Juice

Network-attach and pool your GPUs with just software

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Description

Juice provides a seamless solution for organizations to network-attach and pool GPUs anywhere using only software, making them accessible as remote, virtualized resources. Its GPU-over-IP technology eliminates the need for application or hardware modifications, allowing users to dynamically share, allocate, and maximize GPU utilization across departments, clouds, and edge environments.

With Juice, compute resources adapt instantly to workload demands—turning any CPU node into a GPU-accelerated node and enabling AI and graphics projects to access powerful GPU capacity from any network location. This flexible approach empowers enterprises and research teams to orchestrate, manage, and maximize their GPU infrastructure efficiently.

Key Features

GPU-over-IP: Instantly virtualize and pool GPUs for remote access
Seamless Sharing: Dynamically share and allocate GPUs among multiple hosts
No Code Modifications Required: Use GPUs remotely without altering existing applications or hardware
Dynamic Pooling: Aggregate or fraction GPUs across networks and clouds
Ephemeral Compute: On-the-fly GPU acceleration, attach and release as needed
Cross-Network Access: Access GPU resources anywhere over standard networking
Near-Max Utilization: Optimize GPU usage across distributed workloads
Orchestration without Kubernetes: Deploy dynamic GPU scheduling and pooling without k8s
Multi-cloud Routing: Move GPU capacity between clouds to meet demand
Turn CPU Nodes into GPU Nodes: Instantly provide GPU acceleration to CPU-only nodes

Use Cases

Sharing GPU resources across teams or organizations
Accelerating AI and graphics workloads dynamically
Enabling GPU access on CPU-only nodes
Supporting superclusters and research environments with dynamic GPU scheduling
Pooling and redistributing GPU resources across multiple clouds

Frequently Asked Questions

What is Juice?

Juice is a software platform that enables seamless pooling, sharing, and remote access to GPU resources over networks for AI and graphics workloads.

How does Juice enable GPU sharing?

Juice uses GPU-over-IP technology to virtualize GPUs, allowing multiple application hosts to dynamically share and allocate GPUs across existing networks.

Does Juice require code modifications?

No, Juice works without requiring any changes to your applications or hardware.

Can Juice work across different networks and clouds?

Yes, Juice allows access to GPU resources anywhere over standard networks, including cross-cloud environments.

Does Juice require Kubernetes (k8s) for orchestration?

No, Juice can orchestrate dynamic GPU scheduling, pooling, and fractionation without the need for Kubernetes.