Juice Labs

This architecture is particularly beneficial for Telcos & ISPs looking to unlock the edge and achieve a fast time to market. It allows for the rapid deployment of GPU servers without the need for additional systems, tooling, or infrastructure overhead. Existing Points of Presence (POPs) can be augmented with GPUs, dedicating space and power to high-value assets. The core advantage lies in maximizing GPU utilization through fractional sharing, leading to a stronger Return on Investment (ROI) for every deployed card. Furthermore, Juice Labs ensures data sovereignty, as customer data never rests on provider systems, keeping data gravity and compliance within the user's control.

Juice Labs offers a distinct advantage over traditional infrastructure like VDI, batch processing, and hardware partitions. Its setup complexity is low, requiring only client installation, unlike the high complexity of VDI or K8s. Resource pooling is dynamic and granular, contrasting with the static partitioning of MIG or vGPU. Data locality is maintained on local disks, and the solution is hardware-agnostic, supporting any NVIDIA GPU, including consumer RTX cards. Full Windows support is provided, enabling a vast ecosystem of creative and engineering software.

The platform facilitates dynamic allocation of VRAM and compute, enabling true oversubscription and higher utilization compared to static partitioning. It supports both heavy graphical workloads (DirectX/Vulkan) and ML compute (CUDA) simultaneously, a capability often limited in other solutions. Juice Labs also integrates seamlessly with HPC environments like SLURM, allowing CPU nodes to access GPU power on-demand over the network. Data remains accessible from its original location on the CPU node, and existing CPU fleets can be utilized for GPU-accelerated workloads, maximizing CPU ROI and increasing throughput by enabling parallel job execution.

Juice Labs offers cross-platform freedom, acting as a universal translation layer that allows applications to access the best available compute regardless of the underlying platform. This includes running Windows-exclusive software on Linux cloud GPUs and connecting ARM-based edge devices to x86 data center GPUs. For hyperscalers, it provides multi-cloud arbitrage capabilities, allowing them to escape GPU shortages and pricing issues by bursting to cost-effective neoclouds while keeping their data and control plane in their preferred cloud provider. Data gravity is solved by streaming data to the GPU host for in-transit processing only, avoiding governance risks. Instant availability of high-end GPUs from providers like CoreWeave, Nebius, or Lambda is also a key benefit, with zero refactoring required.