Wes Brown’s Post

Something that doesn’t get talked about often enough regarding AI: the cost. GPU usage alone can cost upwards of $18,000 per month for some LLMs. That’s why the emerging field of MLOps is designed to help organizations build scalable and cost-effective AI teams. Verto’s Director of AI & Technology Transformation, Martin Persaud, CPA, MMAI discusses the importance of building sustainable MLOps processes in our second entry in our series on AI and healthcare. Click below to read the blog and find out more! 👇   https://lnkd.in/eGC7kMCG #AI  #MLOps #digitalhealth

Are you struggling to streamline your AI/ML lifecycle? Look no further than MLOps! MLOps incorporates machine learning operations into every stage of the process, from data collection to model training, deployment, monitoring, and optimization. With MLOps, you can enjoy a seamless and efficient flow of operations. Don't miss out on the benefits of MLOps! #MLOps #AI #MachineLearning #DataScience

Looking to streamline your ML workflows? Vertex AI is here to help! With features like AutoML, Custom Training, and Generative AI, you can transform your data into actionable insights. Click here for more https://buff.ly/4d90tsx #vertex #AI #machinelearning #autoML #googlecloud #innovation #miraclesoftware #blogs

Want to run your own AI models? Learn how on RH OpenShift.

Discover the latest methods, tools, and practices at #AgileDevOpsCon. The program is packed full of over 60 learning opportunities covering the latest topics including #AI #DevOps #AgileLeadership and more. https://lnkd.in/dUNHiMh5

MLOps: How To Build a Toolkit To Boost AI Project Performance https://bit.ly/3yUEhEl Numerous AI projects launched with promise fail to set sail. This is not usually because of the quality of the machine learning (ML) models. Poor implementation and system integration sink 90% of projects. Organizations can save their AI endeavors. They should adopt adequate MLOps practices and choose the right set of tools. This article discusses MLOps practices and tools that can save sinking AI projects and boost robust ones, potentially doubling project launch speed. MLOps in a Nutshell  MLOps is a mix of machine learning application development (Dev) and operational activities (Ops). It is a set of practices that helps automate and streamline the deployment of ML models. As a result, the entire ML lifecycle becomes standardized. via DZone AI/ML Zone https://bit.ly/41qvfZp September 03, 2024 at 04:00PM

Our latest white paper from Founder and CEO Harry Kasparian dives into the challenges of production #AI systems and the importance of #MLOps. It covers how automation accelerates MLOps practices while outlining the benefits and considerations of implementing MLOps automation solutions. https://lnkd.in/e7Ndwqst

As AI becomes more integral to business, many organizations struggle with efficiently deploying and scaling AI models. Kubernetes offers a strong solution for AI inference but comes with challenges, such as optimizing resource management for high-performance workloads. Discover how Spot Ocean's features can help overcome these challenges from this article. #NetApp #AI #SpotOcean

As AI becomes more integral to business, many organizations struggle with efficiently deploying and scaling AI models. Kubernetes offers a strong solution for AI inference but comes with challenges, such as optimizing resource management for high-performance workloads. Discover how Spot Ocean's features can help overcome these challenges from this article. #NetApp #AI #SpotOcean

How Cloud-Based Machine Learning Platforms Streamline AI Development #ArtificialIntelligence #MachineLearningLifeCycle #AIdevelopment #Dataanalyze #SmartSystems