AI
What Is a Token
· β˜• 1 min read
A token is a unit tightly bound to data. It can be used to measure how much corpus is needed to train a model, and also to measure the input and output length at inference time. 1. What a token is A token can be a whole word, a subword,

What Are FLOPs
· β˜• 2 min read
1. About FLOPs FLOPs (Floating Point Operations Per Second) refers to the number of floating-point operations performed per second. Specifically: A single floating-point addition, such as a + b, counts as one floating-point operation. A single floating-point multiplication, such as a * b, also counts as one floating-point operation. Other basic floating-point operations, such as division and square root, can also be counted as one floating-point operation.

DLRover Workflow Analysis on Kubernetes
· β˜• 11 min read
The DLRover version used in this article is 0.3.7 1. DLRover Operator 1.1 Starting the ElasticJob and ScalePlan Controllers Implementation code: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 // εˆ›ε»Ί ElasticJob ηš„ζŽ§εˆΆε™¨ if err = controllers.NewElasticJobReconciler(mgr, masterImage).SetupWithManager(mgr); err

The Evolution of NVIDIA GPU Cores and Architectures
· β˜• 11 min read
1. Product Lines GeForce Aimed at gamers, offering powerful graphics processing capabilities and advanced gaming technologies. Common ones include the NVIDIA GTX series, the high-end RTX series, and the Titan series. Quadro Aimed at the professional market, such as designers, engineers, scientists, and content creators. Common ones include the Quadro P series and the high-end Quadro RTX series.

Data Parallel Architecture in Distributed Training
· β˜• 6 min read
1. Parameter Server Architecture In the Parameter Server architecture, the nodes in the cluster are divided into two categories: parameter server nodes (Parameter Server) and worker server nodes (Worker). 1.1 Parameter Server The Parameter Server is used to store the model’s parameters. Each parameter server node is responsible for managing and updating one part of the model’s parameters, while each worker node only processes the subset of data corresponding to it.