AI Cloud

AI Cloud

The Planck AI Cloud is a powerful Infrastructure-as-a-Service (IaaS) interface that offers direct GPU rental and bare-metal server operations. It’s designed for developers, researchers, and enterprises who need instant, scalable access to decentralized GPU resources.

Core Capabilities:

  • Virtual Machines with NVIDIA GPUs:

    • Deploy VMs in minutes with root access and full control.

    • Select from a wide range of configurations including A100s, H100s, and 3090s.

    • Ideal for solo developers and agile teams training models or running AI workloads.

  • GPU Clusters with H100s and H200s:

    • Provision high-performance clusters with high-speed interconnects.

    • Optimized for distributed training and compute-heavy workloads.

    • Suited for enterprises and research labs tackling massive compute jobs.

  • Managed Kubernetes Clusters:

    • Containerized workloads with simplified orchestration.

    • Perfect for microservices-based AI applications.

  • Managed Ray Clusters:

    • Deploy distributed machine learning with hyperparameter tuning and training acceleration.

    • Tailored for data science teams requiring scalable ML infrastructure.

  • Object Storage:

    • Secure and scalable storage buckets for datasets, models, and outputs.

    • Integrated into the GPU Console for seamless access.

Advanced Infrastructure Features:

  • Private Intra-Cluster Networking:

    • Secure clusters via remote VPN overlays, isolating internal traffic from public internet.

    • Built on Tier 3 and Tier 4-equivalent data centers for speed, security, and reliability.

  • Enterprise-Grade Autoscaling:

    • Includes elastic scaling, load balancing, and automated resource allocation.

    • Supports managed databases and storage for cloud-native DevOps.

  • Uptime and Reliability Segmentation:

    • Two tiers: Retail for smaller, non-critical workloads, and Enterprise for high-uptime SLAs and disaster recovery.

  • Toward Industry Certification:

    • In partnership with Rollman Group, Planck is pursuing key infrastructure certifications.

    • Aims to be among the first decentralized compute networks with full compliance for regulated industries.

The AI Cloud allows developers and enterprises to:

  • Access decentralized compute on demand

  • Scale compute workloads elastically

  • Reduce infrastructure costs by up to 90%

  • Accelerate innovation without traditional cloud complexity

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