Embracing MLOps involves establishing protocols and adopting optimal practices for systematically and efficiently deploying AI inference models in a production environment. The term mirrors the naming convention used in DevOps. Microblog @antgrasso #AI #ML #MLOps
SOFTWARE
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Lakehouse Platform Reduces Costs and Increases Data Efficiency
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The to reducing costs and increasing efficiency? A unified platform Organizations can right-size #data environments and control cost by leveraging the #Lakehouse, which performs all processing and analytics in a single compute layer. See how
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CG-1 Simplifies Massive GPU Cluster Distribution for AI Models
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“Many cloud companies have announced massive GPU clusters that cost billions of dollars to build and are extremely difficult to use. Distributing a single model over 1000s of tiny GPUs takes months of time from dozens of people with rare expertise. CG-1 eliminates this challenge"
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AI-Customized Bespoke Apps: The Future of Software
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The future of software is bespoke apps customized by AI. This week in @every
, I wrote about my experience using @replit to do exactly this—and to muse about what it means for SaaS going forward: -
The Future of Software: AI-Customized Bespoke Applications
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The future of software is bespoke apps customized by AI. I wrote about it here:
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Drupal launches real-time collaborative editing for peer-to-peer workflows
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Coming soon to a #Drupal near you: an open source collaborative editing experience designed to streamline workflows and enable real-time peer-to-peer collaboration!
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RAGstack Deploy Private ChatGPT Alternative VPC
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RAGstack -deploy a private ChatGPT alternative hosted within your vpc Awesome works from our friends at @psychicapi
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Implementing AI: Scale, Team Size, and Outsourcing Considerations
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What about as a function of model size / dataset size, sophistication of your team, whether you have platform eng team or not, etc? Or just full stop it sucks I don’t wanna do it plz take my money to solve this for me? 🙂
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Cloud Architecture Optimization for AI and Data Science Efficiency
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The challenge lies in fitting those pieces together for maximum reuse and efficiency. Here's to solving the cloud jigsaw! #ai #datascience #cloud #saschat #Analytics #ExploreSAS