Cacheon

Launching Cacheon: an open, incentivized competition for LLM inference optimization. As model quality converges, the next frontier is serving them economically at scale: lower latency, higher throughput, and lower cost per token. Cacheon turns that problem into a live arena with continuous evaluation. Developers submit containerized inference servers, benchmarked on standardized hardware against a pinned vLLM baseline. The fastest server that preserves output correctness wins. The goal is to make better inference systems discoverable, measurable, deployable, and rewarded in the open. Mainnet launches by May 19. Learn more: cacheon.ai

tao.app/extrinsics/856… We've just locked 10k Alpha to show our conviction

Cacheon continues. We're excited to show you what's next. We've brought on a new LLM engineer and are dedicating more resources to bring you the top inference optimization competition on Bittensor, supported by real expertise.

Cacheon has parted ways with @xavi3rlu. We're excited for the future of Cacheon and will keep you updated on the next phase of the subnet.

We just merged our first-ever community PR from a miner! 🤝 It makes our evaluation fairer. Miners can use any tokenizer without getting penalized. If your output is right, you pass. Simple as that. github.com/latent-to/cach…

Cacheon docs are now agent-ready. On every doc page: • Open in Claude, Cursor, or ChatGPT • or Copy Markdown For grounding: • cacheon.ai/llms-full.txt • Per-page markdown URLs As more development workflows move from browsers to agents, documentation needs to be optimized for both humans and machines.

Cacheon paid out its first miner incentives on Tuesday. Here's how it works: miners earn when they beat vLLM in eval. One miner did exactly that. Got rewarded. Then on the next run, their score dropped below the baseline, so emissions went back to burn. No one is being held back. Beat vLLM consistently, earn consistently. Miss a run, miss the reward. Variance is real. A single fast run does not lock in your position. Full details: cacheon.ai/docs/evaluatio…

@AlgodTrading It’s @cacheon_ai’s time to shine

It was a strong signal that even though $TAO was just a track of @proofoftalk, it felt like the main event. The vibes were immaculate Awesome catching up with old friends and and finally put faces to many of the names we've been building alongside online.

The energy around @Bittensor at @proofoftalk was exceptional. We had great conversations with old friends and made plenty of new ones across the ecosystem. People are no longer asking whether Bittensor can attract builders. They're asking how subnets will take market share, generate revenue, and build sustainable advantages over centralized AI firms. The ecosystem feels materially different than it did a year ago: more serious teams, stronger infrastructure, more capital, and significantly higher conviction. Came away more bullish than ever on SN14 Cacheon and the broader Bittensor space. Still a long road ahead, but the momentum is undeniable. Hopefully more good news in the coming weeks.

Pure talent … bittensor @proofoftalk @btlabs_ai @LeadpoetAI @minotaursubnet @gradients_ai @4RayL @cacheon_ai @Darren_Yeah_ @fadebitman @innovativeshane @josercaldera

Cacheon competition restarts June 1. What we overhauled this week: - One-pass eval: speed + correctness on the same prompts, same outputs - Single metric: end-to-end wall time vs baseline (no TTFT / TPS split) - Improved logging and telemetry - Emissions ramp up after June 8 - Conviction lock soon Inference is the compute layer everything runs on. Open competition is how we surface the best. Miners, show us what you've got. 💪 Read more: cacheon.ai/docs

We shipped two things over the weekend: a 0.1 TAO miner submission fee and @shadeformai GPU support. Submission fee: Every on-chain commit now costs 0.1 TAO. Goal is to cut spam and add skin in the game. Fee covers GPU rental first; anything left buys SN14 tokens and burns it. Miner workflow is unchanged. Docs: cacheon.ai/docs/miners/re… Shadeform GPUs: Validator can now pull GPUs from Shadeform alongside @TargonCompute and @lium_io for evaluations. More supply, less wait time. Updates on evaluation upgrade coming later this week. Follow our Bittensor Discord channel for ongoing discussions.

🎫 Request ID: CU2005260042

🚀 Preparing our CoinGecko update request for Cacheon / SN14. 🔗 GeckoTerminal URL: geckoterminal.com/bittensor/pool… Telegram contact: @xavierlyu

Day 1 of @cacheon_ai is in the books. Stressful? 100% We shipped, broke things, and found multiple exploits. All in one day. That is how it is supposed to go. We are building the infrastructure that makes inference competitive with centralized providers. That is not a small problem. You do not find the real edges until real miners are running real models on a live subnet. We found them fast and want to patch them even faster. Day 1 stress means people care enough to try to break the system. That is what makes this product stronger. Evaluation and emission are paused until the fixes are in. More updates before end of week. To every miner who stayed in and flagged issues: thank you!

Didn't expect 40+ miners on testnet. People ran real inference servers for nothing but early positioning. That kind of participation before any reward is on the table tells you something. To every testnet miner: you built this community before it had a dollar attached. That's why I'm confident @cacheon_ai mainnet will work!

@ggerganov You should check out cacheon.ai !

llama.cpp adds MTP for the Qwen3.6 family This is a significant milestone for the local AI ecosystem. The performance jump with these changes is massive and elevates local inference on commodity hardware further. Special thanks to Aman Gupta for leading this development! github.com/ggml-org/llama…

Cacheon mainnet is live. 13 inference servers queued, each racing to beat our baseline on a dedicated 8x H200 pod. The winner earns up to $10,000/day. Inference optimization starts today on @Bittensor. Follow along: cacheon.ai/dashboard

Back-to-back kings crowned in a single eval run on Cacheon testnet. UID 11 took the crown, then UID 20 snatched it minutes later. Scores are still very small since miners are mostly tuning vLLM defaults. The real jump comes when someone ships actual KV cache reuse, better prefill optimizations, or speculative decoding (V2). That's what this subnet is built for. Keep pushing. 🚀 Early dashboard live at cacheon.ai/dashboard. Still a very early version with some rough edges. The site is also open source at github.com/latent-to/cach… and we welcome contributions.