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Spheron Network

Spheron Network operates an enterprise GPU cloud marketplace. It aggregates GPU capacity from certified data-center partners, enabling AI teams to rent on-demand, spot, and reserved GPU infrastructure from a single dashboard.
Distributed

Spheron Network


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Description

Spheron Network is a decentralized compute platform connecting developers and businesses with independent GPU providers for on-demand processing power. It offers instant access to scalable GPU resources without the need for managing complex infrastructure, facilitating efficient deployment and scaling of applications.

Category: Infrastructure

GPU Recommender


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Description

GPU Recommender is Spheron’s VRAM calculator and GPU-selection tool for Hugging Face models. Users enter a model name or URL and select precision, batch size, context length, and workload type—including inference, LoRA fine-tuning, or full training—to estimate memory needs. It then ranks compatible GPU configurations by total hourly cost and provides a path to deploy on Spheron.

Category: Developer Tooling

Spheron App


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Description

Spheron App provides a GPU deployment workflow and compute catalog. Users can browse GPU configurations across providers and regions, review specifications and pricing, deploy instances, reserve long-term GPU capacity, create volumes, and manage instances, volumes, billing, teams, and settings.

Category: Compute Network

AI & LLM Training Cost Calculator


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Description

AI & LLM Training Cost Calculator is Spheron’s no-signup tool for estimating GPU compute requirements, training time, and cost for pretraining, continued pretraining, full fine-tuning, and LoRA fine-tuning. Users select model and dataset sizes, training approach, GPU type, and GPU count; the tool applies throughput and utilization assumptions, uses live Spheron pricing, and compares estimated Spheron costs with AWS, Google Cloud, and Azure on-demand pricing.

Category: FinOps Tooling