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Time of India
2 days ago
- Entertainment
- Time of India
If Nvidia CEO Jensen Huang ran a food truck: What would he serve other than chips?
Imagine this: Jensen Huang, the leather-jacket-wearing CEO of Nvidia and the man who basically turbocharged the AI boom, decides to take a little detour from chips and GPUs… and opens a food truck. Tired of too many ads? go ad free now But not your average street-side taco van—oh no. This would be a full-blown geeky gourmet experience, where tech meets taste in the quirkiest way possible. So, what would Jensen serve? Let's take a hungry stroll through his (totally imaginary but totally awesome) menu. The Byte Burger This burger doesn't just hit your taste buds—it anticipates your hunger before the first bite. Lab-grown meat makes it eco-friendly, and the bun? It changes color based on your mood, thanks to tiny sensors. Want fries with that? Go for the 'Quantum Chips'—crispy little things that somehow know what your next craving will be. GPU Skewers (Grilled Protein Units) Think skewers, but smarter. Each one's been marinated in an AI-crafted spice mix that hits the sweet spot between flavor and fire. Grilled using heat maps that monitor the skewer in real time (because of course they do), these come with 'Cache Sauce' in reusable containers—bring it back next time for a discount. Save the planet, get saucy. Neural Network Nachos Nachos that learn your taste. Seriously. Start eating, and the dish adapts to what you like—more cheese, less spice, maybe a meat swap. Every layer of cheese, beans, and toppings evolves. Topped with 'Deep Learning Salsa,' which gets better (and spicier) over time. Moore's Law Milkshakes Named after the tech law that basically explains why your phone gets better every year, these shakes double in thickness every two years. Tired of too many ads? go ad free now You've got classics like Vanilla 2.0, Chocolate 4.0, and yes, Strawberry Quantum. Each comes with a smart straw that adjusts based on how thick the shake is. Because sucking on a blocked straw is so last decade. The Silicon Sundae Tech nerds meet sweet tooths right here. This sundae features layers of plant-based ice cream, crunchy 'Silicon Chips,' and a scoop of 'Cloud Cream' that literally melts like a dream. Think futuristic dessert meets retro joy. Biryani 4090 A loving shoutout to Jensen's favorite dish, but of course, it's cooked using an RTX 4090-powered rice cooker. Yep, that's a thing—at least in this world. Every grain speaks of perfection. Served warm in a thermally balanced container and comes with 'Latency Raita'—a side dip that cools your palate just right, without delay. Egg Coffee 2.0 If you know, you know—Jensen's been a longtime fan of Hanoi-style egg coffee. This version? AI-enhanced. It figures out how sweet you like your cup and tweaks it accordingly. Served in a mug that changes its design depending on the time of day. Morning? Mountains. Evening? Glitch art. Quantum Quesadilla This one's basically Schrödinger's lunch—it exists in multiple states until you bite it. The filling? Determined by a quantum algorithm. So you never get the same combo twice, but it's always ridiculously good. Dip it in some 'Entanglement Salsa' for a taste explosion. Denny's Diner Delight A nostalgic throwback to Jensen's early days hustling in America. Classic diner breakfast—but smarter. Pancakes that self-adjust their fluffiness based on your altitude (ever had a Denver pancake? Now you will). Eggs cooked with algorithmic precision, plus 'Legacy Syrup' that hits with old-school sweetness. The Startup Special Just like a real startup, this dish pivots daily. One day it's a sushi burrito, the next it's a spaghetti taco. You never know what you're gonna get, but you'll always get a crunchy side of 'Pivot Pickles.' It's chaotic. It's delicious. It's disruptive. If Jensen Huang ever actually launched a food truck, it wouldn't just feed your belly—it would fry your brain (in a good way). Smart food, adaptive menus, flavor calibrated by data… it'd be part tech experiment, part art installation, and part comfort food heaven. So next time you're wandering a street fair and spot a sleek black truck with green neon accents and a leather-clad man at the window, don't be surprised. Order the Byte Burger, sip a Quantum Shake, and know you've just been fed by one of the smartest chefs in Silicon Valley—GPU-style.
National Post
4 days ago
- Business
- National Post
VeriSilicon's Ultra-Low Energy NPU Provides Over 40 TOPS for On-Device LLM Inference in Mobile Applications
Article content Article content SHANGHAI — VeriSilicon ( today announced that its ultra-low energy and high-performance Neural Network Processing Unit (NPU) IP now supports on-device inference of large language models (LLMs) with AI computing performance scaling beyond 40 TOPS. This energy-efficient NPU architecture is specifically designed to meet the increasing demand for generative AI capabilities on mobile platforms. It not only delivers powerful computing performance for AI PCs and other end devices, but is also optimized to meet the increasingly stringent energy efficiency challenges of AI phones and other mobile platforms. Article content Built on a highly configurable and scalable architecture, VeriSilicon's ultra-low energy NPU IP supports mixed-precision computation, advanced sparsity optimization, and parallel processing. Its design incorporates efficient memory management and sparsity-aware acceleration, which reduce computational overhead and latency, ensuring smooth and responsive AI processing. It supports hundreds of AI algorithms including AI-NR and AI-SR, and leading AI models such as Stable Diffusion and LLaMA-7B. Moreover, it can be seamlessly integrated with VeriSilicon's other processing IPs to enable heterogeneous computing, empowering SoC designers to develop comprehensive AI solutions that meet diverse application needs. Article content VeriSilicon's ultra-low energy NPU IP also supports popular AI frameworks such as TensorFlow Lite, ONNX, and PyTorch, thereby accelerating deployment and simplifying integration for customers across various AI use cases. Article content 'Mobile devices, such as smartphones, are evolving into personal AI servers. With the rapid advancement of AIGC and multi-modal LLM technologies, the demand for AI computing is growing exponentially and becoming a key differentiator in mobile products,' said Weijin Dai, Chief Strategy Officer, Executive Vice President, and General Manager of the IP Division at VeriSilicon. 'One of the most critical challenges in supporting such high AI computing workloads is energy consumption control. VeriSilicon has been continuously investing in ultra-low energy NPU development for AI phones and AI PCs. Through close collaboration with leading SoC partners, we are excited to see that our technology has been realized in silicon for next-generation AI phones and AI PCs.' Article content Article content
