Building and deploying AI applications at scale requires a new class of computing infrastructure — one that can handle the massive amounts of data, compute power and networking bandwidth needed by generative AI models. To better ensure these models perform optimally and efficiently, NVIDIA is teaming with Cisco to enable enterprise generative AI infrastructure. Cisco’s
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The model demonstrates strong performance for tasks such as Q&A, multi-round chat, and summarization in both traditional Chinese and English.
The model demonstrates strong performance for tasks such as Q&A, multi-round chat, and summarization in both traditional Chinese and English.
Experience the versatile embedding model designed for multilingual, multi-functional, and multi-granularity text retrieval tasks, excelling in dense,…
Experience the versatile embedding model designed for multilingual, multi-functional, and multi-granularity text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval for inputs from short sentences to long documents.
As generative AI experiences rapid growth, the community has stepped up to foster this expansion in two significant ways: swiftly publishing state-of-the-art…
As generative AI experiences rapid growth, the community has stepped up to foster this expansion in two significant ways: swiftly publishing state-of-the-art foundational models, and streamlining their integration into application development and production. NVIDIA is aiding this effort by optimizing foundation models to enhance performance, allowing enterprises to generate tokens faster…
European neobank bunq is debunking financial fraudsters with the help of NVIDIA accelerated computing and AI. Dubbed “the bank of the free,” bunq offers online banking anytime, anywhere. Through the bunq app, users can handle all their financial needs exclusively online, without needing to visit a physical bank. With more than 12 million customers and
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“Generative AI is reshaping industries and opening new opportunities for innovation and growth,” NVIDIA founder and CEO Jensen Huang said in an address ahead of this week’s COMPUTEX technology conference in Taipei. “Today, we’re at the cusp of a major shift in computing,” Huang told the audience, clad in his trademark black leather jacket. “The
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Fueled by generative AI, enterprises globally are creating “AI factories,” where data comes in and intelligence comes out. Critical to this movement are validated systems and reference architectures that reduce the risk and time involved in deploying specialized infrastructure that can support complex, computationally intensive generative AI workloads. At the COMPUTEX trade show, NVIDIA today
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NVIDIA today announced that major Taiwanese electronics makers are using the company’s technology to transform their factories into more autonomous facilities with a new reference workflow. The workflow combines NVIDIA Metropolis vision AI, NVIDIA Omniverse™ physically based rendering and simulation, and NVIDIA Isaac™ AI robot development and deployment.
NVIDIA today announced that the world’s leaders in robot development are adopting the NVIDIA Isaac™ robotics platform for the research, development and production of the next generation of AI-enabled autonomous machines and robots.
To address the increasing need for real-time AI computing at the industrial edge, NVIDIA today announced the general software availability of NVIDIA AI Enterprise-IGX with NVIDIA Holoscan on the NVIDIA IGX™ platform. Together, they empower solution providers within the medical, industrial and scientific computing sectors to develop and deploy edge AI solutions faster, with enterprise-grade software and support.