Lenovo
SKU: 30HH0080US
Overview
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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 Lenovo ThinkStation P8 (30HH004BUS) is a tower workstation built around AMD's Threadripper PRO 7975WX — a 32-core, 64-thread processor with a 5.3 GHz boost clock and 128 MB of L3 cache. This configuration pairs that CPU with 128 GB of DDR5-4800 RAM, an NVIDIA RTX 5000 Ada Generation GPU with 32 GB of VRAM, and a 4 TB PCIe Gen4 M.2 NVMe SSD. It ships with Windows 11 Pro 64-bit and includes a 3-Year Premier Next Business Day on-site warranty. For professional workstations handling GPU-accelerated compute, AI inferencing, or multi-stream video analysis, this configuration sits at the high end of what a single-socket tower can deliver.
The 30HH004BUS is positioned for integration into professional computing environments where both CPU thread count and GPU VRAM are simultaneously constrained resources. The PCIe expansion architecture on the Threadripper PRO sTR5 platform supports multi-GPU configurations and high-bandwidth add-in cards. For security and surveillance applications, this workstation-class hardware handles demanding VMS server roles — running GPU-accelerated analytics across many camera streams simultaneously — that exceed what entry NVR appliances can process. The DDR5 memory subsystem and Gen4 NVMe storage also make this a fit for AI-assisted video analytics software that benefits from fast model loading and large in-memory frame buffers.
Connectivity via PCIe, USB, and Ethernet means it integrates with standard enterprise rack and desktop environments without proprietary cabling. The Opal-compliant SSD supports software-defined encryption management tools common in enterprise IT environments. For teams evaluating the broader Lenovo workstation line, this configuration represents the high-core-count, high-VRAM tier of the ThinkStation P8 family — distinct from lower-core or NVIDIA A-series GPU configurations in the same platform.
Q: What processor does the Lenovo ThinkStation P8 30HH004BUS use?
A: It uses the AMD Ryzen Threadripper PRO 7975WX — a 32-core, 64-thread processor on the Socket sTR5 platform, with a 5.3 GHz boost clock and 128 MB of L3 cache.
Q: How much RAM does the 30HH004BUS ship with, and can it be expanded?
A: It ships with 128 GB of DDR5-4800 SDRAM installed as 4 x 32 GB modules across an 8-slot DIMM board. The platform supports up to 1 TB maximum installed memory, leaving four slots open for future expansion without replacing existing modules.
Q: What GPU is included in this configuration?
A: The NVIDIA RTX 5000 Ada Generation with 32 GB of VRAM. This GPU uses the Ada Lovelace architecture with dedicated hardware tensor and ray-tracing cores, relevant for AI inferencing, GPU-accelerated analytics, and professional visualization workloads.
Q: What storage does the 30HH004BUS include?
A: A single 4 TB M.2 2280 PCIe Gen4 Performance TLC SSD with Opal (hardware encryption) support. Gen4 NVMe delivers approximately double the sequential throughput of Gen3, and the Opal spec enables hardware-level data-at-rest encryption.
Q: What warranty is included?
A: A 3-Year Premier Next Business Day on-site warranty is included. This covers on-site technician dispatch the next business day following a confirmed hardware fault — verify that your site location is within the covered service area.
Q: What operating system does it ship with?
A: Windows 11 Pro 64-bit — a full commercial license that includes BitLocker encryption, Hyper-V, Remote Desktop host capability, and domain join support.

The 30HH004BUS sits at the intersection of high core count and high GPU VRAM — 32 cores at 5.3 GHz boost paired with 32 GB of Ada-generation GPU memory is a combination you don't see on mainstream workstations, and it's what makes this configuration relevant for GPU-accelerated AI analytics or dense VMS deployments rather than general office compute.
Technical Highlights:
Deployment Considerations:
This configuration is well-matched to a GPU-accelerated VMS analytics server role — handling deep learning inference across 20–50+ camera streams simultaneously — or as a primary workstation for engineering teams running CUDA-based simulation or large 3D scene rendering where 32 GB of VRAM eliminates out-of-core rendering bottlenecks.
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