AI
Deploy Android on-device AI with ML Kit GenAI and LiteRT-LM
applied aiai infrastructure
Topic
AI Infrastructure
Making models run fast, cheap, and at scale — GPUs, inference optimization, MLOps, distributed training, and edge deployment.
- GPU computing
- TPU
- AI accelerators
- model serving
- inference optimization
- MLOps
- ML pipelines
- experiment tracking
- feature stores
- model registries
- training infrastructure
- distributed training
- AI hardware
- CUDA
- Triton
- vLLM
- TensorRT
- ONNX
- model deployment
- edge AI inference
- cost optimization
137
Talks
6
Conferences
Google I/O 2026
6 talksDeveloper keynote
Adarsh Fernando, Anshul Ramachandran, Florina Muntenescu, Josh Woodward, Kevin Hou, Logan Kilpatrick
applied aiai infrastructure
Defining the agentic AI era
applied aifoundation modelsai infrastructure
Scale AI with Google's TPU software stack
ai infrastructureapplied ai
Build next-gen AI experiences with Google AI Studio and Google Antigravity
applied aiai infrastructure
Building the quantum-AI future with Hartmut Neven and James Manyika
ai infrastructure
Code with Claude SF USA 2026
4 talksGiving coding agents their own computers: How Cursor built cloud agents
applied aiai infrastructure
The expanding toolkit
applied aiai infrastructure
Building with Claude on Google Cloud
applied aiai infrastructure
Evaluating and improving Replit Agent at scale
applied aiai infrastructure
AIE Europe 2026
33 talksRalph Loops: Build Dumb AI Loops That Ship
applied aiai infrastructure
Code Mode: Let the Code do the Talking - Sunil Pai, Cloudflare
applied aiai infrastructure
Playground in Prod - Optimising Agents in Production Environments
applied aiai infrastructure
TLMs: Tiny LLMs and Agents on Edge Devices with LiteRT-LM
ai infrastructureapplied aifoundation models
Bringing MCPs to the Enterprise
applied aiai infrastructure
How AI is changing Software Engineering: A Conversation with Gergely Orosz
applied aiai infrastructure
Frontier AI at Home (literally)
ai infrastructurefoundation models
Lobster Trap: OpenClaw in Containers from Local to K8s and Back
applied aiai infrastructure
Skill Issue: How We Used AI to Make Agents Actually Good at Supabase
applied aiai infrastructure
Building safe Payment Infrastructure for the autonomous economy
applied aiai infrastructure
Accelerating AI on Edge
ai infrastructure
Codex and Subagents
applied aiai infrastructure
Open-Source Agents Ecosystem
applied aiai infrastructurefoundation models
Training an LLM from Scratch, Locally
foundation modelsai infrastructure
Scaling Agents on Kubernetes with acpx and ACP
applied aiai infrastructure
Vibe Engineering Effect Apps
applied aiai infrastructure
The New Application Layer - Malte Ubl, CTO Vercel
applied aiai infrastructure
Every API Is a Tool for Agents
applied aiai infrastructure
Shipping complex AI applications | Braintrust & Trainline
applied aiai infrastructure
Build Your First Demand-Driven Context Base: Let AI Agents Tell You What They Need
applied aiai infrastructure
Why building eval platforms is hard
applied aiai infrastructure
Running LLMs on your iPhone: 40 tok/s Gemma 4 with MLX — Adrien Grondin, Locally AI
ai infrastructurefoundation models
Harness Engineering: How to Build Software When Humans Steer, Agents Execute
applied aiai infrastructure
Amy Boyd & Nitya Narasimhan - Mind the Gap (In your Agent Observability)
applied aiai infrastructureai safety and ethics
AgentCraft: Putting the Orc in Orchestration — Ido Salomon
applied aiai infrastructure
How to Build Agents That Run for Hours (Without Losing the Plot)
applied aiai infrastructure
Viktor — AI Coworker That Lives in Slack
applied aiai infrastructure
Dark Factory: OpenClaw Ships Faster Than You Can Read the Diff
applied aiai infrastructure
Building your own software factory
applied aiai infrastructure
The Future of MCP — David Soria Parra, Anthropic
applied aiai infrastructure
Make your own event-sourced agent harness using stream processors
applied aiai infrastructure
Nico Albanese - AI SDK v6
applied aiai infrastructure
Building Generative Image & Video models at Scale - Sander Dieleman, Google DeepMind
computer visionfoundation modelsai infrastructure
MCP Dev Summit North America 2026
25 talksYour MCP Server Will Probably Be Abandoned...Or Not - Lahari Chowtoori, Amazon Web Services, Inc.
applied aiai infrastructure
Operating MCP in the Enterprise: From Protocol To Production - Amar Deep Singh, GM Financial & Neelabh Tripathi, Cisco Systems
applied aiai infrastructure
Goose as a Proving Ground for New MCP Features, and How To Use Them - Alex Hancock, Block
applied aiai infrastructure
Every API Is a Tool for Agents
applied aiai infrastructure
Dynamic MCPs: Agentic Discovery, Configuration, and Management of MCP Workloads - Jim Clark, Docker
applied aiai infrastructure
Keynote: Duolingo's AI Slackbot: An Enterprise Assistant With 180+ MCP Tools - Aaron Wang, Software Engineer, Duolingo Inc
applied aiai infrastructure
RPC > MCP: Turning a Decade of APIs Into Agentic Tools - Ze'ev Klapow, HubSpot
applied aiai infrastructure
From One MCP Server To an Ecosystem: When MCP Stops Being a Server and Becomes a Platform - Vaibhav Tupe, Equinix
applied aiai infrastructure
Reflections on Context Engineering Via MCP Servers - Till Döhmen, MotherDuck
applied aiai infrastructure
Kubernetes-Native Agent Discovery: A Unified Registry for MCP Servers and Skills - Carlos Santana, AWS
applied aiai infrastructure
MCP at 18 Months: Protocols, Patterns, and What We Didn't See Coming - Shaun Smith, Hugging Face
applied aiai infrastructure
Skills Vs. MCP Vs. Code Mode: Cutting Through the Hype (and the Rage) - Nikolay Rodionov, Alpic
applied aiai infrastructure
Challenges in Delivering Unstructured Content Efficiently Over MCP - Kailas Krivanka & Fernando Cerenza, Box
applied aiai infrastructure
Stateless: The Future of MCP Transports - Shaun Smith, Hugging Face & Kurtis Van Gent, Google
applied aiai infrastructure
MCP Live: Streaming Context To AI Agents - Harshit Kohli, Amazon Web Services
applied aiai infrastructure
Patterns for Building MCP-powered Agent Systems - Jiquan Ngiam, MintMCP
applied aiai infrastructure
Sponsored Session: The Self-Improving MCP Server: Agents in a Live Development Loop - Enrico Toniato, Manufact
applied aiai infrastructure
Demistifying Client ID Metadata Documents in MCP - Den Delimarsky, Anthropic
applied aiai infrastructure
Building a Workflow Engine on MCP: Orchestrating Processes With Tasks - Donnie Adams, Obot AI
ai infrastructureapplied ai
Sponsored Session: Agents and MCP @ Google Scale - Alan Blount & Vaibhav Katkade, Google Cloud
Google Cloud / Google
applied aiai infrastructure
MCP for Autonomous Storefronts: Building Self-Healing Agent Loops - Guilherme Rodrigues, decocms.com
applied aiai infrastructure
Progressive Tool Discovery: Using MCP Notifications To Manage Context at Scale - Billy Hickman & Lilia Abaibourova, Amazon
applied aiai infrastructure
Sponsored Session: Model Context Pragmatism - Jeremiah Lowin, Prefect
applied aiai infrastructure
MCP Traffic Handling at Scale: Stateless Design, Proxies, and the Road Ahead - Erica Hughberg, Tetrate & Boteng Yao, Google
ai infrastructureapplied ai
OCI Images as MCP Packaging: Supply Chain Security for AI Tools - Juan Antonio Osorio, Stacklok
applied aiai infrastructure
KubeCon + CloudNativeCon Europe 2026
34 talksSecuring the AI/ML Lifecycle With MLSecOps: Open Source Best Practices - Bahaulddin Shammary, Dell & Andrey Shorov, Ericsson
ai infrastructureai safety and ethics
Fusing FinOps, Forecasting, and Kubernetes at Scale - Ankur Singh, Red Hat & Satyam Bhardwaj, Mirantis
ai infrastructureapplied ai
Kubeflow in Cloud Native AI: Orchestrating the Next Wave of Agentic AI and LLMOps - Johnu George, Nutanix; Valentina Rodriguez Sosa & Antonin Stefanutti, Red Hat; Alexander Perlman & Michael Zazula, Capital One
ai infrastructureapplied ai
Route, Serve, Adapt, Repeat: Adaptive Routing for AI Inference Workloads in Kubernetes - Nir Rozenbaum, Red Hat & Kellen Swain, Google
ai infrastructureapplied ai
Advancing Kubernetes AI Conformance: Current State and Roadmap - Yuan Tang, Red Hat; Mario Fahlandt, Kubermatic; Janet Kuo, Google
ai infrastructureapplied ai
Locking Down Ray Serve: How to Secure Ur ML Models? - Kateryna Hrytsaienko, Valtech
ai infrastructureai safety and ethics
To Swap or Not To Swap: Memory Management Design Patterns for AI Workloads in Kubernetes 1.34+ - Nic Vermande, ScaleOps
ai infrastructure
Slinky Expanded: Slurm, Kubernetes, and DRA - Praveen Krishna, Google & Marlow Warnicke, SchedMD LLC
ai infrastructure
Peeking Into the GPU Black Box: Continuous Profiling on Kubernetes With eBPF - Zahari Dichev, Buoyant
ai infrastructure
📚 Tutorial: AI on Kubernetes Without the Chaos: Building Reproducible ML Environments with Argo and Kubeflow - Nourhan Mohamed, KodeKloud
ai infrastructureapplied ai
AI'm at the Gate! Introducing the AI Gateway Working Group in Kubernetes - Morgan Foster & Nir Rozenbaum, Red Hat; Shachar Tal, Palo Alto Networks
ai infrastructureapplied ai
Your Models Are Vulnerable: How KitOps Turns KServe Into a Zero-Trust Inference Platform - Brad Micklea, Jozu & Gavrish Prabhu, Nutanix
ai infrastructureai safety and ethicsapplied ai
📚 Tutorial: KV-Cache Wins You Can Feel: Building AI-Aware LLM Routing on Kubernetes - Tyler Michael Smith, Red Hat; Kay Yan, DaoCloud; Vita Bortnikov, Nili Guy & Maroon Ayoub, IBM
ai infrastructurefoundation modelsapplied ai
Achieving Resilient Multi-Cluster AI Inference on Kubernetes With Karmada and KubeRay - Wei-Cheng Lai, Bloomberg & Han-Ju Chen, Anyscale
ai infrastructureapplied ai
REST in Peace: AI Needs to Be Async - Meet Asya🎭 - Artem Yushkovskiy, Delivery Hero
applied aiai infrastructure
AI Agents & Platform Engineering: Efficiency Boost or New Source of Trouble? - Hasith Kalpage, Cisco; Vincent Caldeira, Red Hat; Sara Qasmi, United Nations; Idit Levine, Solo.io; Carlos Santana, AWS
applied aiai infrastructureai safety and ethics
Enterprise Challenges with MCP Adoption - Christian Posta, Solo.io
applied aiai safety and ethicsai infrastructure
When an Agent Acts on Your Behalf, Who Holds the Keys? - Mariusz Sabath & Maia Iyer, IBM Research
applied aiai safety and ethicsai infrastructure
⚡ Lightning Talk: The $100K GPU Mystery: Why Your AI Training Dies at 99% - Michael Ifeanyi, Google
ai infrastructure
Virtualizing Large Scale GPU Cluster for Sovereign AI: Petasus AI Cloud Journey with Kubernetes - Jian Li, SK Telecom
ai infrastructure
Volcano: Orchestrating the Full AI Lifecycle – From Training To Inference and Agents - Chen Zicong, Huawei Technologies; Hajnal Máté, Aumovio
ai infrastructureapplied ai
Lessons Learned Orchestrating Multi-Tenant GPUs on OpenShift AI with NVIDIA KAI (G/H200) - Luca Berton, Dell Technologies
ai infrastructureapplied ai
Driving Adoption and Automation With MCP in Production at Liftoff - Tommy Nguyen, Liftoff Mobile
applied aiai infrastructure
GPUs on Kubernetes: What Actually Happens When You Request Nvidia.com/gpu: 1 - Gulcan Topcu & Daniele Polencic, LearnKube
ai infrastructure
Optimizing Error Recovery for Cost-Efficient Distributed AI Model Training with Kubernetes - Radostin Stoyanov, University of Oxford & Andrey Velichkevich, Apple; Viktória Spišáková, Masaryk University
ai infrastructure
Cloud Native at the Far(m) Edge: Running Kubernetes and AI on Tractors - Mauro Morales, Spectro Cloud & Jordan Karapanagiotis, Aurea Imaging
ai infrastructurecomputer visionapplied ai
Instrumenting Kueue Scheduling for ML Training - Amy Chen, CoreWeave & Gabriel Saba, Google
ai infrastructure
Breaking the Monolith: Decomposing and Governing Giant LLM Jobs Across Clusters - Kevin Wang, Huawei
ai infrastructureapplied ai
Least-Privilege for AI: Authorizing Agents and MCP Tools with Agentgateway and Kyverno - Luc Chmielowski, Nirmata & Nina Polshakova, Solo.io
applied aiai safety and ethicsai infrastructure
Make GenAI Production-Ready With Kubernetes Patterns - Roland Huss, Red Hat & Bilgin Ibryam, Diagrid
applied aiai infrastructure
Sandbox Operator: Enabling Session-Aware, Efficient MCP Tool Execution in Kubernetes - Mingshan Zhao & Zhen Zhang, Alibaba
applied aiai infrastructure
📚 Tutorial: Building Intelligent Apps with RAG on Kubernetes: From Raw Data to Real-Time Insights - Cedric Clyburn, Natale Vinto, Christopher Nuland & Legare Kerrison, Red Hat
applied aiai infrastructure
Optimizing LLM Inference for the Rest of Us - Abdel Sghiouar, Google
ai infrastructurefoundation models
Evolving KServe: The Unified Model Inference Platform for Both Predictive and Generative AI - Filippe Spolti & Jooho Lee, Red Hat
ai infrastructureapplied ai
Microsoft Build 2025
35 talksAzure AI Foundry Agent Service: Transform agentic workflows | BRK149
applied aiai infrastructure
Azure AI Foundry: The AI app and Agent Factory | BRK155
applied aiai infrastructure
Customizable Solution Patterns in Azure AI Foundry | BRK153
applied aiai infrastructure
Envision a secure AI-accelerated developer experience with Docker | BRKFP253
applied aiai infrastructure
Exploring the Agent landscape | BRK147
applied aiai infrastructure
Foundry Local: Building cutting-edge on-device AI experiences | BRK146
applied aiai infrastructure
Knowledge Retrieval: RAG for enterprise agents with Azure AI Search
applied aiai infrastructure
AI Agents Power Compliance with Saifr on Azure AI Foundry | DEM588
applied aiai infrastructure
AI Startup Spotlight: Build Your Own Web-Connected AI Agent with Nimble \u0026 Azure AI | DEM592
applied aiai infrastructure
Build and ship cross-platform apps on-device with Foundry Local | DEM526
ai infrastructureapplied ai
Local AI development with Foundry Local and .NET Aspire | DEM520
ai infrastructureapplied ai
Accelerating AI Startups: Build Scale and Go to Market | BRK175
applied aiai infrastructure
Beyond the Game: How AI and Data Are Powering the Future of Sports | BRK143
applied ainlp and languageai infrastructure
Building the digital workforce: Multi-agent apps with Azure AI Foundry | BRK148
applied aiai infrastructure
Create agents for Microsoft 365 Copilot with Microsoft 365 Agents SDK | BRK163
applied aiai infrastructure
Developer essentials for agents and apps in Azure AI Foundry | BRK154
applied aiai infrastructure
Enable seamless deployment across Intel Copilot+ AI PCs and Azure | BRKFP250
applied aiai infrastructurefoundation models
Fine-tuning and distillation with Azure AI Foundry | BRK150
applied aifoundation modelsai infrastructure
Solving the Unsolvable: Advanced Agentic AI Models in Azure AI Foundry | BRK171
applied aiai infrastructure
Unleash on-device AI with Snapdragon X Series
ai infrastructureapplied aifoundation models
Unveiling Latest Innovations in Azure AI Foundry Model Catalog | BRK174
applied aiai infrastructurefoundation models
AI Startup Spotlight: Evaluating Multi-Turn AI Agents with Azure AI Foundry and Galileo
applied aiai infrastructure
Accelerate AI app delivery from discovery through deployment with marketplace | DEM595
applied aiai infrastructure
Continuously improve your Agent in production
applied aiai infrastructure
The power within: Running Large Language Models on your local machine | DEM524
ai infrastructureapplied ai
AI and Agent Observability in Azure AI Foundry and Azure Monitor
applied aiai safety and ethicsai infrastructure
Building agents in Copilot Studio using Model Context Protocol, open standards and more
applied aiai infrastructure
Optimize your GenAI applications at scale in Azure AI Foundry | BRK178
applied aiai infrastructure
Train a custom reasoning model at scale with Azure Machine Learning | BRK172
applied aiai infrastructure
Create with Windows AI: Practices For Safe, Responsible Experiences
ai safety and ethicsapplied aiai infrastructure
Enable scalable structured AI agent coordination with Dapr Workflows | ODFP976
applied aiai infrastructure
How to measure the impact of AI code assistants like GitHub Copilot | ODFP953
applied aiai infrastructure
Simplify AI development maximizing the power of local models and MCPs | ODFP973
applied aiai infrastructure
The Agentic Web: A conversation with Jay Parikh [Part 2]
applied aiai infrastructure
Imagine Cup Finalist: Argus, Empowering people with low vision with AI
applied aicomputer visionai infrastructure