latency

data storage for ai performance

Data Storage: The Hidden Driver of AI Performance

As artificial intelligence (AI) fundamentally reshapes global industries, organizations are discovering that the integrity and speed of their AI output depend heavily on their underlying data infrastructure. While public cloud tools are readily available, a growing number of enterprises are turning to Sovereign AI—running proprietary AI infrastructure in-house—to maintain a true competitive advantage. The Strategic … Data Storage: The Hidden Driver of AI Performance

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The three most important metrics in cloud: latency, latency, latency

When comparing public cloud services such as AWS, Google Cloud Platform, Microsoft Azure, or Linode, you’re likely to notice their specs on IOPS and throughput. These can be impressive numbers, but they’re just a small part of the overall performance factors that need to be considered when choosing the right cloud for your workloads. And … The three most important metrics in cloud: latency, latency, latency

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NVMe-powered VDI cloud

7 Million IOPS and 0.15 ms Latency for an NVMe-powered VDI Cloud

Hyper-Converged Infrastructure (HCI) is gaining more ground as the preferred way to build efficient IT infrastructure. In this architecture both the storage and the compute workloads (virtual machines, containers, apps, databases) run on the same physical servers. The promise of HCI is that you would be able to fully utilize your hardware without sacrificing performance. … 7 Million IOPS and 0.15 ms Latency for an NVMe-powered VDI Cloud

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