ASUS PD500TC-RTX4000ADA Thunderbolt GPU Module

The ASUS PD500TC-RTX4000ADA is a Thunderbolt-connected external GPU module built around the NVIDIA RTX 4000 Ada Generation professional graphics card. Leveraging the Ada Lovelace architecture, it delivers hardware-accelerated ray tracing, DLSS 3, and NVIDIA AV1 encoding within a compact, bus-powered enclosure that connects to compatible hosts via Thunderbolt 4. The module is engineered to extend the professional GPU capabilities of thin-and-light workstations, mobile workstations, and compact systems that cannot accommodate a full discrete GPU internally.

The RTX 4000 Ada at its core features 6,144 CUDA cores, 48 third-generation RT cores, and 192 fourth-generation Tensor cores, supported by 20 GB of GDDR6 ECC memory across a 160-bit memory interface. This configuration supports demanding visualization, simulation, and AI inferencing workloads that require ECC-protected memory and ISV-certified drivers. The enclosure integrates power delivery over the same Thunderbolt 4 cable, simplifying deployment in space-constrained enterprise environments.

The PD500TC-RTX4000ADA is positioned for enterprise IT, architecture and engineering workflows, media production, and edge AI inference scenarios where a certified professional GPU must accompany a portable or compact host system. Its form factor makes it suitable for shared workstation resources, field deployments, and satellite offices where rack-mounted or tower workstations are impractical, while still meeting the driver certification and ECC memory requirements mandated by professional ISV applications.

Ideal for

• Mobile workstation GPU expansion for engineers and architects running ISV-certified CAD and BIM applications on thin-and-light laptops
• Edge AI inference acceleration at branch offices or field sites where full tower workstations cannot be deployed
• Professional media and post-production workflows requiring hardware AV1 encode and NVIDIA NVENC on compact host systems
• Secure, desk-side GPU resource for enterprise users who share a certified professional GPU across hot-desking environments via Thunderbolt dock integration
• Scientific visualization and simulation for researchers using compact mini-PC or NUC-class hosts that lack internal PCIe slots
• Training and development environments for AI/ML engineers who require Tensor core acceleration and ECC memory on a portable, plug-and-play platform

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.