Gerardo Delgado

1 week ago | blogs.nvidia.com | Gerardo Delgado

Project G-Assist — available through the NVIDIA App — is an experimental AI assistant that helps tune, control and optimize NVIDIA GeForce RTX systems. NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites the community to explore AI and build custom G-Assist plug-ins for a chance to win prizes and be featured on NVIDIA social media channels.

2 weeks ago | blogs.nvidia.com | Gerardo Delgado

Generative AI has reshaped how people create, imagine and interact with digital content. As AI models continue to grow in capability and complexity, they require more VRAM, or video random access memory. The base Stable Diffusion 3.5 Large model, for example, uses over 18GB of VRAM — limiting the number of systems that can run it well. By applying quantization to the model, noncritical layers can be removed or run with lower precision.

3 weeks ago | blogs.nvidia.com | Gerardo Delgado

4:2:2 cameras — capable of capturing double the color information compared with most standard cameras — are becoming widely available for consumers. At the same time, generative AI video models are rapidly increasing in functionality and quality, making new tools and workflows possible.

1 month ago | blogs.nvidia.com | Gerardo Delgado

Electronic music icon Don Diablo is known for pushing the boundaries of music, visual arts and live performance — and the music video for his latest single, “BLACKOUT,” explores using generative AI, combining NVIDIA RTX-powered and cloud-based tools in a hybrid workflow. Set inside an industrial warehouse, the video features Diablo performing in front of an immersive, AI-generated environment — blending stylized effects, a cinematic mood and personalized elements.

1 month ago | blogs.nvidia.com | Gerardo Delgado

AI-powered image generation has progressed at a remarkable pace — from early examples of models creating images of humans with too many fingers to now producing strikingly photorealistic visuals. Even with such leaps, one challenge remains: achieving creative control. Creating scenes using text has gotten easier, no longer requiring complex descriptions — and models have improved alignment to prompts.