Juice — Network-Attached GPU Virtualization

Juice is a GPU virtualization platform that enables remote hardware access for developers and machine learning teams.

Juice transforms GPU utilization by enabling full network attachment, allowing developers to access remote hardware as if it were locally connected. This virtualization tool is designed for machine learning engineers and developers who need high-performance compute without the overhead of physical hardware maintenance. By decoupling the GPU from the physical machine, Juice allows teams to scale resources up or down instantly across standard networking protocols. The software provides bare-metal performance for both graphical and machine learning tasks, ensuring that there is no latency compromise when running intensive models. You can implement GPU load-balancing telemetry to share expensive resources across an entire organization efficiently. This approach eliminates the need for complex setup times or long-term commitments to specific server stacks. Business owners can utilize Juice to reduce capital expenditure on hardware while maintaining the ability to handle fluctuating compute demands. It works by presenting remote GPUs to the operating system as standard PCIe devices, making it compatible with existing workflows and software. You can find more technical insights and similar infrastructure tools on surfai.app to optimize your 2026 tech stack. The platform follows a freemium model that allows for initial testing before scaling to larger production environments. Pricing is structured to provide an affordable alternative to traditional cloud GPU providers by maximizing existing hardware utilization across your network.

• Pricing: freemium

Specifications

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