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This page was translated from the original Japanese version by PLaMo Translate. The Japanese version is authoritative; the English translation may contain inaccuracies.

Overview of Preferred Computing Platform (PFCP)

Preferred Computing Platform™ (PFCP™) is a cloud service developed by Preferred Networks specifically for deep learning and AI workloads. It provides exclusive access to the company’s proprietary accelerator series, the MN-Core™, enabling high-performance AI computing and exceptional computational efficiency.

Powerful Computational Boards and High-Speed Networking

Users can exclusively utilize multiple MN-Server 2 V1 servers, each equipped with eight MN-Core 2 boards. All nodes are interconnected via high-speed networking optimized for deep learning applications.

MN-Server 2 and MN-Core 2

Fully Managed Service

Access a multi-tenant Kubernetes cluster 1 that has been enhanced for deep learning and AI workloads. This platform supports a wide range of machine learning tasks, from large-scale distributed training to high-availability inference server operations. Additionally, it includes a managed monitoring service 2 for monitoring workload performance.

Other Key Features

  • Flexible management of user permissions and network access control lists (ACLs)
  • Secure data storage using high-reliability persistent storage
  • Pre-installed with numerous Kubernetes custom add-ons, allowing immediate deployment and monitoring of AI workloads
  • Supports execution from any workload configuration file using PFCP-provided container images
    • Users can also bring their own managed container images
  • Supports integration with public clouds, enabling secure access to public cloud resources without requiring high-privilege keys

  1. Kubernetes is an open-source container orchestration platform hosted by the Cloud Native Computing Foundation (CNCF). It serves as an automated tool for deploying, scaling, and managing the availability of containerized applications and has become widely adopted as the standard in this field. ↩

  2. The monitoring service consists of open-source tools including Grafana, Prometheus, and Alertmanager. ↩