amogkam / batch-inference-benchmarks
☆16Updated last year
Alternatives and similar repositories for batch-inference-benchmarks:
Users that are interested in batch-inference-benchmarks are comparing it to the libraries listed below
- WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.☆18Updated 2 years ago
- Some microbenchmarks and design docs before commencement☆12Updated 4 years ago
- Lightning In-Memory Object Store☆45Updated 3 years ago
- A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed tra…☆18Updated 2 years ago
- Distributed ML Optimizer☆30Updated 3 years ago
- Mobius is an AI infrastructure platform for distributed online learning, including online sample processing, training and serving.☆94Updated 8 months ago
- Apache Arrow Flight example☆11Updated 4 years ago
- ☆15Updated last year
- Machine Learning Inference Graph Spec☆21Updated 5 years ago
- Serverless Python with Ray☆55Updated 2 years ago
- JupyterLab extension to provide a Kubeflow specific left area for Notebooks deployment☆18Updated 4 years ago
- Demonstration of how to perform continuous model monitoring on CML using Model Metrics and Evidently.ai dashboards☆12Updated 3 months ago
- Ray - A curated list of resources: https://github.com/ray-project/ray☆51Updated last month
- Exoshuffle-CloudSort☆24Updated 2 years ago
- Ray-based Apache Beam runner☆43Updated last year
- Parameter Server implementation in Apache Flink.☆14Updated 6 years ago
- A database with automatic dynamic imputation of missing values.☆11Updated 7 years ago
- Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with …☆47Updated last month
- Ray Framework (https://github.com/ray-project/ray) on Kubernetes☆12Updated 6 years ago
- Three examples of recommendation system pipelines with NVIDIA Merlin and Redis☆57Updated 2 years ago
- Deadline-based hyperparameter tuning on RayTune.☆31Updated 5 years ago
- Scaling Python Machine Learning☆45Updated last year
- Pretrain, finetune and serve LLMs on Intel platforms with Ray☆117Updated last week
- Speed up fsspec data access with Alluxio distributed caching.☆13Updated this week
- Repository to go along with the paper "Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines"☆9Updated 2 years ago
- Benchmark for machine learning model online serving (LLM, embedding, Stable-Diffusion, Whisper)☆28Updated last year
- This repository contains statistics about the AI Infrastructure products.☆18Updated last week
- Python and Scala APIs for enhanced Spark analytics☆12Updated 7 years ago
- Condor allows for the specification of synopsis-based streaming jobs on top of general dataflow systems. Condor provides a collection of …☆13Updated 8 months ago
- Rayvens makes it possible for data scientists to access hundreds of data services within Ray with little effort.☆49Updated 2 years ago