Internal qualification has demonstrated a 3840×2160 workstation surface at 59.
Internal qualification has demonstrated a 3840×2160 workstation surface at 59.52 FPS mean decoded rate on the referenced test path.
PIXELD · 4K REMOTE WORKSTATION
A high-performance workstation no longer has to sit under the desk.
Centralize premium CPU/GPU compute and deliver demanding engineering and visual applications as interactive remote workspaces, with measured 4K qualification on the current PixelD path.
WHAT THIS PIXELD MODE MEANS
One PixelD fabric. A workload-specific operating profile.
PixelD separates the workstation experience from the physical workstation. Organizations can place high-value CPU/GPU capacity in controlled infrastructure and provide users with workload-sized remote workstation profiles.
WHY IT MATTERS
Move the workload to the right compute without losing operational control.
PixelD is evaluated around user experience, centralized control, security boundaries, resilience and infrastructure efficiency—not only around a remote-display protocol.
Target CAD, 3D, visualization, simulation and other graphics-intensive applications that benefit from centralized GPU resources.
Target CAD, 3D, visualization, simulation and other graphics-intensive applications that benefit from centralized GPU resources.
Assign shared or dedicated compute profiles around workload requirements instead of peak-sizing every endpoint.
Assign shared or dedicated compute profiles around workload requirements instead of peak-sizing every endpoint.
Give engineers and specialists controlled access to project environments from distributed locations.
Give engineers and specialists controlled access to project environments from distributed locations.
USE CASES
Start with the workload, not the endpoint.
Choose one expensive, difficult or highly controlled workload and qualify the experience before expanding the operating model.
CAD & product design
Technical drawing, model interaction, design review and engineering applications.
3D & visualization
Blender-class modelling/rendering and other real-time graphics workflows.
Simulation & review
Interactive simulation, visualization and shared technical review on centralized compute.
Engineering labs
Standardized application stacks for classrooms, labs, design teams and R&D environments.
PIXELD OPERATING MODEL
Access device → PixelD session + policy → workload-sized CPU/GPU + governed data.
ACCESS
Browser · endpoint · headset where qualified
Display, input and secure access appropriate to the workload.
→
PIXELD
Session · application · policy · lifecycle
One managed operating layer for the user and application environment.
→
COMPUTE + DATA
CPU · GPU · RAM · project state
Resources stay where performance, security and recovery make business sense.
COMMON QUESTIONS
Understand the boundary before the pilot.
PixelD claims are intentionally tied to measured or qualified deployment conditions rather than universal performance promises.
Does PixelD support 4K remote workstations?
PixelD has internal qualification evidence for a live 3840×2160 workstation surface. Results are workload-, network-, host- and endpoint-specific and should be validated for each deployment.
Is the measured 8.14 ms an end-to-end latency figure?
No. It is the measured mean server video-path figure from the referenced qualification and is not an input-to-photon or universal WAN latency claim.
Can PixelD be used for CAD and 3D work?
That is one of its intended high-fidelity modes. Application compatibility, GPU profile, peripherals and network conditions should be included in the pilot acceptance criteria.
NEXT STEP
Prove this workload on PixelD.
Define the application, endpoint, network, compute profile, data boundary and measurable acceptance criteria. Then qualify it under real operating conditions.