What is Wavelength Division Multiplexing (WDM)?
Wavelength Division Multiplexing, or WDM is a way of increasing bandwidth in fibre optic networks by allowing for multiple transmissions over a single fibre. This is a simple and cost-effective...
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ATGBICS® SKUs are equivalent to the OEM SKU suffixed with ‘-C’ to denote a 100% compatible version of the OEM product. Fully Tested, Lifetime Warranty, Conforms To ALL Industry Standards.
Wavelength Division Multiplexing, or WDM is a way of increasing bandwidth in fibre optic networks by allowing for multiple transmissions over a single fibre. This is a simple and cost-effective...
InfiniBand is a high-performance network protocol designed for applications requiring rapid data transfer and minimal latency, such as data centres and high-performance computing (HPC) clusters. Offering speeds from 10Gbps to...
There are 2 types of QSFP 200G technology, QSFP56 and QSFP-DD. This article shines the spotlight on 200G QSFP Technology with an explanation of the different types of technology available.
COB (Chip on Board) and BOX (Airtight Package) are two types of primary packaging technology in fibre optic transceivers. One solution can be advantageous over the other dependant on use...
Effective heat dissipation design plays an instrumental role in the optimal operation of ATGBICS optical transceivers.
ATGBICS Universally Coded MSA Compliant Network Transceivers are specifically designed for use in ‘open standard’ platforms that do not have specific firmware coding requirements for compatibility with a particular brand...
We are frequently asked the question “what does the suffix ‘-C’ mean in our part numbers?”. Simply put, ‘-C’ denotes that our product is a guaranteed 100% compatible version of...
Certificates of Conformity for our product category can be confusing. With so many part numbers available, it is impossible to create a unique certificate for every individual SKU we sell.
The exponential growth in data centre traffic driven by cloud computing, Artificial Intelligence, Machine Learning and GPU-based systems has led to unprecedented increases in machine-to-machine traffic.