In this LinkedIn Pulse article, Jack Poller considers the complexities of optimizing large-scale AI networks. He discusses various strategies and tools that can be employed to enhance the efficiency and performance of these sophisticated systems. Poller highlights the importance of a methodical approach, including fine-tuning data management and algorithm optimization, to handle the challenges posed by vast AI infrastructures. This article was inspired by Keysight’s presentation at AI Field Day 5.
VMware: Managing the Software Defined Edge
In this LinkedIn Pulse article, Ivan McPhee explores VMware’s strategies for managing the software-defined edge, emphasizing the evolution of edge computing and its increasing importance in IT infrastructure. He discusses VMware’s approach to streamlining edge operations, including advancements in automation and orchestration, which are crucial for enhancing performance and security at the edge. McPhee also highlights VMware’s collaboration with industry partners to expand their edge solutions, thereby enabling more efficient data processing and management across diverse environments. This article was inspired by VMware’s presentation at Edge Field Day 3.
ZEDEDA: Delivering Innovation at the Edge
ZEDEDA is at the forefront of driving innovation in edge computing, providing scalable solutions that empower businesses to seamlessly deploy and manage IoT edge devices and applications. In this article, Ivan McPhee discusses their edge platform, which ensures enhanced security, agility, and flexibility, enabling real-time insights and response capabilities across diverse industries. Read more in this LinkedIn Pulse article inspired by the ZEDEDA presentation at Edge Field Day 3.
VMware Edge Compute Stack at the Industrial Edge
Jim Davis writes about the transformative capabilities of VMware’s Edge Compute Stack, deployed at the industrial edge, elevating operational efficiency and data processing speed. This innovative solution is tailored for real-time decision-making in industrial environments, ensuring seamless integration and robust performance. Engage with the VMware Edge Compute Stack to enhance the reliability and agility of industrial operations, enabling smarter, more autonomous systems. Read more in this LinkedIn Pulse article inspired by the VMware presentation at Edge Field Day 3.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Can You Make Edge Computing at Scale Effortless?
This LinkedIn Pulse article by Jack Poller explores the potential of scaling edge computing effortlessly. He delves into the challenges associated with deployment, management, and security at the edge, considering the implications for large-scale operations. Poller also examines how advancements in automation and integrated technologies could simplify the process, making scalable edge computing more attainable for businesses. This article was written following ZEDEDA’s presentation at Edge Field Day 3.
Can You Gain Advantage With Software-defined Edge?
In this LinkedIn Pulse article, Jack Poller explores the strategic benefits of adopting software-defined edge computing as presented by VMware at Edge Field Day 3. He emphasizes how this approach enhances performance by reducing latency and allowing for more efficient data processing closer to the source of data generation. Poller also discusses the potential for software-defined edge to provide businesses with a competitive edge by improving responsiveness and enabling more sophisticated data-driven decision-making.
Hyperscale AI networks with Arista at AI Field Day
Arista Networks highlighted the need for enhanced network infrastructures at AI Field Day, focusing on the challenges of supporting complex AI models with higher bandwidth and lower power consumption. They introduced innovative solutions like Distributed Etherlink Switches to manage congestion and low-power optics to boost bandwidth, aimed at large-scale AI networks prevalent in heavy GPU environments. Additionally, Arista showcased their Cloud Vision management system, which leverages AI to simplify network operations, proving their dedication to evolving network technologies in accordance with the growing demands of AI workloads. Read more in this LinkedIn Pulse article by Alastair Cooke, who attended the Arista presentation at AI Field Day 5.
Arista Highlights the Power of AI
At AI Field Day 5, Arista Networks underscored the significant hurdles in deploying GPU clusters for AI training, highlighting issues like the immense power consumption driven by high data transfer demands ranging from 800Gb/s to 1.6 terabits for GPU communications. Arista suggested a shift towards energy-efficient linear pluggable optics to mitigate power consumption issues and discussed management of heat generation, noting the partial benefits of liquid cooling solutions but emphasizing that these do not fully address the broader environmental impacts. The company pointed out the urgent need for efficiency improvements in the computing industry to navigate upcoming operational and environmental challenges. Read more in this LinkedIn Pulse article by Justin Warren, who attended the Arista presentation at AI Field Day 5.
Enfabrica SuperNIC for massive clusters at AI Field Day
At AI Field Day, Enfabrica introduced its Accelerated Compute Fabric SuperNIC (ACF-S), aimed at enhancing connectivity in large compute clusters. The ACF-S features innovative integration with hardware accelerators like GPUs, supporting high bandwidths with a multi-layer crossbar switch capable of handling 5Tbps for PCIe and 3.2Tbps for Ethernet. This technology is set to boost load balancing, fault tolerance, and scalability, crucial for training complex language models, and is expected to transition into a more adaptable PCIe card format. Read more in this LinkedIn Pulse article by Alastair Cooke, who attended the Enfabrica presentation at AI Field Day 5.
Integrail Just Launched: No-code AI Agents – Your Sales and Marketing Assistant
Integrail has launched an innovative no-code platform for creating AI agents, designed to boost sales and marketing efficiency, as announced at AI Field Day 5. This user-friendly platform supports integration with leading large language models like those from OpenAI, Meta, and Google, and hooks into key business tools such as MS365 and Salesforce. Additionally, it leverages Retrieval-Augmented Generation for enhanced accuracy and offers the capability to assess and select from up to 25 different models to best meet individual business requirements, though it has also raised concerns regarding copyright and data storage issues in light of the EU AI Act. Read more in this LinkedIn Pulse article by Liselotte Foverskov, who attended the Integrail presentation at AI Field Day 5.
COBOL to AI: Conquering Mainframe Modernization Fears
At Tech Field Day Extra at SHARE, BMC Software addressed the challenges of mainframe modernization, focusing on the cumulative complexity rather than COBOL itself, and introduced their Automated Mainframe Intelligence (AMI) suite to enhance modernization with AI-driven tools for automated DevOps, security, and identifying inefficiencies. They emphasized an ethical approach to AI integration, stressing transparency, data privacy, and responsible workforce management. BMC advocated for starting with small-scale pilot projects and highlighted the importance of both technological and cultural changes for successful digital transformation. Read more in this LinkedIn Pulse article by Marian Newsome following Tech Field Day Extra at SHARE Kansas City 2024.
