AI-ASSeSS runs dynamic AI model competitions using on-chain configs across evolving tasks.
The simplest explanation
Like a live leaderboard where AI models compete on rotating challenges in real time.
No jargon. No whitepapers. Just the facts.
Squeezing maximum throughput/latency out of LLM inference servers is hard, closed, and hardware-specific; there is no open competitive benchmark for production inference-server optimization.
AI-ASSeSS runs dynamic AI model competitions using on-chain configs across evolving tasks.
Open, continuous, same-hardware competition scored purely on end-to-end response time vs a vLLM baseline, with an objective winner-take-most reward.
The best way to understand a new technology is to compare it to something familiar.
Open, continuous, same-hardware competition scored purely on end-to-end response time vs a vLLM baseline, with an objective winner-take-most reward.
hotfloatuses Bittensor's incentive layer to build something no single company could run alone.
Participants (called miners) on the hotfloat subnet compete to produce the best outputs for llm inference optimization tasks. Anyone with the right hardware can join.
Validators continuously evaluate miner outputs against objective benchmarks. The best performers rise, the worst are replaced. There's no human committee — the protocol decides.
Miners are paid in the hotfloat alpha token in proportion to how good their work is. This creates a continuous competitive pressure that drives quality up and cost down — structurally, not just as a promise.
Because every participant is aligned toward the same goal — producing the best llm inference optimization results — the network improves continuously without requiring a central team to manage it.
hotfloat is Subnet 29 (SN29) on the Bittensor network — a decentralized AI protocol built on the TAO blockchain. AI-ASSeSS runs dynamic AI model competitions using on-chain configs across evolving tasks.
Squeezing maximum throughput/latency out of LLM inference servers is hard, closed, and hardware-specific; there is no open competitive benchmark for production inference-server optimization.
Open, continuous, same-hardware competition scored purely on end-to-end response time vs a vLLM baseline, with an objective winner-take-most reward.
The hotfloat subnet has its own alpha token on Bittensor's dTAO system. It trades in the Bittensor liquidity pool and its price reflects market demand for the subnet's services.
AlphaGap tracks hotfloat using its aGap score — a composite of development activity, token flow, and social signals. This page is for informational purposes only and is not financial advice. Always do your own research before making any investment decisions.
AlphaGap tracks signals, whale flows, developer commits, and the aGap score for every Bittensor subnet — updated continuously. Find the alpha gap before everyone else.
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