Out-of-band monitoring techniques are necessary for AI clusters to provide trustworthy inferences. Out-of-band solutions provide latency analysis, decrease points of failure, and do not add additional burden on the network. [1] For AI clusters, the result of high latency are erroneous inferences. AI clusters are nodal network of GPUs that store and process inferences from machine learning models. [2] A slow latency for AI clusters inference is enough to produce incorrect inferences. The nodes of an AI cluster can create incomplete calculations on requests due to…
I recently came across an insightful blog by Bruce Davie in The Register that sheds light on the advancements in virtual network automation. While his analysis of virtual networks is insightful, he raises an important question about the state of physical network automation, “Are we actually any closer to the automation of networking than we were a decade ago?” My answer is a definitive ‘Yes’. Back in 2014, when network automation for physical networks was still in its infancy, we faced a steep learning curve….
The expanding domain of Generative AI is quickly becoming a pivotal aspect of enterprise innovation, with an impressive 66% of participants in IDC’s Future Enterprise Resiliency and Spending Survey recognizing its critical role. As this landscape evolves, the management of AI workloads across diverse environments becomes a crucial challenge, with issues such as latency, security, and connectivity at the forefront. In our view, a hybrid and multicloud networking strategy is not merely an option but a necessity for enterprises that leverage AI and operate within…
The network, at the very heart of the digital transformation, is the catalyst behind the rapid adoption of the cloud and the exponential growth of AI. It’s under immense pressure to meet the ever-increasing demand for scale, agility, and cost-effectiveness. Over the past two decades, we’ve witnessed significant shifts in networking approaches. It’s crucial to understand our past, avoid past mistakes, and build on our successes to navigate the future. The physical networks are the traditional model of connectivity. In this model, an organization procures…
As we broaden the possibilities of our digital world, the blend of artificial intelligence (AI) and automation is carving out new paths in how we manage and fortify networks. This transformative duo holds immense potential to empower teams, revolutionize roles, and navigate challenges with unprecedented efficiency and agility. The recent surge in AI growth has heralded a monumental transformation in network management and monitoring. This surge is not merely a trend but a profound shift in how networks operate, with far-reaching implications for businesses across…
In this era of hyper-distributed infrastructure where our users, apps, and data are everywhere, network complexity is often a barrier to maintaining and improving application performance. Businesses want to leverage the capabilities of cloud architectures and environments to improve operational outcomes. In a world where slow is the new down, a network that just keeps up with the business is not enough. More than ever, networks impact application performance and influence business outcomes from app velocity to operational efficiency and new service deployment at scale….
Leveraging CDN Principles Supercharges your WAN Performance In the world where the CIOs have a ‘Cloud First / SaaS First’ manifesto, new applications and services will be prioritized for cloud deployment; existing on-prem applications will be candidates for migration to SaaS or Cloud-hosted alternatives, and cost savings will be a key driver. Where scalability and speed to deliver is in constant demand, the job of an enterprise infrastructure team is to deliver the (increasingly Cloud hosted) applications to their intended end-users in the most performant,…
In recent years, GenAI has transitioned from a topic of academic research to a cornerstone of product innovation, sparking widespread discussion across the tech industry. As organizations consider integrating AI into their operations, there’s a pressing need for a deeper understanding of its potential applications, implementation strategies, and the specific use cases it can enhance. Why Now is the Optimal Time for AI Integration Automating Repetitive Tasks: IT professionals often find themselves bogged down by repetitive and mundane tasks that, while necessary, do not require…
As Enterprises accelerate their digital transformation, and information technology (IT) and operational technology (OT) worlds continue to converge, security is paramount. Cyber threats are growing exponentially, while also becoming more sophisticated and harder to detect. Increasingly, mission-critical OT networks, which control and monitor complex physical processes, are being extended into the data center and combined with more typical IT traffic. This makes them attractive targets for cyber criminals looking to cause maximum disruption and extract as much money as possible from their victims. In recent…
Terraform, a powerful tool for building, changing, and managing cloud infrastructure safely and efficiently, has garnered the undivided attention of the tech fraternity. What started off as a tool to deal with server configuration has gradually transcended to manage the complex infrastructural demands of today’s cloud architectures, evolving as the de-facto standard for expressing such necessities in cloud environments. Kelsey Hightower, a celebrated software engineer known for his advocacy for open-source software, cloud computing, and Kubernetes, adeptly expressed this sentiment during an insightful conversation that…
