Executive Summary
The AI Imperative:Why Now?
AI is no longer experimental — it is the core engine of enterprise competitiveness.
As organizations accelerate toward generative AI,autonomous agents,and real-time inference at scale, traditional infrastructure is reaching its breaking point.According to industry analysts,inference workloads are projected to dominate over 70%of AI compute demand by 2028,while heterogeneous accelerators and fragmented platforms drive soaring costs and operational complexity.Enterprises must move beyond siloed GPU clusters and legacy Kubernetes setups to unlock true AI productivity at scale.
Why EAF?
EasyStack AI Foundation (EAF)is the unified Cloud &AI Infrastructure Platform purpose-built for this newera.It delivers an integrated,AI-first architecture that converges compute governance,Model-as-aService (MaaS),and AI application enablement into a single,cohesive platform.
EAF transforms disparate AI resources into a strategic,future-ready infrastructure layer — enabling organizations to seamlessly orchestrate NVIDIA GPUs,Hygon DCUs and other accelerators under one unified control plane.
What Problems Does It Solve?
Enterprises today face four critical infrastructure challenges:
- Low GPU utilization due to coarse-grained resource allocation and isolated workloads
- Fragmented AI infrastructure,with separate systems for compute,model serving,and applications
- Heterogeneous accelerator complexity,including NVIDIA GPUs,Hygon DCUs,and Ascend NPUs requiring unified management
- Operational inefficiency,where AI model deployment,scaling,and lifecycle management remainslow and manual
Unlike conventional Kubernetes or point solutions,EAF provides deep,built-in intelligence for fine-grained virtualization (MIG +HAMi),model lifecycle orchestration,and AI agent readiness.
What Transformative Business Value Does It Deliver?
EAF turns AI infrastructure into a measurable competitive advantage:
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- High efficiency gains — Fine-grained partitioning boosts accelerator utilization from ~25%to 70-80%,significantly lowering TCO
- Accelerated time-to-value — Model deployment and scaling reduced from weeks to minutes through integrated MaaS capabilities
- Unified multi-accelerator sovereignty —“One Cloud, Multi-Accelerator” approach protects investments while enabling seamless AI adoption
- Enterprise-grade AI readiness — Full support for large-scale inference,training,and autonomous agents in a governed,observable environment
- Strategic agility — Faster innovation cycles and reduced operational overhead empower IT teams to focus on business outcomes
Why EasyStack?
EasyStack stands apart through its proven expertise in large-scale,cloud-native infrastructure and a deep understanding of enterprise AI requirements.While hardware vendors focus on silicon and pure-play platforms address only fragments of the stack,EasyStack EAF delivers the complete end-to-end AI infrastructure platform — from resource pooling and virtualization to MaaS and AI application runtime.
This full-stack,AI-native design positions organizations to not only meet today’s demands but to lead in the intelligent enterprise era:
EAF — Powering the next generation of enterprise AI infrastructure
- Multi-accelerator resource enablement (GPU,DCU,NPU)
- AI model lifecycle management (MaaS)
- AI application enablement and runtime environment
- Cloud-native orchestration and observability
This end-to-end capability allows enterprises to build a truly unified,future-ready AI infrastructure that is both cloud-native and AI-native by design.