Solution
AI Infrastructure
Stable, lightweight, and flexible IT infrastructure with unified support for both virtualized and containerized AI workloads.
Reduce Latency
Integrate computing and storage across sites of various sizes, reducing latency from data transmission.
Boost Flexibility
The software-defined, fully decoupled hardware architecture supports on-demand hardware expansion as AI workloads grow.
Support Hybrid Workloads
Facilitates unified construction, flexible deployment, and timely updates of various AI workloads.
Simplify Operations
Simplifies infrastructure management, improving the efficiency of AI applications and resource maintenance.
A Unified Infrastructure
for Your AI Workloads
With the Arcfra Enterprise Cloud Platform, your workloads get on-demand CPU and GPU resources, supporting both virtualized and containerized AI applications. Arcfra Block and File Storage provide versatile, high-performance storage for diverse AI data needs.
Converged Compute
On the Arcfra Enterprise Cloud Platform, hosts in the cluster can be flexibly configured with GPUs of varying numbers and models. Arcfra supports GPU passthrough and vGPU, as well as technologies like MIG (Multi-Instance GPU) and MPS (Multi-Process Service), allowing for flexible GPU partitioning to enhance GPU utilization and AI application performance in virtualized and containerized environments.
Converged Workloads
With Arcfra Kubernetes Engine, you can use Arcfra Enterprise Cloud Platform to support both virtualized and containerized AI applications. Integrated deployment allows for efficient resource allocation, meeting diverse needs for performance, security, scalability, and agility across different AI workloads, thereby improving resource utilization and reducing overall costs.
Converged Storage
With its robust storage capabilities, Arcfra provides exceptional performance and stability for AI applications. Features like I/O localization, cold/hot data tiering, Boost mode, RDMA support, and volume pinning meet AI storage needs. Arcfra’s storage technology adapts to various hardware options, supports flexible scaling, and helps balance business requirements with cost considerations.