易於使用–DJL Serving 可以為大多數模型提供服務,而無需任何修改。您自帶模型成品,DJL Serving 可以進行託管。 多個裝置和加速器支援 – DJL Serving 支援在 CPUs、GPUs 和 AWS Inferentia 上部署模型。 效能–DJL Serving 會在單一 Java 虛擬機器 (JVM) 執行多執行緒推斷,以提高輸送量。
投票
docker pull deepjavalibrary/djl-serving:pytorch-cu113-nightly ###创建容器 nvidia-docker run -itd --name serving1 -p 8080:8080 deepjavalibrary/djl-serving:0.19.0-pytorch-cu113 如果你没有gpu环境,可以把**nvidia-docker**换成**docker** ###安装stable diffusion环境 进入到docker容器内,选择一个目...
支持多种设备和加速器 — DJL Serving 支持在 CPUs GPUs、和 AWS Inferentia 上部署模型。 性能 – DJL Serving 在单个 Java 虚拟机 (JVM) 中运行多线程推理以提高吞吐量。 动态批处理 – DJL Serving 支持动态批处理以提高吞吐量。 自动扩缩 – DJL Serving 会根据流量负载自动扩展或缩减工作线程。
Move djl-serving project from djl repo Aug 18, 2021 settings.gradle.kts Adds grpc plugin (#2388) Sep 16, 2024 DJL Serving Overview DJL Serving is a high performance universal stand-alone model serving solution powered byDJL. It takes a deep learning model, several models, or workflows and ...
Our proposed solution uses the newly announced SageMaker capabilities, DJLServing and DeepSpeed Inference, for large model inference. As of this writing, all Transformer-based models are supported. This solution is intended for parallel model inference using a single ...
此外，TFServing还支持更多的后端存储服务。因此，在部署模型服务时，TFServing是一个更好的选择。
风蜚语天/djl-serving 代码 Issues 0 Pull Requests 0 Wiki 统计 流水线 服务 Gitee Pages JavaDoc 质量分析 Jenkins for Gitee 腾讯云托管 腾讯云 Serverless 悬镜安全 阿里云 SAE Codeblitz 我知道了,不再自动展开 全部 里程碑 全部 开启的 0 已合并 0 已关闭 0 排序 优先级 标签 里程碑 创建者...
docker pull deepjavalibrary/djl-serving:0.19.0-deepspeed Create our model file First, we create a file calledserving.propertiesthat contains only one line of code. This tells the DJL model server to use theDeepSpeedengine. DeepSpeed is an AWS developed large mod...
Move djl-serving project from djl repo Aug 18, 2021 settings.gradle.kts Adds grpc plugin (#2388) Sep 16, 2024 README Code of conduct Apache-2.0 license Security DJL Serving Overview DJL Serving is a high performance universal stand-alone model serving solution powered byDJL. It takes a deep...