HP Inc
SKU: BN6X0UT#ABA
Overview
Manufacturer-verified compatible cameras, recorders, mounts, accessories, and licenses for this product. Adjust quantities and add the entire bundle to your cart in one click.
Overview
Questions about this product? Free pre-sales support from a senior specialist — product questions, compatibility checks, BOM quotes, price confirmation — typically answered within one business day. Need camera placement or system design work? Engineering time is $175 per hour (qty 1 = 1 hour). Hardware buyers get up to one hour ($175) credited back on their order.
The HP Z2 Tower G1i (BN6D9UT#ABA) is a commercial-grade workstation tower built around Intel's 15th-generation Core Ultra 7 265K processor — a 20-core chip that turbos to 5.50 GHz and integrates Intel AI Boost delivering up to 13 TOPS of on-chip AI inference. Paired with a discrete NVIDIA Quadro RTX 2000 GPU and 32GB of system memory, this configuration targets physical security operations centers, video analytics workstations, and engineering environments that need both CPU throughput and ISV-validated graphics in a tower form factor. If you're evaluating HP Inc workstations for a surveillance command center or security integration deployment, the Z2 Tower G1i sits at the professional-grade entry point of the Z-series line.
The BN6D9UT#ABA's Quadro RTX 2000 GPU and Core Ultra 7 265K processor make it compatible with professional VMS platforms that publish ISV certification lists — verify your specific VMS version against HP's and NVIDIA's published compatibility matrices before deployment. The Intel AI Boost NPU is accessible via OpenVINO and compatible AI inference runtimes; workloads not explicitly compiled for NPU acceleration will fall back to CPU or GPU. For PoE switch and IP camera infrastructure deployments requiring an on-premise decode and management workstation, the Z2 Tower G1i fits within standard 15A commercial circuits given its tower PSU configuration.
Q: What GPU is included in the BN6D9UT#ABA?
A: The BN6D9UT#ABA includes an NVIDIA Quadro RTX 2000 — a professional-grade GPU with ISV certifications for workstation applications, distinct from consumer GeForce cards.
Q: What does Intel AI Boost (13 TOPS) mean for security workstation deployments?
A: The integrated NPU (Neural Processing Unit) delivers up to 13 TOPS of AI inference compute on-chip, offloading lightweight AI tasks from the CPU and GPU — useful for AI-assisted video analytics plugins that support NPU acceleration via OpenVINO or compatible runtimes.
Q: How much RAM does the BN6D9UT#ABA ship with, and is it upgradeable?
A: The unit ships with 32GB. The Z2 Tower G1i platform supports memory expansion; consult the HP Z2 Tower G1i memory specification guide for supported DIMM types and maximum capacity before ordering upgrade modules.
Q: What storage does the BN6D9UT#ABA include?
A: It includes a 1TB M.2 PCIe NVMe 2280 TLC Gen 4x4 SSD — a high-throughput primary drive. For surveillance applications requiring additional video retention storage, secondary drives can be added via available internal bays in the tower chassis.
Q: What are the physical dimensions and weight of the BN6D9UT#ABA?
A: The unit measures 12.00 × 23.23 × 20.00 inches (L × W × H) and weighs 30 lb.

The BN6D9UT#ABA's combination of a 20-core Core Ultra 7 265K running to 5.50 GHz boost and a Quadro RTX 2000 is the configuration I'd specify for a mid-scale physical security operations center — the kind of environment where an operator is simultaneously running a 32-to-64-channel VMS decode, an analytics dashboard, and incident reporting software. The NPU's 13 TOPS of AI Boost capacity is a real differentiator here over standard workstations that lack dedicated inference silicon.
Technical Highlights:
Deployment Considerations:
For a security integrator building out a permanent on-premise command center — 30 to 64 cameras, AI-assisted analytics, operator console with multi-display output — the BN6D9UT#ABA is the right class of machine: professional GPU certification, NPU-assisted inference, and the core headroom to sustain mixed workloads across a full shift without throttling.
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