How Alibaba Cloud’s PAI Tackles Large‑Model Training and Inference Challenges in 2024

At the 2024 Yunqi Conference, Alibaba Cloud’s AI Infra experts detailed the latest challenges of large‑model deployment—such as hardware costs, resource management, and software‑hardware coordination—and introduced PAI’s new capabilities, including stability tools, automated distributed training, reinforcement‑learning frameworks, inference optimizations, and integrated big‑data AI solutions.

AI InfraBig Data IntegrationDistributed Training

0 likes · 14 min read

How Alibaba Cloud’s PAI Tackles Large‑Model Training and Inference Challenges in 2024

iQIYI Technical Product Team

May 31, 2024 · Artificial Intelligence

How Opal Turns iQIYI’s ML Workflow into a Unified AI Platform

Opal is iQIYI's end‑to‑end machine‑learning platform that integrates feature production, sample construction, model training, and deployment with big‑data services, addressing duplicated effort, weak data processing, and fragmented pipelines to boost efficiency across recommendation, advertising, and risk‑control scenarios.

AI OperationsBig Data IntegrationDistributed Training

0 likes · 19 min read

How Opal Turns iQIYI’s ML Workflow into a Unified AI Platform

NetEase Yanxuan Technology Product Team

Feb 6, 2023 · Databases

Database Independence Migration for Yanxuan Trading System: Architecture Evolution and Implementation

Yanxuan migrated its monolithic trading system from a shared DDB cluster to an independent database by using Netease Data Canal for real‑time sync, a write‑stop switch with Pandora middleware, account and permission isolation, and extensive testing across three phases to ensure data consistency and minimal business impact.

Big Data IntegrationData ConsistencyEnterprise Database

0 likes · 15 min read

Database Independence Migration for Yanxuan Trading System: Architecture Evolution and Implementation

Tencent Tech

Jun 23, 2022 · Big Data

Why Apache InLong’s Graduation Marks a New Era for Big Data Integration

Apache InLong, originally contributed by Tencent, has graduated to an Apache top‑level project, offering a one‑stop framework for petabyte‑scale data ingestion, processing, and reliable streaming, and is now widely adopted across advertising, payment, social, gaming, and AI industries.

ApacheBig Data IntegrationData Streaming

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Why Apache InLong’s Graduation Marks a New Era for Big Data Integration

DataFunSummit

Feb 4, 2021 · Artificial Intelligence

Full-Stack Machine Learning Platform: Architecture, Key Factors, and Implementation Details

This article examines the evolution of user data, computing power, and models, and presents the design principles, key architectural factors, and practical implementation techniques for building a full‑stack machine learning platform that supports large‑scale data processing, distributed training, and low‑latency online serving.

Big Data IntegrationMachine Learning Platformdata pipelines

0 likes · 15 min read

Full-Stack Machine Learning Platform: Architecture, Key Factors, and Implementation Details