Juice

Juice is a GPU-over-IP solution that transforms how teams access and utilize graphics processing units. It works by installing a lightweight software client that intercepts GPU API calls (CUDA, DirectX, Vulkan) and redirects them to remote physical GPUs over standard networks. This means your applications think they're running on local hardware, but the actual computation happens on pooled GPU resources elsewhere, whether in your data center, cloud, or edge location.

The technology stands out by providing dynamic, granular resource allocation that outperforms traditional virtualization methods like MIG or vGPU. Unlike static partitioning that wastes unused capacity, Juice allows true oversubscription where multiple users can share a single GPU with varying resource needs. It supports both compute workloads (AI training, inference) and graphical applications (3D rendering, CAD software) simultaneously, and works with any NVIDIA GPU from consumer RTX cards to data center A100s.

Juice benefits AI developers who need access to high-end GPUs without buying expensive hardware, creative professionals running demanding applications like Blender or Unreal Engine, and engineering teams using Windows-exclusive software like CATIA or Siemens NX. It's particularly valuable for organizations looking to maximize GPU utilization, avoid cloud vendor lock-in, or provide GPU resources to remote team members without complex infrastructure changes.