Nvidia says these were some of its biggest AI advancements of 2024

NVIDIA outlined major developments in AI technology throughout 2024, focusing on local AI processing capabilities and new applications powered by RTX graphics cards.

Key technology advancements: NVIDIA’s GeForce RTX GPUs and specialized AI Tensor Cores now deliver over 1,300 trillion operations per second for consumer PCs and 1,400 TOPS for workstations, enabling advanced AI processing capabilities.

• RTX graphics cards power more than 600 Windows applications and games across 100 million devices
• Local AI processing provides faster performance and enhanced privacy compared to cloud-based solutions
• Specialized AI Tensor Cores enable cutting-edge performance in gaming, content creation, and productivity tasks

Major software developments: ChatRTX emerged as a significant advancement in personalized AI interactions, allowing users to customize large language models with their own content.

• The application features retrieval-augmented generation (RAG) and RTX acceleration for efficient data processing
• Users can incorporate personal documents, notes, and images into their AI interactions
• NVIDIA supports multiple foundation models including Gemma 2, Mistral, and Llama-3 for local deployment

Browser integration: Brave Browser’s Leo AI represents a significant step in bringing AI capabilities directly to web browsing experiences.

• Leo AI leverages RTX GPUs and the Ollama platform to run local language models
• Users can switch between local and cloud models for enhanced flexibility
• The integration enables tasks like article summarization and information extraction within the browser

Agentic AI emergence: A new frontier in artificial intelligence focuses on autonomous problem-solving and complex reasoning capabilities.

• AnythingLLM demonstrates advanced AI applications beyond simple question-answering
• The platform enables deployment of built-in agents for web searching and scheduling
• Users can create specialized AI agent skills for custom workflows while maintaining data privacy

Looking forward: The evolving landscape of AI technology points to increasingly sophisticated local processing capabilities and expanded applications.

• NVIDIA plans to reveal new AI developments at the upcoming CES keynote
• The integration of AI into gaming, videoconferencing, and interactive experiences continues to expand
• Local processing on RTX hardware provides a foundation for future AI innovation while maintaining user privacy and performance