#edge-computing

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#artificial-intelligence

The future of edge AI: Dye-sensitized solar cell-based synaptic device

A novel PRC device mimics human synaptic behavior for improved efficiency in edge AI processing, enabling advancements in time-series data handling.

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.

Laser-based artificial neuron mimics nerve cell functions at lightning speed

The development of a laser-based artificial neuron offers significant advancements in speed and efficiency for artificial intelligence and computing.

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.

The future of edge AI: Dye-sensitized solar cell-based synaptic device

A novel PRC device mimics human synaptic behavior for improved efficiency in edge AI processing, enabling advancements in time-series data handling.

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.

Laser-based artificial neuron mimics nerve cell functions at lightning speed

The development of a laser-based artificial neuron offers significant advancements in speed and efficiency for artificial intelligence and computing.

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.
moreartificial-intelligence
#generative-ai

NVIDIA Unveils Jetson Orin Nano Generative AI Supercomputer

NVIDIA's Jetson Orin Nano Super Developer Kit significantly enhances generative AI performance for edge applications, making advanced AI capabilities more accessible.

Generative AI tool is deployed aboard the International Space Station

Generative AI tool successfully deployed in space by Booz Allen Hamilton.

Mistral releases new AI models optimized for edge devices | TechCrunch

Mistral launched 'Les Ministraux', generative AI models for edge devices, focusing on privacy-first applications and efficient, low-latency solutions.

NVIDIA Unveils Jetson Orin Nano Generative AI Supercomputer

NVIDIA's Jetson Orin Nano Super Developer Kit significantly enhances generative AI performance for edge applications, making advanced AI capabilities more accessible.

Generative AI tool is deployed aboard the International Space Station

Generative AI tool successfully deployed in space by Booz Allen Hamilton.

Mistral releases new AI models optimized for edge devices | TechCrunch

Mistral launched 'Les Ministraux', generative AI models for edge devices, focusing on privacy-first applications and efficient, low-latency solutions.
moregenerative-ai

Nokia claims European 5G cloud RAN and standalone mmWave firsts | Computer Weekly

Nokia secures two 5G deployments in Europe, showcasing diverse applications of its technology with Elisa in Finland and EOLO in Italy.
#data-management

Windows Server IoT 2025 is all about that speed

Windows Server IoT 2025 enhances performance and speed for edge computing, supporting AI workloads and improving peripheral management capabilities.

StorMagic SvSAN 6.3 review: Flawless highly available storage at the edge

Businesses are turning to edge data processing due to rapid data generation, making software-defined storage (SDS) solutions like StorMagic's SvSAN appealing for distributed IT operations.

Windows Server IoT 2025 is all about that speed

Windows Server IoT 2025 enhances performance and speed for edge computing, supporting AI workloads and improving peripheral management capabilities.

StorMagic SvSAN 6.3 review: Flawless highly available storage at the edge

Businesses are turning to edge data processing due to rapid data generation, making software-defined storage (SDS) solutions like StorMagic's SvSAN appealing for distributed IT operations.
moredata-management
#ai

Observability Predictions 2024 | TechRepublic

AI will bring an explosion of productivity and make observability more essential
Edge computing will introduce new challenges for businesses

AI Changes Big and Small Computing

AI's computing power will drive the growth of gigawatt-scale data centers, impacting infrastructure and market economics.

Nexa AI Unveils Omnivision: A Compact Vision-Language Model for Edge AI

Omnivision is a compact vision-language model for edge devices, reducing image tokens and improving efficiency without compromising accuracy.

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

AI Changes Big and Small Computing

AI's computing power will drive the growth of gigawatt-scale data centers, impacting infrastructure and market economics.

Nexa AI Unveils Omnivision: A Compact Vision-Language Model for Edge AI

Omnivision is a compact vision-language model for edge devices, reducing image tokens and improving efficiency without compromising accuracy.

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.
moreai

Gaining timely insights with AI inferencing at the edge

The shift to edge computing is reshaping IT infrastructure strategies with significant growth anticipated in server deployment at edge locations.

Edge Computing: Use Cases and Best Practices | TechRepublic

Edge computing reduces latency and downtime by bringing data processing closer to users.
Device edge and router edge are key classifications of edge computing technology.
#ai-inference

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.
moreai-inference

Red Hat Device Edge 4.17 processes workloads in near real-time

Red Hat's Device Edge platform upgrade improves processing speed for time-sensitive workloads, enabling real-time responses necessary for critical applications.
#hpe-proliant

HPE sharpens edge computing with ProLiant DL145 Gen11 server | Computer Weekly

HPE's ProLiant DL145 Gen11 server enhances edge computing by offering high performance and efficiency for diverse business environments.

HPE ProLiant DL145 Gen11 review: HPE pushes EPYC power to the network edge

HPE ProLiant DL145 Gen11 enhances edge computing by delivering significant processing power in a compact and robust design.

HPE sharpens edge computing with ProLiant DL145 Gen11 server | Computer Weekly

HPE's ProLiant DL145 Gen11 server enhances edge computing by offering high performance and efficiency for diverse business environments.

HPE ProLiant DL145 Gen11 review: HPE pushes EPYC power to the network edge

HPE ProLiant DL145 Gen11 enhances edge computing by delivering significant processing power in a compact and robust design.
morehpe-proliant

Broadcom juices VeloCloud SD-WAN for AI networking

Broadcom's VeloRAIN technology improves edge networking for AI applications by identifying encrypted traffic, enhancing service quality.
#it-infrastructure

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.

Talos Linux runs Kubernetes on bare metal and edge - Amazic

Physical servers remain crucial to computing, despite advances in cloud and serverless solutions.

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.

Talos Linux runs Kubernetes on bare metal and edge - Amazic

Physical servers remain crucial to computing, despite advances in cloud and serverless solutions.
moreit-infrastructure

How to unlock the power of personalization through edge computing | MarTech

Edge computing enhances personalization by allowing immediate, data-driven customer interactions, improving marketing effectiveness.

Looking to streamline IT transformation? Here's how.

Organizations can streamline IT operations by leveraging intelligent automation and cyber-resilient technologies.
#data-processing

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.

Securing the edge: A new battleground in mobile network security | Computer Weekly

The global edge computing market is growing rapidly, promising to revolutionize mobile networks across industries by enabling faster response times and more efficient data processing.

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.

Securing the edge: A new battleground in mobile network security | Computer Weekly

The global edge computing market is growing rapidly, promising to revolutionize mobile networks across industries by enabling faster response times and more efficient data processing.
moredata-processing
#iot

Lightbend aims to democratize distributed systems for developers | @lightbend

Lightbend simplifies distributed systems with low latency and scalability.
Lightbend focuses on enabling developers to quickly build systems regardless of their skill set.

Cloud architecture will fail you. Distributed app architecture will not. | @lightbend

Number of endpoints accessing applications doubled in 5 years
Cloud architecture ill-suited to handle increasing number of endpoints

The Edge: How Do I Know I've Found It? | HackerNoon

Edge computing presents growing vulnerabilities and an increasing risk of damages projected to exceed $10 trillion by 2024.

Lightbend aims to democratize distributed systems for developers | @lightbend

Lightbend simplifies distributed systems with low latency and scalability.
Lightbend focuses on enabling developers to quickly build systems regardless of their skill set.

Cloud architecture will fail you. Distributed app architecture will not. | @lightbend

Number of endpoints accessing applications doubled in 5 years
Cloud architecture ill-suited to handle increasing number of endpoints

The Edge: How Do I Know I've Found It? | HackerNoon

Edge computing presents growing vulnerabilities and an increasing risk of damages projected to exceed $10 trillion by 2024.
moreiot
#data-centers

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.

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.

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.

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.
moredata-centers

K3s vs Talos Linux

K3s and Talos Linux, specialized Kubernetes distributions, offer lightweight and secure solutions for different deployment needs.

Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing: Conclusion, and References | HackerNoon

LifeHD system enables continuous unsupervised learning on resource-constrained devices using Hyperdimensional Computing.
#technology-adoption

Dell Technologies World 2024: Bringing AI to the edge

Businesses shifting towards open ecosystems for AI and smaller models at the edge for more efficient operations.

Is Edge Computing Living Up to Its Promise in the Australian Market?

Edge computing promises fast real-time computing and cost efficiency.
Hybrid cloud approach recommended for future-ready edge computing adoption.

Dell Technologies World 2024: Bringing AI to the edge

Businesses shifting towards open ecosystems for AI and smaller models at the edge for more efficient operations.

Is Edge Computing Living Up to Its Promise in the Australian Market?

Edge computing promises fast real-time computing and cost efficiency.
Hybrid cloud approach recommended for future-ready edge computing adoption.
moretechnology-adoption

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.
#network-latency

Time to Extend DevOps Visibility to the Network Edge - DevOps.com

Performance issues post-deployment often stem from overlooked distributed nature of applications where end users' locations impact user experience.
Internet services' diverse quality and network latency issues based on distance from data centers heavily influence application performance.

Relational Data at the Edge

Edge computing is about running services close to clients geographically, reducing network latency and costs.
The edge is a relative metric where services closer to clients are considered more edgy.

Time to Extend DevOps Visibility to the Network Edge - DevOps.com

Performance issues post-deployment often stem from overlooked distributed nature of applications where end users' locations impact user experience.
Internet services' diverse quality and network latency issues based on distance from data centers heavily influence application performance.

Relational Data at the Edge

Edge computing is about running services close to clients geographically, reducing network latency and costs.
The edge is a relative metric where services closer to clients are considered more edgy.
morenetwork-latency

Relational Data at the Edge: How Cloudflare Operates Distributed PostgreSQL Clusters

Data storage at the edge reduces latency and improves performance.
Challenges of managing relational data at the edge include CAP constraints and replication lag.

AI to spark a boom in edge infrastructure spending

Edge computing crucial for AI deployment
Global spending on edge computing to reach $350 billion by 2027

Intel unveils platform for AI in virtual RAN

Intel announces edge platform, power management tool, and developer kit for AI models at MWC.
The Edge Platform offers cloud-like scalability, built-in AI support, and runs on existing hardware.

Dell Brings DevOps to Edge Computing Environments - DevOps.com

Dell updates NativeEdge with blueprints based on TOSCA framework for edge computing platforms.
Support for vTPM and UEFI Secure Boot added for applying zero-trust IT principles at the edge.

Akamai Launches Gecko Edge Computing Services - DevOps.com

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.
#security

Dell CTO: Enterprises will have GenAI in production in 2024

Generative AI, security, and edge computing are expected to be key concerns for CIOs in the coming year.
Enterprises are likely to move from experimenting with AI to implementing it in practical applications.

Confidential computing will emerge as a leading force says Talentica| App Developer Magazine

Confidential computing will emerge as a leading force in implementing the zero-trust paradigm.
There will be a shift beyond traditional Docker containers towards more efficient and universally deployable containers.
RISC-V will gain widespread acceptance as an open instruction architecture in IoT and edge computing applications.

Dell CTO: Enterprises will have GenAI in production in 2024

Generative AI, security, and edge computing are expected to be key concerns for CIOs in the coming year.
Enterprises are likely to move from experimenting with AI to implementing it in practical applications.

Confidential computing will emerge as a leading force says Talentica| App Developer Magazine

Confidential computing will emerge as a leading force in implementing the zero-trust paradigm.
There will be a shift beyond traditional Docker containers towards more efficient and universally deployable containers.
RISC-V will gain widespread acceptance as an open instruction architecture in IoT and edge computing applications.
moresecurity

No More ChatGPT? Here's Why Small Language Models Are Stealing the AI Spotlight | Entrepreneur

Small Language Models (SLMs) democratize AI for entrepreneurs by offering accessible, specialized, and efficient AI tools.
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