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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    21 Jul, 2025
    Enterprise AI Gets a Storage Upgrade: MinIO AIStor Scales from Labs to Production at Exabyte Scale

    In AI, data storage is no longer just about capacity; it’s about intelligent, high-performance, and secure access to the vast datasets that fuel ML models. MinIO, a software-defined object storage developer, recently showcased MinIO AIStor at Cloud Field Day, demonstrating how

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    18 Jul, 2025
    David vs. Goliath in AI Hardware: Signal65’s Independent Tests Reveal Gaudi 3’s Surprising Edge

    A recent survey by Futurum Intelligence revealed that 80% of CIOs from major companies are either looking to conduct AI pilots or already implementing AI in some capacity. While the excitement for AI is palpable, enterprises face considerable challenges, including cost, scalability,

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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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    13 Jun, 2025
    Breaking Free from Hardcoded Security: Microsoft Introduces Human-in-the-Loop AI Agents

    🔐 The Future of Security Operations is Here: AI That Actually Thinks Traditional security automation is breaking down. While SOAR platforms excel at routine tasks, they crumble when faced with new threats or unexpected scenarios. Microsoft’s Security Copilot Agents are

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