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117 articles · Page 2 of 2
Didi Tech
Didi Tech
Apr 2, 2020 · Artificial Intelligence

Interview: Didi AI’s DELTA – A Unified Framework for NLP and Speech Model Development

In this interview, Didi AI Labs’ Han Kun explains how the DELTA platform unifies TensorFlow‑based NLP and speech models—supporting tasks from text classification to voice emotion recognition—through a modular, easily deployable architecture, accelerating development, powering Didi products, and now open‑sourced for broader AI collaboration.

AI platformDeltaNLP
0 likes · 14 min read
Interview: Didi AI’s DELTA – A Unified Framework for NLP and Speech Model Development
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 10, 2019 · Artificial Intelligence

Why GNNs Matter: Inside Alibaba’s AliGraph Platform for Scalable Graph AI

The article introduces AliGraph, Alibaba’s comprehensive Graph Neural Network platform showcased at NeurIPS 2019, explaining its layered architecture, scalable graph engine, extensible operators, and real‑world applications across e‑commerce, security and cloud services, while highlighting performance gains, supported algorithms, and the strategic focus on GNN research and development.

AI platformAlibabaScalable Graph Computing
0 likes · 14 min read
Why GNNs Matter: Inside Alibaba’s AliGraph Platform for Scalable Graph AI
58 Tech
58 Tech
Nov 6, 2019 · Artificial Intelligence

TensorRT Acceleration and Integration Design for the 58 AI Platform (WPAI)

This article explains how the 58 AI platform leverages NVIDIA TensorRT to accelerate deep‑learning inference on GPUs, describes three integration approaches, details the TF‑TRT implementation and Kubernetes deployment, and presents performance gains for ResNet‑50 and OCR models.

AI platformGPU inferenceKubernetes Deployment
0 likes · 7 min read
TensorRT Acceleration and Integration Design for the 58 AI Platform (WPAI)
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Oct 15, 2019 · Artificial Intelligence

How ModelArts Powers AI Development and Seamless Edge‑Cloud Deployment

This article reviews Huawei's ModelArts platform, detailing its data processing, algorithm development, high‑performance training, edge‑cloud model deployment, auto‑learning capabilities, and real‑world use cases such as invisible payment and intelligent waste classification, while outlining future ecosystem prospects.

AI platformAutoMLEdge computing
0 likes · 14 min read
How ModelArts Powers AI Development and Seamless Edge‑Cloud Deployment
Tencent Cloud Developer
Tencent Cloud Developer
Sep 20, 2019 · Artificial Intelligence

Architecture of Tencent Cloud AI Platform (YunZhiTianshu) and AI Practices on Kubernetes

The article details Tencent Cloud’s YunZhiTianshu AI platform architecture—spanning Docker/Kubernetes infrastructure, storage, six micro‑service layers and API/message gateways—while explaining core module designs, unified algorithm packaging, device and data abstraction, and practical Kubernetes deployment techniques for GPU‑accelerated AI workloads, monitoring, scaling, and security.

AI platformGPUKubernetes
0 likes · 15 min read
Architecture of Tencent Cloud AI Platform (YunZhiTianshu) and AI Practices on Kubernetes
Didi Tech
Didi Tech
Aug 2, 2019 · Artificial Intelligence

How Didi’s Open‑Source DELTA Platform Accelerates NLP and Speech Model Development

At ACL 2019, Didi unveiled DELTA, an open‑source TensorFlow‑based training framework that unifies NLP and speech tasks, offers configurable pipelines, benchmark models, and seamless deployment, enabling AI developers to quickly move from research to production while leveraging Didi’s extensive open‑source ecosystem.

AI platformNLPOpen Source
0 likes · 6 min read
How Didi’s Open‑Source DELTA Platform Accelerates NLP and Speech Model Development
Didi Tech
Didi Tech
Jun 1, 2019 · Industry Insights

Inside Didi’s Intelligent Mobility Open Platform: AI Services, Data, and Future Roadmap

The article provides an in‑depth overview of Didi’s Intelligent Mobility Open Platform, detailing its AI foundation, open‑source projects, a suite of AI services for voice, vision, mapping and safety, three smart‑mobility solution tracks, and the company’s strategic plans to expand the platform globally.

AI platformAI servicesDidi
0 likes · 5 min read
Inside Didi’s Intelligent Mobility Open Platform: AI Services, Data, and Future Roadmap
360 Tech Engineering
360 Tech Engineering
Apr 24, 2019 · Artificial Intelligence

Introduction to Kubeflow and Its Installation Process

This article introduces Kubeflow, explains the typical machine‑learning model lifecycle, outlines Kubeflow’s core components and Kubernetes advantages, provides detailed server and storage configuration, walks through ksonnet and Kubeflow installation steps, and shows how to verify deployments and access the Kubeflow UI.

AI platformKubeflowKubernetes
0 likes · 6 min read
Introduction to Kubeflow and Its Installation Process
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Apr 23, 2019 · Artificial Intelligence

Mastering Kubeflow: Deploy AI Workflows on Kubernetes Step‑by‑Step

This article introduces Kubeflow, a Kubernetes‑based machine‑learning platform, outlines the typical ML lifecycle, details core components, explains why Kubernetes benefits AI workloads, and provides a step‑by‑step guide for installing and accessing Kubeflow’s services, concluding with its industry impact.

AI platformKubeflowKubernetes
0 likes · 7 min read
Mastering Kubeflow: Deploy AI Workflows on Kubernetes Step‑by‑Step
58 Tech
58 Tech
Oct 31, 2018 · Artificial Intelligence

Overview of the WPAI AI Platform Architecture and Implementation

The article presents a comprehensive overview of the WPAI (Wuba Platform of AI) architecture, detailing its machine‑learning and deep‑learning components, feature‑engineering framework, distributed training pipelines, online prediction services, and deployment on Kubernetes‑managed GPU/CPU resources to accelerate AI applications across 58.com business lines.

AI platformWPAIfeature engineering
0 likes · 15 min read
Overview of the WPAI AI Platform Architecture and Implementation
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 27, 2018 · Artificial Intelligence

How DeepInsight Transforms Deep Learning Model Debugging with Real-Time Visualization

DeepInsight is a distributed, micro‑service‑based platform that provides end‑to‑end data exposure, multi‑dimensional visual analysis, and interactive debugging for TensorFlow models, turning opaque neural networks into transparent, controllable systems through real‑time visualizations, dynamic data sets, and integrated lifecycle management.

AI platformTensorFlowdeep learning
0 likes · 17 min read
How DeepInsight Transforms Deep Learning Model Debugging with Real-Time Visualization
Ctrip Technology
Ctrip Technology
Jun 11, 2018 · Artificial Intelligence

Ctrip Model Engine Platform: An Integrated End‑to‑End Service for Real‑Time AI Model Deployment

The article introduces Ctrip’s Model Engine Platform, a comprehensive system that streamlines feature preparation, engineering, model management, and product orchestration to enable fast, reliable real‑time AI model serving across various business scenarios, while addressing common challenges such as manual data handling, offline‑only prediction, and long development cycles.

AI platformCtripFeature Management
0 likes · 15 min read
Ctrip Model Engine Platform: An Integrated End‑to‑End Service for Real‑Time AI Model Deployment
Tencent Cloud Developer
Tencent Cloud Developer
May 29, 2018 · Artificial Intelligence

Intelligent Titanium TI-ONE: Tencent Cloud's One-Stop Machine Learning IDE

Intelligent Titanium TI-ONE is a one‑stop ML IDE on Tencent Cloud offering integrated data preparation, drag‑and‑drop algorithm development, automatic hyperparameter tuning, multi‑level collaboration, one‑click model deployment, and support for major frameworks such as TensorFlow, PyTorch, Angel and XGBoost, plus commercial features via GaiaStack.

AI platformMachine Learning PlatformModel deployment
0 likes · 10 min read
Intelligent Titanium TI-ONE: Tencent Cloud's One-Stop Machine Learning IDE
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 5, 2018 · Artificial Intelligence

How Alibaba’s AliMe Evolved in 2017: AI Architecture, Algorithms, and Real‑World Impact

In 2017 Alibaba's AliMe chatbot platform expanded from a single‑company solution to a multilingual, multi‑channel AI service, introducing platform‑level SaaS/PaaS capabilities, a seven‑layer front‑end architecture, modular back‑end design, advanced intent recognition, knowledge‑graph‑driven product management, reinforcement‑learning‑based recommendation, and machine‑reading comprehension for enterprise and consumer use cases.

AI platformAlibabaChatbot
0 likes · 23 min read
How Alibaba’s AliMe Evolved in 2017: AI Architecture, Algorithms, and Real‑World Impact
21CTO
21CTO
Sep 17, 2017 · Artificial Intelligence

Scaling JD’s AI Platform: 5K+ Containers, GPU Management, and Multi‑Tenant Kubernetes

Since September 2016, JD’s AI foundation platform has leveraged Docker and Kubernetes to build a scalable machine‑learning infrastructure that now runs over 5,000 container instances, supports more than 20 AI services, and provides unified GPU, storage, networking, and multi‑tenant capabilities for both inference and training workloads.

AI platformContainer OrchestrationGPU scheduling
0 likes · 14 min read
Scaling JD’s AI Platform: 5K+ Containers, GPU Management, and Multi‑Tenant Kubernetes
21CTO
21CTO
Aug 20, 2017 · Cloud Native

How JD Built a Scalable AI Platform on Kubernetes: Architecture, Networking, and Storage Insights

This article details JD's AI platform built on Docker and Kubernetes, covering its high‑availability architecture, network plugin choices, storage solutions like GlusterFS and SeaweedFS, GPU management, CI/CD pipelines, logging, monitoring, and native Spark on Kubernetes, illustrating how a cloud‑native stack supports large‑scale AI services.

AI platformCI/CDCloud Native
0 likes · 14 min read
How JD Built a Scalable AI Platform on Kubernetes: Architecture, Networking, and Storage Insights