Juice

Juice: Network-Attached and Pooled GPUs

What is Juice?

Juice is a software solution that enables GPU-over-IP, transforming your GPUs into remotely accessible, virtualized resources. This allows for pooling, sharing, and dynamic allocation of GPUs for AI and graphics-intensive workloads.

Key Features:

• Remote GPU Access: Access any GPU, anywhere, over standard networking.
• Dynamic Sharing: Share GPUs with multiple application hosts remotely and allocate resources dynamically for near 100% utilization.
• GPU Flexibility: Adapt and re-balance compute resources dynamically.
• Orchestration without Kubernetes: Implement dynamic GPU scheduling, pooling, and fractionation without the complexity of Kubernetes.

How to use Juice?

Juice is designed for easy installation and integration. Simply install the software to network-attach your GPUs and make them available as remote resources.

Why is Juice important?

Juice offers several key benefits:

• Increased GPU Utilization: Maximize the usage of your GPU resources by sharing them across multiple workloads.
• Cost Savings: Reduce infrastructure costs by efficiently utilizing existing GPU capacity.
• Flexibility and Scalability: Dynamically adapt and re-balance compute resources to meet changing demands.
• Simplified Management: Orchestrate GPU resources without the need for complex containerization platforms like Kubernetes.

Where can I use Juice?

Juice can be used in a variety of scenarios, including:

• AI and Machine Learning: Accelerate AI model training and inference by providing remote access to GPU resources.
• Data Science: Enable data scientists to run AI workloads dynamically across distributed GPU networks.
• High-Performance Computing: Orchestrate GPU resources for demanding HPC applications.
• Cloud Computing: Route GPU capacity from abundant locations to scarce locations, even across different cloud providers.

Customer Success Stories:

• A top technical university uses Juice for dynamic GPU scheduling in their supercluster.
• A digital infrastructure company uses Juice to route GPU capacity across different clouds.
• A workstation manufacturer enables data scientists to run AI workloads across Juice-powered distributed GPU networks.