Juice
Overview of 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.
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