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360 Smart Cloud

Official service account of 360 Smart Cloud, dedicated to building a high-quality, secure, highly available, convenient, and stable one‑stop cloud service platform.

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Latest from 360 Smart Cloud

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360 Smart Cloud
360 Smart Cloud
Oct 31, 2025 · Artificial Intelligence

APICLOUD Enterprise Knowledge Base: Architecture, AI Search & Optimization

This article presents a comprehensive solution for constructing an enterprise‑level knowledge base using APICLOUD share‑link data, covering data characteristics, system architecture, core algorithms such as streaming token chunking and semantic vector retrieval, performance optimizations, and real‑world integration scenarios.

APICLOUDEnterprise AIKnowledge Base
0 likes · 16 min read
APICLOUD Enterprise Knowledge Base: Architecture, AI Search & Optimization
360 Smart Cloud
360 Smart Cloud
Sep 28, 2025 · Artificial Intelligence

How TLP Accelerates Large‑Model Data Annotation with Automation

The TLP platform offers comprehensive support for labeling text, image, audio, and video data, detailing the importance of high‑quality annotations for large AI models, task creation, workflow steps, review processes, and an automatic annotation feature that can boost efficiency by over 60 percent.

AI training dataData Annotationannotation platform
0 likes · 6 min read
How TLP Accelerates Large‑Model Data Annotation with Automation
360 Smart Cloud
360 Smart Cloud
Sep 26, 2025 · Artificial Intelligence

How to Turn OpenAPI Specs into AI Agent Tools with MCP: A Multi‑Language Guide

This article explains how the Model Context Protocol (MCP) bridges large language models and external services by converting OpenAPI specifications into callable tools, covering generation with openapi‑generator, mapping rules, three runtime modes (stdio, streamable, SSE), and implementation details in Java, Python, and Go.

AI AgentsGoJava
0 likes · 23 min read
How to Turn OpenAPI Specs into AI Agent Tools with MCP: A Multi‑Language Guide
360 Smart Cloud
360 Smart Cloud
May 16, 2025 · Cloud Computing

Why Cloud‑Hosted MCP Servers Are Redefining AI Application Development

The Model Context Protocol (MCP) is emerging as a de‑facto standard for AI interactions, and cloud‑hosted MCP servers are gaining traction by lowering developer barriers, enhancing SaaS integration, meeting enterprise compliance, while also facing deployment speed, traffic variability, and complex logic challenges that serverless function compute aims to resolve.

AIFunction ComputeMCP
0 likes · 9 min read
Why Cloud‑Hosted MCP Servers Are Redefining AI Application Development
360 Smart Cloud
360 Smart Cloud
Jul 17, 2024 · Artificial Intelligence

Parallelism and Memory‑Optimization Techniques for Distributed Large‑Scale Transformer Training

This article reviews the principles and practical implementations of data, pipeline, tensor, sequence, and context parallelism together with memory‑saving strategies such as recomputation and ZeRO, and demonstrates how the QLM framework leverages these techniques to accelerate large‑model training and fine‑tuning on multi‑GPU clusters.

GPUMegatron-LMMemory Optimization
0 likes · 18 min read
Parallelism and Memory‑Optimization Techniques for Distributed Large‑Scale Transformer Training
360 Smart Cloud
360 Smart Cloud
Jul 9, 2024 · Big Data

Understanding Shuffle in Spark: From Native Shuffle to External and Remote Shuffle Services (Uniffle)

This article examines the critical role of shuffle in big‑data processing, compares Spark's native shuffle with the External Shuffle Service (ESS) and Remote Shuffle Service (RSS) solutions, introduces Uniffle's architecture and configuration, and shares practical deployment experiences and performance results within a 360 internal environment.

External Shuffle ServiceRemote Shuffle ServiceShuffle
0 likes · 15 min read
Understanding Shuffle in Spark: From Native Shuffle to External and Remote Shuffle Services (Uniffle)