Network Architecture Design for AI Workloads

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Artificial Intelligence (AI) workloads are exerting escalating pressures on network infrastructure. As models increase in complexity, efficient data transmission, minimal latency, and high bandwidth are crucial for seamless operations. The architecture of AI networks must be meticulously crafted to enhance performance in both training and inference tasks. This article examines InfiniBand and Open Ethernet topologies, […]

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Why RAG is Important vs Fine-Tuning and Training

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FutureGeneralHealthcareHuman ResourcesInformationalInfrastructureRecruitmentSecuritySocietyTechnology

In the swiftly changing realm of artificial intelligence, companies are pursuing the most effective methods to optimise Large Language Models (LLMs) for their specific needs. Although conventional techniques like fine-tuning and comprehensive training are prevalent, Retrieval-Augmented Generation (RAG) is developing as a more efficient and pragmatic alternative. This essay will examine the significance of RAG, […]

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DeepSeek: Shaping the Future of AI Amidst Challenges and Constraints

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The unveiling of DeepSeek elicited an electrifying yet disruptive market response. Although industry leaders lauded it as a revolutionary accomplishment, its effect on the technology sector was prompt and profound. The disclosure erased billions from the market capitalisation of conventional AI firms as investors hurried to adjust their expectations. DeepSeek’s sophisticated functionalities indicated a profound […]

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The Shift from Proprietary NVIDIA AI Solutions to Open Source Frameworks: Why Enterprises are Making the Move

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Technology

In recent years, artificial intelligence (AI) has emerged as a fundamental element of innovation across various industries. Businesses, ranging from startups to multinational businesses, have been significantly investing in AI to enhance efficiencies, get insights, and develop new goods and services. Historically, numerous AI workloads have been driven by NVIDIA’s proprietary technologies, which have become […]

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