Philippe Ciampossin

With JFrog and NVIDIA joining forces, are we about to witness the ultimate solution to AI deployment and security challenges? JFrog, a leader in DevOps and DevSecOps, announced a strategic partnership with NVIDIA, bringing significant advancements in AI model deployment and security. This collaboration integrates NVIDIA NIM microservices into the JFrog Platform, enhancing its machine learning and artificial intelligence capabilities. This integration combines pre-approved AI models with centralized DevSecOps processes, creating a smooth software supply chain workflow. NVIDIA NIM, part of the NVIDIA AI Enterprise software suite, offers GPU-optimized AI model services as API endpoints and container images. This provides flexibility for developers to deploy AI models in different environments, ensuring security and control over data while leveraging NVIDIA’s optimized infrastructure for high performance and low latency AI inferencing. The JFrog-NVIDIA collaboration addresses key challenges in scaling machine learning model deployments in enterprise environments, such as fragmented asset management, security vulnerabilities, and performance bottlenecks. By streamlining deployment, it brings secure software supply chain management capabilities to generative AI models and artifacts. The partnership includes centralized access control and management of NIM microservice containers alongside other assets, integration with existing DevSecOps workflows, continuous scanning for security, and optimized AI application performance using NVIDIA’s accelerated computing infrastructure. As AI adoption expands rapidly across industries, JFrog’s enhanced platform, supported by NVIDIA’s GPU-optimized services, is well-positioned to meet evolving AI and machine learning needs. Explore how this powerful partnership can transform AI model management for your enterprise. Follow our LinkedIn page to stay updated on the latest in AI and automation. #AI #DevOps #DevSecOps #MachineLearning #NVIDIA #JFrog #ArtificialIntelligence #Automation URL: https://lnkd.in/dgA6bP7n

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🌩️#CloudComputing Is Stifling Creativity in VFX Studios - Here’s How to Fix It: #CoreWeave’s Mac Moore shares how more cloud provider choices give studios leverage to negotiate better, more flexible deals that don’t penalize for multi-cloud usage and enable, not inhibit speed, flexibility, and efficiency. https://bit.ly/3AeMaot #AI #VFX #VFXWorld #AnimationWorld

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Scale at ease, Lower cost & Future proof

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To get the most out of genAI tools, it’s crucial that developers balance AI’s speed with maintaining quality code. In this session at MS Build 2024, Manish Kapur, Senior Director of Products, highlights how Code Generation LLMs and Sonar can help developers become more productive and build better software. https://lnkd.in/gBFw2cFJ #CleanCode #CleanasYouCode #GenAI #AI #GenerativeAI #ArtificialIntelligence #TechNews #Webinar #Github

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