What is Juice
We're building a new computing substrate where accelerated compute flows like electricity. This platform enables any application host to tap into GPUs from anywhere, over standard networking, without requiring changes to your applications or hardware.
How to Use Juice
- Access GPUs anywhere: Connect to GPUs remotely over standard networking.
- Seamless GPU Sharing: Share GPUs with multiple application hosts and allocate resources dynamically.
- Efficient Scaling: Pool and scale GPUs independently from CPUs, even across data centers.
Use Cases of Juice
Juice cases demonstrate the platform's capabilities in real-world scenarios:
- A top technical university uses Juice for dynamic GPU scheduling and pooling without Kubernetes.
- A digital infrastructure company routes GPU capacity across clouds using Juice.
- A Fortune 100 company enables data scientists to run AI workloads across distributed GPU networks.
Features of Juice
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Access GPUs anywhere
Any application host can tap into GPUs from anywhere, over standard networking. No changes to your applications or hardware.
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Seamless GPU Sharing
Share GPUs with multiple application hosts remotely and allocate resources dynamically. Achieve near-100% utilization.
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Efficient Scaling
Pool and scale GPUs independently from CPUs, even across data centers. Efficient resource balancing for maximum performance.
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Limitless flexibility for graphics and AI workloads
Dynamic sharing and pooling software gives any GPU accelerated workload direct remote access to any GPU capacity on any network.