GPU Console

The Planck GPU Console is a comprehensive and user-friendly platform designed to streamline your access to a vast array of computational resources, enabling you to effortlessly manage your AI infrastructure and accelerate your development workflows.

While the Planck GPU Console allows for direct GPU rental, it offers much more than just access to raw hardware. It's a complete Infrastructure-as-a-Service (IaaS) solution that provides a suite of tools and features to simplify the deployment, management, and scaling of your AI workloads.

Solutions

Effortless Virtual Machine Deployment:

• Spin Up VMs in Minutes: Quickly deploy virtual machines (VMs) pre-configured with the latest NVIDIA GPUs, including the powerful H100 and A100, tailored to your specific AI needs.

• Customizable Configurations: Choose from a variety of GPU models, CPU configurations, memory options, and storage sizes to create the perfect environment for your workloads.

• Full Control and Flexibility: Enjoy root access to your VMs, allowing you to install your preferred software, libraries, and frameworks, and customize the environment to your exact specifications.

• Ideal for: Individual developers, researchers, and small teams seeking flexible and on-demand access to GPU resources for AI/ML development, experimentation, and testing.

Powerful GPU Clusters:

• Scale for Demanding Workloads: Create and manage GPU clusters with multiple interconnected GPUs, enabling you to tackle large-scale AI training, complex simulations, and high-performance computing tasks.

• High-Bandwidth Interconnects: Leverage high-speed network connections between GPUs for optimal performance in distributed training and parallel processing, significantly reducing training times and accelerating your AI development.

• Customizable Cluster Configurations: Tailor your cluster to your specific needs by selecting the number and type of GPUs, network configuration, and storage options.

• Ideal for: Enterprises, research institutions, and AI teams requiring massive compute power for large-scale AI training, scientific simulations, and data-intensive applications.

Managed Kubernetes Clusters:

• Simplified Container Orchestration: Deploy and manage your AI applications with ease using managed Kubernetes clusters. Kubernetes automates the deployment, scaling, and management of containerized applications, simplifying your workflow and improving efficiency.

• Scalability and Reliability: Kubernetes ensures that your applications are always available and can scale to meet demand, providing a robust and reliable platform for your AI services.

• Streamlined Deployment: Deploy your AI models and applications as containerized microservices, enabling faster development cycles and easier updates.

• Ideal for: Teams deploying and managing complex AI applications, microservices, and cloud-native solutions.

Managed Ray Clusters:

• Accelerated Machine Learning: Create managed Ray clusters for distributed machine learning tasks, including training, hyperparameter tuning, and reinforcement learning. Ray simplifies the process of scaling your machine learning workloads across multiple nodes, accelerating your research and development.

• Simplified Distributed Training: Leverage Ray's powerful capabilities for distributed training, enabling you to train large models faster and more efficiently.

• Optimized for AI: Ray is specifically designed for machine learning and AI workloads, providing a framework for efficient data processing, task scheduling, and resource management.

• Ideal for: Data scientists and machine learning engineers working on large-scale machine learning projects that require distributed computing and parallel processing.

Scalable Object Storage:

• Secure and Reliable Storage: Store your data, models, and other AI assets in Planck's secure and scalable object storage. Our object storage is designed for high availability, durability, and compatibility with popular tools and frameworks.

• Cost-Effective Solution: Benefit from competitive pricing and pay-as-you-go billing, ensuring that you only pay for the storage you actually use.

• Seamless Integration: Easily integrate your object storage with your VMs, clusters, and other Planck services, streamlining your data management and AI workflows.

• Ideal for: Storing and managing large datasets, trained models, and other AI artifacts, providing a centralized repository for your valuable assets.

Flexible Payment Options:

• Traditional and Crypto Payments: Planck supports both traditional payment methods, such as credit cards, and cryptocurrency payments, offering flexibility and convenience for users.

• Pay-as-You-Go Billing: Enjoy a transparent and cost-effective pricing model with pay-as-you-go billing. Only pay for the resources you consume, optimizing your AI infrastructure costs.