Project G-Assist — available through the NVIDIA App — is an experimental AI assistant that helps tune, control and optimize NVIDIA GeForce RTX systems. NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites the community to explore AI and build custom G-Assist plug-ins for a chance to win prizes and be featured on NVIDIA social media channels. G-Assist allows users to control their RTX GPU and other system settings using natural language, thanks to a small language model that runs on device. It can be used from the NVIDIA Overlay in the NVIDIA App without needing to tab out or switch programs. Users can expand its capabilities via plug-ins and even connect it to agentic frameworks such as Langflow. Below, find popular G-Assist plug-ins, hackathon details and tips to get started. Plug-In and Win Join the hackathon by registering and checking out the curated technical resources. G-Assist plug-ins can be built in several ways, including with Python for rapid development, with C++ for performance-critical apps and with custom system interactions for hardware and operating system automation. For those that prefer vibe coding, the G-Assist Plug-In Builder — a ChatGPT-based app that allows no-code or low-code development with natural language commands — makes it easy for enthusiasts to start creating plug-ins. To submit an entry, participants must provide a GitHub repository, including source code file, requirements.txt, manifest.json, config.json, a plug-in executable file and READme code. Then, submit a video — between 30 seconds and two minutes — showcasing the plug-in in action. Finally, hackathoners must promote their plug-in using #AIonRTXHackathon on a social media channel: Instagram, TikTok or X. Submit projects via this form by Wednesday, July 16. Judges will assess plug-ins based on three main criteria: 1) innovation and creativity, 2) technical execution and integration, reviewing technical depth, G-Assist integration and scalability, and 3) usability and community impact, aka how easy it is to use the plug-in. Winners will be selected on Wednesday, Aug. 20. First place will receive a GeForce RTX 5090 laptop, second place a GeForce RTX 5080 GPU and third a GeForce RTX 5070 GPU. These top three will also be featured on NVIDIA’s social media channels, get the opportunity to meet the NVIDIA G-Assist team and earn an NVIDIA Deep Learning Institute self-paced course credit. Project G-Assist requires a GeForce RTX 50, 40 or 30 Series Desktop GPU with at least 12GB of VRAM, Windows 11 or 10 operating system, a compatible CPU, specific disk space requirements and a recent GeForce Game Ready Driver or NVIDIA Studio Driver. Plug-InExplore open-source plug-in samples available on GitHub, which showcase the diverse ways on-device AI can enhance PC and gaming workflows. Popular plug-ins include: Google Gemini: Enables search-based queries using Google Search integration and large language model-based queries using Gemini capabilities in real time without needing to switch programs from the convenience of the NVIDIA App Overlay. Discord: Enables users to easily share game highlights or messages directly to Discord servers without disrupting gameplay. IFTTT: Lets users create automations across hundreds of compatible endpoints to trigger IoT routines — such as adjusting room lights and smart shades, or pushing the latest gaming news to a mobile device. Spotify: Lets users control Spotify using simple voice commands or the G-Assist interface to play favorite tracks and manage playlists. Twitch: Checks if any Twitch streamer is currently live and can access detailed stream information such as titles, games, view counts and more. Get G-Assist  Join the NVIDIA Developer Discord channel to collaborate, share creations and gain support from fellow AI enthusiasts and NVIDIA staff. the date for NVIDIA’s How to Build a G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities, discover the fundamentals of building, testing and deploying Project G-Assist plug-ins, and participate in a live Q&A session. Explore NVIDIA’s GitHub repository, which provides everything needed to get started developing with G-Assist, including sample plug-ins, step-by-step instructions and documentation for building custom functionalities. Learn more about the ChatGPT Plug-In Builder to transform ideas into functional G-Assist plug-ins with minimal coding. The tool uses OpenAI’s custom GPT builder to generate plug-in code and streamline the development process. NVIDIA’s technical blog walks through the architecture of a G-Assist plug-in, using a Twitch integration as an example. Discover how plug-ins work, how they communicate with G-Assist and how to build them from scratch. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information. #plug #play #build #gassist #plugin

Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production. Founding a consumer product company from scratch was a tall order for a single person. Going from preliminary sketches to production-ready designs was a major challenge. To bring his creative vision to life, Theriault relied on AI and his NVIDIA GeForce RTX-equipped system. For him, AI isn’t just a tool — it’s an entire pipeline to help him accomplish his goals. about his workflow below. Plus, GeForce RTX 5050 laptops start arriving today at retailers worldwide, from GeForce RTX 5050 Laptop GPUs feature 2,560 NVIDIA Blackwell CUDA cores, fifth-generation AI Tensor Cores, fourth-generation RT Cores, a ninth-generation NVENC encoder and a sixth-generation NVDEC decoder. In addition, NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites developers to explore AI and build custom G-Assist plug-ins for a chance to win prizes. the date for the G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities and fundamentals, and to participate in a live Q&A session. From Concept to Completion To create his standout products, Theriault tinkers with potential FITY Flex cooler designs with traditional methods, from sketch to computer-aided design to rapid prototyping, until he finds the right vision. A unique aspect of the FITY Flex design is that it can be customized with fun, popular shoe charms. For packaging design inspiration, Theriault uses his preferred text-to-image generative AI model for prototyping, Stable Diffusion XL — which runs 60% faster with the NVIDIA TensorRT software development kit — using the modular, node-based interface ComfyUI. ComfyUI gives users granular control over every step of the generation process — prompting, sampling, model loading, image conditioning and post-processing. It’s ideal for advanced users like Theriault who want to customize how images are generated. Theriault’s uses of AI result in a complete computer graphics-based ad campaign. Image courtesy of FITY. NVIDIA and GeForce RTX GPUs based on the NVIDIA Blackwell architecture include fifth-generation Tensor Cores designed to accelerate AI and deep learning workloads. These GPUs work with CUDA optimizations in PyTorch to seamlessly accelerate ComfyUI, reducing generation time on FLUX.1-dev, an image generation model from Black Forest Labs, from two minutes per image on the Mac M3 Ultra to about four seconds on the GeForce RTX 5090 desktop GPU. ComfyUI can also add ControlNets — AI models that help control image generation — that Theriault uses for tasks like guiding human poses, setting compositions via depth mapping and converting scribbles to images. Theriault even creates his own fine-tuned models to keep his style consistent. He used low-rank adaptationmodels — small, efficient adapters into specific layers of the network — enabling hyper-customized generation with minimal compute cost. LoRA models allow Theriault to ideate on visuals quickly. Image courtesy of FITY. “Over the last few months, I’ve been shifting from AI-assisted computer graphics renders to fully AI-generated product imagery using a custom Flux LoRA I trained in house. My RTX 4080 SUPER GPU has been essential for getting the performance I need to train and iterate quickly.” – Mark Theriault, founder of FITY  Theriault also taps into generative AI to create marketing assets like FITY Flex product packaging. He uses FLUX.1, which excels at generating legible text within images, addressing a common challenge in text-to-image models. Though FLUX.1 models can typically consume over 23GB of VRAM, NVIDIA has collaborated with Black Forest Labs to help reduce the size of these models using quantization — a technique that reduces model size while maintaining quality. The models were then accelerated with TensorRT, which provides an up to 2x speedup over PyTorch. To simplify using these models in ComfyUI, NVIDIA created the FLUX.1 NIM microservice, a containerized version of FLUX.1 that can be loaded in ComfyUI and enables FP4 quantization and TensorRT support. Combined, the models come down to just over 11GB of VRAM, and performance improves by 2.5x. Theriault uses the Blender Cycles app to render out final files. For 3D workflows, NVIDIA offers the AI Blueprint for 3D-guided generative AI to ease the positioning and composition of 3D images, so anyone interested in this method can quickly get started. Photorealistic renders. Image courtesy of FITY. Finally, Theriault uses large language models to generate marketing copy — tailored for search engine optimization, tone and storytelling — as well as to complete his patent and provisional applications, work that usually costs thousands of dollars in legal fees and considerable time. Generative AI helps Theriault create promotional materials like the above. Image courtesy of FITY. “As a one-man band with a ton of content to generate, having on-the-fly generation capabilities for my product designs really helps speed things up.” – Mark Theriault, founder of FITY Every texture, every word, every photo, every accessory was a micro-decision, Theriault said. AI helped him survive the “death by a thousand cuts” that can stall solo startup founders, he added. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information. #startup #uses #nvidia #rtxpowered #generative

Learn GameDev with Unity, Unreal, GameMaker, Blender and C# Humble Bundle / News / June 11, 2025 / The Learn GameDev with Unity, Godot, Unreal, GameMaker, Blender and C# Humble Bundle from Zenva is now available. Each game engine comes with 5 or more courses covering all aspects of game development. This bundle joins the No-Code No-Problem Develop bundle and the Big Bang Unreal Unity and Godot bundle already live on Humble. As with most Humble Bundles, this one is organized into tiers: 1$ Tier Intro to Godot 4 Game DevelopmentIntro to the Game Development Industry Makes No Sense Tier Explore Audio for Godot 4 Games UV Mapping in Blender for Beginners UI/UX for Game Design 25$ Tier Godot 4 Mini-ProjectsCreate a Micro Turn-Based RPG in Godot3D Action-Adventure Game in Godot – Unit 1 – Characters Intro to Visual Shaders in Godot 4 Learn Game Optimization for Godot 4 Coin Collector Game – Godot Mobile Projects Unreal Engine Mini-Projects Intro to Unreal Engine Game Development Create a Racing Game in Unreal Engine The Complete Unreal Engine C++ Course – Build an FPS Create a Turn-Based Mini RPG in Unreal Engine Build a 2.5D Farming RPG with Unreal Engine Intro to Game Development with Unity Unity Mini-Projects – C# Fundamentals Explore Game Optimization in Unity 6 Intro to ECS for Unity 6 Build an Arcade Kart Racing Game in Unity Construct a Mobile Physics Game in Unity Intro to Particle Systems for Unity Games Intro to Game Development with GameMaker Create a Complete 2D Action RPG in GameMaker Build a Real-Time Strategy Mini-Game with GameMaker Develop an Idle Clicker from Scratch in GameMaker Make a Mini Turn-Based RPG from Scratch in GameMaker The Comprehensive Introduction to C# Programming Build a Complete Mini 2D Game Engine with C# Learn 3D Modeling with Blender from Scratch Intro to Rigging Models in Blender MagicaVoxel for Beginners – Create Voxel Game Assets Prompt Engineering for Game Developers You can learn more about the Learn GameDev with Unity, Godot, Unreal, GameMaker, Blender and C# Humble Bundle in the video below. Using links on this page to purchase the bundle helps support GFS #learn #gamedev #with #unity #unreal

I was recently playing Star Wars Battlefront as it recently gained popularity again, so I decided to make a fan trailer! Hopefully we'll see Star Wars Battlefront 3 in the future! This trailer was inspired by the loading screen of Battlefront 2. This was created using Blender + Nuke together. Song credit to Sam Kim and Lucasfilm. This video is not linked to Electronic Arts, Lucasfilm, or related to Battlefront in any official capacity. -------------- Haven't learned Nuke yet and you want to make your shots look feature film level? Learn Here with our Nuke Fundamentals Series 👉 Want the VFX Assets or plugins featured in our videos?: Check it out here:👉 #this #star #wars #battlefront #trailer

Deal  When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. The 2025 Complete Splunk Beginner Bundle is now 25% off Neowin Deals · Jun 14, 2025 16:00 EDT Today's highlighted deal comes via Neowin Deals store, where you can save 75% on The 2025 Complete Splunk Beginner Bundle Splunk is a powerful data platform used to gather information from multiple sources and index it for efficient access. You can then use collected data to create visualizations, analytics, and a variety of automated and security-related functions. With its web-style interface, Splunk is easy to use and is utilized by many companies worldwide. What's Included: Splunk Fundamentals for Effective Management of SOC and SIEM Oak Academy 38 LessonsLifetime Value Splunk | Splunk Core Certified User Certification Prep Lab Oak Academy, 63 Lessons,Lifetime, Value Splunk | Splunk Core Certified Power User SPLK 1002 Prep Oak Academy, 53 Lessons, Lifetime, Value Splunk| Splunk Enterprise Certified Admin Certification Prep Oak Academy, 68 Lessons, Lifetime, Value Requirements Basic understanding of IT and networking concepts Familiarity with Linux and Windows operating systems A computer with internet access for hands-on practice Good to Know Length of time users can access this course: lifetime Access options: desktop or mobile Redemption deadline: redeem your code within 30 days of purchase Experience level required: all levels Certificate of Completion ONLY Updates included Closed captioning NOT available NOT downloadable for offline viewing Learn more about our Lifetime deals here! Lifetime access to this 2025 Complete Splunk Beginner Bundle normally costs but this deal can be yours for just that's a saving of For full terms, specifications, and info, click the link below. Although priced in U.S. dollars, this deal is available for digital purchase worldwide. We post these because we earn commission on each sale so as not to rely solely on advertising, which many of our readers block. It all helps toward paying staff reporters, servers and hosting costs. Other ways to support Neowin Whitelist Neowin by not blocking our ads Create a free member account to see fewer ads Make a donation to support our day to day running costs Subscribe to Neowin - for a year, or a year for an ad-free experience Disclosure: Neowin benefits from revenue of each sale made through our branded deals site powered by StackCommerce. Tags Report a problem with article Follow @NeowinFeed #complete #splunk #beginner #bundle #now

Get ready for CORE - streaming now - In this live stream, @KennyPhases will be creating a Geometry Nodes Aerodynamic Simulation! *NEW* CORE Fundamentals: Perhaps our most ambitious undertaking yet, CORE Fundamentals, will elevate your Blender skills. All 9 courses will be released together, all recorded in Blender 4.2. Our expert instructors are working daily on the most important bundle of courses to drill down on your Blender skills and achieve your dreams as a 3D artist. 9 courses, 8 instructors, 1 epic journey for Blender Artists. CORE Fundamentals will be streaming on CG Cookie and is currently available on Blender Market Stay informed and follow along as we prepare to launch CORE Free Assets: Kenny Phases YouTube Channel: _______________________________________________________________________________________________________ "WHO IS CG COOKIE?" We are real people!CG Cookie is a small crew of Blender artists, baking fresh videos for the Blender community. 🍪 If you love what we do, consider enrolling to to stream 100's of Blender courses with passionate Blender instructors there to answer your questions. "WHERE SHOULD I START LEARNING BLENDER?" For Blender beginners, we have a free tutorial series "Getting Started with Blender" "I WANT MORE CG COOKIE IN MY LIFE!" Got it. Here's where you can reach us! / cgcookie / cgcookie / cgcookieinc Want Blender news in your mailbox? Sign up here for spam-free newsletter #CGCookie #blendertutorial #b3d #blender #tutorial #geometry #nodes #particle