
QNAP MUSTANG-F100-A10-R10 Intel Vision Accelerator Card
Accelerate Your Vision with QNAP Mustang-F100-A10-R10 The QNAP Mustang-F100-A10-R10 is a high-performance computing accelerator card designed to enhance AI inference capabilities. Equipped with an Intel Arria 10 FPGA, this card delivers exceptional processing power for a wide range of application...
*Price sourced from Amazon.com. Last updated:Jun 04, 2026.Price and availability are subject to change.
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Overview
Accelerate Your Vision with QNAP Mustang-F100-A10-R10
The QNAP Mustang-F100-A10-R10 is a high-performance computing accelerator card designed to enhance AI inference capabilities. Equipped with an Intel Arria 10 FPGA, this card delivers exceptional processing power for a wide range of applications, from machine learning to video analytics.
Specifications:
- Accelerator Card: Computing Accelerator Card
- FPGA: Intel Arria 10 GX1150 FPGA
- RAM: 8GB DDR4
- Interface: PCI Express x8
- Power Consumption: Less than 60W
- Operating System Support: Ubuntu, CentOS, Windows, QTS
Key Features
Computing Accelerator Card
Intel Arria 10 GX1150 FPGA
Supports Ubunto, CentOS, Windows, and QTS
8GB DDR4 RAM
PCI Express x8
Less than 60W Power Consumption
Specifications
Pros & Cons
👍 Pros
- Features an Intel Arria 10 GX1150 FPGA, providing powerful acceleration for complex computations
- Equipped with 8GB DDR4 RAM, allowing for efficient data processing alongside the FPGA
- Designed as a PCI Express x8 card, ensuring high-bandwidth connectivity with compatible systems
- Consumes less than 60W of power, making it an energy-efficient option for computing acceleration
- Supports a wide range of operating systems including Ubuntu, CentOS, Windows, and QTS for broad compatibility
👎 Cons
- The specific performance benchmarks or real-world acceleration improvements are not detailed
- Requires a system with a PCI Express x8 slot, limiting compatibility with systems without this specific slot type
- Does not include any integrated display outputs, as it is purely a computing accelerator card
- Information on cooling solutions or thermal management for sustained operation is not explicitly provided
- The full extent of developer tools or software support for utilizing the FPGA is not specified