
Dmytro Spodarets Podcast #1: AI Agents, Scalr, OpenTofu, DevOps tools, MLOps, LLMops
Infrastructure trends, DevOps challenges, and bold predictions — including whether AI Agents could replace DevOps engineers.
Infrastructure trends, DevOps challenges, and bold predictions — including whether AI Agents could replace DevOps engineers.
Watch the live demo of CopySight AI from AI Demo Jam. CopySight AI is the first tool enabling safe GenAI usage for enterprise-level content.
Watch the live demo of Openlicense from AI Demo Jam. Openlicense is an agentic content monetization platform helping creators unlock new revenue streams.
Watch the live demo of Future AGI from AI Demo Jam. Future AGI lets you build, evaluate, and optimize agentic workflows and ship to production 10x faster.
Watch the live demo of Divinia from AI Demo Jam. Divinia’s NLP technology boosts revenue by delivering personalized search and authentic content at scale.
Watch the live demo of CarbonCopies from AI Demo Jam. Their AI-powered user replicas help optimize product flows and improve website validation.
Watch the live demo of XNODE from AI Demo Jam — an AI-powered B2B SaaS platform simplifying enterprise AI adoption with secure, scalable automation for businesses.
What do AI experts really think about the future of AI, open-source models, and startup success? Hear real-world insights at AI DEMO JAM — full video inside!
Say goodbye to boring bags — this electric rideable suitcase scooter lets you glide through airports with ease. Discover why Jitlife’s smart luggage is every traveler’s dream!
Explore how HPE GenAI solutions can transform AI development and deployment through a comprehensive approach to infrastructure and use case implementation. This webinar will showcase HPE PCAI platform, along with advanced AI hardware and software, demonstrating real-world applications.
During this talk, we will discuss the Kubernetes stack's drawbacks in the context of AI and show how dstack addresses them in the training and deployment of GenAI models.
During this talk, we will discuss a comprehensive understanding of the evaluation processes for LLMs, particularly in the context of preparing these models for deployment in production environments.