Say hi to David Chu! Ask them when DLSS 5 in headset?
COMPUTING
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Q1 Game Running on Web, Multiplayer Challenges on DOS
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Oh sure yes I have Q1 running on http://
pieter.com you can try But impossible to get multiplayer to work on DOS -
Hardware accessibility for mainstream AI users without expensive equipment
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If you have hardware like this that’s a very different conversation; my message is directed to the 95% case that can’t spend 5k or 100k on hardware.
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AI-Powered Naval Mine Detection Advances Military Undersea Operations
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In modern warfare, control of the undersea domain can decide outcomes.
Naval mines can disrupt global movement and military operations. Detecting and clearing them faster is strategic advantage for national security. Learn more about Project AMMO -

ClickHouse string handling techniques and best practices
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How ClickHouse handles strings https://
buff.ly/2xEqVfe
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Image Processing Speed: Four Second AI Performance Benchmark
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its slow? it should be 4 seconds for a image?
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Native 2K Support Delivers 5x Performance Improvement
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5x faster with native 2K is incredible. Super excited to test its limits 😀
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Live Collaboration Challenges in Large AI Codebases
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live collaboration is just insanely hard and has a ton of corner cases, and the codebase is now huge so the loops are pretty long on the AI someone who knows where to poke from previous experience will move a lot faster
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Software Engineering Beyond Coding: The Inevitable Future
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software engineering is inevitable but coding it not
→ View original post on X — @avikumart_, 2026-03-17 23:59 UTC
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NVIDIA GTC 2026: Breakthrough AI Chips and Vera Rubin Architecture
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NVIDIA's GTC 2026 conference has been phenomenal in terms of latest computer chips and AI stack announcements. Here are the key updates you need to know: 1. The $1 Trillion Demand Projection: NVIDIA CEO Jensen Huang raised demand projections for Blackwell and Vera Rubin systems to $1 trillion through 2027, driven by the explosive growth of AI inference. 2. Vera Rubin Architecture: The new platform features seven breakthrough chips, including the Vera CPU and Rubin GPU with HBM4 memory. It is designed as a vertically integrated "AI Factory" to handle agentic AI reasoning. 3. Groq3 LPX Inference Acceleration: Following a $20 billion deal, NVIDIA integrated Groq’s SRAM-based technology to create the Groq3 LPX rack. This system delivers up to 35x faster token generation for trillion-parameter models. 4. NemoClaw & OpenClaw: NVIDIA partnered with the viral open-source project OpenClaw to launch NemoClaw, a software stack described as the "operating system for personal AI". 5. Physical AI & Robotics: A highlight of the show was a robotic version of Olaf from Disney's Frozen, powered by NVIDIA’s Newton Physics Engine. NVIDIA also unveiled Alpamayo, an open-source "chain-of-thought" reasoning model for Level 4 autonomous driving. 6. Space Computing: NVIDIA announced Vera Rubin Space-1, a dedicated platform designed to bring AI data centres into orbit. 7. The "Feynman" Roadmap: A first look at the 2028 architecture, named Feynman, which will feature the Rosa CPU and next-generation liquid processing units (LPUs). 8. Gaming & DLSS 5: NVIDIA teased DLSS 5, which uses neural rendering to create photorealistic, real-time graphics that "look like a film". 9. Sovereign AI Factories: Broad partnerships with nations and enterprises (like IBM and Nestlé) were showcased to build regional "AI Factories" that keep data and intelligence within sovereign boundaries.
→ View original post on X — @avikumart_, 2026-03-17 22:40 UTC