C&T Introduces The RCO-6000-CFL Series AI Edge Inference Computer!
The RCO-6000-CFL Series is C&T's most intelligent, expandable, and configurable AI Rugged Computers. They are powerfully engineered and designed to meet the diverse demands of industrial AI applications. In addition, unlike other edge computers on the market, our hardware solutions are proven to bring an entirely new approach to performance acceleration at the edge.
Combined with our top-notch engineering design and environmental ruggedization, C&T's AI Edge Inference Computers ensure enterprise reliability and deployment flexibility with a new two-piece configurable module design – EDGEBoost Nodes . EDGEBoost Nodes allows next-level industrial customization that leverages ultra-fast 5G Dual-SIM module, high-capacity NVMe SSD storages, and robust GPUs expansion.
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Industry 4.0 is driving the need for more intelligence at the rugged edge. Businesses and organizations want better access to real-time insights that can enable better business results. Especially with the convergence of the latest technologies in compute, storage, and wireless connectivity working in tandem, industrial computing designers need to evaluate the best design benefits and hardware requirements for reliable, low-latency performance.
Now Modular. The Best of Both Worlds
Top Module: RCO-6000-CFL Fanless Industrial Computer
The RCO-6000-CFL Fanless Industrial Computer Series bring vigorous performance to rigorous settings in tis proven ruggedized design. As the building blog and host for the modular EDGEBoost nodes, this industrial edge computer delivers blazing fast multi-core performance, future-ready storage technology, and rapid 5G connectivity for more reliable, efficient data telemetry at the edge.
Check Out The RCO-6000-CFL Product Features
Introducing C&T's EDGEBoost Nodes For Rugged Edge Computing
C&T's EDGEBoost Nodes are highly configurable and meet the demands for the most complex applications that require data processing, storage, and inference analysis. These modular EDGEBoost Nodes consolidate the latest performance accelerations technologies into scalable hardware nodes that enable machine learning and automation at the rugged edge.
The RCO-6000-CFL Series incorporates advanced performance thanks to the inclusions of Intel 9th Generation Core Processors, GPU support, and the availability of hot-swappable NVMe SSD storage. Powerful CPUs combined with powerful GPUs and ultra- fast NVMe SSD storage provide organizations with low latency data processing and the ability to run complex inference analysis in challenging settings.
The new two-piece modular design of the RCO-6000-CFL Series allows organizations to boost the performance of the industrial computer for machine learning and deep learning inference analysis. EDGEBoost Nodes easily attach to the lower portion of the RCO-6000-CFL Series , offering hardware acceleration for edge-level workloads that require data acquisition for real-time insights.
EDGEBoost nodes enhance the inferencing capabilities of the RCO-6000-CFL Series by providing additional high-capacity, high-speed NVMe SSD storage and GPU performance acceleration for edge application deployments. In addition, NVMe SSD support and PCIe Gen 3 connectivity efficiently feed integrated CPUs and GPUs with volumes of data, enabling more reflexive inference analysis at the edge.
EDGEBoost nodes are highly configurable performance boosters designed to meet the demand for complex applications that require powerful data processing, high-speed data storage, and inference capabilities at the edge. EDGEBoost nodes attach to the lower portion of the RCO-6000-CFL Series, providing NVMe storage and GPU acceleration for complex edge workloads. EDGEBoost Nodes bring the latest technologies into hardware reality and offer new possibilities for machine learning and intelligent automation for the edge. Here are the three different EDGEBoost Nodes C&T offers:
EDGEBoost Node #1 RCO-6000-CFL-4N-2060S AI Edge Inference Computer
The first EDGEBoost node attaches to a base RCO-6000-CFL Series and adds a hot-swappable NVMe SSD canister, capable of being populated with up to 4x lockable and hot-swappable 2.5” U.2 NVMe SSDs in 7mm height. The EDGEBoost node also adds PCIe expansion slots, enabling organizations and system integrators to add an Nvidia 2060 Super GPU for inference acceleration.
Adding NVMe SSD storage to edge computing solutions results in more reflexive AI inferencing capabilities since NVMe SSD storage via PCIe Gen 3 offers significantly lower latency than SATA SSDs. Additionally, this EDGEBoost Node can be configured with a graphics processing unit, enabling GPU acceleration. GPUs are capable of accelerating AI workloads, such as machine learning inferencing and deep learning inferencing, because GPUs are capable of processing significantly more data in parallel than merely relying on the CPU to process data.
EDGEBoost Node #2 RCO-6000-CFL-4NH AI Edge Inference Computer
The second EDGEBoost Node focuses on ultra-high-speed NVMe storage but supports NVMe SSD storage media in 2.5” U.2 15mm form factors for higher capacities. In addition, this specific EDGEBoost Node offers x4 lockable and hot-swappable NVMe SSDs configurable in hardware RAID options in 0,1,5, and 10.
The second EDGEBoost Node offers reflexive AI inferencing capabilities and adds dense NVMe SSD storage for organizations with applications requiring high capacity and ultra-high-speed SSD storage. For example, autonomous vehicle and ADAS development applications require Terabytes of SSD storage to store high-resolution camera footage and sensor data so that such data can be used at a later time to train autonomous vehicles and advanced driver assistance system algorithms.
EDGEBoost Node #3 RCO-6000-CFL-8NS AI Edge Inference Computer
The third EDGEBoost node focuses on ultra-high-speed NVMe Storage. It offers users the ability to add up to 8x lockable and hot-swappable 2.5” U.2 NVMe SSDs in 7mm height via two hot-swappable NVMe SSD canister bricks. The canister design allows organizations to quickly and easily remove all SSDs from the system to offload mission-critical data onto a central computer system. This allows for an easy and efficient way to transfer data from the edge into a location with resources reserved for training machine learning and deep learning models.
For applications that require the most amount of high-speed NVMe Storage, the third EDGEBoost Node is ideal as it can be configured with up to 8 NVMe SSDs, offering high capacity, ultra-high-speed solid-state storage at the rugged edge.
Ordering information and stocking processors models can be found on C&T's product website ( RCO-6000 -CFL Series ).
For more information about C&T's entire portfolio of industrial computers and other embedded IoT solutions please visit www.candtsolution.com or email info@candtsolution .com to learn more. Are you ready for the wave of rugged edge computing?