Ensuring Reliable Server Connectivity for Data Centers
Servers are the backbone of data centers, hosting applications, and managing data storage, processing, and distribution across networks. They play a critical role in maintaining the reliability and performance of digital services by handling user requests and managing workloads efficiently.
At Taoglas, we offer a comprehensive range of commercial off-the-shelf (COTS) antennas, both embedded and external, along with high-performance cables, connectors, and other RF components tailored for Servers. With a commitment to reliability and quality, Taoglas delivers the trusted solutions you need to maintain seamless, secure connectivity.
Explore our portfolio at the following links:
Embedded Antennas
External Antennas
Magnetics
Cables
Connectors
Audio
Design and Test Services from Taoglas
Taoglas offers a wide range of antenna design and testing services that will help you optimize your RF and antenna performance. Taoglas' world class engineers will use their expertise to perform the required services for several radio technologies. Along with our comprehensive portfolio of antennas, our design and testing services have helped design and bring to market thousands of M2M and IoT solutions worldwide since 2004.
Quality & Certifications:
• CMMC Level 2 Ready
• IPC-A-610, IPC-A-620S
• ITAR Registered with DDTC
• CTPAT (application in progress)
• ROHS, REACH compliance
• IATF-16949 (Factory & CM)
• ISO9001, ISO14001, ISO27001
Service List
| ISA.10 – Initial System Review and Analysis | CSA.30 – Cellular OTA TRP Testing | GSA.40 – GNSS Field Testing |
| CSA.10 – Antenna Feasibility Study | CSA.31 – Cellular OTA TIS Testing | ISA.12 – PCB & Gerber Design Review |
| CSA.20 – Passive Antenna Testing, Matching & Fine Tuning | CSA.70 – Failure Mode Mitigation | CSA.52 – mmWave Design |
| CSA.50 – Custom Antenna Design | GSA.30 – GPS Acquisition & Tracking Sensitivity |
OTHER APPLICATION AREAS
Trusted connectivity in mission-critical applications
Artificial Intelligence
Connected Cites / Data Centers
Storage
Machine Learning
