Darius Baruar
April 9, 2025 07:18
NVIDIA and RAFAY are working together to improve the AI workload with advanced acceleration computing solutions focused on enterprise AI infrastructure and self -service platforms.
Global demand for created AI has greatly increased the demand for accelerated computing hardware, urging companies to deploy high -end private cloud infrastructure. According to NVIDIA, this surge led to the appearance of a GPU cloud provider or AI cloud, which provides an accelerated computing capacity for the AI workload.
Self -service AI infrastructure
Developers and data scientists now require smooth self -service access to resource calculations, avoiding the delay of traditional systems. Therefore, cloud providers set priority of self -service workflow to optimize the use of GPU infrastructure. NVIDIA AI Enterprise accelerates AI workloads by providing a safe micro service for model distribution in a self -service environment.
Challenge of developing GPU PAAS
To build a GPU PaaS platform that is ready for production, it includes continuous development, support and security maintenance. Infrastructure software suppliers, such as RAFAY, offer important support by promoting the innovation of enterprise individual clouds and cloud providers by providing an immediate PAAS solution to the GPU -based environment.
Rafay’s role in AI infrastructure
Through the RAFAY platform, a company allows you to provide a self-service PAA for AI infrastructure with Enterprise-Grade Control. It supports NVIDIA AI Enterprise and various AI models and frameworks designed for NVIDIA Accelerated Computing to provide a comprehensive platform for AI development and modeling.
Integration with NVIDIA AI Enterprise
RAFAY facilitates tools for building AI agents such as NVIDIA NIM and NEMO as part of the production preparation distribution of NVIDIA AI Enterprise. The platform also allows cloud providers to provide additional AI services through the environmental management class.
Companies can use RAFAY to manage infrastructure, provide computing services, and distribute AI tools by self -service. The function of the platform includes SKU automation, self -service portal, enterprise grade user management and Kubernetes cluster life cycle management.
Regional implementation and influence
Local cloud providers, such as Lintasarta, Indonesia, plans to use the RAFAY platform to provide PaaS for AI reasoning and educational workloads. Vikram Sinha, CEO of Indosat Ooredoo Hutchinson, emphasized cooperation with NVIDIA and RAFAY to define PaaS requirements for AI applications.
Overall, the RAFAY platform provides a PAAS solution that can be prepared to produce, combining NVIDIA’s accelerated computing infrastructure and platform function to solve the demand for AI Workroads by reducing market markets between AI Initiatives.
For more information, visit the NVIDIA blog.
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