cluster-trace-gpu-v2025is a comprehensive trace dataset to support the study of GPU-disaggregated serving of Deep Learning Recommendation Models (DLRMs). This dataset captures operational characteristics of over 150 inference services, comprising a total of more than 20k inference instances. For detail...
This paper gives an in-depth analysis of the Alibaba cluster dataset 2017, published in 2018 as part of Alibaba cloud. Mostly two types of workloads are shown in the dataset; one is batch workload (offline Job) another is online workload, which runs in containers. This paper also ...
cluster-trace-gpu-v2020includes over 6500 GPUs (on ~1800 machines) in a period of 2 months. It describe the AI/ML workloads in the MLaaS (Machine-Learning-as-a-Service) provided by theAlibaba PAI (Platform for Artificial Intelligence)on GPU clusters. See the subdirectory (pai_gpu_trace_202...
spark-submit --master yarn-cluster --executor-cores 2 --executor-memory 1g --driver-memory 1g --num-executors 2--class x.x.x.TestBatchLoghub xxx.jar [] Not ice You need t o specify t he classpat h and package pat h based on t he act ual sit uat ion in t he format of x....
is abstract management of existing data in external storage or data access from application Pods, users need to interact with the Dataset resource. Whenever a user creates a Dataset CR and specifies its cache system backend, Fluid will automatically deploy the data cache to the Kubernetes cluster....
Step 2: Deploy Minio in the registered cluster Step 3: Prepare a container image that contains the Minio FUSE client Step 4: Create a ThinRuntimeProfile Step 5: Create a Dataset and a ThinRuntime Step 6: Create a pod to access the data stored in the ...
Dataset: the cluster logs of an Alibaba Cloud Elasticsearch cluster. Data volume: a single index that stores 1.2 TiB of data and has 22 primary shards. Index configuration: Compression is enabled for row-oriented, column-oriented, and inverted documents. The zstd compression algorithm is used for...
Obviously, there are several abnormal nodes in the co-located cluster, and we explore the causes of anomalies from three aspects: (1) unbalanced co-located workloads distribution; (2) skew co-located workload resource utilization; (3) system failures or job instance failures. In addition, we ...
“Jinsi” No. 1, which is deployed on the university campus, primarily utilized for advanced research. The second component is “Qiewen” No. 1, which is hosted in Alibaba Cloud’s Ulanqab data center. This cluster enables parallel computing across more than 1000 NVIDIA GPU boards, ...
“Jinsi” No. 1, which is deployed on the university campus, primarily utilized for advanced research. The second component is “Qiewen” No. 1, which is hosted in Alibaba Cloud’s Ulanqab data center. This cluster enables parallel computing across more than 1000 NVIDIA GPU boards, ...