Huawei Cloud launches Agentic AI portal '智果园'

💡Huawei Cloud's new agentic portal integrates top-tier LLMs like DeepSeek and Kimi for enterprise-grade workflows.
⚡ 30-Second TL;DR
What Changed
Supports integration of DeepSeek-V4-Pro, Kimi-K2.6, and Qwen-Image models.
Why It Matters
This platform simplifies the deployment of agentic workflows for enterprise users on Huawei Cloud, lowering the barrier to entry for multi-model orchestration.
What To Do Next
Explore the AgentArts platform documentation to see if your current LLM-based workflows can be migrated to their managed agentic environment.
Key Points
- •Supports integration of DeepSeek-V4-Pro, Kimi-K2.6, and Qwen-Image models.
- •Provides specialized agents for coding (CodeArts), office (OfficeAce), and documentation (WorkAgent).
- •Features a new Token Plan subscription for stable development and AI tool access.
- •Includes AI 'Dream Factory' for industry-specific scenarios like healthcare and scientific computing.
🧠 Deep Insight
Web-grounded analysis with 9 cited sources.
🔑 Enhanced Key Takeaways
- •Huawei Cloud's '智果园' (ZhiGuoYuan) is a core component of its broader "Silicon-Based Black Soil" strategy, which aims to build a full-stack AI ecosystem encompassing domestic chips, software toolchains, cloud infrastructure, model training, and industry applications.
- •The portal is built upon a new paradigm for Agentic AI infrastructure, focusing on creating efficient token factories, enabling continuous learning, integrating general-purpose and intelligent computing scheduling, and ensuring secure autonomous operations.
- •Beyond general-purpose agents, '智果园' features four dedicated "Industry AI Dream Factories": Smart Healthcare (which includes the RuiPath large model developed with Shanghai Ruijin Hospital), Embodied Intelligence (showcasing CloudRobo, a full-stack embodied intelligence development platform), Intelligent Manufacturing, and Scientific Computing.
- •Huawei Cloud is strategically differentiating itself by avoiding the prevailing "token price war" in the Chinese AI cloud market, instead prioritizing the enhancement of productivity and the development of robust Agentic Infra.
- •The '智果园' portal is specifically designed for AI agents, not human users, offering a "Skill-based" and "CLI-based" approach that allows agents to control cloud services through simple commands and orchestrate complex workflows autonomously.
🛠️ Technical Deep Dive
- Infrastructure: Utilizes CloudMatrix384 supernodes with MatrixLink interconnect to support hybrid compute and scale inference clusters.
- MoE Parallelism: Employs expert parallelism in Mixture-of-Experts (MoE) models, enhancing single-PU throughput by 4–5 times.
- Memory-Centric Storage: Features AMS Agentic Memory Storage, providing PB-level memory space with KV Cache layered pooling to reduce inference costs and overcome long-term memory bottlenecks for day-long agent tasks.
- Unified Scheduling: Integrates CCE Volcano Next for unified scheduling across compute, AI, and storage resources, aiming for over 30% improvement in resource utilization.
- AI Computing Cluster: The AICS Lingqu AI Computing Cluster supports a 100,000-card cluster scale with a total computing power of 200 EFLOPS, reducing token generation latency to under 10 milliseconds and achieving 5 million tokens per second throughput per thousand cards.
- Runtime Foundation: Includes AgentSphere Secure Autonomous Runtime Foundation, enabling sub-100-millisecond startup and the creation of tens of thousands of batch agents per minute using lightweight sandboxes.
- Model Service Platform: The upgraded ModelArts Next platform offers enhanced model matrices, semantic routing, RLaaS (Reinforcement Learning as a Service), and hardware-level trusted environments, supporting over 15 SOTA models and providing various model routing strategies.
- AI Security: Incorporates a comprehensive AI security protection system across cloud, network, edge, model, and application layers, including auditing, rollback, model version control, sandboxing, and anomaly detection.
🔮 Future ImplicationsAI analysis grounded in cited sources
⏳ Timeline
📎 Sources (9)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
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Original source: IT之家 ↗

