Server manufacturers ramp-up edge AI efforts | Computer Weekly
AI inference is becoming crucial for server manufacturers as they adapt to edge computing and cloud workloads, addressing data sovereignty and latency concerns.
Efficient Resource Management with Small Language Models (SLMs) in Edge Computing
Small Language Models (SLMs) enable AI inference on edge devices without overwhelming resource limitations.
Supermicro crams 18 GPUs into a 3U box
Supermicro's SYS-322GB-NR efficiently accommodates 18 GPUs in a compact design for edge AI and visualization tasks.
Server manufacturers ramp-up edge AI efforts | Computer Weekly
AI inference is becoming crucial for server manufacturers as they adapt to edge computing and cloud workloads, addressing data sovereignty and latency concerns.
Efficient Resource Management with Small Language Models (SLMs) in Edge Computing
Small Language Models (SLMs) enable AI inference on edge devices without overwhelming resource limitations.
Supermicro crams 18 GPUs into a 3U box
Supermicro's SYS-322GB-NR efficiently accommodates 18 GPUs in a compact design for edge AI and visualization tasks.
AI's computing power will drive the growth of gigawatt-scale data centers, impacting infrastructure and market economics.
Run you own Kubernetes or a cloud instance in a physical box with Nodegrid - Amazic
The integration of software and hardware can enhance the resilience of data centers and edge devices.
How data centers and edge devices have evolved over the years - Amazic
The evolution from centralized data centers to cloud and edge computing reflects the need for increased scalability, flexibility, and performance in IT infrastructure.
Living on the Edge: Boosting Your Site's Performance with Edge Computing
- The edge refers to data centers that are located outside of availability zones, and edge functions are functions that run on these data centers.
- Data on the edge refers to cached and stored data, as well as accessing data on these data centers.
AI Changes Big and Small Computing
AI's computing power will drive the growth of gigawatt-scale data centers, impacting infrastructure and market economics.
Run you own Kubernetes or a cloud instance in a physical box with Nodegrid - Amazic
The integration of software and hardware can enhance the resilience of data centers and edge devices.
How data centers and edge devices have evolved over the years - Amazic
The evolution from centralized data centers to cloud and edge computing reflects the need for increased scalability, flexibility, and performance in IT infrastructure.
Living on the Edge: Boosting Your Site's Performance with Edge Computing
- The edge refers to data centers that are located outside of availability zones, and edge functions are functions that run on these data centers.
- Data on the edge refers to cached and stored data, as well as accessing data on these data centers.
Tokyo University of Science sets pace in neural networks on edge IoT | Computer Weekly
The breakthrough in binarised neural network technology could significantly enhance the efficiency and capabilities of IoT edge devices, enabling smarter applications.
NXP boosts edge AI IoT | Computer Weekly
NXP Semiconductors is advancing AI deployment on edge devices with enhanced tools like eIQ Toolkit and GenAI Flow for improved efficiency and usability.
Tokyo University of Science sets pace in neural networks on edge IoT | Computer Weekly
The breakthrough in binarised neural network technology could significantly enhance the efficiency and capabilities of IoT edge devices, enabling smarter applications.
NXP boosts edge AI IoT | Computer Weekly
NXP Semiconductors is advancing AI deployment on edge devices with enhanced tools like eIQ Toolkit and GenAI Flow for improved efficiency and usability.
Akka Edge: Shaping the Future of Industry with Edge Computing | @lightbend
Akka Edge is an enhancement to the Akka ecosystem specifically designed for edge computing.
Akka Edge enables developers to leverage Akka's capabilities in diverse environments without adding complexities typically associated with brokered systems.
Edge Computing vs. Cloud Computing: Which One is Right for Your Business?
Choosing between edge and cloud computing depends on specific business needs for data processing.
Edge computing is ideal for real-time processing and reduced latency, while cloud computing excels in flexibility and scaling.
Edge Computing Requires DevOps at Scale - DevOps.com
Edge computing drives IT convergence
Data processing at edge requires new storage approach
Multi-protocol storage enables modernization
IBM brings Power 10 servers to bear on AI edge deployments
IBM unveiled Power 10 servers for AI processing at the network edge, emphasizing high-threaded workloads and reduced latency by processing data on-site.
Quick Glossary: Edge Computing | TechRepublic
Edge computing is crucial for enhancing data processing efficiency by moving tasks closer to the data source.
AI drives explosion in edge computing
AI driving demand for edge computing infra
Edge computing bridges 5G and cloud services
Akka Edge: Shaping the Future of Industry with Edge Computing | @lightbend
Akka Edge is an enhancement to the Akka ecosystem specifically designed for edge computing.
Akka Edge enables developers to leverage Akka's capabilities in diverse environments without adding complexities typically associated with brokered systems.
Edge Computing vs. Cloud Computing: Which One is Right for Your Business?
Choosing between edge and cloud computing depends on specific business needs for data processing.
Edge computing is ideal for real-time processing and reduced latency, while cloud computing excels in flexibility and scaling.
Edge Computing Requires DevOps at Scale - DevOps.com
Edge computing drives IT convergence
Data processing at edge requires new storage approach
Multi-protocol storage enables modernization
IBM brings Power 10 servers to bear on AI edge deployments
IBM unveiled Power 10 servers for AI processing at the network edge, emphasizing high-threaded workloads and reduced latency by processing data on-site.
Quick Glossary: Edge Computing | TechRepublic
Edge computing is crucial for enhancing data processing efficiency by moving tasks closer to the data source.
AI will bring an explosion of productivity and make observability more essential
Edge computing will introduce new challenges for businesses
Researchers leveraging AI to train (robotic) dogs to respond to their masters
The international collaboration project aims to create a socially assistive robotic dog using edge intelligence, adapting to user characteristics for companionship, healthcare support, and rehabilitation.
Akamai extends its edge-computing platform as it looks to challenge AWS, Azure and GCP | TechCrunch
Akamai is launching its Gecko "Generalized Edge Compute" platform to increase its cloud-computing network worldwide.
The initiative focuses on bringing compute capacity close to users, reducing latency, and enabling new use cases like immersive retail and IoT.
Bloomberg
Infosys and Siemens have partnered to develop IIoT solutions for manufacturers
The solutions will leverage technologies like edge computing, AI, ML, and advanced analytics to optimize operations and improve equipment effectiveness.
Observability Predictions 2024 | TechRepublic
AI will bring an explosion of productivity and make observability more essential
Edge computing will introduce new challenges for businesses
Researchers leveraging AI to train (robotic) dogs to respond to their masters
The international collaboration project aims to create a socially assistive robotic dog using edge intelligence, adapting to user characteristics for companionship, healthcare support, and rehabilitation.
Akamai extends its edge-computing platform as it looks to challenge AWS, Azure and GCP | TechCrunch
Akamai is launching its Gecko "Generalized Edge Compute" platform to increase its cloud-computing network worldwide.
The initiative focuses on bringing compute capacity close to users, reducing latency, and enabling new use cases like immersive retail and IoT.
Bloomberg
Infosys and Siemens have partnered to develop IIoT solutions for manufacturers
The solutions will leverage technologies like edge computing, AI, ML, and advanced analytics to optimize operations and improve equipment effectiveness.
Akka 24.05 More Security. More Performance. More Efficiency. | @lightbend
Data security is a critical concern for companies moving to cloud and edge systems, necessitating the adoption of Zero Trust approaches like Akka 24.05 offers.
Enhancing Edge Computing with Federated Learning and AI
Decentralized model training and federated learning reshape privacy and efficiency in edge AI.
Integration of AI with 5G enhances capabilities of edge devices, enabling instantaneous processing and decision-making.
Akamai Technologies has launched a new initiative called Gecko that aims to simplify the management and deployment of application workloads on edge computing platforms.
The offering leverages Akamai's content delivery network (CDN) PoPs to deploy application workloads managed via the Linode cloud service.
Akamai aims to provide a federated set of services that allow IT organizations to process data in the most efficient way based on performance requirements.
Agile Methodologies for Edge Computing in IoT - DZone
Agile methodologies are well-suited for IoT projects due to their flexibility and ability to adapt to changing requirements.
Key Agile practices for IoT and edge computing include adaptive planning, evolutionary development, early delivery, and continuous improvement.
2024 Predictions for the Cloud Native Market | @lightbend
The lines between Cloud Computing and Edge Computing will continue to blur
More instances where the same applications will be deployed in both environments, enabling each of these architectures to adopt one another's best attributes.