Month: August 2025

As quantum processor unit (QPU) builders and algorithm developers work to create large-scale, commercially viable quantum supercomputers, they are increasingly…

As quantum processor unit (QPU) builders and algorithm developers work to create large-scale, commercially viable quantum supercomputers, they are increasingly concentrating on quantum error correction (QEC). It represents the greatest opportunity and the biggest challenge in current quantum computing research. CUDA-Q QEC aims to speed up researchers’ QEC experiments through the rapid…

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Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems. To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The program, in its 25th
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The emergence of several new-frontier, open source models in recent weeks, including OpenAI’s gpt-oss and Moonshot AI’s Kimi K2, signals a wave of rapid LLM…

The emergence of several new-frontier, open source models in recent weeks, including OpenAI’s gpt-oss and Moonshot AI’s Kimi K2, signals a wave of rapid LLM innovation. Dynamo 0.4, available today, delivers new capabilities aimed at deploying such models at scale and with low cost. It focuses on performance, observability, and autoscaling based on service-level objectives (SLO). Key Dynamo 0.

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Black Forest Labs’ FLUX.1 Kontext [dev] image editing model is now available as an NVIDIA NIM microservice. FLUX.1 models allow users to edit existing images with simple language, without the need for fine-tuning or complex workflows. Deploying powerful AI requires curation of model variants, adaptation to manage all input and output data, and quantization to
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Using NVIDIA digital twin technologies, Amazon Devices & Services is powering big leaps in manufacturing with a new physical AI software solution. Deployed this month at an Amazon Devices facility, the company’s innovative, simulation-first approach for zero-touch manufacturing trains robotic arms to inspect diverse devices for product-quality auditing and integrate new goods into the production
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NVIDIA today announced that the NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU is coming to the world’s most popular enterprise servers, speeding the shift from traditional CPU systems to accelerated computing platforms.

Packing the power of the NVIDIA Blackwell architecture in compact, energy-efficient form factors, the NVIDIA RTX PRO 4000 Blackwell SFF Edition and NVIDIA RTX PRO 2000 Blackwell GPUs are coming soon — delivering AI acceleration for professional workflows across industries. Applications are becoming increasingly AI accelerated, and more users need AI performance, no matter the
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AI agents are poised to deliver as much as $450 billion from revenue gains and cost savings by 2028, according to Capgemini. Developers building these agents are turning to higher-performing reasoning models to improve AI agent platforms and physical AI systems. At SIGGRAPH, NVIDIA today announced an expansion of two model families with reasoning capabilities
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