CSC Energia Data Infrastructure designs and delivers micro-modular data centers, edge data centers, immersion liquid cooling, AI servers, liquid cooling switches, cold aisle containment, DCIM/EMS, ser...
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The encoder interface block converts signals received from QA, QB into its corresponding angle and speed. The block counts encoder edges till the angle_count_max_i value is attained and then starts
Even though the generic USB interface was good for modems, the generic physical layer interface that supports connectivity via long cables and so on can be optimized for better power and performance
... FCAE used in this paper is a multi-layered neural network with an input layer, multiple hidden layers and an output layer (see Figure 2).
There are two variants of chip-to-module CAUI-4; in CAUI-4r the signal is not RS-FEC encoded, and in CAUI-4f the signal is RS-FEC encoded. An electrical interface that is compliant to CAUI-4r would
Multiple, Simultaneous views of data sets with time correlation of data across multiple views. capture, triggering, and filtering.
Chip Interfaces digital IP cores seamlessly integrate into your projects, saving you time and resources. Full feature testing across multiple tape-outs guarantees rock-solid reliability and
The GPCU modules serve as the interface between the FDC 3G cardfile and the MicroLok® II interlocking controller. This module supports the latest Ethernet-based network topologies, thus
The standardized interfaces within the FACE Reference Architecture are the Operating System Segment Interface (OSS Interface), the Input/Output Services Interface (IOS Interface), the Transport Services
Our Fibre Channel products support most popular avionics Upper Layer protocols including FC-AE-ASM, FC-AE-1553, FC-AE-RDMA and FC-AE-AV. All AIT Fibre Channel modules utilize multiple
Our expertise in high-speed, mixed-signal circuits, system-on-a-chip integration and advanced product development processes ensures you will receive the silicon, support tools, software and technical
... FCAE used in this paper is a multi-layered neural network with an input layer, multiple hidden layers and an output layer (see Figure 2).
Prefabricated micro-modular data centers and edge pods, scalable from 5 to 50 racks, ready for 5G and edge AI workloads.
Single-phase immersion cooling tanks and direct-to-chip liquid cooling switches, achieving PUE below 1.1.
GPU-accelerated AI servers, high-density server racks, and network cabinets optimized for AI/ML workloads.
Real-time data center infrastructure management, plus overhead cable trays and fiber bridges for structured cabling.
We provide custom data center infrastructure solutions, from micro-modular DCs to immersion cooling and AI-ready racks.
From design to deployment, our team ensures energy-efficient, scalable, and carrier-grade digital infrastructure.
Al. Jerozolimskie 180, Entrance B, 02-486 Warsaw, Masovian Voivodeship, Poland
+48 571 392 846 | +48 571 392 846 | [email protected]