AI training trends for software development are evolving fast! Abhisyant Anasapurapu, Head of Product Development at NxtGen Cloud Technologies Pvt Ltd, highlights 3 key areas of AI adoption in enterprises: - Embedding AI into existing enterprise applications. - Engineers using their own AI tools (like Midjourney). - Enterprises building their own contextual AI with proprietary data and hardware. Watch the full discussion here: https://lnkd.in/gXX6cPHy #AITrends #SoftwareDevelopment #EnterpriseAI #TechInsights #AITraining
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With so many new advancements in the world of #generativeAI , it can be difficult to know which models to leverage to best meet the specific needs of your business. That’s where #AWS’s new Generative AI Competency program comes in! Starting now, #AWS customers can validate #generativeAI expertise, software, and hardware to identify and adopt the best-suited AI solutions for their goals. 🙌 Our 40+ #AWS Services Partners have you covered, no matter what your AI needs look like.
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Unveil the future of tech with Intellicy. Embrace the convergence of software and AI. . #IntellicySolutions #SmartDataProducts #InnovativeAnalytics #IntelligentDecisions #DataIntelligence #TransformDataIntoAction #DataProductDesign #DataVisualizationExperts #AIandAnalytic #RemoteVis #AICommentModeration #ToneDetector #AIConsultant #DataEngineering #AWS
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With so many new advancements in the world of #generativeAI , it can be difficult to know which models to leverage to best meet the specific needs of your business. That’s where #AWS’s new Generative AI Competency program comes in! Starting now, #AWS customers can validate #generativeAI expertise, software, and hardware to identify and adopt the best-suited AI solutions for their goals. 🙌 Our 40+ #AWS Services Partners have you covered, no matter what your AI needs look like.
AWS launches Generative AI Competency to grade AI offerings
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With so many new advancements in the world of #generativeAI , it can be difficult to know which models to leverage to best meet the specific needs of your business. That’s where #AWS’s new Generative AI Competency program comes in! Starting now, #AWS customers can validate #generativeAI expertise, software, and hardware to identify and adopt the best-suited AI solutions for their goals. 🙌 Our 40+ #AWS Services Partners have you covered, no matter what your AI needs look like.
AWS launches Generative AI Competency to grade AI offerings
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With so many new advancements in the world of #generativeAI , it can be difficult to know which models to leverage to best meet the specific needs of your business. That’s where #AWS’s new Generative AI Competency program comes in! Starting now, #AWS customers can validate #generativeAI expertise, software, and hardware to identify and adopt the best-suited AI solutions for their goals. 🙌 Our 40+ #AWS Services Partners have you covered, no matter what your AI needs look like.
AWS launches Generative AI Competency to grade AI offerings
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🚀 Are we on the brink of a revolution in AI-driven video generation? Recent advancements in this field are spearheaded by innovations like Luma AI's Dream Machine, a powerful text-to-video API that brings concepts to life with stunning realism. Harnessing AWS's SageMaker HyperPod, this tool not only enhances character consistency and motion fluidity but also simplifies the complexities often associated with video generation. 🛠️ Understanding the Challenges: Video generation presents unique hurdles such as managing the temporal dimension with multiple frames, iterative denoising processes, and requiring larger model architectures to address increased resolution and length. An efficient infrastructure is critical for developers and marketers aiming to leverage this promising technology. 💡 The Solution: Amazon SageMaker HyperPod emerges as a robust platform, offering customizable environments that optimize resource use and enhance workflow efficiency. This is especially vital for researchers and developers looking to push the boundaries of video generation algorithms, such as the innovative “Animate Anyone” algorithm. 📈 Deployment and Monitoring: With tools like ComfyUI and comprehensive monitoring solutions via Amazon Managed Services for Prometheus and Grafana, video generation can become a seamless, scalable process. This not only highlights the importance of infrastructure but underscores the potential role of video generation in transforming AI applications. 🌟 Stay Ahead in Tech! Connect for cutting-edge insights and knowledge sharing! Want to make your URL shorter and more trackable? Try linksgpt.com #BitIgniter #LinksGPT #VideoGeneration #AIInnovation #SaaSDevelopment Want to know more: https://lnkd.in/dy46_YqQ
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Run:ai v2.18 is out, and boy, this is a big one for us 😊 After a lot of work and an amazing amount of effort and dedication from the team and product, we finally released the GPU memory swap feature! 🎉 This feature brings the concept of RAM based swapfiles into GPU workloads, leveraging an automated and managed service that transparently swap workloads in and out of the GPU according to the real-time demand and usage patterns. This will relieve the GPU of temporarly hogged and used resoruces, which can be used by other workloads in the cluster, driving the GPU utilization way up where it should be! 💸💰 If this piqued your interest, you can find more details in this technical blog: https://lnkd.in/dzRJaEU6 There are also a ton of other new and amazing features, check them out!
🚨 Run:ai Version 2.18 is officially LIVE!! 🚨 Run:ai version 2.18 is packed with new features designed to optimize GPU performance, simplify model deployment, and enhance control over AI workloads 💪 💥This update brings insane improvements that help AI-driven enterprises take their AI dev to A NEW LEVEL Not only will 2.18 bring you maximized efficiency, reduced complexity, and better results, but this version brings some seriously game-changing features and brand new capabilities! Check out the full scope of v2.18 in our blog here: https://hubs.li/Q02HqFlY0 detailing exactly how you can utilize Run:ai and innovate even faster 🚀 #runai #runaiv218 #runainewrelease #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI #AIScaling #MachineLearningInfrastructure #aistack #ml
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🚨 Run:ai Version 2.18 is officially LIVE!! 🚨 Run:ai version 2.18 is packed with new features designed to optimize GPU performance, simplify model deployment, and enhance control over AI workloads 💪 💥This update brings insane improvements that help AI-driven enterprises take their AI dev to A NEW LEVEL Not only will 2.18 bring you maximized efficiency, reduced complexity, and better results, but this version brings some seriously game-changing features and brand new capabilities! Check out the full scope of v2.18 in our blog here: https://hubs.li/Q02HqFlY0 detailing exactly how you can utilize Run:ai and innovate even faster 🚀 #runai #runaiv218 #runainewrelease #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI #AIScaling #MachineLearningInfrastructure #aistack #ml
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📣 Run:ai 2.18 is officially out today. 🥂 Many new product innovations and capabilities. Details inside. 🧗♂️ Stay tuned for the next steps in the AI journey with Run:ai.
🚨 Run:ai Version 2.18 is officially LIVE!! 🚨 Run:ai version 2.18 is packed with new features designed to optimize GPU performance, simplify model deployment, and enhance control over AI workloads 💪 💥This update brings insane improvements that help AI-driven enterprises take their AI dev to A NEW LEVEL Not only will 2.18 bring you maximized efficiency, reduced complexity, and better results, but this version brings some seriously game-changing features and brand new capabilities! Check out the full scope of v2.18 in our blog here: https://hubs.li/Q02HqFlY0 detailing exactly how you can utilize Run:ai and innovate even faster 🚀 #runai #runaiv218 #runainewrelease #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI #AIScaling #MachineLearningInfrastructure #aistack #ml
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𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐀𝐈: 𝐀𝐖𝐒’𝐬 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚 & 𝐓𝐫𝐚𝐢𝐧𝐢𝐮𝐦 𝐭𝐨 𝐭𝐡𝐞 𝐑𝐞𝐬𝐜𝐮𝐞! 🚀 Struggling with slow AI models and sky-high costs? Say hello to AWS’s 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚 and 𝐓𝐫𝐚𝐢𝐧𝐢𝐮𝐦 instances! 👋💼 These powerhouses are like a turbo boost for your generative AI projects, slashing costs and speeding up performance. Imagine running your AI at full throttle without worrying about the price tag. 🏎️💨 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚 offers lightning-fast inference capabilities with 2.3x more throughput, ensuring your models deliver results in record time. 🔥 It boasts 10x lower latency, ensuring 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 responsiveness. Meanwhile, 𝐓𝐫𝐚𝐢𝐧𝐢𝐮𝐦 instances provide unparalleled training speeds, accelerating your development cycle and enabling faster iterations. 🚄 AWS Trainium can significantly reduce training costs by up to 50% compared to other options. Plus, with the 𝐀𝐖𝐒 𝐍𝐞𝐮𝐫𝐨𝐧 𝐒𝐃𝐊, you can stick with your favorite tools like 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰 and 𝐏𝐲𝐓𝐨𝐫𝐜𝐡. It’s all about making your life easier, so you can focus on creating, not just configuring. 🛠️❤️ ------------------------------------------------------------------ 📩 DM | Follow Thiruvanai T.S. for more content. I believe the fastest way to learn is to share! How about you? Thank you. ------------------------------------------------------------------ #AWS #CloudComputing #Automation #innovation #GenerativeAI
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