nvidia

Discover how Google Cloud is revolutionizing AI application deployment with the integration of Nvidia L4 GPUs into Google Cloud Run. By utilizing serverless computing, organizations can now run GPU inference only when needed, resulting in improved efficiency and cost-effectiveness for AI workloads. Explore the benefits of Google Cloud Run, including simplified container deployment and management, and the ability to handle real-time processing tasks. Addressing concerns about performance, Google Cloud shares impressive metrics for GPU-enabled Cloud Run instances, showcasing its responsiveness. With the aim of being model agnostic, Google Cloud allows users to run any models they want, while offering cost savings through better hardware utilization. Compare the total cost of operations on various platforms using Google Cloud's updated pricing calculator. Discover how the integration of

Automating Tollbooths in India with Nvidia's Accelerated Computing: Calsoft, in collaboration with Nvidia, has developed an automated tollbooth system integrated with India's UPI to streamline toll collection processes. Overcoming challenges such as non-standardized license plates, Calsoft's solution achieves 95% accuracy in automatic number plate recognition. Nvidia's Metropolis framework and Triton and DeepStream software enable efficient data processing and analysis, while Jetson edge AI modules and A100 Tensor Core GPUs ensure scalability and sustained performance. This pilot program demonstrates the potential impact of automated toll systems in reducing traffic congestion and improving road efficiency in India.

Discover how Nvidia's research team developed the Llama-3.1-Minitron 4B, a compressed version of the Llama 3 model, using pruning and distillation techniques. Learn how pruning removes less important components of a model, while distillation transfers knowledge from a large model to a smaller one. Find out how the team fine-tuned and evaluated the performance of the pruned models, and how Llama-3.1-Minitron 4B compares to other language models. Explore the cost-effectiveness of pruning and classical knowledge distillation, and the significance of open-source contributions in advancing AI research.

Looking to leverage AI capabilities? Oracle is expanding its partnership with Nvidia, offering new GPU options and AI infrastructure services on its cloud platform. With the introduction of Nvidia L40S GPUs and virtual machine options for Nvidia H100 Tensor Core GPUs, businesses of all sizes can now access powerful AI computing power. This strategic move by Oracle aims to compete in the AI cloud market dominated by Amazon Web Services, Microsoft Azure, and Google Cloud, providing customers with more choices in deploying their AI workloads. Discover how Oracle Cloud Infrastructure can be your go-to option for flexible and scalable AI infrastructure.

Accelerate humanoid robot development with Nvidia's new services and developer program. Access advanced tools, models, and computing platforms to streamline workflows and generate synthetic data for training models. Join the Nvidia Humanoid Robot Developer Program and gain early access to cutting-edge technologies. The future of AI and robotics is promising with Nvidia's support.

Learn about Nvidia's advancements in Universal Scene Description (USD) and OpenUSD framework, which will bring the universal 3D data interchange framework to industries like robotics, industrial design, and engineering. With the goal of creating highly accurate virtual worlds for the next wave of AI, Nvidia's generative AI models will understand OpenUSD-based language, geometry, materials, physics, and spaces. The new offerings include microservices for AI models, which will help accelerate the development of digital twins and virtual factories. Industry leaders like Foxconn and WPP are already utilizing Nvidia's technology to drive innovation. Nvidia is expanding the OpenUSD ecosystem by introducing new USD connectors for robotics data formats and collaborating with Siemens for real-time visualization of complex simulation data. Developers can also

Discover how generative AI technology is transforming the creative content industry. Shutterstock and Getty Images are harnessing Nvidia's Edify AI to offer enhanced services. Learn about Shutterstock's generative 3D service and its collaboration with WPP, as well as the transformative capabilities of Getty Images' upgraded generative AI service. With faster image generation, improved quality, and customization options, the integration of generative AI is revolutionizing the creative process for designers and artists. Read more to explore the promising future of generative AI in the creative content industry.

Unlock the full potential of generative AI with the new inference-as-a-service powered by Nvidia NIM microservices. This partnership between Hugging Face and Nvidia offers developers easy access to optimized compute resources and the most popular AI models. With serverless inference and optimized performance, developers can prototype, test, and deploy models with ease. Discover how Nvidia DGX Cloud and Hugging Face's platform streamline AI development and bring production-ready applications to market faster. Get ready to accelerate your AI development journey with this powerful collaboration.

Discover how Small Language Models (SLMs) from Hugging Face, Nvidia and Mistral AI, and OpenAI are revolutionizing AI accessibility and efficiency. These compact language models, such as SmolLM, Mistral-Nemo, and GPT-4o Mini, bring powerful language processing capabilities to a wider range of devices and applications. From running directly on mobile devices to targeting desktop computers, these models democratize access to advanced AI capabilities. With reduced financial barriers and a focus on efficiency, SLMs have the potential to accelerate technological innovation and disruption across various industries. However, ethical considerations and finding the right balance between model size and performance remain crucial. Explore the future of AI and how it can bring smart, efficient solutions to businesses and

Discover how small language models (SLMs) from Hugging Face, Nvidia, Mistral AI, and OpenAI are democratizing access to AI. These models, such as Hugging Face's SmolLM, Nvidia and Mistral AI's Mistral-Nemo, and OpenAI's GPT-4o Mini, bring powerful language processing capabilities to mobile devices, consumer-grade hardware, and offer cost-efficient integration, respectively. This shift reflects a maturing AI field focused on efficiency and specialized applications. Additionally, SLMs address environmental concerns by reducing energy consumption. However, ethical considerations and limitations in raw capabilities must be carefully managed. The future of AI integration lies in smart, efficient solutions that cater to specific application requirements.