�ݺ�ߣshows by User: AnjulSahu

�ݺ�ߣshows by User: AnjulSahu / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: AnjulSahu / Fri, 21 Jun 2024 18:53:05 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: AnjulSahu Build AI Cloud with CloudRaft AI Platform /slideshow/build-ai-cloud-with-cloudraft-ai-platform/269812559 howtobuildaicloud-240621185305-608c4feb
In the rapidly evolving landscape of artificial intelligence (AI), integrating AI capabilities into cloud infrastructure is crucial for organizations seeking to leverage the power of advanced AI technologies. This presentation, delivered by Anjul Sahu, CEO of CloudRaft, at the Cloud Native Indore Tech Talk, explores the architecture, trends, and challenges involved in building an AI cloud using Kubernetes. An AI cloud, a scalable and flexible environment, supports the full AI lifecycle—from creating features and models to operating, monitoring, and sharing them throughout the organization. The presentation highlights current trends in AI infrastructure, emphasizing the growing demand for data and specialized cloud solutions to support larger AI models and the need for compliance with data sovereignty regulations. The talk details the role of cloud-native technologies in AI, demonstrating how Kubernetes accelerates AI workloads by enabling scalable, self-service, and high-performance environments. The reference architecture presented provides a comprehensive guide to building AI cloud platforms, integrating essential components such as GPUs, AI/ML frameworks, and full-stack solutions (IaaS, PaaS, SaaS). Moreover, the presentation addresses the challenges of developing an AI cloud, including the substantial investment required, GPU supply chain issues, the need for specialized skills, and the high reliability demanded for long-running distributed training jobs. It also discusses potential security threats and the sustainability concerns associated with AI infrastructure. By leveraging CloudRaft's expertise in cloud and AI, attendees gain insights into building and managing AI clouds effectively, ensuring data privacy, improving productivity, and exploring the potential of AI to drive significant enterprise transformations. For further insights and detailed guidance on building an AI cloud, visit https://www.cloudraft.io]]>
In the rapidly evolving landscape of artificial intelligence (AI), integrating AI capabilities into cloud infrastructure is crucial for organizations seeking to leverage the power of advanced AI technologies. This presentation, delivered by Anjul Sahu, CEO of CloudRaft, at the Cloud Native Indore Tech Talk, explores the architecture, trends, and challenges involved in building an AI cloud using Kubernetes. An AI cloud, a scalable and flexible environment, supports the full AI lifecycle—from creating features and models to operating, monitoring, and sharing them throughout the organization. The presentation highlights current trends in AI infrastructure, emphasizing the growing demand for data and specialized cloud solutions to support larger AI models and the need for compliance with data sovereignty regulations. The talk details the role of cloud-native technologies in AI, demonstrating how Kubernetes accelerates AI workloads by enabling scalable, self-service, and high-performance environments. The reference architecture presented provides a comprehensive guide to building AI cloud platforms, integrating essential components such as GPUs, AI/ML frameworks, and full-stack solutions (IaaS, PaaS, SaaS). Moreover, the presentation addresses the challenges of developing an AI cloud, including the substantial investment required, GPU supply chain issues, the need for specialized skills, and the high reliability demanded for long-running distributed training jobs. It also discusses potential security threats and the sustainability concerns associated with AI infrastructure. By leveraging CloudRaft's expertise in cloud and AI, attendees gain insights into building and managing AI clouds effectively, ensuring data privacy, improving productivity, and exploring the potential of AI to drive significant enterprise transformations. For further insights and detailed guidance on building an AI cloud, visit https://www.cloudraft.io]]> Fri, 21 Jun 2024 18:53:05 GMT /slideshow/build-ai-cloud-with-cloudraft-ai-platform/269812559 AnjulSahu@slideshare.net(AnjulSahu) Build AI Cloud with CloudRaft AI Platform AnjulSahu In the rapidly evolving landscape of artificial intelligence (AI), integrating AI capabilities into cloud infrastructure is crucial for organizations seeking to leverage the power of advanced AI technologies. This presentation, delivered by Anjul Sahu, CEO of CloudRaft, at the Cloud Native Indore Tech Talk, explores the architecture, trends, and challenges involved in building an AI cloud using Kubernetes. An AI cloud, a scalable and flexible environment, supports the full AI lifecycle—from creating features and models to operating, monitoring, and sharing them throughout the organization. The presentation highlights current trends in AI infrastructure, emphasizing the growing demand for data and specialized cloud solutions to support larger AI models and the need for compliance with data sovereignty regulations. The talk details the role of cloud-native technologies in AI, demonstrating how Kubernetes accelerates AI workloads by enabling scalable, self-service, and high-performance environments. The reference architecture presented provides a comprehensive guide to building AI cloud platforms, integrating essential components such as GPUs, AI/ML frameworks, and full-stack solutions (IaaS, PaaS, SaaS). Moreover, the presentation addresses the challenges of developing an AI cloud, including the substantial investment required, GPU supply chain issues, the need for specialized skills, and the high reliability demanded for long-running distributed training jobs. It also discusses potential security threats and the sustainability concerns associated with AI infrastructure. By leveraging CloudRaft's expertise in cloud and AI, attendees gain insights into building and managing AI clouds effectively, ensuring data privacy, improving productivity, and exploring the potential of AI to drive significant enterprise transformations. For further insights and detailed guidance on building an AI cloud, visit https://www.cloudraft.io <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/howtobuildaicloud-240621185305-608c4feb-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> In the rapidly evolving landscape of artificial intelligence (AI), integrating AI capabilities into cloud infrastructure is crucial for organizations seeking to leverage the power of advanced AI technologies. This presentation, delivered by Anjul Sahu, CEO of CloudRaft, at the Cloud Native Indore Tech Talk, explores the architecture, trends, and challenges involved in building an AI cloud using Kubernetes. An AI cloud, a scalable and flexible environment, supports the full AI lifecycle—from creating features and models to operating, monitoring, and sharing them throughout the organization. The presentation highlights current trends in AI infrastructure, emphasizing the growing demand for data and specialized cloud solutions to support larger AI models and the need for compliance with data sovereignty regulations. The talk details the role of cloud-native technologies in AI, demonstrating how Kubernetes accelerates AI workloads by enabling scalable, self-service, and high-performance environments. The reference architecture presented provides a comprehensive guide to building AI cloud platforms, integrating essential components such as GPUs, AI/ML frameworks, and full-stack solutions (IaaS, PaaS, SaaS). Moreover, the presentation addresses the challenges of developing an AI cloud, including the substantial investment required, GPU supply chain issues, the need for specialized skills, and the high reliability demanded for long-running distributed training jobs. It also discusses potential security threats and the sustainability concerns associated with AI infrastructure. By leveraging CloudRaft's expertise in cloud and AI, attendees gain insights into building and managing AI clouds effectively, ensuring data privacy, improving productivity, and exploring the potential of AI to drive significant enterprise transformations. For further insights and detailed guidance on building an AI cloud, visit https://www.cloudraft.io

Build AI Cloud with CloudRaft AI Platform from Anjul Sahu

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Research by Akshat Saxena, Anjul Sahu, SGSITS, Indore]]>
Research by Akshat Saxena, Anjul Sahu, SGSITS, Indore]]> Wed, 22 Dec 2021 04:52:10 GMT /slideshow/web-20-250881561/250881561 AnjulSahu@slideshare.net(AnjulSahu) Web 2.0 AnjulSahu Research by Akshat Saxena, Anjul Sahu, SGSITS, Indore <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/web20-211222045210-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Research by Akshat Saxena, Anjul Sahu, SGSITS, Indore

Web 2.0 from Anjul Sahu

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0 https://cdn.slidesharecdn.com/profile-photo-AnjulSahu-48x48.jpg?cb=1720600821 Experienced in Oracle database administration, RAC, Performance tuning, SQL optimisation, Enterprise Manager, e-business suite R12 administration, code deployments, incident & change management, custom software development, shell scripting and automation, Capacity Management, R Programming, Web Development. Experienced in managing large databases in heterogenous environment for a large telecom enterprise. Skills: Oracle 9i/10g/11g/RAC and E-Business Suite Administration R12, Lavastorm Analytics, Automation, Oracle performance tuning, Siebel CRM, APEX, PHP, Comverse's Kenan, Advanced database troubleshooting, SQL & Instance Tuning, R programming http://anjulsahu.blogspot.com/ https://cdn.slidesharecdn.com/ss_thumbnails/howtobuildaicloud-240621185305-608c4feb-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/build-ai-cloud-with-cloudraft-ai-platform/269812559 Build AI Cloud with Cl... https://cdn.slidesharecdn.com/ss_thumbnails/web20-211222045210-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/web-20-250881561/250881561 Web 2.0