What is Juice?
Juice is a GPU‑over‑IP solution that transforms local GPUs into remote virtual resources, enabling fractional GPU sharing and dynamic allocation across AI and graphics workloads. The client‑agent architecture intercepts CUDA, Vulkan, and DirectX 12 calls over TCP/IP, allowing applications such as Python scripts, Blender, Unreal Engine, CATIA, and Siemens NX to run on remote GPUs with minimal code changes.
Juice supports any NVIDIA GPU—including consumer RTX and workstation cards—on Windows or Linux hosts and integrates with SLURM for on‑demand GPU access. It also bridges ARM‑based edge devices to x86 data‑center GPUs and establishes encrypted TLS 1.3 tunnels for secure data transfer.
Juice pricing Freemium
Verify on the official pricing page.
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Based on 1 review, 100.0% of users recommend Juice, rated highly for quality results.
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Juice's key features
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Remote GPU pooling over IP
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Dynamic VRAM allocation and oversubscription
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Zero code modifications required
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Secure TLS 1.3 network access
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Hardware agnostic NVIDIA GPU support
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Multi-API CUDA Vulkan DX12 support
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Scheduler integration with SLURM
Juice use cases
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Enable remote AI research teams to train large transformer models on shared NVIDIA GPU clusters over secure TLS 1.3 tunnels, eliminating the need for local GPU hardware upgrades and reducing infrastructure costs
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Accelerate real‑time 3D rendering in Blender or Unreal Engine by offloading compute to edge GPUs via Juice’s virtualized GPU bridge, letting artists preview scenes with full GPU fidelity while working on modest workstations
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Deploy multi‑tenant CUDA workloads in a university HPC environment using SLURM integration, allowing students and faculty to share fractional GPU resources through secure TCP/IP channels for parallel simulations
Who is it for?
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Software developers
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Research scientists
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Data analysts
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Remote computing engineers
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Cloud computing engineers