CIO
MARCH 18, 2024
Choosing the right AI systems vendor – one with the right capabilities – won’t solve all these issues. ASUS servers exploit the latest NVIDIA advances in GPUs, CPUs, NVME storage, and PCIe Gen5 interfaces. Here are six critical capabilities that IT leaders should look for when choosing an AI systems vendor for datacenter deployment.
CIO
AUGUST 9, 2023
In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. Novel approaches to storage are needed because generative AI’s requirements are vastly different.
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Cloudera
NOVEMBER 7, 2023
Navigating this intricate maze of data can be challenging, and that’s why Apache Ozone has become a popular, cloud-native storage solution that spans any data use case with the performance needed for today’s data architectures. One of these two layouts should be used for all new storage needs.
Dzone - DevOps
JANUARY 18, 2024
One of the essential components of Docker is the storage driver. Storage drivers are the backbone of container file systems, enabling efficient data management and optimizing container performance. Docker employs storage drivers behind the scenes to manage data within containers effectively.
Xebia
JANUARY 8, 2024
Introduction With an ever-expanding digital universe, data storage has become a crucial aspect of every organization’s IT strategy. S3 Storage Undoubtedly, anyone who uses AWS will inevitably encounter S3, one of the platform’s most popular storage services. Storage Class Designed For Retrieval Change Min.
CIO
JUNE 23, 2023
And it’s the silent but powerful enabler—storage—that’s now taking the starring role. Storage is the key to enabling and democratizing AI, regardless of business size, location, or industry. That’s because data is rapidly growing in volume and complexity, making data storage and accessibility both vital and expensive.
CIO
JUNE 27, 2023
Equally, if not more important, is the need for enhanced data storage and management to handle new applications. This implies that the interaction between data storage and data applications is being redesigned, leading to the emergence of new data paradigms. New storage systems also offer improved data resilience functions.
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