Paula Lubas’ Post

Join a BrightTALK fireside chat (Jan. 9) on how NVIDIA NIM on AWS is optimizing self-hosted generative AI deployment for businesses. Discover how NIM containerized microservices integrate with large language models and custom AI models to enable faster, scalable, and secure generative AI solutions on AWS. Register here https://lnkd.in/eu6S73Ar for "Optimizing generative AI deployment: unleashing business potential with NVIDIA NIM on AWS."   #AWS #NVIDIA #generativeAI #GenAI #NVIDIANIM #AIdeployment

In a compelling video, Albert Lawrence engages in a deep discussion with Miha Kralj, Global Senior Partner of IBM Hybrid Cloud Services and David Levy, Advisory Technology Engineer at IBM Client Engineering. They delve into the uses and challenges of employing generative AI to write code, offering valuable insights on how to address them. #GenerativeAI #AI #applicationdevelopment #innovation

🚀🤖Accelerate Generative AI Inference with NVIDIA NIM Microservices on Amazon SageMaker by Saurabh Trikande Excited to share how NVIDIA NIM Microservices on Amazon SageMaker accelerate the deployment of large language models. With optimized prebuilt containers, developers can seamlessly integrate cutting-edge AI capabilities into enterprise-grade applications, reducing deployment time from days to minutes. #NVIDIA #SageMaker #AI #MLM 🚀 #MachineLearling #AWS

See how you can connect custom large language models (LLMs) to enterprise data to deliver accurate responses for your artificial intelligence (AI) applications with NVIDIA on Amazon Web Services (AWS). You will learn how to Connect LLMs to multiple data sources and knowledge bases so that users can easily interact with data and receive accurate, up-to-date answers. Quickly train, customize, and deploy LLMs at scale leveraging existing code and pretrained models.  Accelerate time to solution and reduce total cost of ownership (TCO) for deploying AI into production with NVIDIA AI Enterprise on AWS. Sign up here : https://rebrand.ly/c736dll 

Last month, I had the privilege of attending an insightful session led by Ahmed M.Raafat, Principal Solutions Architect at AWS, organised by GetSeen Ventures. The discussion highlighted how Generative AI is transforming industries, and I took away some key insights that are shaping my perspective on the future of AI: Enhancing Customer Experiences: Generative AI is improving interactions through intelligent chatbots, virtual assistants, and conversation analytics, driving automation and engagement across sectors. AWS Amazon Bedrock: A game-changer for building scalable AI applications. With advanced capabilities like Retrieval Augmented Generation (RAG) and built-in security safeguards, it empowers businesses to develop secure and effective AI solutions. Scalability and Infrastructure: AWS offers a robust infrastructure, including GPUs, Trainium, and Inferentia, ensuring AI projects can scale efficiently while managing costs. Thank you to Ahmed M.Raafat and GetSeen Ventures for this deep dive into the transformative potential of Generative AI. I am excited to explore how these insights can be applied to real-world business challenges. #GenerativeAI #AITransformation #AWS #AIInnovation #GetSeenVentures #AIInfrastructure #AIApplications

Automating Machine Learning Deployment with Azure AI Lab 🤖 "Accelerating AI Innovation with Automated ML Deployment!" 🚀 Join me in exploring Azure's Automated ML on Azure AI Lab! By automating model deployment tasks, we're driving efficiency and ensuring optimal performance. Let's shape the future of AI together. #AzureAI #AutomatedML #ModelDeployment 🔧

Exciting news in AI! Meta’s Llama 3 and Llama 2 models are now available on AWS, giving developers access to cutting-edge generative AI capabilities. With AWS's powerful infrastructure, businesses can integrate these models into their applications, driving innovation across various sectors. #AI #GenerativeAI #AWS #Meta #Innovation

Fireworks AI: Optimizing Inference Performance with NVIDIA and AWS - 20X Higher Performance: Leveraging NVIDIA H100 and A100 GPUs on Amazon EC2 instances to deliver up to 20X higher performance compared to other generative AI providers. - 4X Lower Latency: Achieving up to 4X lower latency for inference, ensuring faster response times and a better user experience. - Advanced Orchestration: Utilizing Amazon EKS and custom kernel optimizations to manage services efficiently and maximize GPU capabilities.

I anticipate a great day at the AWS Summit in Toronto on September 11 as I explore how generative AI is shaping the future and then learn firsthand about the unique monetization and go-to-market opportunities this creates. #awssummit #usagebilling #monetization #usageeconomy #logisense

We are expanding our partnership with AWS to supercharge #AI inference. NVIDIA NIM microservices are now available across AWS services, resulting in faster AI training and inference and lower latency for generative AI applications. bit.ly/4gkgXjl #AWSreInvent