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Creating RAG-Based Question-and-Answer LLM Workflows at NVIDIA

GIF shows chat app in use.The rapid development of solutions using retrieval augmented generation (RAG) for question-and-answer LLM workflows has led to new types of system…GIF shows chat app in use.

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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Expert Support case study: Bolstering a RAG app with LLM-as-a-Judge

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NVIDIA Ethernet Networking Accelerates World’s Largest AI Supercomputer, Built by xAI

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.

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Bring Receipts: New NVIDIA AI Workflow Detects Fraudulent Credit Card Transactions

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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Fintech Leaders Tap Generative AI for Safer, Faster, More Accurate Financial Services

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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Advancing Performance with NVIDIA SHARP In-Network Computing

Picture of servers in a data center.AI and scientific computing applications are great examples of distributed computing problems. The problems are too large and the computations too intensive to…Picture of servers in a data center.

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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NVIDIA Showcases the Future of Intelligent Robots at CoRL 2024

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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Hugging Face Teams Up with Protect AI: Enhancing Model Security for the Community

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Powering the Next Wave of AI Robotics with Three Computers 

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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“India Should Manufacture Its Own AI,” Declares NVIDIA CEO

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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