Edge Computing
Overview:
Edge computing is a distributed computing paradigm that brings data processing and storage closer to the data source or edge of the network, rather than relying on centralized cloud systems. This reduces latency and improves response times, which is critical for real-time applications such as IoT devices, autonomous vehicles, and industrial automation.
Unlike cloud computing, where data is sent to remote servers for processing, edge computing allows for immediate data analysis near the point of origin. This results in faster decision-making and minimizes bandwidth usage, as less data needs to travel back and forth between devices and the cloud.
Edge computing is widely adopted in industries such as healthcare, manufacturing, and telecommunications, where timely data processing is essential. It is also highly scalable, allowing organizations to deploy additional edge devices as their needs grow. Moreover, it enhances security by processing sensitive data locally, reducing the risk of data breaches during transmission.
Taetron’s edge computing solutions deliver the performance, scalability, and security needed for mission-critical applications. With our products, businesses can optimize their data infrastructure for faster, more efficient processing. We provide expert support to help with deployment, ensuring smooth integration into existing networks.
Below are listed all of Taetron’s edge computing products.
16GB Edge AI Computing Box with 6-Core ARM CPU, 21 TFLOPS GPU, 4K Encode/Decode - Taetron
High-performance edge AI box with 16GB RAM, 6-core ARM CPU, Volta GPU, and extensive I/O options for advanced edge computing.
Technical Specifications
| CPU | 6 core Camel ARM v8.2 64bit CPU, 1.9 GHz |
| GPU | Volta, 384 CUDA cores and 48 Tensor cores, 1.1 GHz, 21 TFLOPS (INT8) |
| Encode | 2 x 464 MP or sec (HEVC), 2x 4K at 30 (HEVC) 6x 1080p at 60 (HEVC), 14 x 1080p at 30 (HEVC) |
|
Decode | 2 x 690 MP or sec (HEVC), 2x 4K at 60 (HEVC), 4x 4K at 30 (HEVC) 12x 1080p at 60 (HEVC), 32x 1080p at 30 (HEVC), 16x 1080p at 30 (H.264) |
| Memory | 16GB 128bit LPDDR4, Bandwidth 59.7 GB or S, 1600 MHz |
| Extend | 2x MiniPCIE (USB single and PCIe single, either PCIe or ssd can be selected) |
4G Cellular IoT Router for Tunnel Remote Monitoring Modbus MQTT-Taetron
4G IoT router with Modbus/MQTT, 2 digital inputs, 2 outputs, 4 analog inputs, RS485/RS232 ports, and anti-reverse power protection. 9-57V DC input.
Technical Specifications
| Protocol | Modbus MQTT |
| Digital Inputs | 2 channel |
| Digital Output | 2 channel |
| Analog Input | 4 channel |
| Serial port | 1 RS485, 1 RS232 |
| Power protection | Anti-reverse connection Protection |
| Power input voltage | 57 to 9 V DC |
4G Edge Computing WIFI MQTT RS485 Wireless Smart Multifunction Gateway-Taetron
Compact industrial PC with Allwinner T507, 2GB LPDDR4, 8GB eMMC, 4G LTE, HDMI 4K, 4x LAN ports, and robust protection. Ideal for harsh environments.
Technical Specifications
| CPU | Allwinner T507 Quad core main frequency 1.5GHz |
| Memory | LPDDR4 2GB |
| Storage | 8G eMMC |
| USB host | 2 channel high speed USB HOST |
| Ethernet | 1 channel WAN port, 4 channel LAN port （10 or 100 or 1000Mbps self-adaptive） |
| WIFI | IEEE 802.11b or g or n |
| 4G | LTE Cat1 |
4G LTE IoT Edge Computing Gateway with ARM Cortex A7, 8GB eMMC & Versatile I/O-Taetron
4G LTE IoT edge gateway with ARM Cortex A7 CPU, 512MB RAM, 8GB eMMC, dual SIM slots, multiple I/O ports, and support for industrial protocols.
Technical Specifications
| RAM
| Up to 512MB
|
| CPU
| ARM Cortex to A7,800Mhz
|
| eMMC
| Up to 8G
|
| OS
| Linux
|
| Flash
| 8GB eMMC
|
| Power
| Input DC 12 to 48V |
4G LTE/3G/2G Indoor WiFi Router with 3dBi Antenna for Optimal Performance -Taetron
4G WiFi router with LTE speeds up to 150Mbps, 802.11n 300Mbps, internal/external antennas, and 32-device support for robust connectivity.
Technical Specifications
| Bands (Max) | FDD B1 or B2 or B3 or B4 or B5 or B7 or B8 or B20 to B28A to B28B or B66
TDD B34 or B38 or B39 or B40 or B41 TDS B34 or B39 WCDMA B1 or B2 or B4 or B5 or B8 GSM 850 or 900 or 1800 or 1900 (Optional) | |
| Data Rate | LTE FDD Max 150Mbps (DL) or Max 50Mbps (UL)
LTE TDD Max 130Mbps (DL) or Min35Mbps (UL) WCDMA Max21Mbps (DL) or Max 5.76Mbps (UL) TD-SCDMA Max 4.2Mbps (DL) or Max 2.2Mbps (UL) EDGE Max 236.8kbps (DL) or Max 118kbps (UL) GPRS Max 85.6kbps (DL) or Max 85.6kbps (UL) GSM Max 9.6kbps (DL) or Max 2.7kbps (UL) | |
4U High-Performance Dual AMD EPYC Server, 96-Core, 3TB DDR5, Up to 368TB Storage & GPU-Taetron
High-performance server with dual AMD EPYC 9004 CPUs, up to 96 cores each, 24 DDR5 DIMM slots (3TB max), and extensive storage options.
Technical Specifications
| Processor | 2 x AMD EPYC 4th Generation 9004 Series with up to 96 cores per processor |
| Memory | 24 DDR5 DIMM slots, supports RDIMM 3 TB max, speeds up to 4800 MT per s.
Supports registered ECC DDR5 DIMMs only
|
| Storage controllers | Internal Controllers (RAID): PERC H965i, PERC H755, PERC H755N, PERC H355, HBA355i
Internal Boot: Boot Optimized Storage Subsystem (BOSS-N1): HWRAID 2 x M.2 NVMe SSDs or USB External HBA (non-RAID): HBA355e Software RAID: S160 |
4U Server With Excellent Computing Capacity – Taetron
This 4U Server with Excellent Computing capacity high-performance rack-mount server with up to 4 intel xeon processors, 18tb memory, extensive storage options, and robust gpu support for enterprise needs.
Technical Specifications
| Specifications | 4U rack-mount server |
| Processor | Supports 2 or 4 third-generation Intel Xeon Scalable processors |
| Memory | RDIMM, LRDIMM, PMem200 series (BarlowPass) 48 memory slots Memory capacity supports up to 18TB |
| Storage | Front Supports 49 or 50 2.5-inch hard drives, optional support for 24 NVMe SSDs |
| I/O Expansion Slots | Supports up to 18 standard PCIe slots, with optional support for 4 double-width or 8 single-width GPU/graphics cards |
| Graphics Card | Supports 4 double-width or 8 single-width GPU professional graphics cards |
Advanced AI Edge Computing AGX Box with 32GB eMMC, Optional M.2 SSD, Dual and 4G -Taetron
AI edge computing AGX box with 32GB eMMC, optional M.2 SSD, 2xGigaLAN, WiFi, optional 4G, and fanless radiator. Runs on Ubuntu 18.04.
Technical Specifications
| Storage | 32GB eMMC + M.2 Nvme SSD(optional) |
| Adapter | DC 12V/ 60 W |
| OS | Ubuntu 18.04 (JP4.6) |
| Warranty | 2 Years |
| Network | 2xGigaLAN(RJ45) + WIFI + 4G(optional) |
| Radiator | Fin, without fan |
AI Edge Station with LPDDR4X Memory, and Advanced Video Encoding/Decoding-Taetron
AI Edge Station with Ascend 310 chip, 4-8GB LPDDR4X memory, HDMI, USB ports, and 2xGE RJ45. Supports H.264/H.265 encoding/decoding.
Technical Specifications
| AI Chip | Ascend 310 |
| AI Computing Power | AI Computing Power |
| Memory | 4 GB or 8 GB LPDDR4X, total bandwidth 51.2 Gbit/s |
| Encoding/Decoding Capability | H.264 hardware decoding, 16-channel 1080p 30 FPS (2-channel 3840 x 2160 at 60 FPS)
H.265 hardware decoding, 16-channel 1080p 30 FPS (2-channel 3840 x 2160 at 60 FPS) H.264 hardware encoding, 1-channel 1080p 30 FPS H.265 hardware encoding, 1-channel 1080p 30 FPS JPEG decoding 1080p 256 FPS, encoding 1080p 64 FPS, maximum resolution 8192 x 4320 PNG decoding 1080p 24 FPS, maximum resolution 4096 x 2160 |
AI Intelligent Computing Empowerment Platform with 32CH Video Decoding -Taetron
Innovative AI Intelligent Computing Platform featuring ARM Cortex-A55, 8GB RAM, 32GB storage, and advanced 32-channel 1080P video decoding.
Technical Specifications
| CPU | ARM Cortex-A55 OCT @1.6 GHZ |
| Algorithm | 100+ |
| Chipset | Hi Silicon |
| Memory | 8 Gbyte+ 32 Gbyte |
| Video decoding | 32 CH 1080P@30 fps H.265/H.264/MPEG-4 decoding |
| Supplier type | ODM, OEM |
AI Server Computer with Dual Xeon CPUs, 32 DDR4 Slots, and 2200W Redundant Power -Taetron
High-performance AI server featuring dual Xeon CPUs, 2200W redundant power supply, and extensive PCIe slots. Supports large-scale storage.
Technical Specifications
| CPU | Supports two Xeon Scalable first and second generation CPUs with LGA3647 socket.
Maximum support for 205W per CPU. Maximum support for 28 cores per CPU. |
| RAM | DDR4 ECC REG 16G 2666 X 4 |
| Power supply | 2200W (1+1) redundant power supply
|
| BMC | ASPEED AST2500 |
| Network chip | 1210-AT X 2 |
| RAM | Support for 16 memory
Up to 2TB Optane Persistent Memory 200 Series, DDR4-2666MHZ Up to 4TB 3DS ECC LRDIMM, DDR4-2933MHz Up to 4TB 3DS ECC RDIMM DDR4-2933MHz Up to 2TB Optane DC Persistent Memory in memory mode (Cascade Lake only). |
Artificial Edge Computing Smart IoT 2300 with RZ/G2L Cortex-A55 and DDR4 RAM -Taetron
Smart IoT 2300 for efficient data collection with RZ/G2L Cortex-A55 dual-core CPU, Mali-G31 GPU, and flexible DDR4 RAM options. Supports OpenCL2.0.
- Application is data collection
- Type WDYD
- Series WDYD
- CPU RZ/G2L Cortex-A55 dual-core 1.2 GHz Cortex-M33 200 MHz
Technical Specifications
| CPU | RZ /G2L Corte- A55 dual-core 1.2 GHz Cortex-M33 200 MHz |
| Ram | DDR4 512 MB/1 GB/2 GB/4 GB |
| GPU | Mali-G31 500 MHz support OpenCL2.0, OpenGL ES1.1/2.0/3.0/3.2 |
Automatic Reconnection Edge Gateway IP68 GNSS Bluetooth Data Filtering-Taetron
Edge gateway with IP68 protection, GNSS, Bluetooth range 100m, MQTT with SSL/TLS, and data filtering. Supports AWS/Azure and OTA updates.
Technical Specifications
| Bluetooth scanning range | 328 ft (100 m) or above |
| Battery | Rechargeable lithium battery for high temp resistance(optional) |
| Cloud service | AWS Azure etc |
| SDK | Supported (for data parsing in client server) |
| Software OTA | Supported |
| Configuration | Supported |
| Security Protocol | MQTT with SSL or TLS |
C8300-2N2S-4T2X Industrial Ethernet Router with 19.7 Gbps Throughput -Taetron
Industrial Ethernet router with 10/100/1000 Mbps speeds, 6 WAN ports, 19.7 Gbps IPv4 throughput, 8GB DRAM, and 8GB flash memory. 1-year warranty.
Technical Specifications
| Wired transferred rate | 10 Mbps /100 Mbps /1000 Mbps |
| Applications | Industrial |
| WAN ports | 6 |
| Warranty | 1 year |
| Condition | 100 % Original Brand |
| Ipv4 forwarding throughput | 19.7 Gbps |
| Default DRAM | 8 GB |
Compact Black IoT Android Gateway with RK 3568 Chipset, 12V-36V Power Range -Taetron
Efficient IoT gateway with RK 3568 chipset, compact 140x100x35 mm dimensions, and flexible 12V-36V power supply. Sleek black design for versatile use.
Technical Specifications
| Power supply | 12 V to 36 V |
| Application | IoT |
| chipset | RK 3568 |
| Dimensions | 140 mm x 100 mm x 35 mm |
| supplier type | NEWs |
Taetron’s products of Edge Computing are organized as follows:
Device Edges
Device edge, often referred to as edge computing or edge devices, represents a computing paradigm that brings computation and data storage closer to the location where it is needed, improving response times and saving bandwidth. In this model, data is processed by the device itself or by a local computer or server, rather than being transmitted to a centralized data center. This approach enhances the performance and reliability of applications that require real-time data processing.
Taetron’s Device edge solutions play a crucial role in various applications. In industrial IoT, they enable real-time monitoring and control of machinery, improving operational efficiency and reducing downtime. In smart cities, edge devices process data from sensors in real-time to manage traffic, optimize energy usage, and enhance public safety. In healthcare, they allow for the immediate analysis of patient data from wearable devices, facilitating timely medical interventions. Additionally, in retail, edge computing supports personalized customer experiences and efficient inventory management.
Alternative names for Device edge include edge computing, edge devices, and edge nodes. These terms highlight the proximity of computational resources to the data source, underscoring the benefits of reduced latency, increased security, and enhanced data processing capabilities at the network’s edge..
On-premises Edges
On-premises edge, also known as on-prem edge computing or local edge, refers to the deployment of edge computing resources within an organization’s own physical infrastructure. This approach enables data processing and storage to occur on-site, closer to where the data is generated, rather than relying on remote cloud data centers. On-premises edge solutions provide lower latency, enhanced security, and greater control over data and computational resources.
Taetron’s on-premises edge solutions offer significant benefits across various applications. In manufacturing, they facilitate real-time monitoring and control of production lines, leading to improved efficiency and reduced downtime. In healthcare, on-premises edge computing supports the rapid analysis of medical data from diagnostic devices, enhancing patient care through timely interventions. In retail environments, local edge solutions enable personalized customer experiences and efficient inventory management by processing data from point-of-sale systems and sensors in real-time. Additionally, in smart buildings, on-prem edge computing optimizes energy management, security systems, and overall building operations.
Alternative names for on-premises edge include local edge computing, on-site edge, and private edge. These terms emphasize the deployment of computational resources within an organization’s premises, highlighting the advantages of reduced latency, enhanced data privacy, and improved control over the IT infrastructure.
Data Center Edges
Data Center Edge, often referred to as edge data centers or micro data centers, represents a computing paradigm where smaller, distributed data centers are positioned closer to the end users and devices that generate and consume data. These edge facilities are designed to reduce latency and provide faster data processing, improving the performance and reliability of applications that require real-time or near-real-time interactions.
Taetron’s Data Center Edge solutions offer significant benefits across a range of applications. In telecommunications, edge data centers support 5G networks by providing local processing power for high-bandwidth, low-latency services such as augmented reality (AR) and virtual reality (VR). In retail, they enhance the customer experience by processing transactions and managing inventory in real-time, directly at the store location. In autonomous vehicles, edge data centers process vast amounts of sensor data locally, enabling faster decision-making and improving safety. Additionally, in smart cities, they facilitate real-time data processing for traffic management, public safety, and energy optimization.
Alternative names for Data Center Edge include edge computing data centers, edge facilities, and micro data centers. These terms highlight the deployment of computing resources closer to the source of data generation, emphasizing the benefits of reduced latency, improved data processing speed, and enhanced reliability for mission-critical applications.
Taetron Technologies is offering a comprehensive selection of Edge Computing. We have products in stock, and ship overnight to most parts of the U.S. and Canada. We provide 24/7 support. If you have any questions, our technical experts can help you.