GPUs

Planck's decentralized GPU network is the heart of our AI cloud, providing the raw computational power that fuels the next generation of AI applications. By harnessing the collective resources of both enterprise-grade and retail-grade GPUs, Planck is building a truly accessible and scalable infrastructure for AI development and deployment.

Permissionless Onboarding, Powered by Planck Chain

Our Layer-1 AI blockchain, Planck Chain, is designed to facilitate the seamless and permissionless onboarding of GPUs, regardless of their origin or scale. This means that anyone, anywhere, can connect their GPUs to the Planck network and contribute to the growing pool of computational resources.

Enterprise-Grade GPUs

Planck's network incorporates a vast array of enterprise-grade GPUs, providing the massive computational power required for demanding AI workloads. These high-performance GPUs are specifically designed for data centers and large-scale AI applications, offering exceptional performance, efficiency, and reliability.

Key Enterprise-Grade GPUs on the Planck Network:

• NVIDIA H100: The latest flagship GPU from NVIDIA, the H100 delivers unparalleled performance for AI training and inference, with significant improvements in speed, memory capacity, and interconnect technology.

• NVIDIA A100: A powerful and versatile GPU widely used in data centers and cloud computing, the A100 offers exceptional performance for a wide range of AI workloads, including deep learning, machine learning, and high-performance computing.

• AMD Instinct MI250X: AMD's top-of-the-line GPU, the MI250X boasts impressive performance for AI and HPC applications, with high memory bandwidth and advanced compute capabilities.

Retail-Grade GPUs

Planck also embraces the power of retail-grade GPUs, recognizing the vast potential of these readily available resources. By enabling the onboarding of GPUs commonly found in gaming PCs and workstations, Planck expands access to AI compute and empowers individuals to participate in the AI revolution.

Key Retail-Grade GPUs on the Planck Network:

• NVIDIA GeForce RTX 4090: The latest flagship gaming GPU from NVIDIA, the RTX 4090 offers exceptional performance for AI tasks, making it a valuable addition to the Planck network.

• NVIDIA GeForce RTX 30 Series: The previous generation of NVIDIA's gaming GPUs, the RTX 30 series still offers impressive performance for AI workloads and expands the pool of accessible resources.

• AMD Radeon RX 7900 XTX: AMD's latest high-end gaming GPU, the RX 7900 XTX delivers competitive performance for AI tasks and contributes to the diversity of the Planck network.

Benefits of decentralization:

• Increased Accessibility: By incorporating both enterprise-grade and retail-grade GPUs, Planck makes AI compute accessible to a wider range of users, from individual developers to large organizations.

• Enhanced Scalability: The diverse nature of the network ensures that Planck can scale to meet the growing demands of the AI industry, providing the computational power needed for AI workloads of any size.

• Improved Resilience: A decentralized network with a variety of GPU sources is more resilient to outages and disruptions, ensuring greater reliability and uptime for users.

• Cost-Effectiveness: By leveraging a mix of high-performance and cost-effective GPUs, Planck offers competitive pricing and greater flexibility for users to optimize their AI compute costs.