
QNAP MUSTANG-V100-MX8-R10 Intel Movidius VPU Accelerator Card
Accelerate Your AI Workloads with the QNAP Mustang-V100-MX8-R10 The QNAP Mustang-V100-MX8-R10 is an Intel Vision Accelerator Card designed to enhance AI edge computing. Equipped with eight Intel Movidius VPU units, this card delivers high-performance computing with low power consumption, making i...
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Overview
Accelerate Your AI Workloads with the QNAP Mustang-V100-MX8-R10
The QNAP Mustang-V100-MX8-R10 is an Intel Vision Accelerator Card designed to enhance AI edge computing. Equipped with eight Intel Movidius VPU units, this card delivers high-performance computing with low power consumption, making it perfect for demanding AI applications.
Specifications:
- Computing Accelerator: Yes
- VPUs: 8 x Intel Movidius Myriad X MA2485
- Interface: PCIe Gen2 x4
- Power Consumption: ~2.5W per VPU
- Form Factor: Half-height, Half-length, Single-slot
Key Features
Computing Accelerator card
Eight Intel Movidius Myriad X MA2485 VPU can execute eight topologies simultaneously
Low power consumption, approximate 2.5W for each Intel Movidius Myriad X VPU.
Supported OpenVINO toolkit, AI edge computing ready device.
Half-height, half-length, single-slot compact size.
PCI Express x4
Specifications
Pros & Cons
👍 Pros
- Features eight Intel Movidius Myriad X MA2485 VPUs, enabling simultaneous execution of eight AI topologies.
- Designed with low power consumption, requiring approximately 2.5W for each individual Intel Movidius Myriad X VPU.
- Offers a compact form factor, being a half-height, half-length, single-slot PCI Express x4 card.
- Supports the OpenVINO toolkit, positioning it as an AI edge computing ready device for development.
- Functions as a dedicated computing accelerator card, enhancing AI processing capabilities.
👎 Cons
- The card's specific application is tailored for AI acceleration, which may not be suitable for general-purpose computing tasks.
- Requires a PCI Express x4 slot for installation, which might not be available in all computing systems.
- Detailed performance benchmarks or specific throughput capabilities for the VPUs are not provided.
- The power consumption is listed per VPU, but the total power consumption for all eight VPUs is not explicitly stated.
- The product details do not specify the operating system compatibility beyond mentioning OpenVINO toolkit support.