In the rapidly shifting landscape of enterprise IT, one might expect that cloud technologies would entirely eclipse traditional mainframe systems. However, this is far from the case. A substantial portion of businesses are not only maintaining their mainframes but are also investing more heavily in them. This article delves into the reasons behind this sustained investment in mainframes and uncovers
The rapid integration of artificial intelligence (AI) technologies in enterprises has ushered in a period of significant transformation. Companies are witnessing a notable increase in their cloud expenditures, driven by the adoption of generative AI applications and the heightened computational demands that accompany them. As AI continues to embed itself into various business functions, enterprises are contending with financial challenges
ZLUDA, an open-source library initially designed to facilitate Intel GPUs running on NVIDIA’s software stack, is undergoing a remarkable resurgence. The library’s journey, which saw it embraced and then discontinued by AMD, is now taking an exciting turn with the support of an anonymous sponsor. This renewed effort seeks to enhance ZLUDA’s capabilities for AI and machine learning (ML) workloads,
Artificial Intelligence (AI) is revolutionizing myriad industries, from healthcare to finance, with its unparalleled capabilities. However, this rapid expansion comes with significant energy requirements, raising concerns about its environmental footprint and sustainability. Ensuring a balance between technological progress and responsible energy consumption is critical for AI’s future. The Energy-Intensive Nature of AI The Reality of High-Caliber AI Models The process
Google has unveiled its latest AI innovation, Audio Overview, an ambitious project under its AI-powered research assistant NotebookLM, designed to transform the landscape of podcasting. This new feature leverages the advanced capabilities of the Google Gemini 1.5 AI engine to convert a variety of content formats—ranging from documents and videos to website links—into engaging podcast-style summaries. What sets Audio Overview
Intel is preparing to shake up the computing world with the release of its Panther Lake "Core Ultra 300" CPUs. Central to this new generation of processors is the innovative NPU5 architecture, which is expected to significantly elevate AI performance. This development comes at a time when the integration of AI capabilities within CPUs is of paramount importance, and Intel’s
The dynamic growth of e-commerce has introduced new challenges in logistics, especially in maintaining seamless, rapid, and accurate order fulfillment. Pickommerce AI Robotics is at the forefront of addressing these challenges with its innovative PickoBot technology. Through advanced AI algorithms, versatile gripping technologies, and sophisticated computer vision systems, PickoBot is transforming the pick-and-pack operations in various industries, heralding a new
Apple’s recent unveiling of its M4 chip, first introduced with the new iPad Pro, represents a significant strategic shift for the tech giant towards enhancing its mobile and touch computing capabilities without disregarding its traditional laptop market. The M4 chipset, crafted on TSMC’s cutting-edge 3nm process node, is equipped with a 10-core CPU and GPU. While it retains the architectural
The report delves into the substantial shift towards a deliberate multicloud strategy among enterprises today. This strategy, characterized by the use of multiple cloud providers, is now 2.2 times more prevalent than it was three years ago. An astonishing 87% of enterprises are currently employing multiple cloud providers, averaging three, to ensure both flexibility and redundancy in their IT structures.
The expansion of the collaboration between NetApp and Google Cloud marks a pivotal moment in the realm of data storage and intelligent services, especially for highly regulated industries. This partnership aims to invigorate artificial intelligence (AI) innovation while maintaining robust standards of security and regulatory compliance. These efforts are particularly significant for sectors that operate under stringent regulations such as
The rapid surge in cloud adoption has introduced both opportunities and challenges for enterprises, chiefly among them being the escalating costs and complexity associated with cloud management. Addressing these issues, CloudBolt has launched an AI-driven platform designed to revolutionize cloud cost management by leveraging artificial intelligence (AI) and machine learning (ML). This state-of-the-art platform exemplifies a third-generation Financial Operations (FinOps)
Cohere has unveiled significant updates to its fine-tuning service for large language models, marking a pivotal moment aimed at accelerating enterprise adoption of AI. These updates are designed to support Cohere’s latest Command R 08-2024 model, which promises faster response times and higher throughput. Such advancements could translate into substantial cost savings for enterprises by delivering superior performance with fewer
