Juice
Squeeze all the Juice out of your GPUs and make them Network Attached.
Introducing Juice, an AI tool that transforms GPUs into fully network-attached devices, enabling seamless scaling and bare-metal performance for both graphical and ML tasks over standard networking. Juice makes GPUs shareable across multiple clients and tasks with no setup time or commitment to the underlying machine or stack.
What Juice looks like
Key Features Connect to a GPU as if it was plugged into your PCIe slot directly Scale up and down your development with ease Bare-metal performance on graphical and ML tasks Standard networking compatibility Natural load-balancing telemetry for GPU sharing
Main Use Case . Game Development: A game developer can use Juice to access powerful GPUs remotely, allowing them to create stunning graphics and optimize their game performance without investing in expensive hardware. . Machine Learning: Data scientists can leverage Juice to run complex ML models and algorithms on high-performance GPUs, accelerating their research and development process. . Remote Collaboration: Teams working on graphics-intensive projects can share GPU resources using Juice, enabling them to collaborate efficiently and reduce hardware costs.