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Injective Launches Onchain Perpetuals Tracking Nvidia GPU Rental Costs
Injective launched a perpetual futures market tracking rental prices of five Nvidia GPUs, with 40% weight on the H100, hourly updates and up to 10x leverage in USDC margin.

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Injective launched the Super Intelligence Compute Index (SICI) perpetual futures market on Monday, tracking five Nvidia GPUs with up to 10x leverage.
The H100 carries a 40% index weight, the B200 25%; LO:TECH supplies hourly updates from a trailing seven-day average.
Gartner warned in October that over 80% of neoclouds could cease operating independently by 2030.
SpaceX's Super Intelligence unit reported $7.6 billion in Q3 revenue, up 830% year over year.
Microsoft has forecast roughly $175 billion in 2026 capital expenditures and offered buyouts to about 60,000 employees.
Layer-1 blockchain Injective launched a perpetual futures market on Monday that tracks the rental prices of five Nvidia GPUs, letting traders take leveraged positions — up to 10x — on shifts in AI computing costs.
The new instrument, called the Super Intelligence Compute Index (SICI), follows rental prices for Nvidia's H100, B200, H200, A100 and RTX 4090 chips. London-based market data firm LO:TECH compiles the pricing data from compute marketplaces.
How does the index work?
The H100 carries the largest weight at 40%, followed by the B200 at 25%, according to Monday's announcement. The index refreshes hourly and uses a trailing seven-day average of rental prices. Traders post USDC as margin and can go long or short on the index's direction.
The launch expands an earlier product: in August 2025, Injective introduced a market tied solely to Nvidia H100 rental prices. SICI broadens that single-chip offering into a five-GPU basket.
Injective framed the market as a hedging tool for both sides of the compute economy. Companies developing AI models frequently rent processing power from cloud providers such as CoreWeave and Nebius rather than buying Nvidia hardware outright. As rental prices swing with demand, developers can hedge against rising compute costs, while GPU providers can protect against falling rental revenue.
Why launch an AI compute derivative now?
The product arrives as the economics of AI infrastructure draw scrutiny. Companies renting out GPU capacity face growing questions about whether they can recoup the cost of building and operating data centers.
Research firm Gartner warned in October that more than 80% of specialist AI cloud providers — known as neoclouds — could cease operating independently by 2030, citing insufficient returns on their investments.
Elon Musk echoed those concerns on Sunday, saying more than 200 neocloud providers could fail or consolidate as lenders grow reluctant to finance companies dependent on AI data center revenue. Musk holds a financial stake in the sector through SpaceX, whose "Super Intelligence" business reported $7.6 billion in third-quarter revenue, up 830% year over year, driven partly by new cloud services agreements.
The broader industry, meanwhile, is restructuring to absorb infrastructure spending. Bloomberg reported on Monday that Microsoft — which has forecast roughly $175 billion in capital expenditures for 2026 — is offering voluntary buyouts to about 60,000 eligible employees as it trims costs amid rising AI outlays. Meta, which has already invested more than $100 billion in AI, cut 8,000 jobs in May as part of a cost-reduction restructuring.
The SICI market gives Injective a first-mover position in compute-cost derivatives, though its usefulness as a hedging vehicle will depend on liquidity depth and whether rental-price benchmarks from LO:TECH hold up as a reliable settlement reference for institutional users.
via bloomberg.com (Original)
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