DataBloom

The rapid development of solutions using retrieval augmented generation (RAG) for question-and-answer LLM workflows has led to new types of system…

The rapid development of solutions using retrieval augmented generation (RAG) for question-and-answer LLM workflows has led to new types of system architectures. Our work at NVIDIA using AI for internal operations has led to several important findings for finding alignment between system capabilities and user expectations. We found that regardless of the intended scope or use case…

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NVIDIA today announced that xAI’s Colossus supercomputer cluster comprising 100,000 NVIDIA Hopper Tensor Core GPUs in Memphis, Tennessee, achieved this massive scale by using the NVIDIA Spectrum-X™ Ethernet networking platform, which is designed to deliver superior performance to multi-tenant, hyperscale AI factories using standards-based Ethernet, for its Remote Direct Memory Access (RDMA) network.

Financial losses from worldwide credit card transaction fraud are expected to reach $43 billion by 2026. A new NVIDIA AI workflow for fraud detection running on Amazon Web Services (AWS) can help combat this burgeoning epidemic — using accelerated data processing and advanced algorithms to improve AI’s ability to detect and prevent credit card transaction
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An overwhelming 91% of financial services industry (FSI) companies are either assessing artificial intelligence or already have it in the bag as a tool that’s driving innovation, improving operational efficiency and enhancing customer experiences. Generative AI — powered by NVIDIA NIM microservices and accelerated computing — can help organizations improve portfolio optimization, fraud detection, customer
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AI and scientific computing applications are great examples of distributed computing problems. The problems are too large and the computations too intensive to…

AI and scientific computing applications are great examples of distributed computing problems. The problems are too large and the computations too intensive to run on a single machine. These computations are broken down into parallel tasks that are distributed across thousands of compute engines, such as CPUs and GPUs. To achieve scalable performance, the system relies on dividing workloads…

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From humanoids to policy, explore the work NVIDIA is bringing to the robotics community.

From humanoids to policy, explore the work NVIDIA is bringing to the robotics community.

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NVIDIA has built three computers and accelerated development platforms to enable developers to create physical AI.

NVIDIA has built three computers and accelerated development platforms to enable developers to create physical AI.

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Artificial intelligence will be the driving force behind India’s digital transformation, fueling innovation, economic growth, and global leadership, NVIDIA CEO Jensen Huang said Wednesday at NVIDIA’s AI Summit in Mumbai. Addressing a crowd of entrepreneurs, developers, academics and business leaders, Huang positioned AI as the cornerstone of the country’s future. India has an “amazing natural
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