model_analyzer

Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models. (by triton-inference-server)

Model_analyzer Alternatives

Similar projects and alternatives to model_analyzer

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better model_analyzer alternative or higher similarity.

model_analyzer reviews and mentions

Posts with mentions or reviews of model_analyzer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-22.
  • [P] Benchmarking some PyTorch Inference Servers
    2 projects | /r/MachineLearning | 22 Jan 2023
  • Show HN: Software for Remote GPU-over-IP
    6 projects | news.ycombinator.com | 14 Dec 2022
    Inference servers essentially turn a model running on CPU and/or GPU hardware into a microservice.

    Many of them support the kserve API standard[0] that supports everything from model loading/unloading to (of course) inference requests across models, versions, frameworks, etc.

    So in the case of Triton[1] you can have any number of different TensorFlow/torch/tensorrt/onnx/etc models, versions, and variants. You can have one or more Triton instances running on hardware with access to local GPUs (for this example). Then you can put standard REST and or grpc load balancers (or whatever you want) in front of them, hit them via another API, whatever.

    Now all your applications need to do to perform inference is do an HTTP POST (or use a client[2]) for model input, Triton runs it on a GPU (or CPU if you want), and you get back whatever the model output is.

    Not a sales pitch for Triton but it (like some others) can also do things like dynamic batching with QoS parameters, automated model profiling and performance optimization[3], really granular control over resources, response caching, python middleware for application/biz logic, accelerated media processing with Nvidia DALI, all kinds of stuff.

    [0] - https://github.com/kserve/kserve

    [1] - https://github.com/triton-inference-server/server

    [2] - https://github.com/triton-inference-server/client

    [3] - https://github.com/triton-inference-server/model_analyzer

Stats

Basic model_analyzer repo stats
2
373
8.3
4 days ago

triton-inference-server/model_analyzer is an open source project licensed under Apache License 2.0 which is an OSI approved license.

The primary programming language of model_analyzer is Python.


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