Benzinga - by Anusuya Lahiri, Benzinga Editor.
Nvidia Corp (NASDAQ:NVDA) is enhancing its experimental ChatRTX chatbot by adding more AI models for RTX GPU owners.
The chatbot operates locally on Windows PCs and uses Mistral or Llama 2 models to analyze personal documents.
The update will expand its capabilities to include Alphabet Inc (NASDAQ:GOOG) (NASDAQ:GOOGL) Google’s Gemma, ChatGLM3, and OpenAI’s CLIP model, improving photo search functionality, the Verge reports.
Initially launched in February as “Chat with RTX” and available as a demo app, ChatRTX requires an RTX 30- or 40-series GPU with at least 8GB of VRAM.
It is a local chatbot server accessible via a browser, allowing users to input documents and YouTube videos to generate summaries and answer queries directly from their data.
The chatbot’s interface allows users to choose among different models to best suit their data analysis and search needs.
Furthermore, ChatRTX now supports ChatGLM3, a bilingual large language model, and OpenAI’s CLIP, which enhances interaction with photo content by training the model to recognize images.
Nvidia has also introduced voice query capabilities into ChatRTX by integrating Whisper, an AI speech recognition system that enables voice-based data searches.
Recent reports indicated Tesla Inc (NASDAQ:TSLA) is looking to beat tech giants like Amazon.Com Inc (NASDAQ:AMZN) and Google to become Nvidia’s prime client for H100 chips to train its artificial intelligence (AI) models.
Analysts predict that Nvidia will dominate the approximately $90 billion accelerator market in 2024, which is expected to grow to $200 billion by 2027, mainly due to the support from its Blackwell product.
Nvidia stock gained over 194% in the last 12 months thanks to the AI frenzy. Investors can gain exposure to the stock via VanEck Semiconductor ETF (NASDAQ:SMH) and Global X Robotics & Artificial Intelligence ETF (NASDAQ:BOTZ).
Price Actions: NVDA shares traded higher by 1.46% at $842.51 premarket at the last check Thursday.
Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.
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