Lenovo ThinkStation P8 Workstation, AMD Ryzen Threadripper PRO 7995WX

The Lenovo ThinkStation P8 (30HH001MUS) is a tower workstation built around the AMD Ryzen Threadripper PRO 7995WX processor, a 96-core, 192-thread behemoth from AMD's Zen 4 architecture operating on the WRX90 platform. With a 5 nm process node, up to 5.1 GHz boost frequency, and a 350 W TDP, this processor delivers extraordinary multi-threaded throughput for workloads that demand parallelism at scale. The platform supports up to 2 TB of DDR5 ECC RDIMM memory across 12 memory slots, with memory bandwidth optimized for memory-intensive simulation, rendering, and data science pipelines.

The ThinkStation P8 accommodates enterprise-grade discrete graphics, supporting dual professional GPU configurations including NVIDIA RTX Ada Generation cards, making it suitable for GPU-accelerated AI model training, inferencing at the workstation tier, and real-time ray-traced visualization. The chassis provides extensive PCIe 5.0 expansion—including multiple full-length x16 slots—enabling high-bandwidth NVMe storage, AI accelerator cards, and high-speed networking add-ins simultaneously. Storage flexibility extends to multiple M.2 NVMe slots alongside 3.5-inch and 2.5-inch drive bays for large-capacity secondary storage, supporting workloads that operate on very large datasets locally.

Designed for ISV-certified professional environments, the ThinkStation P8 carries broad certification across leading engineering and scientific applications including Autodesk, Siemens, Dassault Systèmes, and Ansys software suites. The system ships with Windows 11 Pro for Workstations and is engineered to meet MIL-SPEC 810H durability standards. Its tool-less chassis design, redundant power supply option, and support for remote management via Lenovo Vantage Pro and standard IPMI interfaces make it a deployable asset within enterprise IT infrastructure without sacrificing the raw computational density demanded by simulation, AI development, and computational science teams.

Ideal for

• Large-scale finite element analysis (FEA) and computational fluid dynamics (CFD) simulations in aerospace, automotive, and structural engineering environments requiring extreme core counts
• On-premises AI and deep learning model development using GPU-accelerated frameworks such as PyTorch and TensorFlow, benefiting from high memory bandwidth and multi-GPU support
• High-resolution 3D rendering and real-time visualization for VFX studios and product design teams running Autodesk, Chaos V-Ray, or NVIDIA Omniverse pipelines
• Genomics, proteomics, and bioinformatics workloads requiring sustained multi-threaded processing across very large reference datasets held in local high-capacity ECC memory
• Electronic design automation (EDA) including logic simulation, place-and-route, and formal verification tasks that scale linearly with available CPU core count
• Seismic data processing and reservoir simulation in energy sector environments where local compute reduces dependency on HPC cluster access and cloud egress costs

Technical specifications

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