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Description

The Alibaba Cloud IoT Platform facilitates reliable communication for IoT enterprises between their devices and the platform itself. With nodes positioned across the globe, the platform enables devices to interact swiftly and with minimal delay. Additionally, it offers a range of robust security protocols to ensure that each device remains secure while facilitating safe exchanges of information. A key feature of the Alibaba Cloud IoT Platform is its extensive data storage and processing functionality, which supports the seamless integration of APIs alongside other Alibaba Cloud offerings. Moreover, the platform's high degree of customization is enhanced by a rules engine that streamlines data analysis, storage, and application development. It accommodates device access from around the globe, utilizing diverse networks and protocols. To further bolster security, device authentication maintains the distinctiveness of each device, and encrypted communication safeguards against data manipulation. In this way, Alibaba Cloud's IoT Platform not only prioritizes performance but also emphasizes security and adaptability for various IoT solutions.

Description

Qwen3.8-27B is a 27B-class open-weights model associated with Alibaba’s Qwen3.8 model family. Alibaba’s Qwen3.8 release positioned the broader family as a top-tier large language model system optimized for coding and professional cowork scenarios. Reports indicate that Qwen3.8-27B was planned to be released as open weights alongside Qwen3.8-Max, giving developers and researchers a more accessible option than the full Max-scale model. The model is designed for users who want strong AI capability in a smaller, more deployable package. Qwen3.8-27B can support workflows such as coding assistance, AI agents, research tasks, document analysis, data work, and self-hosted experimentation. The larger Qwen3.8-Max release is described as targeting coding, research, professional work, and multimodal tasks, and Qwen3.8-27B appears to serve builders who need a more practical model size for local or private infrastructure. QwenCloud documentation confirms that the Qwen3.8 generation includes modern capabilities such as thinking, function calling, built-in tools, and structured output for the Max model. Community discussion and third-party coverage also highlight interest in running Qwen3.8-27B through GGUF and local inference workflows. By combining open-weight accessibility, a 27B-class footprint, Qwen3.8-era capability, and developer-focused use cases, Qwen3.8-27B gives teams a practical model for coding and agentic experimentation.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Alibaba Cloud
Alibaba Cloud Model Studio
Alibaba Cloud Object Storage Service
Cline
ClinePass
Hermes Agent
Hugging Face
MaxCompute
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen
Qwen Code
Qwen Studio
QwenCloud

Integrations

Alibaba Cloud
Alibaba Cloud Model Studio
Alibaba Cloud Object Storage Service
Cline
ClinePass
Hermes Agent
Hugging Face
MaxCompute
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen
Qwen Code
Qwen Studio
QwenCloud

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Alibaba Cloud

Founded

2008

Country

China

Website

www.alibabacloud.com/product/iot

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai

Product Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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