Juice - GPU over IP for AI and Graphics Workloads

Juice

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Type:
Website
Last Updated:
2025/12/19
Description:
Juice is a software solution that enables GPU-over-IP, allowing remote access and dynamic sharing of GPUs for AI and graphics workloads. It improves GPU utilization and efficiency.
Share:
GPU pooling
remote GPU access
AI workloads
GPU sharing
dynamic resource allocation

Overview of Juice

What is Juice?

Juice is a revolutionary software solution that unlocks the power of GPU-over-IP, transforming your GPUs into remote virtual resources. With Juice, you can pool, share, and dynamically allocate GPUs across networks, making them accessible for AI and graphics workloads. This innovative approach allows for seamless GPU sharing and optimal utilization, ensuring your applications run efficiently while keeping GPU usage near 100%.

Key Features of Juice

  • Remote GPU Access: Connect to any GPU over standard networking, enabling remote access and utilization.
  • Dynamic Pooling and Sharing: Share GPUs across multiple application hosts and allocate resources dynamically.
  • High Utilization: Keep your GPUs near 100% utilization, maximizing efficiency and performance.
  • Flexible Deployment: Deploy on-premises or in the cloud, adapting to your specific needs.
  • Cross-Cloud Capabilities: Turn any CPU-only node into a GPU node on the fly, even across different cloud environments.

How Does Juice Work?

Juice operates by creating a new computing substrate where accelerated compute flows over networks, similar to how electricity flows over the grid. This allows for:

  • Instant Attachment: Attach acceleration instantly, just when you need it.
  • Dynamic Rebalancing: Adapt and rebalance compute resources dynamically to meet changing demands.
  • Seamless Integration: Integrate with existing infrastructure without the need for complex setups like Kubernetes.

Use Cases for Juice

Enterprise and Fortune 100 Companies

Juice is helping global enterprises and Fortune 100 companies access accelerated computing within their networks. Some notable use cases include:

  • Dynamic GPU Scheduling: A top 10 technical university uses Juice in their supercluster for dynamic GPU scheduling, pooling, and fractionation without Kubernetes.
  • Cross-Cloud GPU Routing: A leading digital infrastructure company uses Juice to route GPU capacity from abundant locations to scarce ones, even across different clouds.
  • Distributed GPU Networks: A Fortune 100 workstation manufacturer enables its customers' data scientists to run AI workloads dynamically across Juice-powered distributed GPU networks.

Testimonials

  • Thomas, DevOps Engineer, Ubisoft: "Juice is a complete game changer for us. Being able to connect to remote GPU natively and share resources across workloads allows for massive savings and innovative new deployments."
  • Jarrett Simerson, CTO & SVP, Dell Client Solutions: "We see a great opportunity to partner on achieving our longer-term objectives related to end-user computing and the paradigm shift of AI… We are impressed by the technological advancements [Juice] has achieved in the computing space."
  • Dr. Chris Simmons, CSO, Cambridge Computer: "We see immediate benefit… not only in terms of GPU utilization, but in terms of how we build out resources and design from the storage layer to the GPU layer."
  • RVP, Equinix: "We believe Juice Labs will unlock the potential of Private AI on a global scale."

Why Choose Juice?

Juice offers a unique solution for organizations looking to maximize their GPU resources. By enabling remote access and dynamic sharing, Juice ensures that your GPUs are always utilized to their fullest potential. This not only improves efficiency but also allows for innovative new deployments and significant cost savings.

Who is Juice For?

Juice is ideal for:

  • Enterprises and Fortune 100 Companies: Looking to optimize their GPU resources and improve efficiency.
  • Data Scientists and AI Researchers: Needing dynamic access to GPU resources for their workloads.
  • Digital Infrastructure Providers: Wanting to route GPU capacity across different environments.
  • Educational Institutions: Requiring dynamic GPU scheduling and pooling for their superclusters.

Best Way to Utilize Juice

To get the most out of Juice, consider the following steps:

  1. Assess Your Needs: Determine your GPU requirements and how Juice can help optimize your resources.
  2. Deploy Juice: Choose between on-premises or cloud deployment based on your infrastructure.
  3. Integrate with Existing Systems: Seamlessly integrate Juice with your current setup for immediate benefits.
  4. Monitor and Adjust: Continuously monitor your GPU utilization and adjust resources as needed.

Conclusion

Juice is a groundbreaking solution that transforms the way organizations access and utilize GPU resources. By enabling remote access, dynamic sharing, and high utilization, Juice ensures that your GPUs are always working at their fullest potential. Whether you're an enterprise looking to optimize resources or a data scientist needing dynamic access to GPUs, Juice offers a flexible and efficient solution.

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