HP Inc BN5K6UT#ABA Z2 Tower G1i Workstation Desktop PC
Overview
The HP Z2 Tower G1i, model BN5K6UT#ABA, is a SmartBuy-configured workstation built around Intel's 15th-generation Core Ultra 9 285K processor — a 24-core chip that runs to 5.70 GHz under boost. Pair that with 32GB of RAM, a 1TB PCIe NVMe Gen 4x4 SSD, an NVIDIA Quadro RTX 4000 GPU, and Intel AI Boost delivering up to 13 TOPS of on-device AI inference, and you have a tower-format workstation sized for demanding professional workloads: physical security command centers running multi-stream VMS decode, engineering stations handling CAD or simulation, and AI-assisted video analytics at the network edge. At 18 lb in a 12 × 20 × 23.23 in chassis, it sits comfortably under a desk or in a dedicated workstation bay without requiring rack infrastructure.
For integrators evaluating HP Inc workstations for surveillance and physical security applications, the Z2 Tower G1i sits in HP's commercial workstation line, above consumer desktops but below the full Z4/Z6/Z8 rackmount family — the right tier when you need ISV-validated performance and a Quadro GPU without the cost or footprint of a tower server.
Key Features
- Intel Core Ultra 9 285K — 24 cores to 5.70 GHz: The 285K's 15th-generation architecture separates performance and efficiency cores, meaning background OS and telemetry tasks don't steal cycles from your primary workload. At 5.70 GHz single-core boost, latency-sensitive tasks — live analytics inference, VMS timeline scrubbing, real-time codec decode — execute without perceptible lag. Deployments running 64+ camera streams of H.265 simultaneous decode will use this headroom.
- NVIDIA Quadro RTX 4000: The RTX 4000 is a professional-class GPU with ISV certifications across the major workstation software stacks. For security integrators, this matters because forensic video enhancement tools, AI-based object detection platforms, and video analytics engines targeting CUDA acceleration rely on Quadro-class drivers — not the consumer GeForce stack. VRAM capacity supports multi-monitor forensic workstations running four or more displays simultaneously.
- Intel AI Boost — up to 13 TOPS: The dedicated Neural Processing Unit (NPU) built into the Core Ultra 9 285K offloads inference tasks from both the CPU and GPU. In practice, this means on-device AI workloads (facial recognition pre-processing, anomaly detection pipelines, edge inferencing for access control) can run concurrently without starving your VMS decode threads. 13 TOPS is a meaningful allocation for light inference; heavier model inference still routes to the RTX 4000.
- 1TB M.2 PCIe NVMe Gen 4x4 TLC SSD: Gen 4x4 sequential reads typically exceed 7,000 MB/s, which matters when loading large forensic video archives off local storage or when a VMS writes simultaneous high-bitrate streams to a local buffer before pushing to NAS. TLC NAND is the right durability tier for a workstation-class write profile — not write-intensive enough to require SLC or enterprise SSD, but appropriate for sustained professional workloads.
- 32GB RAM: Running a full VMS client, a browser-based PSIM dashboard, and background system processes simultaneously requires this baseline. Security operators commonly hit 16GB limits running modern VMS software with active analytics overlays; 32GB keeps headroom for virtual machines or Docker-based analytics containers without swapping.
- Tower form factor — 18 lb, no rack required: At 12 × 20 × 23.23 in, this unit fits under a standard operations desk or in a workstation cabinet. For physical security integrators deploying at a customer site without a server room, this eliminates the need to provision rack space, rails, or a UPS sized for rack density — a meaningful installation simplification on smaller enterprise or mid-market deployments.
- SmartBuy configuration: HP SmartBuy SKUs are fixed-configuration units stocked by commercial distributors — no configure-to-order lead time. For integrators on a project deadline, BN5K6UT#ABA is a ready-to-ship commercial workstation, not a build-to-order unit with 4–6 week lead times.
Integration and Compatibility
The Z2 Tower G1i targets professional workstation software environments. The NVIDIA Quadro RTX 4000 carries ISV certifications with major AEC, media, and simulation suites. For physical security deployments, confirm your specific VMS version's GPU-accelerated decode compatibility with the RTX 4000 — most enterprise VMS platforms (Milestone, Genetec, Axis Camera Station, Avigilon) document GPU requirements in their system design guides. The Core Ultra 9 285K platform supports DDR5 memory and PCIe Gen 5 — confirm expansion card compatibility if integrating specialized frame grabbers or hardware decode cards. For NVR and server-class recording requirements at higher channel counts, evaluate HP Z4 or Z6 tower options in the same family. Pairing this workstation with a managed PoE switch for camera infrastructure is a natural complement in a converged security deployment.
Frequently Asked Questions
Q: What processor does the BN5K6UT#ABA use, and how many cores does it have?
A: It uses the Intel Core Ultra 9 285K, a 15th-generation processor with 24 cores running at a base of 3.20 GHz and boosting to 5.70 GHz.
Q: What GPU is included in the BN5K6UT#ABA?
A: The unit ships with an NVIDIA Quadro RTX 4000, a professional-class GPU suitable for ISV-certified workstation software and GPU-accelerated video analytics.
Q: What is Intel AI Boost and what does 13 TOPS mean for this workstation?
A: Intel AI Boost is the integrated Neural Processing Unit (NPU) in the Core Ultra 9 285K. 13 TOPS (Tera Operations Per Second) is its inference throughput — it offloads lightweight AI inference tasks from the CPU and GPU, enabling concurrent AI workloads without degrading primary application performance.
Q: How fast is the storage in the BN5K6UT#ABA?
A: The workstation includes a 1TB M.2 PCIe NVMe Gen 4x4 TLC SSD. Gen 4x4 drives typically deliver sequential read speeds above 7,000 MB/s — substantially faster than Gen 3 NVMe or SATA SSD alternatives.
Q: Is the BN5K6UT#ABA a configure-to-order unit or a stocked configuration?
A: It is an HP SmartBuy fixed-configuration SKU, meaning it is stocked by commercial distributors and does not require a build-to-order lead time.
Q: What are the physical dimensions and weight of the BN5K6UT#ABA?
A: The Z2 Tower G1i measures 12.00 × 23.23 × 20.00 inches and weighs 18 lb, making it a standard tower-format workstation suitable for under-desk or workstation cabinet deployment.
The detail that stands out on the BN5K6UT#ABA is the combination of the Core Ultra 9 285K's 24-core architecture with the dedicated 13 TOPS NPU — that's not a marketing stack, it's a meaningful architecture decision for deployments running concurrent AI inference and high-density video decode. Most workstations in this price tier force you to choose between CPU-bound analytics and GPU-bound rendering; the NPU offload means you don't have to make that trade on lighter inference tasks.
Technical Highlights:
- Core Ultra 9 285K at 5.70 GHz boost: 24 cores with a 5.70 GHz peak gives you real single-thread headroom for latency-sensitive VMS operations — timeline scrubbing, live forensic playback, and real-time alarm response all benefit from high clock speed, not just core count.
- NVIDIA Quadro RTX 4000: Professional-class GPU with ISV-validated driver stacks — relevant when your VMS or analytics platform specifically certifies Quadro rather than GeForce. For multi-monitor forensic operator workstations this is the right GPU tier, not a consumer gaming card.
- 1TB PCIe NVMe Gen 4x4 SSD: Gen 4x4 sequential performance (typically 7,000+ MB/s reads) means large forensic video segments load fast from local cache — a real difference in investigation workflows versus older SATA-class or Gen 3 NVMe storage.
Deployment Considerations:
- At 18 lb and 12 × 23.23 × 20 in, this is a full tower — verify workstation bay or under-desk clearance before deploying in tight security operations center furniture. It is not rack-mountable without a third-party tower-to-rack adapter shelf.
- The 13 TOPS NPU is suited for lightweight concurrent inference; if your analytics platform runs large transformer models or deep learning pipelines requiring 50+ TOPS, the RTX 4000's CUDA cores will carry that load — factor GPU VRAM limits into your model sizing before deployment.
This configuration is a strong fit for mid-market physical security operations centers deploying a VMS client workstation with GPU-accelerated analytics — particularly where an ISV-certified Quadro GPU is a software vendor requirement and the site lacks rack infrastructure for a server-class deployment.
