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Jack Poller

Chapel Hill, North Carolina, San Francisco

Founder & Principal Analyst, Paradigm Technica, covering Cybersecurity and AI; formerly pre-revenue marketing, HW/SW in startup land

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Articles

  • Orchestrating the Future of AI Networking with Software-Defined Solutions from Aviz

    1 week ago | techstrong.ai | Jack Poller

    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.

  • Feeding the Beast: How Keysight Ensures AI Networks Can Handle Data-Hungry GPUs

    1 week ago | techstrong.ai | Jack Poller

    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 GPUs, ensuring readiness for new generations of hardware and complex workloads.

  • Uncompromising Network Visibility: How cPacket Augments Security with Advanced Telemetry and AI

    2 weeks ago | buff.ly | Jack Poller

    The axiom “you can't secure what you can't see” rings truer than ever. Security professionals increasingly rely on network telemetry to gain visibility into their environments, understand normal versus abnormal behavior, and detect threats that might otherwise go unnoticed. The challenge, however, lies in the sheer volume and dynamic nature of network data.

  • Breaking the AI Storage Bottleneck: Solidigm's Strategic Approach to Each Pipeline Stage

    2 weeks ago | techstrong.ai | Jack Poller

    Efficient management, accessibility, and sheer volume of data in AI workloads necessitate robust and intelligent storage solutions. As AI models grow in size and complexity, every watt of power and every square inch of data center space become paramount, making storage choices fundamental to cost-efficiency and performance.

  • Breaking the AI Storage Bottleneck: Solidigm's Strategic Approach to Each Pipeline Stage

    2 weeks ago | buff.ly | Jack Poller

    Efficient management, accessibility, and sheer volume of data in AI workloads necessitate robust and intelligent storage solutions. As AI models grow in size and complexity, every watt of power and every square inch of data center space become paramount, making storage choices fundamental to cost-efficiency and performance.

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