# decentralized-cloud-eg-akash-storj > Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04. - **Business Profile:** https://optimly.ai/brand/decentralized-cloud-eg-akash-storj - **Dataset:** https://optimly.ai/brand/decentralized-cloud-eg-akash-storj.json - **Markdown:** https://optimly.ai/brand/decentralized-cloud-eg-akash-storj/llms.txt - **Official website:** https://akash.network - **Slug:** decentralized-cloud-eg-akash-storj - **Categories:** ai-machine-learning, cloud-infrastructure, developer-tools ## Overview - **Tagline:** Decentralized, open-source cloud infrastructure; significantly lower GPU compute costs through a reverse auction model; Docker-native compatibility; high-performance GPU access (H100, A100); 1-click AI/ML templates; and operational autonomy preventing vendor lock-in. Source: Brand's website (https://akash.network) · 2026-10-04 - **Description:** Akash Network is an open, decentralized cloud platform that enables users to tap into global GPU power at a fraction of the cost of traditional providers. It serves as a global marketplace for high-density GPUs, facilitating machine learning workloads, model training, fine-tuning, and inference in a Docker-native environment. It also allows hardware owners to monetize their idle server capacity. Source: Brand's website (https://akash.network) · 2026-10-04 ## Offerings - **Core capabilities:** - Decentralized GPU and CPU cloud compute for AI/ML workloads - container deployment - and a marketplace for hardware providers to monetize idle capacity. Source: Brand's website (https://akash.network) · 2026-10-04 - **Pricing:** Market-driven pricing determined by a global reverse auction, with costs displayed per hour for various GPU models, emphasizing cost savings over legacy providers. Source: Brand's website (https://akash.network) · 2026-10-04 ## Audience - **Target industry:** AI/ML developers, researchers, startups, enterprises seeking cost-effective and scalable compute, and individuals/organizations with idle server hardware (GPUs/CPUs). Source: Brand's website (https://akash.network) · 2026-10-04 ## Landscape - **Competitors:** - Coreweave - AWS (Amazon Web Services) - Google Cloud - Azure (Microsoft Azure) - RunPod Source: Brand's website (https://akash.network) · 2026-10-04 Page last updated 2026-10-17.