Scaling AI beyond proof-of-concept

One year on since SDxCentral’s acquisition by InfraXmedia

AI's impact on network operations

SDxCentral's Kat Sullivan speaks with Andrew Kessler of Ornn AI about the commoditization of compute, futures market models, and the financialization of next generation infrastructure.

SDxCentral's Kat Sullivan speaks with Mateo Primorac of Scopri.ai about automating patent analysis, agentic AI reliability, and accelerating innovation through accessible, scalable intelligence platforms for enterprises.

SDxCentral's Kat Sullivan speaks with Jonmichael Hands of FarmGPU about the critical role of storage and networking in GPU cluster performance.

SDxCentral's Kat Sullivan speaks with Guy Marom of MARA about the company’s pivot from Bitcoin mining to full-stack AI infrastructure, including Axion, Mara Cloud, and evolving global energy strategy.

SDxCentral's Kat Sullivan speaks with Val Bercovici of WEKA about overcoming the AI memory wall and supporting scalable LLM and agent swarm infrastructure without compromising performance.

SDxCentral's Kat Sullivan speaks with Felix Seda from NJFX about building “never down” carrier hotel infrastructure to support subsea connectivity, AI inference, and distributed digital infrastructure at scale.

SDxCentral's Kat Sullivan speaks with Scott Charter from Oracle about the evolution and implementation of Artificial Intelligence, specifically focusing on the transition from generative AI to Agentic AI.

SDxCentral's Kat Sullivan speaks with Mai Trinh from Internet Backyard to discuss the financial infrastructure of the AI industry.

The evolution of the Security Operations Center (SOC)

SDxCentral's Kat Sullivan speaks with the CIO of the US National Nuclear Security Administration regarding the challenges of integrating modern technology and AI within a highly secure, regulated environment.

SDxCentral's Kat Sullivan speaks with Rebecca Weekly from Geico about hybrid infrastructure, the evolution of artificial intelligence (AI) systems, and the importance of ecosystem approaches.

SDxCentral's Kat Sullivan speaks with David Stehlin from the Telecommunications Industry Association (TIA) about the evolving landscape of digital infrastructure and the implementation of industry-led standards.

The implementation of hybrid AI strategies

Distributed inference at scale

The evolution of AI capacity planning

Five years after ETSI set a new baseline for IoT security, connected devices now operate across increasingly distributed enterprise and infrastructure environments.

As cloud-first and multi-cloud strategies take hold, the lines between networking, security, and observability are disappearing.

AI workloads are changing how storage systems operate, requiring high-performance computing and better data management.

AI workloads are shifting toward platforms that can handle both high-performance training and low-latency inference

Quantum computing is moving from theory to targeted real-world trials, but separating substance from hype is critical.

Vishal Shukla, CEO and Co-Founder of Aviz Networks, joins Dan Loosemore to discuss the limitations of traditional networking architectures in meeting the demands of modern AI workloads.