What is the iHPC100 designed for? + The iHPC100 is a tower GPU workstation designed for high-performance edge AI, machine vision, deep learning, industrial automation, and other compute-intensive applications requiring powerful CPU and GPU acceleration.
What processors does the iHPC100 support? + The iHPC100 supports Intel® Core™ Processors (Series 2) as well as 14th, 13th, and 12th Gen Intel® Core™ processors with an LGA1700 socket and up to 125W TDP, providing scalable computing performance for demanding AI and industrial workloads.
What GPU expansion capabilities does the iHPC100 provide? + The iHPC100 features two PCIe Gen 5 x16 slots for full-size GPU cards and supports Intel® Arc™ Graphics, providing powerful acceleration for high-performance edge AI and graphics-intensive applications. It also supports the OpenVINO™ Toolkit for optimized AI inference.
What memory and storage options are available in the iHPC100? + The iHPC100 supports up to 128GB of DDR4-3200 ECC/non-ECC memory, four SATA 3.0 interfaces with RAID 0/1/5/10, and one NVMe M.2 Key M 2280 slot. It also provides multiple 5.25-inch, 3.5-inch, and 2.5-inch drive bays for large-capacity data storage.
What expansion options does the iHPC100 offer? + In addition to dual PCIe Gen 5 x16 slots, the iHPC100 provides three open-ended PCIe x4 slots, one PCI Express Mini Card slot, and two 32-bit PCI slots, offering flexible expansion for AI accelerators, frame grabbers, networking cards, and other industrial peripherals.
What power and reliability features does the iHPC100 provide? + The iHPC100 supports a 750W ATX power supply or optional 750W redundant ATX PSU for full-size GPU configurations. Its heavy-duty steel construction, 12 cm PWM cooling fan, and door lock design help ensure reliable operation and protect internal components.
Why is the iHPC100 suitable for edge AI and industrial applications? + The iHPC100 combines Intel® Core™ processing, dual PCIe Gen 5 GPU expansion, Intel® Arc™ Graphics and OpenVINO™ support, large memory and storage capacity, and extensive expansion options, making it well suited for high-performance edge AI, machine vision, industrial automation, and other compute-intensive workloads.