Juice: GPU over IP
Juice is a software solution that enables GPU-over-IP, allowing you to network-attach and pool your GPUs. It transforms GPUs into remote virtual resources, making them accessible for AI and graphics workloads across on-premise and cloud deployments.
Key Features:
- GPU Pooling and Sharing: Dynamically share GPUs with multiple application hosts, maximizing utilization.
- Remote Access: Access GPUs from anywhere over standard networks without application or hardware modifications.
- Ephemeral Compute: Provides on-the-fly access to GPUs wherever applications need them.
- Dynamic Resource Allocation: Adapt and re-balance compute resources dynamically based on workload demands.
- Kubernetes-Free Orchestration: Enables dynamic GPU scheduling, pooling, and fractionation without Kubernetes.
Use Cases:
- AI Workloads: Accelerate AI training and inference by providing seamless access to GPU resources.
- Graphics Workloads: Support remote graphics applications with high-performance GPU acceleration.
- Cross-Cloud GPU Routing: Route GPU capacity between different cloud environments based on availability and demand.
- Workstation Enhancement: Empower data scientists by providing dynamic access to distributed GPU networks.
