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Discover a Myriad of Intel-ligent AI Edge Vehicular Computing Options
For users in the transportation industry who want ...
AIBooster-X8-MXM
Intel® Movidius Myriad X VPU Deep Learning Accelerator MXM Module- Main Feature
- Eight Myriad X MA2485 VPU
- MXM form factor
- Total 32Gb LP-DDR4 SDRAM on chips
- Support OpenVINO™ toolkit
- M/JPEG 4K at 60Hz encoder
- H.264/H.265 4K at 30Hz encoder
- Low power consumption
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Datasheet(PDF)
| VPU Engine |
Eight Myriad X MA2485 VPU
Per VPU with - Up to 1 TOPS - 16 programmable 128-bit VLIW vector processors - CPUs 2x LEON 4 cores (RISC; SPARC V8) - On-chip accelerators 20+ image/vision processing accelerator Neural compute engine (DNN accelerator) - Neural network capability neural compute engine |
| Memory | Total 32Gb LP-DDR4 SDRAM on chips |
| Encoder | M/JPEG 4K at 60Hz encoder H.264/H.265 4K at 30Hz encoder |
| MXM (PCIe x4) | MXM (PCIe x4) |
| OS Support | Ubuntu 16.04.1/Kernel 4.10.0 Ubuntu 16.04.3/Kernel 4.14.20 Windows 10 Enterprise 64-bit |
| Feature Support | Intel® OpenVINO toolkit |
| Supported Network Topology | AlexNet, GoogleNet v1 & v2, Yolo Tiny* V1 & V2, Yolo V2, MobileNet-SSD, VGG-d , ResNet-18, Faster-RCNN |
| Dimensions | 113 x 82 mm |
| Power Consumption | < 50 W |
| Operating Temperature | -30°C to +85°C |
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