# 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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