Agentic AI, post-quantum cryptography, AI governance, and hybrid computing are among the most pressing and potentially disruptive trends that enterprises are facing, Gartner reports.
Platformization buy-in has been elusive in the past, but AI could be the impetus for enterprises to give new consideration to the idea of a consolidated network and security platform.
Enterprises are integrating AI into mainframe operations to enhance system management, and they’re using genAI for application modernization efforts, new research finds.
IBM Cloud users can now access Nvidia H100 Tensor Core GPU instances for AI and high-performance computing workloads.
The vendors are combining their multicloud networking and data management platforms to make it easier for enterprises to retrieve data from distributed environments and combine it with an LLM.
Cisco upgrades its Routed Optical Networking portfolio with management and automation features.
Investments in AI are driving growth in data center Ethernet switching, according to new research from IDC.
GPUs have become increasingly important for several large software firms such as AWS, Google, and OpenAI, as the demand for generative AI continues to grow steadily.
While AI optimism remains high, many organizations are experiencing a reality check and are not fully realizing the benefits of the technology yet.
Kyndryl’s annual survey of Big Iron users finds generative AI, security, observability and skills are 2024’s top topics.
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