The Enterprise Foundry for Custom Generative AI Visual Content and 3D Asset Creation.
NVIDIA Picasso is an enterprise-grade cloud-based foundry designed for building and deploying generative AI-powered visual applications across image, video, and 3D modalities. Built on the NVIDIA AI Foundations platform, Picasso allows enterprises to train and fine-tune proprietary foundation models on licensed or private datasets, ensuring full copyright compliance and data sovereignty—a critical requirement for the 2026 corporate landscape. Technically, it utilizes the NVIDIA Edify architecture to deliver state-of-the-art results in text-to-image and text-to-3D generation. The platform is integrated with NVIDIA DGX Cloud, providing massive compute scalability for training high-fidelity models. By 2026, Picasso has become the backbone for industry giants like Adobe, Getty Images, and Shutterstock, enabling them to offer commercial-grade generative tools. It provides optimized inference through NVIDIA NIM (NVIDIA Inference Microservices), ensuring that generated assets are production-ready with low latency. The service is positioned as the bridge between raw compute and creative application development, offering a managed environment for latent diffusion models, 3D mesh generation, and temporal video synthesis.
Generates high-quality 3D meshes from text prompts or 2D images with quad-based topology.
The enterprise backbone for building and scaling generative AI applications with foundation models.
The premier architectural platform for Stable Diffusion model hosting, cloud-based inference, and LoRA training.
Real-time, near-instantaneous high-fidelity image generation via optimized distillation.
Enterprise-grade programmatic fine-tuning and image generation API for custom AI models.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Foundry tools allow training strictly on licensed datasets with provenance tracking.
Architecture supporting cross-modal generation between images, videos, and 3D objects.
Microservices that wrap models in optimized containers for low-latency inference on RTX/A100/H100 GPUs.
Advanced frame-to-frame attention mechanisms for stable video generation up to 4K.
Generates PBR (Physically Based Rendering) materials including roughness, normal, and metallic maps.
Automated compression of foundation models for edge-device deployment.
Traditional 3D modeling for background assets is time-consuming and expensive.
Registry Updated:2/7/2026
Import directly into Omniverse or Unreal Engine
Stock agencies need to provide AI tools that do not infringe on artist rights.
High cost of physical product photography for multiple variants.