Juice

HP Z Boost offers low-latency shared GPU access, optimized for LAN-grade network performance, allowing creators and engineers to access shared GPU power for demanding tasks. It maximizes GPU utilization by turning underutilized workstation GPUs into shared, centrally managed resources, dynamically allocating individual GPU resources to avoid overprovisioning. Security is maintained by keeping sensitive project files and data on-prem, on-device, and under your control, minimizing cloud-related risks. The solution works over LAN and WAN, requires no application code changes, and supports CUDA, Vulkan, and DirectX 12 API calls.

HP Z Boost is used to accelerate AI innovation and design cycles by dynamically assigning shared GPUs to users and tasks that need them. It shortens design cycles and unblocks teams by providing on-demand, on-prem resources, eliminating waits for upgrades, reconfigurations, or render queues. It is suitable for data scientists, AI developers, engineers, and designers who need to run complex workloads such as rendering, visualization, and AI training/inference without being limited by their local device's hardware.

The page does not provide specific pricing information for HP Z Boost. It mentions a waitlist for early access and directs users to contact sales for more details.