Enfabrica Shows Off the Industry’s First Multi-Terabit SuperNIC for AI Networks at AI Field Day
Sulagna Saha covered Enfabrica’s presentation at AI Field Day, introducing the industry’s first multi-terabit SuperNIC designed for AI networks. This groundbreaking technology aims to drastically enhance network performance and efficiency, essential for handling intense AI workloads. Saha’s report delves into the technical specifics and potential impact of the SuperNIC, highlighting its significance in advancing AI infrastructure. Read more in this article on Techstrong AI.
Read More:
Enfabrica Shows Off the Industry's First Multi-Terabit SuperNIC for AI Networks at AI Field Day
Data Infrastructure Is A Lot More Than Storage
The rise of AI and the importance of data to modern businesses has driven us too recognize that data matters, not storage. This episode of the Tech Field Day podcast focuses on AI data infrastructure and features Camberley Bates, Andy Banta, David Klee, and host Stephen Foskett, all of whom will be attending our AI Data Infrastructure Field Day this week. We’ve known for decades that storage solutions must provide the right access method for applications, not just performance, capacity, and reliability. Today’s enterprise storage solutions have specialized data services and interfaces to enable AI workloads, even as capacity has been driven beyond what we’ve seen in the past. Power and cooling is another critical element, since AI systems are optimized to make the most of expensive GPUs and accelerators. AI also requires extensive preparation and organization of data as well as traceability and records of metadata for compliance and reproducibility. Another question is interfaces, with modern storage turning to object stores or even vector database interfaces rather than traditional block and file. AI is driving a profound transformation of storage and data.
Read More:
Data Infrastructure Is A Lot More Than Storage
Nokia’s Event-Driven Automation (EDA): Driving human error zero
Andy Lapteff offers a look at Nokia’s Event-Driven Automation (EDA) technology, positing it as a transformative solution aimed at reducing human errors to zero in network operations. He explores how EDA leverages real-time data and sophisticated algorithms to automate tasks, thus significantly enhancing efficiency and reliability. Lapteff’s discussion underscores the potential of EDA to revolutionize the industry by enabling more proactive and predictive operational models. Read more in this LinkedIn Pulse article inspired by the Networking Field Day Exclusive event with Nokia.
Read More:
Nokia’s Event-Driven Automation (EDA): Driving human error zero
Networking Field Day and Nokia’s EDA
At the recent Networking Field Day event, Nokia unveiled its Enhanced Data Analytics (EDA) platform, a cutting-edge solution designed to streamline network operations and enhance data analysis capabilities. By integrating advanced AI and machine learning technologies, Nokia’s EDA platform aims to provide deeper insights into network performance, improve fault detection, and optimize network configurations for efficiency. This innovation underscores Nokia’s commitment to leading the evolution of network technology and empowering businesses with the tools necessary for future-ready network management. Read more in this LinkedIn Pulse article written by Scott Robohn.
Read More:
Networking Field Day and Nokia's EDA
Massively scalable, highly available, applications at the edge with Avassa
Alastair Cooke considers the significance of deploying applications at the edge, emphasizing the necessity for massive scalability and high availability provided by Avassa’s platform. He highlights how Avassa facilitates the management of applications directly at the edge, enhancing performance and resilience. Cooke’s analysis showcases the potential benefits in operational efficiency and user experience improvements in distributed computing environments. Read more in this LinkedIn Pulse article inspired by Avassa’s Edge Field Day 3 presentation.
Read More:
Massively scalable, highly available, applications at the edge with Avassa
Using AI To Connect Business Workflows
In this LinkedIn Pulse article, Stephen Foskett explores how artificial intelligence (AI) is revolutionizing the integration of business workflows. He highlights the pivotal role of AI in enhancing communication and automating processes, thereby facilitating more effective and streamlined operations across various industries. Foskett underscores the significance of strategically implementing AI technologies to achieve greater operational efficiency and adaptability in today’s competitive business landscape. This insight was inspired by a briefing with Appian and the recent Integrail presentation at AI Field Day 5.
Read More:
Using AI To Connect Business Workflows
Integrail Launches No-Code Platform for Building Agentic AI for Complex Workflows
Sulagna Saha reports that Integrail has introduced a new no-code platform that enables the construction of agentic AI designed to optimize complex workflows. This innovative solution seeks to empower users by allowing them to create and deploy AI agents without the need for deep programming knowledge. The platform aims to enhance productivity and streamline various business processes, setting a new benchmark in workflow automation. Read more in this Techstrong AI article following Integrail’s presentation at AI Field Day 5.
Read More:
Integrail Launches No-Code Platform for Building Agentic AI for Complex Workflows
GitOps at the VMware Software Defined Edge
Alastair Cooke highlights the integration of GitOps practices at VMware’s Software Defined Edge, focusing on enhancing operational efficiency and deployability. By leveraging GitOps, VMware aims to streamline the management of edge computing resources, ensuring more consistent, secure, and automated deployments. The approach underscores the company’s commitment to adopting modern development practices to optimize and secure edge computing environments. Read more in this LinkedIn Pulse article by Alastair Cooke following VMware’s presentation at AI Field Day 5.
Read More:
GitOps at the VMware Software Defined Edge
Techstrong Gang – September 24, 2024
In a recent appearance on Techstrong Gang, our own Stephen Foskett discussed the latest developments in edge solutions following Edge Field Day. The event featured VMware, Avassa, Tsecond, Zededa, and OnLogic showcasing their innovations in edge computing. VMware’s new platform, Avassa’s orchestration, Tsecond’s rugged storage, Zededa’s scalability, and OnLogic’s edge servers demonstrated the diversity of edge solutions. For more insights, check out Stephen Foskett discussing the event on Techstrong Gang with Alan Shimel, Mitch Ashley, and the rest of the gang!
Read More:
Techstrong Gang - September 24, 2024
Exploring the Importance of Data Infrastructure at AI Data Infrastructure Field Day 1
At next week’s AI Data Infrastructure Field Day, our panel of delegates will explore the critical role of robust data architectures in powering AI applications. Tune in Wednesday and Thursday as we learn about the latest data infrastructure solutions from Solidigm, Google Cloud, Pure Storage, HPE, MinIO, and Infinidat. The sessions will be live-streamed on LinkedIn and Techstrong TV and posted to YouTube afterward.
Read More:
Exploring the Importance of Solid Data Infrastructure at AI Data Infrastructure Field Day 1
OnLogic: Shaking Up Edge Computing from the Green Mountains
OnLogic is at the forefront of innovating edge computing solutions, right from the scenic Green Mountains. Their expertise lies in designing robust, customizable hardware tailored to withstand the unique demands of edge computing environments. By combining durability with cutting-edge technology, OnLogic empowers businesses across various industries to achieve seamless operational efficiency and reliability. Read more in this LinkedIn Pulse article by Ivan McPhee following OnLogic’s presentation at Edge Field Day 3.
Read More:
OnLogic: Shaking Up Edge Computing from the Green Mountains
Avassa: Edge Computing Solutions for “That Guy” and Everyone Else
Avassa is at the forefront of transforming edge computing by tailoring solutions not just for niche experts but for every level of user, empowering both “That Guy” and the broader audience to manage and deploy applications seamlessly. Their innovative approach simplifies complex processes, ensuring scalability and robust performance across various industries seeking edge solutions. By focusing on user-friendly interfaces and powerful backend integrations, Avassa is making edge computing accessible and efficient for everyone. Read more in this LinkedIn Pulse article by Ivan McPhee following Avassa’s presentation at Edge Field Day 3.
Read More:
Avassa: Edge Computing Solutions for “That Guy” and Everyone Else
Tsecond Delivers Bryck AI for AI Inferencing at the Edge
Allyson Klein has recently shared an update on Tsecond’s launch of Bryck AI, highlighting its specialization in AI inferencing at the edge. This innovative tool is designed to enhance real-time data processing capabilities across various applications, from IoT devices to autonomous vehicles. By leveraging Bryck AI, businesses can achieve faster decision-making and improved efficiency, pivotal for competitive edge in technology-driven markets. Read more in this article, inspired by the Tsecond presentation at Edge Field Day 3.
Read More:
TSecond Delivers Bryck AI for AI Inferencing at the Edge
Tsecond: Big Data, Small Package
Tsecond, founded in 2020, is redefining data management through its flagship product, the BRYCK, a mobile storage and computing solution that boasts up to 1 petabyte of data capacity. Housed in a compact and durable frame, the BRYCK is specifically engineered for extensive data capture, transportation, and AI processing in edge environments, positioning it as an essential tool across diverse sectors such as aerospace, defense, media, and industrial IoT. With variations like BRYCK AI, crafted explicitly for AI tasks, Tsecond addresses major hurdles in data handling efficiency. However, the true test of the BRYCK’s potential lies in its performance under real-world operational conditions, where its innovative design aims to prove crucial. Read more in this LinkedIn Pulse article by Ivan McPhee following Tsecond’s presentation at Edge Field Day 3.
Read More:
Tsecond: Big Data, Small Package
Journey to the Far Edge
Jon Hildebrand reflects on the challenge of designing data centers for edge environments, which are far more unpredictable than traditional data centers. Drawing from personal experience, he discusses how they managed factors like cooling, power, and network connectivity, but also encountered unforeseen issues like vibrations from the trailer’s movement that led to structural problems. These challenges highlight the need for specialized equipment, such as those from OnLogic, a company that produces rugged, industrial-grade computers designed for extreme environments. Read more in this LinkedIn Pulse article following OnLogic’s presentation at Edge Field Day 3.
Read More:
Arista Networks Unifies Management of Compute and Network Fabrics With EOS-Based AI Agent
In this Techstrong AI article, Sulagna Saha provides insights into Arista Networks’ latest innovation, a unified management system for compute and network fabrics, powered by an EOS-based AI agent. This new development allows for simplified operations and enhanced efficiency by integrating AI into their Extensible Operating System (EOS). The article highlights Arista’s strategic advancement in network technology aiming to streamline network and compute operations across various platforms and follows Arista’s presentation at AI Field Day 5.
Read More:
Arista Networks Unifies Management of Compute and Network Fabrics With EOS-Based AI Agent
OnLogic – Driving Rugged Infrastructure at the Edge
At OnLogic, Allyson Klein oversees initiatives focused on driving the deployment of rugged, reliable infrastructure specifically designed for edge computing environments. Her role involves ensuring that hardware not only meets the rigorous demands of edge computing but also supports the vast array of IoT and industrial applications dependent on this technology. Through her leadership, OnLogic aims to enhance operational efficiency and enable innovative solutions at the edge, optimizing performance across diverse industry sectors. Read more in this article, inspired by the OnLogic presentation at Edge Field Day 3.
Read More:
OnLogic – Driving Rugged Infrastructure at the Edge
OnLogic Edge Compute Meets GXC Private Cellular at EFD3
At Edge Field Day, OnLogic showcased its robust edge computing hardware integrated with GXC’s private cellular technology. This collaboration signifies a pivotal evolution in delivering secure, reliable connectivity and processing power to edge locations, critical for IoT and industrial applications. Highlighting technological advancements, this partnership paves the way for enhanced data management and operational efficiency in complex network environments. Read more in this article by Mark Houtz, following OnLogic’s presentation at Edge Field Day 3.
Read More:
OnLogic Edge Compute Meets GXC Private Cellular at EFD3
Keysight Joins the AI Fray With Evaluation and Benchmarking Platform for AI/ML Infrastructure
Sulagna Saha recently reported on Keysight Technologies stepping into the AI arena with a new platform aimed at evaluating and benchmarking AI/ML infrastructure. This innovative tool is designed to help enterprises assess the performance and efficiency of their AI workloads effectively. Keysight’s entry into this space signifies an important development for organizations looking to optimize their AI-driven applications and services. Read more in this Techstrong AI post, inspired by the Keysight presentation at AI Field Day 5.
Read More:
Keysight Joins the AI Fray With Evaluation and Benchmarking Platform for AI/ML Infrastructure
TSecond Throws AI Brycks at the Edge at EFD3
Mark Houtz recently attended the Tsecond presentation at Edge Field Day 3 focusing on their application of AI at the edge. In this article he discussed the complexities and challenges of deploying robust AI technologies in edge environments but highlighted how TSecond’s new solutions are effectively addressing these issues. Houtz’s article underscores the potential of edge AI to transform data processing and analytics in real-time applications, setting a new benchmark in the industry.
Read More:
