HP Inc BN5M4UT#ABA HP SmartBuy Z2 SFF G1I Workstation Desktop PC Intel Core Ultra 9 285K (3.20 GHZ

HP Inc BN5M4UT#ABA Z2 Small Form Factor G1i Workstation Desktop PC

Overview

The HP Inc BN5M4UT#ABA is a small form factor workstation built around Intel's 15th-generation Core Ultra 9 285K — a 24-core, 24-thread processor that runs at 3.20 GHz base with boost headroom to 5.70 GHz. Positioned as a SmartBuy configuration, it ships with 32GB of memory, a 1TB M.2 PCIe NVMe 4x4 TLC SSD, and an NVIDIA Quadro RTX A100 GPU, making it a capable platform for compute-intensive security workloads, VMS server roles, forensic video review stations, or AI-assisted analytics edge processing. The compact Z2 SFF chassis keeps the footprint manageable — 7.70 x 19.50 x 15.60 inches and 13.35 lb — so it can live on a rack shelf, in a control room, or under a desk without occupying a tower footprint.

Key Features

• Intel Core Ultra 9 285K (24 Cores / 5.70 GHz Boost): The hybrid architecture splits 8 Performance cores and 16 Efficient cores across a 36MB Smart Cache. Burst workloads — decoding simultaneous high-resolution camera streams or running deep-learning inference — hit the P-cores hard while the E-cores handle background tasks without starving the primary workload. The 5.70 GHz single-core boost matters for latency-sensitive VMS operations.
• Intel AI Boost NPU (up to 13 TOPS) + 36 TOPS System Total: The on-die Neural Processing Unit offloads AI inference tasks from both CPU and GPU, freeing the Quadro RTX A100 for rendering and the CPU for application logic. If your VMS or video analytics platform exposes NPU acceleration (Windows Studio Effects, vendor AI SDKs), this reduces frame-processing latency without adding a dedicated inference card.
• NVIDIA Quadro RTX A100: A professional-grade GPU rather than a consumer gaming card — driver certification with professional applications (Milestone, Genetec, Avigilon, Adobe workflows) and ECC memory support where applicable. Relevant for operators running GPU-accelerated decoding across large camera counts or leveraging CUDA-based analytics pipelines.
• 1TB M.2 PCIe NVMe 4x4 TLC SSD: PCIe Gen 4 x4 bandwidth means read/write throughput that won't bottleneck simultaneous video ingest and playback. A 1TB boot/OS drive is appropriate for the OS and application layer; plan external or network storage for long-term video retention — this isn't a standalone NVR.
• 32GB System Memory: Sufficient headroom for running a full VMS server instance, multiple analytics engines, and OS overhead simultaneously. Tight deployments running Milestone XProtect Corporate or Genetec Security Center with large camera counts may want to verify RAM expandability for future growth.
• Small Form Factor Chassis (7.70 x 19.50 x 15.60 in / 13.35 lb): The Z2 SFF is meaningfully smaller than a tower workstation, fitting on a rack shelf or in a credenza. That said, it is not rack-native — verify your rack tray or mounting solution before deployment in a structured cabling environment.
• LGA 1851 (Socket V1) Platform: The 15th-gen Intel platform (Arrow Lake) gives you a current-generation foundation with associated chipset I/O, PCIe lane availability, and DDR5 memory support — relevant for longevity in a 5–7 year workstation lifecycle.
• 125W Base / 250W Maximum Turbo Power: Under sustained load the processor alone can draw up to 250W. Factor total system draw — GPU, storage, memory — when sizing UPS or rack PDU capacity for a control room installation. A purpose-sized UPS is not optional in 24/7 security operations.

Integration and Compatibility

As a Windows-platform workstation (confirm OS license with your order), the BN5M4UT#ABA is compatible with the major enterprise VMS platforms that publish Windows x64 system requirements — Milestone XProtect, Genetec Security Center, Avigilon Control Center, Hanwha Wisenet WAVE, and Axis Camera Station among others. GPU-accelerated decoding availability depends on the VMS version and codec; verify your platform's NVIDIA Quadro support matrix before specifying this as a dedicated decode server. The Intel AI Boost NPU is accessible via Windows 11's NPU API surface and vendor-specific SDKs — not all VMS platforms expose this path yet, so treat it as forward-looking capability rather than a day-one operational feature for most deployments. For environments running PoE network infrastructure, this workstation functions as the central management and recording node, not a PoE source. Plan your camera network separately.

Frequently Asked Questions

Q: What GPU does the BN5M4UT#ABA include?

A: The BN5M4UT#ABA ships with an NVIDIA Quadro RTX A100 — a professional-grade GPU suited for GPU-accelerated video decoding, CUDA-based analytics workloads, and certified driver support with enterprise VMS platforms.

Q: Is the 1TB SSD sufficient for video storage?

A: The 1TB NVMe SSD is appropriate for the operating system, VMS application, and short-term buffer. For multi-camera, long-retention deployments you will need supplemental network-attached or direct-attached storage. This machine is a workstation, not a purpose-built NVR.

Q: What is the processor in the BN5M4UT#ABA?

A: It uses the Intel Core Ultra 9 285K — a 24-core (8 Performance + 16 Efficient), 24-thread 15th-generation processor with a 3.20 GHz base clock, 5.70 GHz single-core boost, and 36MB Smart Cache on the LGA 1851 platform.

Q: What does the Intel AI Boost NPU contribute in a security deployment?

A: The Intel AI Boost NPU delivers up to 13 TOPS of dedicated inference performance, offloading AI tasks from the CPU and GPU. Combined with the CPU and GPU, total system AI performance reaches up to 36 TOPS. Practical benefit depends on whether your VMS or analytics software exposes NPU acceleration — currently a growing but not universal capability.

Q: What are the physical dimensions and weight?

A: The Z2 SFF chassis measures 7.70 x 19.50 x 15.60 inches and weighs 13.35 lb. It is compact enough for a rack shelf or under-desk placement but is not a rack-mountable unit without a third-party tray.

Q: How much power does the BN5M4UT#ABA draw?

A: The Intel Core Ultra 9 285K has a 125W base processor power with a maximum turbo power of 250W. Total system draw under full load — accounting for the Quadro RTX A100, memory, and SSD — will exceed 250W. Size your UPS and PDU circuit accordingly for 24/7 operations.

James Everett

The BN5M4UT#ABA is the configuration I'd specify for a mid-to-large VMS server role where you need serious CPU muscle and a professional GPU in a space-constrained control room. The Core Ultra 9 285K's hybrid 24-core design — 8 P-cores pushing to 5.70 GHz and 16 E-cores at up to 4.6 GHz — handles the concurrent decode, analytics inference, and OS overhead that would saturate a conventional 8-core workstation by camera 40.

Technical Highlights:

• 36MB Smart Cache + 24 Cores: More last-level cache than most workstations in this class — reduces memory round-trips during simultaneous multi-stream decode, which is exactly the pattern a busy VMS server exhibits during incident review while still recording.
• Intel AI Boost (13 TOPS NPU): The dedicated neural engine means AI inference workloads don't have to compete with the Quadro RTX A100 for compute. On platforms that expose NPU acceleration, this can cut per-frame inference latency noticeably versus routing everything through the GPU.
• NVIDIA Quadro RTX A100 GPU: Professional certification matters here — consumer GPUs sometimes have driver instability under sustained 24/7 VMS decode loads. Quadro-class cards are validated for this kind of continuous operation, and the RTX A100 supports CUDA-based analytics pipelines that several major VMS vendors now ship.

Deployment Considerations:

• The processor's maximum turbo power is 250W — before adding the Quadro RTX A100, memory, and NVMe drive. Full-system draw under sustained load will land well above 300W total. In a control room with a shared UPS, this needs to be in the load calculation, not an afterthought.
• The 1TB NVMe drive is fast but not large — PCIe Gen 4 x4 bandwidth is fine for the OS and application, but any deployment expecting more than a few days of on-box retention needs a separate storage plan from day one. Don't let the spec sheet's SSD entry lead a client to assume this is an all-in-one recorder.

This machine fits best as a dedicated VMS management and decode server in a 50–150 camera enterprise deployment — think a regional distribution center, a mid-size hospital, or a multi-floor corporate campus where the control room has a proper rack enclosure and a UPS already on the circuit.