24 Jul, 2025
    AI’s dirty secret: It’s becoming unaffordable for most organizations

    While everyone’s hyping the AI revolution, here’s the uncomfortable reality—training a standard 70B parameter model requires 1.4TB of GPU memory. That means buying 30+ high-end GPUs just to pool enough memory together, costing $500K+ before you even factor in power,

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    23 Jul, 2025
    Is Your AI infrastructure investment hemorrhaging money right now?

    While everyone debates GPU shortages and model costs, there’s a silent killer destroying ROI that no one talks about: network provisioning bottlenecks. Organizations spend millions on bleeding-edge AI hardware, then watch it sit idle for weeks while network engineers manually

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    21 Jun, 2025
    Scaling AI: Mastering Inference with Google Cloud’s GKE Inference Gateway

    While much attention is focused on artificial intelligence (AI) training of large, complex models, the reality for most organizations is different. Instead of building models from scratch, many companies are leaning towards using pre-trained models and fine-tuning them for specific

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    17 Jun, 2025
    Orchestrating the Future of AI Networking with Software-Defined Solutions from Aviz

    As AI training and inference demands grow, AI networks have evolved into complex multi-tiered systems, often including distinct front-end networks for user access and management, back-end networks for GPU-to-GPU communication, and dedicated storage networks. This evolution introduces significant hurdles, including

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    16 Jun, 2025
    Feeding the Beast: How Keysight Ensures AI Networks Can Handle Data-Hungry GPUs

    AI workloads are shifting from primarily model training to serving these models through inferencing, making network performance and stability critically important. GPUs are data hungry, demanding continuous, low-latency data streams. It’s paramount to optimize the network infrastructure before receiving expensive

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    12 May, 2025
    Bringing Intent-Based Management to Open Networking for the AI Era

    Managing AI infrastructure at scale is no small feat. With networks spanning thousands of devices across multiple distinct fabrics, manual configuration simply isn’t sustainable. In my latest article, I explore how intent-based management is transforming open networking for AI deployments.

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    7 May, 2025
    The AI Data Center Evolution: Juniper Apstra’s Lifecycle Solution for Performance at Scale

    Excited to share my latest article on how Juniper Networks’ Apstra is revolutionizing AI data center management! As AI workloads push traditional infrastructure to its limits, organizations need a comprehensive approach to handle the unprecedented scale, performance demands, and operational

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