High Performance Real time object detection on Nvidia Jetson TX2.
Real time object detection on my Nvidia Jetson TX2. The real time term here simply means, low latency and high throughput. It's a very loosely defined term, but it's used here in contrast to the store-and-process pattern, where storage is used as an interim stage.Visual Studio AI Toolkit : Building Phi-3 GenAI Applications
Port Forwarding, a valuable feature within the AI Toolkit, serves as a crucial gateway for seamless communication with the GenAI model. Whether it's through a straightforward API call or leveraging the SDKs, this functionality greatly enhances our ability to harness the power of the LLM/SLM. By enabling Port Forwarding, a plethora of new scenarios unfold, unlocking the full potential of our interactions with the model.
nvidia openGL in Ubuntu not working
Hi Everyone, I've created a linux based VM in Azure which uses the Nvidia graphics cards and i've been trying to get openGL working on my ubuntu azure machine and simply can't get it to work. I've wasted 12hrs so far today and i'm tearing my hear out now. I've followed microsofts guide to the letter! https://docs.microsoft.com/en-us/azure/virtual-machines/linux/n-series-driver-setup?toc=%2fazure%2fvirtual-machines%2flinux%2ftoc.json I've read tons of posts in other forums, none of them of any help. basically whenever i try and run glxinfo i get the error "couldn't find RGB GLX visual or fbconfig. I can't run any openGL programs as it says that i don't have openGL. I've uploaded my xorg log and i there's a line in there stating "failed to initialize GLX extension (compatible nvidia x driver not found) I've also confirmed the drivers are installed correctly by running the "nvidia-smi" command any help would be very much appreciated. SalBuild AI Agents with MCP Tool Use in Minutes with AI Toolkit for VSCode
We’re excited to announce Agent Builder, the newest evolution of what was formerly known as Prompt Builder, now reimagined and supercharged for intelligent app development. This powerful tool in AI Toolkit enables you to create, iterate, and optimize agents—from prompt engineering to tool integration—all in one seamless workflow. Whether you're designing simple chat interactions or complex task-performing agents with tool access, Agent Builder simplifies the journey from idea to integration. Why Agent Builder? Agent Builder is designed to empower developers and prompt engineers to: 🚀 Generate starter prompts with natural language 🔁 Iterate and refine prompts based on model responses 🧩 Break down tasks with prompt chaining and structured outputs 🧪 Test integrations with real-time runs and tool use such as MCP servers 💻 Generate production-ready code for rapid app development And a lot of features are coming soon, stay tuned for: 📝 Use variables in prompts �� Run agent with test cases to test your agent easily 📊 Evaluate the accuracy and performance of your agent with built-in or your custom metrics ☁️ Deploy your agent to cloud Build Smart Agents with Tool Use (MCP Servers) Agents can now connect to external tools through MCP (Model Control Protocol) servers, enabling them to perform real-world actions like querying a database, accessing APIs, or executing custom logic. Connect to an Existing MCP Server To use an existing MCP server in Agent Builder: In the Tools section, select + MCP Server. Choose a connection type: Command (stdio) – run a local command that implements the MCP protocol HTTP (server-sent events) – connect to a remote server implementing the MCP protocol If the MCP server supports multiple tools, select the specific tool you want to use. Enter your prompts and click Run to test the agent's interaction with the tool. This integration allows your agents to fetch live data or trigger custom backend services as part of the conversation flow. Build and Scaffold a New MCP Server Want to create your own tool? Agent Builder helps you scaffold a new MCP server project: In the Tools section, select + MCP Server. Choose MCP server project. Select your preferred programming language: Python or TypeScript. Pick a folder to create your server project. Name your project and click Create. Agent Builder generates a scaffolded implementation of the MCP protocol that you can extend. Use the built-in VS Code debugger: Press F5 or click Debug in Agent Builder Test with prompts like: System: You are a weather forecast professional that can tell weather information based on given location. User: What is the weather in Shanghai? Agent Builder will automatically connect to your running server and show the response, making it easy to test and refine the tool-agent interaction. AI Sparks from Prototype to Production with AI Toolkit Building AI-powered applications from scratch or infusing intelligence into existing systems? AI Sparks is your go-to webinar series for mastering the AI Toolkit (AITK) from foundational concepts to cutting-edge techniques. In this bi-weekly, hands-on series, we’ll cover: 🚀SLMs & Local Models – Test and deploy AI models and applications efficiently on your own terms locally, to edge devices or to the cloud 🔍 Embedding Models & RAG – Supercharge retrieval for smarter applications using existing data. 🎨 Multi-Modal AI – Work with images, text, and beyond. 🤖 Agentic Frameworks – Build autonomous, decision-making AI systems. Watch on Demand Share your feedback Get started with the latest version, share your feedback, and let us know how these new features help you in your AI development journey. As always, we’re here to listen, collaborate, and grow alongside our amazing user community. Thank you for being a part of this journey—let’s build the future of AI together! Join our Microsoft Azure AI Foundry Discord channel to continue the discussion 🚀
Microsoft Edge Dev crashes on a regular basis unless I'm running it from the Linux terminal
(Reposted from Microsoft Answers Community: https://answers.microsoft.com/en-us/microsoftedge/forum/msedge_crash-msedge_prevwin/microsoft-edge-dev-crashes-on-a-regular-basis/6f26ec72-32e0-4323-a294-0dcad6260a07) This started happening yesterday, and even after downgrading 2 versions back, then upgrading again, the issue won't go away. Here's what's going on: When I start Microsoft Edge Dev normally, through a shortcut on Linux, the browser opens fine, and will usually crash ~10 minutes later, or sometimes a few minutes later. But, when I start it from the terminal, it runs pretty fine, with very few crashes. Here's the output log: $ microsoft-edge-dev libva error: vaGetDriverNameByIndex() failed with unknown libva error, driver_name = (null) [8447:8447:0123/133205.683161:ERROR:assistance_home_client.cc(32)] File path /home/user/.config/microsoft-edge-dev/Default MESA-LOADER: failed to retrieve device information MESA-LOADER: failed to open nvidia-drm: /usr/lib/dri/nvidia-drm_dri.so: cannot open shared object file: Permission denied (search paths /usr/lib/x86_64-linux-gnu/dri:\$${ORIGIN}/dri:/usr/lib/dri, suffix _dri) failed to load driver: nvidia-drm MESA-LOADER: failed to open zink: /usr/lib/dri/zink_dri.so: cannot open shared object file: Permission denied (search paths /usr/lib/x86_64-linux-gnu/dri:\$${ORIGIN}/dri:/usr/lib/dri, suffix _dri) failed to load driver: zink MESA-LOADER: failed to open kms_swrast: /usr/lib/dri/kms_swrast_dri.so: cannot open shared object file: Permission denied (search paths /usr/lib/x86_64-linux-gnu/dri:\$${ORIGIN}/dri:/usr/lib/dri, suffix _dri) failed to load driver: kms_swrast MESA-LOADER: failed to open swrast: /usr/lib/dri/swrast_dri.so: cannot open shared object file: Permission denied (search paths /usr/lib/x86_64-linux-gnu/dri:\$${ORIGIN}/dri:/usr/lib/dri, suffix _dri) failed to load swrast driver [8447:8447:0123/133209.219594:ERROR:smartscreen_dns_resolver.cc(110)] SmartScreenDnsResolver::OnComplete Error: -7 DidTimeOut: 1 URL: https://ntp.msn.com/edge/ntp?locale=en-US&title=New%20tab&dsp=0&sp=DuckDuckGo&startpage=1&PC=U531 [8447:8447:0123/133213.657014:ERROR:object_proxy.cc(622)] Failed to call method: org.freedesktop.ScreenSaver.GetActive: object_path= /org/freedesktop/ScreenSaver: org.freedesktop.DBus.Error.NotSupported: This method is not implemented Warning: disabling flag --expose_wasm due to conflicting flags (note here: the expose_wasm warning keeps reappearing multiple times during the time the browser is open) [8447:8447:0123/133930.176470:ERROR:interface_endpoint_client.cc(695)] Message 0 rejected by interface blink.mojom.WidgetHost [27075:1:0123/150305.181159:ERROR:picture_in_picture_overlay_agent.cc(49)] Connection to PIPOverlayDriver dropped [8492:8518:0123/150655.507233:ERROR:x11_software_bitmap_presenter.cc(142)] XGetWindowAttributes failed for window 10485928 [8447:8447:0123/161844.895173:ERROR:smartscreen_dns_resolver.cc(110)] SmartScreenDnsResolver::OnComplete Error: -7 DidTimeOut: 1 URL: https://kerstinmartin.com/blog/copyright-notice [8492:8492:0123/172329.479822:ERROR:shared_image_manager.cc(197)] SharedImageManager::ProduceSkia: Trying to Produce a Skia representation from a non-existent mailbox. (ultimately, these two lines to appear before a crash) [0123/203750.329461:ERROR:elf_dynamic_array_reader.h(64)] tag not found Segmentation fault My computer: i7-2600 3.40Ghz 8GB DDR3 GTX 1650 4GB DDR5 1TB HDD + 500GB HDD Ubuntu 22.04.1 LTS, Kernel Linux 5.15.0-58-generic x86_64 Wayland, latest NVIDIA 525 proprietary drivers I think this has something to do with the MESA drivers not being able to open nvidia_drm, zink, kms_swrast, swrast, and some issues with libva, but I'm not 100% sure. I have submitted 1 crash report yesterday, but until this might be fixed, what can I do?
NV series VM
I'm looking for information about the use of NV-Series VM for VDI implementation . What I need to understand how users will share this VM into virtual workstation. From documentation I see that a single NV24 VM can run up to 4 "virtual workstations" hence 4 users . My question is how do the users "share" that vm ? Do they simply RDP on that ? If they all 4 connect to it are RDS licenses needed ? Which operating systems are supported on that type of VM ? thanksAVD Pools using AMD CPU/GPU vs. NVIDIA-Intel CPU/.GPU
Has anyone setup / run any AVD Host Pools using AMD GPU (and AMD CPU)? NVas V4 series? How was the experience for users compared to the NVv3 NVIDIA / Intel VMs? Could you run 1 user per vCPU on a Host with no issues? How was GPU performance? I know the NV V4 series VMs use partial GPUs (except the NV32as V4 which uses a whole). For Applications that rely on GPU performance how did the AMD GPUs perform vs. NVDIA. Did you see any issues using the partial GPUs? Was CPU performance good vs, Intel CPUs?Azure Deep Learning and ND, NC series with NVidia
First published on MSDN on Dec 21, 2017 ND and NCv2 Series VMs generally availableND-Series virtual machines (VMs) are specifically designed for the needs of artificial intelligence (AI) and Deep Learning workloads, offering excellent performance for training and inference: ✓They are powered by NVIDIA Tesla P40 GPUs based on the new Pascal Architecture and provide excellent performance for FP32 (single precision floating point operations), for AI workloads utilizing CNTK, TensorFlow, Caffe, and other frameworks.Week 2 . Microsoft Agents Hack Online Events and Readiness Resources
https://aka.ms/agentshack 2025 is the year of AI agents! But what exactly is an agent, and how can you build one? Whether you're a seasoned developer or just starting out, this FREE three-week virtual hackathon is your chance to dive deep into AI agent development. Register Now: https://aka.ms/agentshack 🔥 Learn from expert-led sessions streamed live on YouTube, covering top frameworks like Semantic Kernel, Autogen, the new Azure AI Agents SDK and the Microsoft 365 Agents SDK. Week 2 Events: April 14th-18th Day/Time Topic Track 4/14 08:00 AM PT Building custom engine agents with Azure AI Foundry and Visual Studio Code Copilots 4/15 07:00 AM PT Your first AI Agent in JS with Azure AI Agent Service JS 4/15 09:00 AM PT Building Agentic Applications with AutoGen v0.4 Python 4/15 12:00 PM PT AI Agents + .NET Aspire C# 4/15 03:00 PM PT Prototyping AI Agents with GitHub Models Python 4/16 04:00 AM PT Multi-agent AI apps with Semantic Kernel and Azure Cosmos DB C# 4/16 06:00 AM PT Building declarative agents with Microsoft Copilot Studio & Teams Toolkit Copilots 4/16 07:00 AM PT Prompting is the New Scripting: Meet GenAIScript JS 4/16 09:00 AM PT Building agents with an army of models from the Azure AI model catalog Python 4/16 12:00 PM PT Multi-Agent API with LangGraph and Azure Cosmos DB Python 4/16 03:00 PM PT Mastering Agentic RAG Python 4/17 06:00 AM PT Build your own agent with OpenAI, .NET, and Copilot Studio C# 4/17 09:00 AM PT Building smarter Python AI agents with code interpreters Python 4/17 12:00 PM PT Building Java AI Agents using LangChain4j and Dynamic Sessions Java 4/17 03:00 PM PT Agentic Voice Mode Unplugged Python
