Taiwan-based QNAP Systems has unveiled its latest product offering, the AI NAS TS-AI642, an innovative Network-Attached Storage (NAS) solution that is notable for its integration of artificial intelligence capabilities.
In the realm of IT, a NAS system conventionally serves as a centralized storage solution accessible over a network. QNAP’s TS-AI642, however, distinguishes itself by incorporating AI processing functionalities. Its core features an ARM 8-core processor equipped with a 6 TOPS NPU (Neural Processing Unit), specially designed to enhance AI-driven tasks like image recognition and smart surveillance applications.
QNAP’s TS-AI642 aligns with the growing trend of Edge AI, where processing tasks are executed closer to data sources. This particular NAS model is tailored to cater to the demands of small and medium-sized businesses (SMBs) that require both storage and AI capabilities without compromising power efficiency.
Earlier this year, QNAP established a strategic partnership with Hailo, an AI chip manufacturer. This collaboration led to the integration of Hailo’s technology into QNAP’s “QVR Face” facial recognition solution and “QVR Human” people counting system. As a result, QNAP gained the status of a distributor for Hailo-8 M.2 2280 B+M key modules, which significantly enhance the AI performance of QNAP’s surveillance servers.
The AI NAS TS-AI642 is also noteworthy for its ARM processor’s capabilities, which include the 64-bit ARM Cortex-A76 and Cortex-A55 cores. These enable swift AI image recognition, surveillance video analysis, and real-time analytics for tasks like facial recognition and people counting. With features like 2.5GbE connectivity, support for 10GbE through PCIe expansion, and compatibility with QNAP storage expansion units, the TS-AI642 offers scalability and versatility for evolving storage needs.
By amalgamating storage with AI capabilities, QNAP addresses the demand for efficient data management and AI-driven applications in an increasingly interconnected landscape. As technology continues to progress, solutions like the TS-AI642 could potentially play a pivotal role in various industries seeking robust storage and intelligent data processing.
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August 30, 2023 – by the FindBiometrics Editorial Team
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