GPU PaaS Unleashed: Empowering Platform Teams to Drive Innovation
GPUs underpin cutting-edge AI, machine learning, and big data workloads. They also provide critical acceleration for simulation, video rendering, and streaming tasks. With modern enterprises likely to...
View ArticleIs Fine-Tuning or Prompt Engineering the Right Approach for AI?
While prompt engineering is a quick and cost-effective solution for general tasks, fine-tuning enables superior AI performance on proprietary data. We previously discussed how building a RAG-based...
View ArticleRafay and Netris: Partnering to speed up consumption and monetization for GPU...
Rafay, a pioneer in delivering platform-as-a-service (PaaS) capabilities for self-service compute consumption, and Netris, a leader in networking Automation, Abstraction, and Multi-tenancy for AI &...
View ArticleDemocratizing GPU Access: How PaaS Self-Service Workflows Transform AI...
A surprising pattern is emerging in enterprises today: End-users building AI applications have to wait months before they are granted access to multi-million dollar GPU infrastructure. The problem is...
View ArticleGPU PaaS™ (Platform-as-a-Service) for AI Inference at the Edge:...
Enterprises are turning to AI/ML to solve new problems and simplify their operations, but running AI in the datacenter often compromises performance. Edge inference moves workloads closer to users,...
View ArticleExperience What Composable AI Infrastructure Actually Looks Like — In Just...
The pressure to deliver on the promise of AI has never been greater. Enterprises must find ways to make effective use of their GPU infrastructure to meet the demands of AI/ML workloads and accelerate...
View ArticleIntroducing Serverless Inference: Team Rafay’s Latest Innovation
The GenAI revolution is in full swing, and for NVIDIA Cloud Partners (NCPs), GPU Cloud Providers (aka GPU Clouds), and Sovereign Cloud operators, it presents a significant opportunity. To keep up with...
View ArticleWhat Is GPU PaaS?
GPU Platform as a Service (GPU PaaS) is a cloud-native model that gives developers and data scientists secure, on-demand access to GPU resources for running AI, GenAI, and ML workloads.Rafay’s GPU...
View ArticleWhat Is Platform as a Service (PaaS)?
What Is Platform as a Service (PaaS)? Platform as a Service (PaaS) is a cloud computing model, often referred to as the PaaS model, that provides a robust framework for developers to build, test,...
View ArticleIaaS vs PaaS vs SaaS: The Cloud Computing Stack Demystified
In today’s cloud-first world, understanding the differences between Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) is essential for IT...
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