With the Grace Blackwell architecture, enterprises and researchers get a seamless AI playground: prototype, fine-tune, and test models on local Project DIGITS systems powered by Linux-based NVIDIA DGX OS, then scale effortlessly to NVIDIA DGX Cloud, high-performance cloud instances, or full-throttle data center infrastructure.

This means developers can build AI models on Project DIGITS and deploy them anywhere, cloud or on-prem—without skipping a beat. The magic? A unified Grace Blackwell foundation paired with the NVIDIA AI Enterprise software platform, ensuring consistency from prototype to production.

Project DIGITS users tap into an expansive NVIDIA AI software library, SDKs, orchestration tools, frameworks, and models straight from the NVIDIA NGC catalog and Developer portal. Fine-tuning gets supercharged with NVIDIA NeMo, data science workflows accelerate with NVIDIA RAPIDS™, and developers can seamlessly run AI stacks built on PyTorch, Python, and Jupyter notebooks.

For those diving into agentic AI, NVIDIA Blueprints and NVIDIA NIM microservices provide the building blocks for research, development, and real-world testing through the NVIDIA Developer Program. And when it’s time to take AI applications from the lab to the enterprise, NVIDIA AI Enterprise delivers security, support, and production-ready software, ensuring innovation doesn’t just stay an experiment it scales.