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Spotlight: TCS Increases Automotive Software Testing Speeds by 2x Using NVIDIA Generative AI

Generative AI is transforming every aspect of the automotive industry, including software development, testing, user experience, personalization, and safety….

Generative AI is transforming every aspect of the automotive industry, including software development, testing, user experience, personalization, and safety. With the automotive industry shifting from a mechanically driven approach to a software-driven one, generative AI is unlocking a world of possibilities. Tata Consultancy Services (TCS) focuses on two major segments for leveraging…

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Hymba Hybrid-Head Architecture Boosts Small Language Model Performance

Transformers, with their attention-based architecture, have become the dominant choice for language models (LMs) due to their strong performance,…

Transformers, with their attention-based architecture, have become the dominant choice for language models (LMs) due to their strong performance, parallelization capabilities, and long-term recall through key-value (KV) caches. However, their quadratic computational cost and high memory demands pose efficiency challenges. In contrast, state space models (SSMs) like Mamba and Mamba-2 offer constant…

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NVIDIA TensorRT-LLM Multiblock Attention Boosts Throughput by More Than 3x for Long Sequence Lengths on NVIDIA HGX H200

Image of an HGX H200Generative AI models are advancing rapidly. Every generation of models comes with a larger number of parameters and longer context windows. The Llama 2 series…Image of an HGX H200

Generative AI models are advancing rapidly. Every generation of models comes with a larger number of parameters and longer context windows. The Llama 2 series of models introduced in July 2023 had a context length of 4K tokens, and the Llama 3.1 models, introduced only a year later, dramatically expanded that to 128K tokens. While long context lengths allow models to perform cognitive tasks…

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NVIDIA Announces Upcoming Events for Financial Community

SANTA CLARA, Calif., Nov. 21, 2024 — NVIDIA will present at the following events for the financial community:

UBS Global Technology and AI Conference
Tuesday, Dec. 3, 6:35 a.m. Pacific…

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NVIDIA JetPack 6.1 Boosts Performance and Security through Camera Stack Optimizations and Introduction of Firmware TPM

Connected icons show the workflow.NVIDIA JetPack has continuously evolved to offer cutting-edge software tailored to the growing needs of edge AI and robotic developers. With each release,…Connected icons show the workflow.

NVIDIA JetPack has continuously evolved to offer cutting-edge software tailored to the growing needs of edge AI and robotic developers. With each release, JetPack has enhanced its performance, introduced new features, and optimized existing tools to deliver increased value to its users. This means that your existing Jetson Orin-based products experience performance optimizations by upgrading to…

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Deploying Fine-Tuned AI Models with NVIDIA NIM

For organizations adapting AI foundation models with domain-specific data, the ability to rapidly create and deploy fine-tuned models is key to efficiently…

For organizations adapting AI foundation models with domain-specific data, the ability to rapidly create and deploy fine-tuned models is key to efficiently delivering value with enterprise generative AI applications. NVIDIA NIM offers prebuilt, performance-optimized inference microservices for the latest AI foundation models, including seamless deployment of models customized using parameter…

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Build Your First Human-in-the-Loop AI Agent with NVIDIA NIM

AI agents powered by large language models (LLMs) help organizations streamline and reduce manual workloads. These agents use multilevel, iterative reasoning to…

AI agents powered by large language models (LLMs) help organizations streamline and reduce manual workloads. These agents use multilevel, iterative reasoning to analyze problems, devise solutions, and execute tasks with various tools. Unlike traditional chatbots, LLM-powered agents automate complex tasks by effectively understanding and processing information. To avoid potential risks in specific…

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Best Practices for Multi-GPU Data Analysis Using RAPIDS with Dask

As we move towards a more dense computing infrastructure, with more compute, more GPUs, accelerated networking, and so forth—multi-gpu training and analysis…

As we move towards a more dense computing infrastructure, with more compute, more GPUs, accelerated networking, and so forth—multi-gpu training and analysis grows in popularity. We need tools and also best practices as developers and practitioners move from CPU to GPU clusters. RAPIDS is a suite of open-source GPU-accelerated data science and AI libraries. These libraries can easily scale-out for…

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Powering AI-Augmented Workloads with NVIDIA and Windows 365

A person looking at a computer monitor.We are entering a new era of AI-powered digital workflow, where Windows 365 Cloud PCs are dynamic platforms that host AI technologies and reshape traditional…A person looking at a computer monitor.

We are entering a new era of AI-powered digital workflow, where Windows 365 Cloud PCs are dynamic platforms that host AI technologies and reshape traditional processes. GPU acceleration unlocks the potential for AI-augmented workloads running on Windows 365 Cloud PCs, enabling advanced computing capabilities for everyone. The integration of NVIDIA GPUs with NVIDIA RTX Virtual Workstation…

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