DaniLabs@danilabsaiWe’re building AI inference on Bittensor. So far, we’ve recorded over 22,000 requests. Take a look at the usage behind that number. danilabs.ai/network/
Linkdanilabs.aidanilabs.ai/network/Bittensor subnet news
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DaniLabs@danilabsaiLinkdanilabs.aidanilabs.ai/network/DaniLabs@danilabsaiGood AI infrastructure makes it easier to put useful features in people’s hands. Quick for the person using them. Affordable for the team running them. DaniLabs.ai
Linkdanilabs.aiDaniLabs.aiDaniLabs@danilabsaiGood AI infrastructure makes it easier to put useful features in people’s hands. Quick for the person using them. Affordable for the team running them. DaniLabs.ai Join the discussion on Discord discord.com/invite/pmQJW9AvKT
Linkdanilabs.aiDaniLabs.aiDaniLabs@danilabsaiThe cost of AI inference can keep a useful feature from becoming part of the app everyone gets. We’re building DaniLabs to bring that cost down.
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DaniLabs@danilabsaiYour best AI feature shouldn’t be stuck in your most expensive plan. We’re building DaniLabs to lower the cost of running AI so you can offer it on your standard plan. Get updates at danilabs.ai.
Linkdanilabs.aidanilabs.aiValidator Datura (5GP7…VCMi) scheduled a child-key change on SN2
Validator hotkey 5GP7c3fFazW9GXK8Up3qgu2DJBk8inu4aK9TZy3RuoSWVCMi announced new child keys on SN2, applying at block 9,458,885 (~24h). Stake delegated to it there routes through its children after that.
ValidatorDaturaSubnetsSN2
Between blocks 9,451,644 and 9,451,705View subnet →
DaniLabs@danilabsaiA good model gets your attention. A good service earns your next request. Get to know what we’re building at DaniLabs: danilabs.ai/
Linkdanilabs.aidanilabs.ai/Validator tao5 (5Csv…2zVp) scheduled a child-key change on SN2
Validator hotkey 5CsvRJXuR955WojnGMdok1hbhffZyB4N5ocrv82f3p5A2zVp announced new child keys on SN2, applying at block 9,455,137 (~24h). Stake delegated to it there routes through its children after that.
Validatortao5SubnetsSN2
Between blocks 9,447,881 and 9,447,943View subnet →
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Validator TAO.app (5CoZ…bifj) scheduled a child-key change on SN2
Validator hotkey 5CoZxgtfhcJKX2HmkwnsN18KbaT9aih9eF3b6qVPTgAUbifj announced new child keys on SN2, applying at block 9,454,999 (~24h). Stake delegated to it there routes through its children after that.
ValidatorTAO.appSubnetsSN2
Between blocks 9,447,760 and 9,447,820View subnet →
Validator 01Lamida, Inc. (5CqR…b9Ed) scheduled a child-key change on 2 subnets
Validator hotkey 5CqRMuYSSqYkSa8AM3VawVfdyUhyBufyesvvgh3vCgaGb9Ed announced new child keys on SN2, SN111, applying at block 9,453,178 (~24h). Stake delegated to it there routes through its children after that.
Validator01Lamida, Inc.SubnetsSN2, SN111
Between blocks 9,445,937 and 9,445,998
DaniLabs@danilabsaiYou’ve already explained what matters. AI shouldn’t make you repeat yourself as the conversation gets longer. At DaniLabs, we think the experience of using AI deserves as much attention as the infrastructure behind it. Take a look at what we’re building: danilabs.ai/
Linkdanilabs.aidanilabs.ai/Validator Datura (5GP7…VCMi) scheduled a child-key change on SN2
Validator hotkey 5GP7c3fFazW9GXK8Up3qgu2DJBk8inu4aK9TZy3RuoSWVCMi announced new child keys on SN2, applying at block 9,451,450 (~24h). Stake delegated to it there routes through its children after that.
ValidatorDaturaSubnetsSN2
Between blocks 9,444,240 and 9,444,301View subnet →
Validator 1T1B.AI (5G9h…wrc5) scheduled a child-key change on SN2
Validator hotkey 5G9hfkx9wGB1CLMT9WXkpHSAiYzjZb5o1Boyq4KAdDhjwrc5 announced new child keys on SN2, applying at block 9,450,908 (~24h). Stake delegated to it there routes through its children after that.
Validator1T1B.AISubnetsSN2
Between blocks 9,443,689 and 9,443,749View subnet →
DaniLabs@danilabsaiChoosing a model is a decision about what you trust with the work. An inference service should respect that choice. You should know what’s answering. How much visibility does your current service give you?
DaniLabs@danilabsaiPeople remember what an AI product lets them do. The infrastructure earns its place by making that experience hold together. That’s the responsibility we’re taking on with DaniLabs.
DaniLabs@danilabsaiA quiet period and a rush of requests put different demands on an inference service. DaniLabs is developing AI inference on Bittensor, with cost and response time as priorities across that changing workload. Follow the build: danilabs.ai
Linkdanilabs.aidanilabs.aiDaniLabs@danilabsaiBehind every AI application is the compute that keeps it running. When an AI tool stops working, someone still has a job to finish. DaniLabs is building on Bittensor to bring distributed compute to that everyday demand for inference.
Validator Arbos (5GTW…ySXP) scheduled a child-key change on 12 subnets
Validator hotkey 5GTWwu3NCbYmVFzwfrXa1sx8y4UNLR3padWfVZwjNnDmySXP announced new child keys on SN1, SN2, SN4, SN14, SN17, SN22, SN23, SN28, SN37, SN39, SN48, SN50, applying at block 9,435,633 (~24h). Stake delegated to it there routes through its children after that.
ValidatorArbosSubnetsSN1, SN2, SN4, SN14, SN17, SN22, SN23, SN28, SN37, SN39, SN48, SN50
Between blocks 9,428,424 and 9,428,482
DaniLabs@danilabsaiEvery AI feature has to fit a budget and a workflow. Those practical constraints guide DaniLabs as we build AI inference on Bittensor. What are you building, and which inference constraint is hardest to work around?
DaniLabs@danilabsaiWhat would make your AI application practical to run? Tell us about your workload, budget and response-time needs. We’re building AI inference on Bittensor and want to hear what developers need. Join our Discord: discord.com/invite/7uDVuTxse
Linkdiscord.comdiscord.com/invite/7uDVuTxseDaniLabs@danilabsaiWhen an AI response holds up someone’s next step, response time becomes a product concern. That’s why speed is a development priority for DaniLabs as we build AI inference on Bittensor.
DaniLabs@danilabsaiGetting an AI application working is just the beginning. Keeping it practical as usage grows means keeping inference costs and response times in focus. Those priorities guide DaniLabs as we build AI inference on Bittensor.
Validator Bitstarter.ai (5HT9…DhQD) scheduled a child-key change on 3 subnets
Validator hotkey 5HT9U1J85fyNVudFAHuhYSGajRth8r3kYo7hTvkUXFEEDhQD announced new child keys on SN2, SN35, SN117, applying at block 9,427,905 (~24h). Stake delegated to it there routes through its children after that.
ValidatorBitstarter.aiSubnetsSN2, SN35, SN117
Between blocks 9,420,691 and 9,420,749
DaniLabs@danilabsaiThe cost of compute shapes what gets built. That’s why more affordable AI inference is a development priority for DaniLabs. We’re building on Bittensor with cost and response speed in focus.
DaniLabs@danilabsaiThat idea you keep coming back to? Tell us about it. 🌱 Join the conversation on Discord.
DaniLabs@danilabsaiIf AI inference costs weren’t holding you back, what would you build next? See how DaniLabs can help. Join us on Discord: discord.com/invite/7G9ktUkgdT
Linkdiscord.comdiscord.com/invite/7G9ktUkgdTDaniLabs@danilabsaiYour next big idea shouldn’t be limited by the cost of trying. We’re building AI inference with efficiency at its core.
SN2 large buy: 218.0 τ
DaniLabs@danilabsaiAI keeps getting better. Is your day getting any easier?
DaniLabs@danilabsaiLess waiting. More room to think. DaniLabs.ai
Linkdanilabs.aiDaniLabs.ai