stock are. How the index sources, weights and updates its five rates will shape how much traders trust it.
There is also the question of whether compute behaves like a commodity at all. GPU rentals can vary by provider, contract length and region. Compressing that into one tradable number involves judgment calls.