Hammerspace, a high-performance data platform for AI, has secured $100 million in strategic growth capital from notable investors like Altimeter Capital and ARK Invest. This funding aims to enhance AI infrastructure, addressing the critical need for scalable data performance in modern computing environments, ultimately accelerating global expansion and innovation.
In the second installment of our series on AI-ready infrastructure, we explore the critical role of network infrastructure in AI deployment. As mid-sized businesses adopt AI, understanding the demands on network bandwidth, latency, and security is essential for successful implementation and competitive advantage in today’s landscape.
AI is revolutionizing cloud infrastructure management by enabling dynamic resource allocation, enhancing efficiency, and reducing costs. With predictive analytics and machine learning, organizations can optimize workload distribution, achieving up to 78.5% resource utilization. This transformation fosters scalability, resilience, and cost-effectiveness in digital ecosystems.
