The Kubernetes Current Blog

Read our thoughts on all things Kubernetes and stay current on the latest news from Rafay

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GPU Metrics – Memory Utilization

In the introductory blog on GPU metrics, we discussed about the GPU metrics that matter and why they matter. In this blog, we will dive deeper into one of the critical GPU metrics i.e. GPU Memory Utilization. GPU memory utilization refers to… Read More

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GPU Metrics – SM Clock

In the previous blog, we discussed why tracking and reporting GPU Memory Utilization metrics matters. In this blog, we will dive deeper into another critical GPU metric i.e. GPU SM Clock. The GPU SM clock (Streaming Multiprocessor clock) metric refers to the… Read More

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GPU Metrics – Framebuffer

In the previous blog, we discussed why tracking and reporting GPU power usage matters. In this blog, we will dive deeper into another critical GPU metric i.e. GPU Framebuffer usage. Important Navigate to documentation for Rafay's integrated capabilities for Multi Cluster GPU Metrics… Read More

Image for GPU Metrics – Power

GPU Metrics – Power

In the previous blog, we discussed why tracking and reporting GPU SM Clock metrics matters. In this blog, we will dive deeper into another critical GPU metric i.e. GPU Power. Important Navigate to documentation for Rafay's integrated capabilities for Multi Cluster GPU… Read More

Image for Building an Extensible GenAI Copilot: What We Learned

Building an Extensible GenAI Copilot: What We Learned

Working through the complexities of developing an internal copilot helped us push the boundaries of what we believed possible with GenAI. Our generative AI (GenAI) journey began with a single use case: How could we make it easier for our customers… Read More

Image for What GPU Metrics to Monitor and Why?

What GPU Metrics to Monitor and Why?

With the increasing reliance on GPUs for compute-intensive tasks such as machine learning, deep learning, data processing, and rendering, both infrastructure administrators and users of GPUs (i.e. data scientists, ML engineers and GenAI app developers) require timely access and insights… Read More

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PyTorch vs. TensorFlow: A Comprehensive Comparison

When it comes to deep learning frameworks, PyTorch and TensorFlow are two of the most prominent tools in the field. Both have been widely adopted by researchers and developers alike, and while they share many similarities, they also have key… Read More

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User Access Reports for Kubernetes

Access reviews are required and mandated by regulations such as SOX, HIPAA, GLBA, PCI, NYDFS, and SOC-2. Access reviews are critical to help organizations maintain a strong risk management posture and uphold compliance. These reviews are typically conducted on a… Read More

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EC2 vs. Fargate for Amazon EKS: A Cost Comparison

When it comes to running workloads on Amazon Web Services (AWS), two popular choices are Amazon Elastic Compute Cloud (EC2) and AWS Fargate. Both have their merits, but understanding their cost implications is crucial for making an informed decision. In… Read More

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Kubernetes Management with Amazon EKS

Kubernetes management is the process of administering your Kubernetes clusters, their node fleets, and their workloads. Organizations seeking to use Kubernetes at scale must understand effective management strategies so they can successfully operate containerized applications without sacrificing observability, security, and… Read More

Image for Mastering Kubernetes Management: Challenges and Best Practices

Mastering Kubernetes Management: Challenges and Best Practices

Kubernetes empowers you to reliably operate and scale cloud-native apps, but it can be daunting to manage your Kubernetes clusters and their associated infrastructure resources. The need to maintain consistent configuration, enforce correct security policies, and gain clear visibility into… Read More

Image for LLMOps for Platform Teams: How LLMOps Powers the GenAI Revolution

LLMOps for Platform Teams: How LLMOps Powers the GenAI Revolution

Generative AI has risen to prominence as the next technology revolution. It's driven by the surging adoption of Large Language Models (LLMs) such as GPT and Llama, machine learning models that are capable of understanding the meaning of written text… Read More