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Reimagine GPU Power. Boost Productivity.

HP Z Boost

World's first on-demand GPU compute solution, turning your workstation into a shareable resource.Based on HP’s internal analysis of OEM branded workstation solution that can access a networked workstation GPU directly instead of the entire workstation for processing intense data science GPU enabled workloads. Workstations defined as having a minimum 3 ISV certs, configurable professional graphics, and a dedicated workstation brand as of September 2024.*  
 
HP Z Boost shifts GPU access from hardware bound to on demand, accelerating rendering, visualization, and AI workloads through shared resources. Give every engineer, designer, or AI professional the performance they need when they need it, without overprovisioning.Z by HP Boost requires client devices with Windows 10 or Windows 11 OS and Vulkan Runtime for devices without a GPU, or WSL2 with Ubuntu 22.04 or Ubuntu 22.04 LTS or greater. Host device for sharing GPU(s) must be a Z by HP workstation with NVIDIA professional grade workstation GPU(s) of Pascal architecture or later with an installed driver version 535 or greater, and a CUDA driver version 11.2 through to 12.3, Windows 10 or Windows 11 OS (WSL is not supported), or Ubuntu 22.04 LTS or greater or Debian 11 or greater with libatomic1, libnumal1, libvulkan1, libgl1, libglib2.0-0 packages installed. Network connection required. Join waitlist to be considered for selection for early access.*

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Boost Documents

How It Works

1. Access GPUs from an end user PC for complex workflows.

2. With HP Z Boost view and select workstations with available GPUs to connect to.

3. Tap into up to four high-end GPUs within a HP Z workstation for increased GPU performance.

Boost Your Team’s Impact

Accelerate AI Innovation

Accelerated Design Cycles

Shorten design cycles and unblock teams by dynamically assigning shared GPUs to the users and tasks that need them. On-demand, on-prem resources accelerate workflows from idea to output no waiting for upgrades, reconfigurations, or render queues.

Remote Agility

Low-Latency Shared GPU Access

On‑prem GPU compute, optimized for low‑latency LAN‑grade network performanceNetwork connection required.*, gives creators and engineers access to shared GPU power for demanding visualization, rendering, and AI tasks while removing the limits of their local device.

Cost Efficiency

Maximized GPU Utilization

Deliver value by turning underutilized workstation GPUs into shared, centrally managed resources. Dynamically allocate individual GPU resources avoiding overprovisioning, increasing utilization, and extending the workstation value.

Security

Local Data. Secure Workflows.

Keep sensitive project files and data on-prem, on-device and under your control. HP Z Boost lives within your network, minimizing cloud‑related risks and preventing unpredictable cloud-computer cost.

Architecture Overview 

Boost decouples the GPU work in the application from the local workstation, allowing shared GPU pools to accelerate many users.

User Application

(ON LOCAL WORKSTATION)

Catia V6 / Siemens NX / Enscape, etc.
 
The application process runs here. It thinks it has a local GPU, but Juice intercepts the API calls.

GPU Calls Over Network

CUDA API Calls
Vulkan API Calls
DirectX 12 API Calls

GPU Host Workstation

NVIDIA professional workstation GPUs
 
The actual GPU work executes here. The results (frames, tensors) are sent back to the client.

Works over LAN and WAN | No application code changes required.

The HP Z Boost Advantage

See how HP Z Boost stacks up against traditional infrastructure. We eliminate the complexity of VDI, the latency of batch processing, and the rigidity of hardware partitions.

Feature

Setup Complexity

Resource Pooling

Data Locality

Hardware Agnostic

Desktop Support

Automatic Orchestration

On premise Deployment

HP Z Boost

✓ Low (Install Client)

✓ Dynamic & Granular

✓ Local Disk

✓ Yes
(Any Nvidia GPU)

✓ Yes
(DirectX / Vulcan /CUDA)

✓ Yes
(Programmatically & Interactively)

✓ Yes
(Fully Air Gapped)

VDI / Cloud Desktop

High (Manage Images)

Static (1:1 or 1:N)

Remote Storage

Yes

Yes

No

No

K8s / Containers

Very High (DevOps)

Static (Request/Limit)

Remote Object Store

Yes

Headless / CLI Only

No

Yes

MIG / vGPU

High (Hypervisor Config)

Static (Fixed Partitions)

N/A

No (Specific SKUs Only)

Sometimes

No

Yes

Need More GPUs? Build Your GPU Infrastructure.

Unleash Z8 Fury Power

Share up to 4 high-performance NVIDIA GPUs from the HP Z8 Fury with HP Z Boost. Shift GPU access from hardware‑bound to on‑demand, accelerating rendering, visualization, and AI workloads using shared GPU resources.

Learn More

Try HP Z Boost

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Disclaimers

  1. The information contained herein is subject to change without notice. The only warranties for HP products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. HP shall not be liable for technical or editorial errors or omissions contained herein.