The next major financial market for AI is the price of compute. Today, Injective is officially releasing the Super Intelligence Compute Index ($SICI), bringing a new financial primitive to the onchain AI economy. For the first time on Injective, traders can access a diversified index of @nvidia GPU rental prices through perpetuals with up to 10x leverage. We also plan to introduce a brand new financial primitive to access $SICI in the coming days. 🟪 A New Onchain Market for the Agentic Economy Trillions are set to be invested into AI infrastructure. From frontier model training to autonomous agents and inference, demand for compute is becoming one of the defining forces shaping the AI industry. This trend is only accelerating with giants like @OpenAI and @AnthropicAI surging in demand. Yet financial markets for compute remain largely underdeveloped, with rental prices fragmented across cloud providers and hardware generations. $SICI changes that. SICI brings five NVIDIA GPU rental rates together into a single onchain benchmark. The index consists of the following: → H100 (Industry standard for AI training): 40% → B200 (Next-generation AI training and inference): 25% → H200 (High-memory AI training and inference): 15% → A100 (Fine-tuning and AI inference): 10% → RTX 4090 (Consumer GPU for affordable AI inference): 10% Using hourly compute marketplace data, SICI creates a novel way to access and trade the economics of AI infrastructure. 🌏 Injective is building the onchain financial markets of tomorrow Injective pioneered the first onchain H100 rental market, launched the $AIX index, and introduced pre-IPO perpetuals for companies including OpenAI, @SpaceX and Anthropic. $SICI takes this vision further. First, Injective brought market exposure to the companies building the future of AI onchain. Now, we're bringing the cost of the infrastructure powering them onchain too. And we will soon be launching entirely new financial primitives to access the onchain agentic economy. The AI economy is creating entirely new asset classes. Injective is building the financial markets to access them for the first time onchain.

Today we are releasing the new Injective Whitepaper. It is the first full rewrite since our original paper in December 2018, which described a front-running-resistant exchange protocol on Ethereum. Eight years later, Injective has evolved greatly into becoming a layer-1 blockchain for institutional-grade finance and tokenization. Every layer of the protocol exists to issue real-world assets and give them real utility across markets, applications, and AI agents. Inside the paper → Asset issuance. Native RWA tokenization with role-based permissions over mint, send, receive, and burn, plus programmable receive hooks and sealable namespaces → RWA exposure. iAssets, stablecoin-margined, oracle-priced derivatives that track external assets with no wrapping or pre-funding → Trading. Tokenized assets trade on a fully onchain CLOB where each block runs a sealed frequent batch auction at a uniform clearing price, resisting front-running and ordering MEV → Settlement. BFT consensus with a greater-than-two-thirds commit threshold delivers deterministic finality with ~600ms blocks → Composability. Native EVM and WASM in one canonical state, with the MultiVM Token Standard keeping a single bank-module balance per asset, exposed to Solidity through precompiles → Derivatives. Perpetuals with time-weighted premium funding, initial and maintenance margin checks, reduce-only liquidations, and insurance funds → Agentic finance. AI agents operate on tokenized assets through MCP servers, policy-bounded signing, and x402 machine payments in USDC → Value accrual. Onchain protocol revenue flows to the recurring Community BuyBack for $INJ The paper formalizes each mechanism, from the consensus threshold and block lifecycle to the batch clearing rule, oracle accounting, derivative risk checks, permission model, and dynamic issuance controller. From issuance to settlement, one chain built for the full lifecycle of tokenized finance. Read it below.