DeepSeek V4 Pro official version, Harness go live on China's National Supercomputing Internet
China's National Supercomputing Internet announced that it had
made the official version of DeepSeek V4 Pro (DeepSeek-V4-Pro-0813)
and the DeepSeek Harness agent framework available on its platform,
a move that a Chinese expert said could lower technical barriers
for domestic developers and accelerate the adoption of AI agents in
scientific research and industrial applications,
AzerNEWS reports, citing Global Times.
DeepSeek-V4-Pro-0813 places a particular emphasis on enhanced agent
capabilities. DeepSeek Harness, launched alongside the model and
open-sourced under the MIT License, adopts an "everything is a
plugin" architecture, allowing components such as models, tools,
skills and sessions to be freely replaced and recombined. It offers
four operating modes: Standard, PTC, Minimalist and Creative.
Backed by an independently developed and controllable national
computing infrastructure powered by domestic technologies, the
platform enables users to download DeepSeek models and source code,
conduct private deployments and distributed inference, and carry
out secondary development of AI agents through a one-stop service,
helping bridge the critical gap between cutting-edge large-model
research and industrial application.
According to the platform, the National Supercomputing Internet
operates China's first 100,000-accelerator resource pool
integrating supercomputing and AI computing, supporting the entire
large-model life cycle from training to deployment.
DeepSeek-V4-Pro-0813 features enhanced agent capabilities, with
particularly significant performance improvements in production
environments. Its overall performance is comparable to that of
foreign closed-source models such as Claude Fable 5 and Opus
4.8.
On August 13, the developer preview of DeepSeek Harness (v0.1) was
released for testing by agent-harness developers worldwide, with
its source code made available under the MIT License. The National
Supercomputing Internet's AI community has also made the complete
source code available, allowing developers to download the full
project files from its code repository for compilation, debugging,
further development and deployment.
The National Supercomputing Internet's AI community currently hosts
more than 1,700 popular open-source models from China and abroad,
including leading Chinese model families such as DeepSeek, Qwen,
MiniMax and Kimi.
Wang Peng, an associate research fellow at the Beijing Academy of
Social Sciences, told the Global Times that the rollout goes beyond
adding two new services. It connects an advanced model and agent
framework with national computing infrastructure, making computing
resources easier to use while strengthening compatibility with
domestic systems.
The enhanced agent capabilities of DeepSeek V4 Pro reflect a
broader shift from models that provide answers to agents that
execute tasks. Users can set a goal, while the agent plans the
workflow, calls tools and completes the task, expanding AI
applications from content generation to software engineering,
industrial simulation and scientific computing, Wang said.
For research institutions and smaller technology firms, the
integrated platform could reduce computing costs and technical
complexity. Its 100,000-accelerator resource pool supports the
entire model life cycle, while Harness's plug-in architecture
simplifies model adaptation, development and deployment.
Wang added that the MIT-licensed framework allows flexible
customization, enabling smaller teams and individual developers to
build AI agents and supporting the growth of China's domestic agent
ecosystem.
Here we are to serve you with news right now. It does not cost much, but worth your attention.
Choose to support open, independent, quality journalism and subscribe on a monthly basis.
By subscribing to our online newspaper, you can have full digital access to all news, analysis, and much more.
You can also follow AzerNEWS on Twitter @AzerNewsAz or Facebook @AzerNewsNewspaper
Thank you!
