Introduction When talking about Serverless, Kubernetes is a topic that cannot be avoided. In today’s lesson, we will continue learning how to set up a private Serverless environment. Specifically, we will build the Serverless infrastructure based on the local K8s deployment from the last lesson. Then, we will install

In the previous article, we discussed two process models for Serverless: run-to-completion and long-running processes. The key difference between these models lies in whether the function instance terminates immediately after execution. Additionally, we explored two scenarios: data orchestration and service orchestration. You might wonder if these scenarios can be implemented

In the previous article, we explored the workings of Serverless under the hood. In essence, Serverless leverages layered scheduling and rapid cold starts, enabling it to scale down to zero when no events are being processed. It’s akin to a voice-activated light that illuminates when someone is present and

What is Serverless? Serverless, as the name suggests, refers to serverless computing. You might wonder, how is it possible to perform computation without servers? In reality, serverless doesn’t mean there are literally no servers. Instead, it leverages technology to abstract away the concept of servers from the business logic,

A Dynamic Deep Learning Framework for AI Innovations What is PyTorch? PyTorch, the Python counterpart of Torch, is an open-source machine learning framework developed by Facebook. It is specifically designed for deep neural network (DNN) programming with GPU acceleration.Torch itself is a well-established tensor library widely used for manipulating

Introduction With the rapid development of artificial intelligenc, GPUs have become a focal point in the arms race among major companies. Possessing more GPUs translates to greater computing power, enabling faster AI training and inference. Why are GPUs so crucial in the age of AI ? GPUs and Parallel Computing Have

Foreword The release of Llama3.1 has immediately garnered global attention, marking the first time an open-source model has approached and even surpassed proprietary models in certain metrics.This article introduces the method and steps for deploying the Llama3.1-405B model from scratch using a Novita AI GPU Instance. It

Containers have undoubtedly become a technological buzzword in recent years. The emergence and rise of containerization technology, along with the microservice architecture, DevOps, and cloud-native concepts it has spawned, have had a profound impact on the software industry. Containers offer numerous advantages. Their comprehensive encapsulation, convenient deployment, and lightweight startup

Today's article primarily introduces the stages in the scheduling process where the scheduling strategies of Predicates and Priorities mainly come into play. Predicates Let's first take a look at Predicates.The role of Predicates in the scheduling process can be understood as a Filter, that is:

In the previous article, I provided a detailed introduction to the concept of Pods, which are the most important in the Kubernetes project. In today's article, I will share more details about Pod objects. Pods vs. Virtual Machines By now, you should be very clear that it is

About Pods Pods are the smallest API unit in Kubernetes. In more technical terms, Pods are the atomic scheduling unit in Kubernetes. But why do we need Pods?To answer this question, we need to first understand the essence of a container: a container is essentially a process.That'

Before diving into what a Dockerfile is, let's conduct a small experiment.Remember the Python image we pulled in the previous section? Let's first enter the container using the docker run -it command. Recall what the -it parameter does—it assigns a pseudo-TTY to the container,

c a gathering of the global AI community, welcomed top enterprises and industry leaders from around the world. At this conference themed around innovation and future technologies, Bill Yao, co-founder of novita.ai, not only delivered a keynote speech but also participated in a panel discussion titled "Innovating Infrastructure

Introduction GPU VPS providers are gaining popularity as the demand for powerful computers grows, particularly in AI, machine learning, and deep learning tasks. Businesses and individuals seek robust hosting solutions to handle these processes efficiently. GPU VPS servers offer the speed required for heavy-duty tasks by providing ample computing power.

Entry-level developers often face pain points such as inefficient code updates, releases, and deployments, along with challenges in maintaining environment consistency. Code that runs smoothly in the development environment might encounter errors on a different machine.In the era of cloud computing, deploying code using traditional methods feels outdated. This

Preface In the rapidly evolving domains of data centers and AI computing, the NVIDIA A100 Tensor Core GPU has emerged as a technological innovation engine, powered by the NVIDIA Ampere architecture. The A100 GPU not only showcases exceptional performance in applications such as AI, data analytics, and high-performance computing (HPC)