DataBloom

Data centers are being re-architected for efficient delivery of AI workloads. This is a hugely complicated endeavor, and NVIDIA is now delivering AI factories…

Data centers are being re-architected for efficient delivery of AI workloads. This is a hugely complicated endeavor, and NVIDIA is now delivering AI factories based on the NVIDIA rack-scale architecture. To deliver the best performance for the AI factory, many accelerators need to work together at rack-scale with maximal bandwidth and minimal latency to support the largest number of users in the…

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NVIDIA and Foxconn Hon Hai Technology Group today announced they are deepening their longstanding partnership and are working with the Taiwan government to build an AI factory supercomputer that will deliver state-of-the-art NVIDIA Blackwell infrastructure to researchers, startups and industries.

MediaTek, Marvell, Alchip Technologies, Astera Labs, Synopsys and Cadence to Create Custom AI Silicon With NVIDIA NVLink EcosystemFujitsu and Qualcomm Each Plan to Build Custom CPUs Coupled …

Wireless networks are the backbone of modern connectivity, serving billions of 5G users through millions of cell sites globally. The opportunities and benefits…

Wireless networks are the backbone of modern connectivity, serving billions of 5G users through millions of cell sites globally. The opportunities and benefits of AI-RAN are driving the transformation of telecom networks and ecosystems toward AI-native wireless networks. The mission is to create an intelligent network fabric that connects hundreds of billions of AI-powered endpoints such as…

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This edition of NVIDIA Robotics Research and Development Digest (R2D2) explores several contact-rich manipulation workflows for robotic assembly tasks from…

This edition of NVIDIA Robotics Research and Development Digest (R2D2) explores several contact-rich manipulation workflows for robotic assembly tasks from NVIDIA Research and how they can address key challenges with fixed automation, such as robustness, adaptability, and scalability. Contact-rich manipulation refers to robotic tasks that involve continuous or repeated physical contact…

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The exponential growth of generative AI, large language models (LLMs), and high-performance computing has created unprecedented demands on data center…

The exponential growth of generative AI, large language models (LLMs), and high-performance computing has created unprecedented demands on data center infrastructure. Traditional server architectures struggle to accommodate the power density, thermal requirements, and rapid iteration cycles of modern accelerated computing. This post explains the benefits of NVIDIA MGX…

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Imagine analyzing millions of NYC ride-share journeys—tracking patterns across boroughs, comparing service pricing, or identifying profitable pickup…

Imagine analyzing millions of NYC ride-share journeys—tracking patterns across boroughs, comparing service pricing, or identifying profitable pickup locations. The publicly available New York City Taxi and Limousine Commission (TLC) Trip Record Data contains valuable information that could reveal game-changing insights, but traditional processing approaches leave analysts waiting hours for results…

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The world of big data analytics is constantly seeking ways to accelerate processing and reduce infrastructure costs. Apache Spark has become a leading platform…

The world of big data analytics is constantly seeking ways to accelerate processing and reduce infrastructure costs. Apache Spark has become a leading platform for scale-out analytics, handling massive datasets for ETL, machine learning, and deep learning workloads. While traditionally CPU-based, the advent of GPU acceleration offers a compelling promise: significant speedups for data processing…

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AI is creating value for everyone — from researchers in drug discovery to quantitative analysts navigating financial market changes. The faster an AI system can produce tokens, a unit of data used to string together outputs, the greater its impact. That’s why AI factories are key, providing the most efficient path from “time to first
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NVIDIA recently released cuEmbed, a high-performance, header-only CUDA library that accelerates embedding lookups on NVIDIA GPUs. If you’re building…

NVIDIA recently released cuEmbed, a high-performance, header-only CUDA library that accelerates embedding lookups on NVIDIA GPUs. If you’re building recommendation systems, embedding operations are likely consuming significant computational resources. Embedding lookups present a unique optimization challenge. They’re memory-intensive operations with irregular access patterns.

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