Juice - GPU over IP
Pool and share GPU resources across networks without hardware changes
Target Audience
- Enterprise IT departments
- AI research teams
- Cloud infrastructure providers
- High-performance computing facilities
Hashtags
Overview
Juice lets organizations turn physical GPUs into flexible network resources through simple software installation. Teams can dynamically allocate GPU power where it's needed most, whether for AI workloads or graphics processing. It eliminates underutilized hardware by enabling remote access and sharing across existing infrastructure.
Key Features
Remote Access
Use network-connected GPUs as if they're locally installed
Dynamic Allocation
Instantly assign GPU power to applications when needed
Hardware Agnostic
Works with existing GPUs and standard networks
Fractional Sharing
Split single GPU across multiple applications simultaneously
Use Cases
Turn CPU nodes into GPU nodes cross-cloud
Balance GPU resources between cloud regions
Dynamically schedule supercluster compute resources
Share GPU pools across enterprise departments
Pros & Cons
Pros
- Maximizes GPU utilization rates
- No application modifications required
- Works across edge/cloud/workstation environments
- Integrates with existing network infrastructure
Cons
- Primarily targets enterprise users
- Requires existing GPU infrastructure to manage
Reviews for Juice - GPU over IP
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