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This week, Hackaday’s Elliot Williams and Kristina Panos met up over the tubes to bring you the latest news, mystery sound, and of course, a big bunch of hacks from …read more

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Generative AI has reshaped how people create, imagine and interact with digital content. As AI models continue to grow in capability and complexity, they require more VRAM, or video random access memory. The base Stable Diffusion 3.5 Large model, for example, uses over 18GB of VRAM — limiting the number of systems that can run it well. By applying quantization to the model, noncritical layers can be removed or run with lower precision. NVIDIA GeForce RTX 40 Series and the Ada Lovelace generation of NVIDIA RTX PRO GPUs support FP8 quantization to help run these quantized models, and the latest-generation NVIDIA Blackwell GPUs also add support for FP4. NVIDIA collaborated with Stability AI to quantize its latest model, Stable Diffusion (SD) 3.5 Large, to FP8 — reducing VRAM consumption by 40%. Further optimizations to SD3.5 Large and Medium with the NVIDIA TensorRT software development kit (SDK) double performance. In addition, TensorRT has been reimagined for RTX AI PCs, combining its industry-leading performance with just-in-time (JIT), on-device engine building and an 8x smaller package size for seamless AI deployment to more than 100 million RTX AI PCs. TensorRT for RTX is now available as a standalone SDK for developers. RTX-Accelerated AI NVIDIA and Stability AI are boosting the performance and reducing the VRAM requirements of Stable Diffusion 3.5, one of the world’s most popular AI image models. With NVIDIA TensorRT acceleration and quantization, users can now generate and edit images faster and more efficiently on NVIDIA RTX GPUs. Stable Diffusion 3.5 quantized FP8 (right) generates images in half the time with similar quality as FP16 (left). Prompt: A serene mountain lake at sunrise, crystal clear water reflecting snow-capped peaks, lush pine trees along the shore, soft morning mist, photorealistic, vibrant colors, high resolution. To address the VRAM limitations of SD3.5 Large, the model was quantized with TensorRT to FP8, reducing the VRAM requirement by 40% to 11GB. This means five GeForce RTX 50 Series GPUs can run the model from memory instead of just one. SD3.5 Large and Medium models were also optimized with TensorRT, an AI backend for taking full advantage of Tensor Cores. TensorRT optimizes a model’s weights and graph — the instructions on how to run a model — specifically for RTX GPUs. FP8 TensorRT boosts SD3.5 Large performance by 2.3x vs. BF16 PyTorch, with 40% less memory use. For SD3.5 Medium, BF16 TensorRT delivers a 1.7x speedup. Combined, FP8 TensorRT delivers a 2.3x performance boost on SD3.5 Large compared with running the original models in BF16 PyTorch, while using 40% less memory. And in SD3.5 Medium, BF16 TensorRT provides a 1.7x performance increase compared with BF16 PyTorch. The optimized models are now available on Stability AI’s Hugging Face page. NVIDIA and Stability AI are also collaborating to release SD3.5 as an NVIDIA NIM microservice, making it easier for creators and developers to access and deploy the model for a wide range of applications. The NIM microservice is expected to be released in July. TensorRT for RTX SDK Released Announced at Microsoft Build — and already available as part of the new Windows ML framework in preview — TensorRT for RTX is now available as a standalone SDK for developers. Previously, developers needed to pre-generate and package TensorRT engines for each class of GPU — a process that would yield GPU-specific optimizations but required significant time. With the new version of TensorRT, developers can create a generic TensorRT engine that’s optimized on device in seconds. This JIT compilation approach can be done in the background during installation or when they first use the feature. The easy-to-integrate SDK is now 8x smaller and can be invoked through Windows ML — Microsoft’s new AI inference backend in Windows. Developers can download the new standalone SDK from the NVIDIA Developer page or test it in the Windows ML preview. For more details, read this NVIDIA technical blog and this Microsoft Build recap. Join NVIDIA at GTC Paris At NVIDIA GTC Paris at VivaTech — Europe’s biggest startup and tech event — NVIDIA founder and CEO Jensen Huang yesterday delivered a keynote address on the latest breakthroughs in cloud AI infrastructure, agentic AI and physical AI. Watch a replay. GTC Paris runs through Thursday, June 12, with hands-on demos and sessions led by industry leaders. Whether attending in person or joining online, there’s still plenty to explore at the event. 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.

This article was originally published on GameDevDigest.comEnjoy!What was Radiant AI, anyway? - A ridiculously deep dive into Oblivion's controversial AI system and its legacyblog.paavo.meConsider The Horse Game - No I don’t think every dev should make a horse game (unlike horror, which I still think everyone should at least one). But I do think every developer should at least look at them, maybe even play one because, it is very important that you understand the importance of genre, fandom, and how visibility works. Even if you are not making a horse game, the lessons you can learn by looking at this sub genre are very similar to other genres, just not as blatantly clear as they are with horse games.howtomarketagame.comMaking a killing: The playful 2D terror of Psycasso® - I sat down with lead developer Benjamin Lavender and Omni, designer and producer, to talk about this playfully gory game that gives a classic retro style and a fresh (if gruesome) twist.UnityIntroduction to Asset Manager transfer methods in Unity - Unity's Asset Manager is a user-friendly digital asset management platform supporting over 70 file formats to help teams centralize, organize, discover, and use assets seamlessly across projects. It reduces redundant work by design, making cross-team collaboration smoother and accelerating production workflows.UnityVideosRules of the Game: Five Tricks of Highly Effective Designers - Every working designer has them: unique techniques or "tricks" that they use when crafting gameplay. Sure, there's the general game design wisdom that everyone agrees on and can be found in many a game design book, but experienced game designers often have very specific rules that are personal to them, techniques that not everyone knows about or even agrees with. In this GDC 2015 session, five experienced game designers join the stage for 10 minutes each to share one game design "trick" that they use.Game Developers ConferenceBinding of Isaac Style Room Generator in Unity [Full Tutorial] - Our third part in the series - making the rooms!Game Dev GarnetIntroduction to Unity Behavior | Unity Tutorial - In this video you'll become familiar with the core concepts of Unity Behavior, including a live example.LlamAcademyHow I got my demo ready for Steam Next Fest - It's Steam Next Fest, and I've got a game in the showcase. So here are 7 tips for making the most of this demo sharing festival.Game Maker's ToolkitOptimizing lighting in Projekt Z: Beyond Order - 314 Arts studio lead and founder Justin Miersch discuss how the team used the Screen Space Global Illumination feature in Unity’s High Definition Render Pipeline (HDRP), along with the Unity Profiler and Timeline to overcome the lighting challenges they faced in building Projekt Z: Beyond Order.UnityMemory Arenas in Unity: Heap Allocation Without the GC - In this video, we explore how to build a custom memory arena in Unity using unsafe code and manual heap allocation. You’ll learn how to allocate raw memory for temporary graph-like structures—such as crafting trees or decision planners—without triggering the garbage collector. We’ll walk through the concept of stack frames, translate that to heap-based arena allocation, and implement a fast, disposable system that gives you full control over memory layout and lifetime. Perfect for performance-critical systems where GC spikes aren’t acceptable.git-amendCloth Animation Using The Compute Shader - In this video, we dive into cloth simulation using OpenGL compute shaders. By applying simple mathematical equations, we’ll achieve smooth, dynamic movement. We'll explore particle-based simulation, tackle synchronization challenges with double buffering, and optimize rendering using triangle strips for efficient memory usage. Whether you're familiar with compute shaders or just getting started, this is the perfect way to step up your real-time graphics skills!OGLDEVHow we're designing games for a broader audience - Our games are too hardBiteMe GamesAssetsLearn Game Dev - Unity, Godot, Unreal, Gamemaker, Blender & C# - Make games like a pro.Passionate about video games? Then start making your own! Our latest bundle will help you learn vital game development skills. 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Gardenful / TAOASave this picture!© Tao LeiLandscape Architecture•Beijing, China Architects: TAOA Area Area of this architecture project Area:  227 m² Year Completion year of this architecture project Year:  2024 Photographs Photographs:Tao LeiMore SpecsLess Specs Save this picture! Text description provided by the architects. This is an urban garden built for private use. As a corner of the city, I hope to fill the whole garden with abundant nature in this small space. The site is an open space in a villa compound, surrounded by a cluster of European-style single-family villas typical of Chinese real estate. Modern buildings greatly meet the requirements of indoor temperature and humidity comfort because of their complete facilities, but the building also has a clear climate boundary, cutting off the connection between indoor and outdoor, but also cut off the continuity of nature and life.Save this picture!Save this picture!There is no simple definition of the project as a garden or a building, too simple definition will only fall into the narrow imagination, the purpose is only to establish a place that can accommodate a piece of real nature, can give people shelter, can also walk in it. It is the original intention of this design to build a quiet place where you can be alone, a semi-indoor and semi-outdoor space, and re-lead the enclosed life to the outdoors and into the nature.Save this picture!Save this picture!The square site in the middle of the garden, which is a relatively independent space, the top shelter provides a comfortable life and cozy, the middle of the garden exposed a sky, sunshine and rain and snow will be staged here. With the corresponding land below, the trees and vegetation of the mountains are introduced into it, maintaining the most primitive wildness. To remain wild in this exquisite urban space, in this abstract geometric order, will naturally get rid of the wild gas of the original nature. A spatial transformation is made on both sides to the north, through the stairway and the upward pull of the roof space, extending the narrow auxiliary garden, which has no roof and is therefore bright, maintaining a different light and shade relationship from the central garden, which is filled with rocks and plants transplanted from the mountains.Save this picture!Save this picture!Save this picture!The structure of the garden is thin and dense synthetic bamboo, and the cross combination of dense structures forms a partition of the space, like a bamboo fence, forming a soft boundary. The interior of the space is lined with wooden panels, and the exterior is covered with thin and crisp aluminum panels. The "bridge" made of stone panels passes through different Spaces, sometimes standing between the bamboo structures, sometimes crossing the rocks, walking between them. Moving between order and wildness.Save this picture!Nature is difficult to measure, and because of its rich and ever-changing qualities, nature provides richness to Spaces. This is from the mountains to large trees, rocks, small flowers and plants, as far as possible to avoid artificial nursery plants. The structure of the garden will geometrically order the nature, eliminating the wild sense of nature. The details of nature can be discovered, and the life force released can be unconsciously perceived. The nature of fragments is real, is wild, and does not want to lose vitality and richness because of artificial transplantation. The superposition of wild abundance and modern geometric space makes it alive with elegance and decency.Save this picture!Save this picture!The nature is independent of the high-density urban space, becoming an independent world, shielding the noise of the city. These are integrated into a continuous and integral "pavilion" and "corridor" constitute the carrier of outdoor life of the family, while sheltering from the wind and rain, under the four eaves also create the relationship between light and dark space, the middle highlights the nature, especially bright, and becomes the center of life. From any Angle one can see a picture of hierarchy and order, a real fragment of nature, built into a new context by geometric order. The richness of nature is therefore more easily perceived, and the changes of nature are constantly played out in daily life and can be seen throughout the year.Save this picture! Project gallerySee allShow less Project locationAddress:Beijing, ChinaLocation to be used only as a reference. It could indicate city/country but not exact address.About this officeTAOAOffice••• Published on June 15, 2025Cite: "Gardenful / TAOA" 15 Jun 2025. ArchDaily. Accessed . <https://www.archdaily.com/1028408/gardenful-taoa&gt ISSN 0719-8884Save想阅读文章的中文版本吗?满园 / TAOA 陶磊建筑是否 You've started following your first account!Did you know?You'll now receive updates based on what you follow! Personalize your stream and start following your favorite authors, offices and users.Go to my stream