Nvidia New Venture Introduction: Fugatto allows creators to make music through text prompts

Many people compare Nvidia's founder Huang Renxun with Apple's founder Steve Jobs. Both business leaders have an unusual passion and obsession for design. Jobs himself did not develop programs, while Huang Renxun is a solid engineer with a technical background and development capabilities. In addition to his technical background and development capabilities, he also has a passion for creation and art. In addition to developing his own products, he also uses Nvidia's products to develop new AI technologies, and fully supports start-up teams in using generated AI to create more products.

NVIDIA recently introduced Fugatto (Foundational Generative Audio Transformer Opus 1) on its official blog, claiming it to be the most versatile AI music composer in the world. By training AI with large-scale language models, it can create music, remixes, or mix and match music, language, and sound through text prompts and audio.

Currently, there are many AI music production products on the market, but Fugatto has more 'creativity'. For example, it can create the ideal vocals for music producers 'out of thin air', change tone, emotion and accent, and even separate lyrics from music.

Platinum music producer Ido Zmishlany said that sound is the source of inspiration and creative drive for musicians. With this innovative idea, you can create completely new sounds in the recording studio. Ido Zmishlany is the music producer of Justin Bieber and Sabrina Carpenter, and also a member of Nvidia's Inception startup program.

"Music history is also a history of technology. The electric guitar brought rock music to the world, and when samplers appeared, hip-hop music was born!" said Ido Zmishlany.

Fugatto uses the H100 Tensor Core GPU from Nvidia for training. Want to learn more? Lao Huang personally explains it to you in the voiceover.

This article introduces Nvidia's new project: Fugatto, which allows creators to make music through text prompts. It first appeared on Chain News ABMedia.