Took 1st place in Track C and Grand Prize among all 20 competing teams with synthetic data generation technology specialized for MoE quantization Built a dataset using an agent based on Nemotron 3 ...

Abstract: Synthetic Aperture Radar (SAR) systems are being improved continuously with increased swath sizes, better spatial resolution, multi-frequency and multi-channel modes. The increased datarate ...

The Electric Power Research Institute’s electricity-demand estimates are about 60 percent higher than the group anticipated two years ago. Data centers could double their current share of U.S. power ...

Abstract: In this paper, we demonstrate the superiority of Block Adaptive Vector Quantization (BAVQ) over conventional scalar Block Adaptive Quantization (BAQ) for compressing the on-board ...

Thanks to AWQ, TinyChat can deliver more efficient responses with LLM/VLM chatbots through 4-bit inference. TinyChat on RTX 4090 (3.4x faster than FP16): TinyChat on Jetson Orin (3.2x faster than FP16 ...

If you’re going online to buy some last-minute gifts this holiday season, there’s a chance the price you pay will be influenced by what’s known as “surveillance pricing.” Some retailers are using ...

Explore the significance of model quantization in AI, its methods, and impact on computational efficiency, as detailed by NVIDIA's expert insights. As artificial intelligence (AI) models grow in ...

This project presents an advanced image compression system designed to enhance the standard JPEG algorithm by introducing a more perceptually-driven approach. The traditional JPEG standard relies on a ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now As the scale of enterprise AI operations ...