GPU Console

GPU Console

The Planck GPU Console 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 GPU Console 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