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Сomponents and Peripherals
AI Accelerator and AI Edge Computing Modules
Industrial Displays and Monitors
Industrial SSD and Flash Disks
Industrial RAM
KVM Consoles
Industrial Power Supplies
Industrial Computer Chassis
Industrial Keyboards
M.2 and Mini-PCIe Expansion modules
Industrial Backplanes
Industrial Video capture cards
Сomponents and Peripherals
AI Accelerator and AI Edge Computing Modules
Industrial Displays and Monitors
Industrial SSD and Flash Disks
Industrial RAM
KVM Consoles
Industrial Power Supplies
Industrial Computer Chassis
Industrial Keyboards
M.2 and Mini-PCIe Expansion modules
Industrial Backplanes
Industrial Video capture cards
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Recommended
AETINA
MX2000B-VAA-A1
MXM GPU Module, NVIDIA RTX PRO 2000 Blackwell, 952/1657MHz Base/Boost, CUDA 3328-Cores, Tensor 104-Cores, RT 26-Cores, 8GB GDDR7 VRAM (128-bit), 7680x4320 Max. Res., Up to 3xDP, PCIe 4.0 x8, MXM 3.1 Type-A, TDP 45W
AETINA
MX2000B-VAA-A2
MXM GPU Module, NVIDIA RTX PRO 2000 Blackwell, 1522/2070MHz Base/Boost, CUDA 3328-Cores, Tensor 104-Cores, RT 26-Cores, 8GB GDDR7 VRAM (128-bit), 7680x4320 Max. Res., Up to 3xDP, PCIe 4.0 x8, MXM 3.1 Type-A, TDP 60W
AETINA
MX5000B-XAA-A1
MXM GPU Module, NVIDIA RTX PRO 5000 Blackwell, 1095/1740MHz Base/Boost, CUDA 10496-Cores, Tensor 320-Cores, RT 80-Cores, 24GB GDDR7 VRAM (256-bit), 7680x4320 Max. Res., Up to 4xDP, PCIe 4.0 x16, MXM 3.1 Type-B, TDP 95W
AETINA
MX5000B-XAA-A2
MXM GPU Module, NVIDIA RTX PRO 5000 Blackwell, 1402/1935MHz Base/Boost, CUDA 10496-Cores, Tensor 320-Cores, RT 80-Cores, 24GB GDDR7 VRAM (256-bit), 7680x4320 Max. Res., Up to 4xDP, PCIe 4.0 x16, MXM 3.1 Type-B, TDP 115W
AETINA
MX500B-QAA-A1
MXM GPU Module, NVIDIA RTX PRO 500 Blackwell, 1350/1792MHz Base/Boost, CUDA 1792-Cores, Tensor 56-Cores, RT 14-Cores, 6GB GDDR7 VRAM (96-bit), 7680x4320 Max. Res., Up to 3xDP, PCIe 4.0 x8, MXM 3.1 Type-A, TDP 35W
AETINA
MX500B-QAA-A2
MXM GPU Module, NVIDIA RTX PRO 500 Blackwell, 2160/2565MHz Base/Boost, CUDA 1792-Cores, Tensor 56-Cores, RT 14-Cores, 6GB GDDR7 VRAM (96-bit), 7680x4320 Max. Res., Up to 3xDP, PCIe 4.0 x8, MXM 3.1 Type-A, TDP 60W
AETINA
MX4000B-WAA-A1
MXM GPU Module, NVIDIA RTX PRO 4000 Blackwell, 975/1695MHz Base/Boost, CUDA 7680-Cores, Tensor 240-Cores, RT 60-Cores, 16GB GDDR7 VRAM (256-bit), 7680x4320 Max. Res., Up to 4xDP, PCIe 4.0 x16, MXM 3.1 Type-B, TDP 80W
AETINA
MX4000B-WAA-A2
MXM GPU Module, NVIDIA RTX PRO 4000 Blackwell, 1545/2197MHz Base/Boost, CUDA 7680-Cores, Tensor 240-Cores, RT 60-Cores, 16GB GDDR7 VRAM (256-bit), 7680x4320 Max. Res., Up to 4xDP, PCIe 4.0 x16, MXM 3.1 Type-B, TDP 115W
InnoDisk
EXMU-X261-00A1-C1
FPGA Machine Vision Solution Kit, 1xHDMI 1.4, 1xRJ45 GbE LAN, 4xUSB 3.1, 5xGPIO, 1xUART, 2xCANbus, 1xI2C, 1xMicroSD, 1xUSB Type-C, 12VDC-in, 0...+70C
InnoDisk
EXMU-X261-00A1-W1
FPGA Machine Vision Solution Kit, 1xHDMI 1.4, 1xRJ45 GbE LAN, 4xUSB 3.1, 5xGPIO, 1xUART, 2xCANbus, 1xI2C, 1xMicroSD, 1xUSB Type-C, 12VDC-in, -40...+75C
NEXCOM
AIBooster-X8
Accelerator Card with 8x Intel Movidius VPU Myriad-X 2485, 4 TOPS, CPUs 2x LEON 4 cores, 4Gb per VPU LPDDR4(Total 32GB), PCI Express x4 3.0, Ubuntu 16.04, Windows 10 Enterprise, M/JPEG 4K at 60Hz encoder, H.264/H.265 4K at 30Hz encoder
Advantech
VEGA-330-01A1
Deep learning inference accelerating miniPCle card with 1xlntel Movidius Myriad X MA2485 VPU, miniPCle interface, compatibility Windows 10 x64, Ubuntu 16.04, CentOS 7.4, OpenVINO R2 2019 or latest, 30x50.95x4.86mm, power 3.8W, -20~60C
Advantech
VEGA-330-02A1
Deep learning inference accelerating miniPCle card with 2xlntel Movidius Myriad X MA2485 VPU, miniPCle interface, compatibility Windows 10 x64, Ubuntu 16.04, CentOS 7.4, OpenVINO R2 2019 or latest, 30x50.95x4.86mm, power 7.6W, -20~60C
Advantech
VEGA-320-01A1
Deep learning inference accelerating M.2 2230 (A+E) card with 1xlntel Movidius Myriad X MA2485 VPU, M.2 interface, compatibility Windows 10 x64, Ubuntu 16.04, CentOS 7.4, OpenVINO R2 2019 or latest, 22x30x3.63mm, power 3.8W, -20~60C
Advantech
VEGA-340-04A1
Deep learning inference accelerating PClex4 card with 4xlntel Movidius Myriad X MA2485 VPU, PClex4 interface, compatibility Windows 10 x64, Ubuntu 18.04, OpenVINO R2 2019 or latest, 171.07x68.9mm, power 16.8W, 6-pin connector for 12VDC, fan, -20~60C
Advantech
VEGA-340-08A1
Deep learning inference accelerating PClex4 card with 8xlntel Movidius Myriad X MA2485 VPU, PClex4 interface, compatibility Windows 10 x64, Ubuntu 18.04, OpenVINO R2 2019 or latest, 171.07x68.9mm, power 28W, 6-pin connector for 12VDC, fan, -20~60C
IEI
Mustang-200-i5-1T/32G
Computing Accelerator Card supports Two Intel Core i5-7267U with Intel 600P 1TB (512GB x2) SSD, 32GB (8GB x4) DDR4, PCIe x4 interface, QTS-Lite, and RoHS
IEI
Mustang-200-i7-1T/32G
Computing Accelerator Card supports Two Intel Core i7-7567U with Intel 600P 1TB (512GB x2) SSD, 32GB (8GB x4) DDR4, PCIe x4 interface, QTS-Lite, and RoHS
IEI
Mustang-200-C-8G
Computing Accelerator Card supports Two Intel Celeron 3865U with , 8GB (2GB x4) DDR4, PCIe x4 interface, QTS-Lite, and RoHS
IEI
Mustang-T100-T5
PCIe Highest Performance Accelerator Card with 5 x Coral edge TPU, PCI Express Gen2 x4, -20~55 Operating temperature