#distributedai — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #distributedai, aggregated by home.social.
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Cut Shrinkage 30% With BSC Machine Learning vs On‑Prem
Retailers are slicing inventory shrinkage by a third with BSC’s AI‑driven tool—no code, faster results, real ROI. Discover the step‑by‑step playbook to replicate the success.
https://promptwise.digital/cut-shrinkage-30-bsc-machine-learning-vs-on-prem/
#nocode #distributedai #inventoryoptimization #smallbusiness #bsctool
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Cut Shrinkage 30% With BSC Machine Learning vs On‑Prem
Retailers are slicing inventory shrinkage by a third with BSC’s AI‑driven tool—no code, faster results, real ROI. Discover the step‑by‑step playbook to replicate the success.
https://promptwise.digital/cut-shrinkage-30-bsc-machine-learning-vs-on-prem/
#nocode #distributedai #inventoryoptimization #smallbusiness #bsctool
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While competitors like Amazon, Google, Microsoft, and Meta are spending billions on AI infrastructure, #Apple has taken a different approach. By #licensing #AImodels and leveraging its existing user base of 2 billion devices, Apple is able to implement #distributedAI without the massive #capitalexpenditure. This strategy allows Apple to focus on owning the customer experience. https://asymco.com/2026/03/10/the-most-brilliant-move-in-corporate-history/?eicker.news #tech #media #news
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While competitors like Amazon, Google, Microsoft, and Meta are spending billions on AI infrastructure, #Apple has taken a different approach. By #licensing #AImodels and leveraging its existing user base of 2 billion devices, Apple is able to implement #distributedAI without the massive #capitalexpenditure. This strategy allows Apple to focus on owning the customer experience. https://asymco.com/2026/03/10/the-most-brilliant-move-in-corporate-history/?eicker.news #tech #media #news
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While competitors like Amazon, Google, Microsoft, and Meta are spending billions on AI infrastructure, #Apple has taken a different approach. By #licensing #AImodels and leveraging its existing user base of 2 billion devices, Apple is able to implement #distributedAI without the massive #capitalexpenditure. This strategy allows Apple to focus on owning the customer experience. https://asymco.com/2026/03/10/the-most-brilliant-move-in-corporate-history/?eicker.news #tech #media #news
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While competitors like Amazon, Google, Microsoft, and Meta are spending billions on AI infrastructure, #Apple has taken a different approach. By #licensing #AImodels and leveraging its existing user base of 2 billion devices, Apple is able to implement #distributedAI without the massive #capitalexpenditure. This strategy allows Apple to focus on owning the customer experience. https://asymco.com/2026/03/10/the-most-brilliant-move-in-corporate-history/?eicker.news #tech #media #news
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While competitors like Amazon, Google, Microsoft, and Meta are spending billions on AI infrastructure, #Apple has taken a different approach. By #licensing #AImodels and leveraging its existing user base of 2 billion devices, Apple is able to implement #distributedAI without the massive #capitalexpenditure. This strategy allows Apple to focus on owning the customer experience. https://asymco.com/2026/03/10/the-most-brilliant-move-in-corporate-history/?eicker.news #tech #media #news
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Massive energy savings for #6G AI! 💡🔋
We launched our new paper: E-SPLIT: A Hierarchical Genetic Algorithm for Energy-Efficient Distributed AI Services (preprint available).
This framework minimizes energy use (up to 94.1% reduction 🤯) while meeting latency demands—paving the way for sustainable, AI-native 6G networks. 🚀
🔗 Zenodo: https://zenodo.org/records/17903424
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Launch HN: LlamaFarm (YC W22) – Open-source framework for distributed AI
https://github.com/llama-farm/llamafarm
#HackerNews #LaunchHN #LlamaFarm #OpenSource #AI #DistributedAI #YCW22
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Post 6: The Distributed Alternative
💡 Plot twist: What if we didn't need mega-datacenters?
Distributed AI projects proving viable:
✅ Hivemind, Flower, OpenFL enable collaborative training
✅ Federated learning across 71 medical sites on 6 continents
✅ Privacy preserved, data stays local
✅ Uses idle computing resources + local renewable energy
Why centralize when you can federate?
#DistributedAI #FederatedLearning #Decentralization -
Forget massive datacenters? Flower AI & Vana trained the Collective-1 LLM using globally distributed GPUs & user-contributed data. This distributed approach could disrupt AI giants and make powerful model creation more accessible. #AI #DistributedAI #LLM
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There's an ongoing drive for #FOSS #distributedAI computing, e.g. #aiHorde. It's not perfect & needs a 3rd-party security audit, but is somewhere on the path to more-secure non-local #edgecomputing for devices like phones that can't load large #AImodels or run popular #text2text / #text2image #genAI applications locally.
*NB: Apologies to Horde volunteers if I just bumped your traffic past reasonable limits.*
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There's an ongoing drive for #FOSS #distributedAI computing, e.g. #aiHorde. It's not perfect & needs a 3rd-party security audit, but is somewhere on the path to more-secure non-local #edgecomputing for devices like phones that can't load large #AImodels or run popular #text2text / #text2image #genAI applications locally.
*NB: Apologies to Horde volunteers if I just bumped your traffic past reasonable limits.*
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There's an ongoing drive for #FOSS #distributedAI computing, e.g. #aiHorde. It's not perfect & needs a 3rd-party security audit, but is somewhere on the path to more-secure non-local #edgecomputing for devices like phones that can't load large #AImodels or run popular #text2text / #text2image #genAI applications locally.
*NB: Apologies to Horde volunteers if I just bumped your traffic past reasonable limits.*
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There's an ongoing drive for #FOSS #distributedAI computing, e.g. #aiHorde. It's not perfect & needs a 3rd-party security audit, but is somewhere on the path to more-secure non-local #edgecomputing for devices like phones that can't load large #AImodels or run popular #text2text / #text2image #genAI applications locally.
*NB: Apologies to Horde volunteers if I just bumped your traffic past reasonable limits.*
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There's an ongoing drive for #FOSS #distributedAI computing, e.g. #aiHorde. It's not perfect & needs a 3rd-party security audit, but is somewhere on the path to more-secure non-local #edgecomputing for devices like phones that can't load large #AImodels or run popular #text2text / #text2image #genAI applications locally.
*NB: Apologies to Horde volunteers if I just bumped your traffic past reasonable limits.*