Generative AI is transforming Windows apps and games by delivering new possibilities that include real-time dynamics, reactive NPC, ontological art creation, and the increased frame rate in games. With a variety of applications and growing advances in generative AI, computing resources are needed to support these types of workloads. Therefore there is Hybrid AI which is a combination of onboard AI acceleration from NVIDIA RTX and cloud-based GPUs to address these requisites appropriately.
Hybrid AI with NVIDIA
Hybrid AI guarantees that AI tasks are executed as locally and as cloud-based as possible while boosting them with NVIDIA GPUs and AI stacks such as TensorRT and TensorRT-LLM. This leads to less time spent waiting and better AI-based functions added to the application for users.
Local AI on RTX GPUs
- Provides high performance and low latency.
- Always available, even offline.
Cloud-based AI
- Executes larger models and scales across multiple GPUs.
- Serves multiple clients simultaneously.
Hybrid AI tools and technologies
1. Hybrid AI for creators – Generative AI by iStock, powered by NVIDIA Edify
Generative AI helps artists to create, design, and conceptualize new works of art.
- Offers a generative photography service that is made for artists and with artists.
- Provides numerous features to analyze styles, and changes, edit certain sections of an image, or increase its size.
- Enables artists to think through several ideas and implement them as quickly as possible.
- When the creative concept is prepared, artists can leverage RTX-enabled PCs and workstations for AI optimization over 125 creative applications such as Adobe Photoshop, DaVinci Resolve, and Blender.
2. Hybrid AI for Gaming: Hybrid ACE Revolutionises NPC Interaction
By incorporating generative AI models into digital avatars on RTX AI PCs through NVIDIA ACE, Hybrid AI allows for interactive PC gaming.
Hybrid AI for Developers
Hybrid AI helps developers on how to create and fine-tune new AI models.
Features of NVIDIA AI Workbench
- Train new generative AI models and LLMs as well as fine-tune pre-built generative models on RTX GPUs.
- Explore repositories such as Hugging Face, GitHub, and NVIDIA NGC.
- Modify, share, and transfer projects seamlessly.
- Scale up projects when more performance is required and then return to the local RTX systems for inferencing and minimal tuning.
Features of Hybrid RAG Workbench
- Create customizable RAG applications.
- Store documents locally and perform inference on local RTX systems or cloud-based services.
- Modify projects to employ diverse models, endpoints, and containers.
- To run on their preferred GPU, quantize models.
Hybrid AI leveraging NVIDIA GPUs allows for a combination of local and cloud resources to ensure creators, gamers, and developers have the optimal AI environment. This allows for the fulfillment of advanced AI-based capabilities, fostering innovation and efficiency in a multitude of contexts. Whether it be in the creation of new models for AI technology, art, or improving gaming, the hybrid models offer the perfect blend for AI lovers and developers.