Juice Labs offers a software solution that enables GPUs to become fully network-attached, allowing for scaling development without setup time or commitment to specific hardware. It provides bare-metal performance for both graphical and ML tasks over standard networking, enabling GPU sharing across multiple clients and tasks. Juice unlocks GPU-over-IP capabilities for on-premise and cloud deployments.
Software to network-attach and pool GPUs for remote access and sharing.
- Dynamic GPU scheduling and pooling in superclusters
- Routing GPU capacity across different cloud environments
- Enabling data scientists to run AI workloads across distributed GPU networks
- Install the Juice software to transform GPUs into remote virtual resources that can be pooled
- shared
- and accessed by AI and graphics workloads over a network. No code modifications are required for applications to access these GPUs.
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