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Is Huawei creating an AI platform that can replace thousands of office workers in the near future and cause the global AI race to enter a completely new era?
At the Huawei Cloud INSPIRE 2026 event in Shanghai, Huawei officially announced the new generation of Agentic AI solutions for businesses. This is considered a big step forward in the company's AI strategy as it not only focuses on large language models but also builds the entire infrastructure to help AI Agents learn, act, and optimize themselves in the business environment.
Unlike traditional chatbots that only respond to questions, the new generation AI Agent is designed to understand goals, plan, perform work, and continuously learn from real-life data.
New AI Agent technologies announced by Huawei
Role Solution
Agentic Infra Unified AI Infrastructure
AICS AI Computational Power Center
AMS Extremely large-scale AI memory
CCE Volcano AI Resource Coordination
AgentSphere AI Agent operating environment
ModelArts AI training and inference
The scale of AI infrastructure makes many competitors pay attention
Huawei AICS Specifications
Processing cluster size More than 100,000 AI cards
Compute capacity 200 EFLOPS
Token creation speed of 5 million tokens per second
Service availability Over 99.5%
Extremely low response latency
Number 200 EFLOPS places this platform among the most powerful AI infrastructure in the world today.
If compared relatively
Platform Strengths
NVIDIA DGX Cloud flagship AI GPU
Microsoft Azure AI Enterprise ecosystem
Google Cloud AI Multi-model AI
Amazon Bedrock AI cloud service
Huawei Agentic Infra Fully integrated Agent AI infrastructure
AMS solves AI's biggest bottleneck
One of the biggest limitations of AI Agents today is long-term memory.
Huawei introduces AMS Agentic Memory Storage with the ability to create PB-scale memory space.
This enables AI
✅ Remember data for many days
✅ Track long-term work processes
✅ Learn continuously from new data
✅ Significantly reduces inference costs
✅ Support complex business tasks
In essence, Huawei is trying to turn AI Agent into a "digital employee" capable of remembering and developing experience over time.
⚡ CCE Volcano increases resource efficiency by more than 30%.
Businesses currently often have to maintain two separate systems
AI system
Traditional application system
Huawei unites these two platforms through CCE Volcano.
Results
Increase resource usage efficiency by over 30%
Reduce hardware waste
Optimize data center operating costs
Simplify AI deployment
AgentSphere creates an autonomous operating environment for AI
One of the biggest risks of AI Agents is the ability to access data and perform unintended actions.
AgentSphere was built by Huawei to solve this problem.
Outstanding features
️ Protect your intentionsI use it
️ Isolate the execution environment
️ Super light sandbox
️ Startup only takes about 100 milliseconds
️ Create hundreds of thousands of AI sessions every minute
This is an important foundation if a business wants to deploy tens of thousands of AI Agents operating simultaneously.
ModelArts brings AI closer to businesses
Huawei also upgraded the ModelArts platform with four key capabilities
Role Features
RLaaS Reinforcement Learning as a Service
Confidential Inference Confidential Inference
Model Routing Model Routing
Model Matrix Multi-model management
In particular, Model Routing can automatically select the most suitable AI model for each requirement.
Realistic effect
Outcome Index
Model coordination accuracy Over 95%
Reduce AI calling costs by about 20%
Task creation time Approximately 1 minute
Comprehensive process visualization
What is Huawei aiming for?
While OpenAI focuses on ChatGPT, Google develops Gemini and Microsoft builds Copilot, Huawei chooses a different strategy.
The company wants to build the entire AI Agent ecosystem from hardware, storage, coordination, security to model training.
If this strategy is successful, Huawei could become one of the world's largest enterprise AI infrastructure providers in the next decade.
The global AI Agent market value is predicted by many organizations to reach hundreds of billions of dollars before 2030 and Huawei clearly does not want to stay out of this game.
Illustration of suggestions for insertion in the article
️ Image of Huawei large-scale AI data center
️ Enterprise AI Agent diagram
️ Performance AI server clusterhigh
️ Huawei Cloud cloud computing system
️ Illustration of AI Agent working in a business
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