# Akash Network Head > Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04. - **Business Profile:** https://optimly.ai/brand/akash-network-head - **Dataset:** https://optimly.ai/brand/akash-network-head.json - **Markdown:** https://optimly.ai/brand/akash-network-head/llms.txt - **Official website:** https://akash.network - **Slug:** akash-network-head - **Categories:** cloud-infrastructure ## Overview - **Tagline:** Akash Network offers significantly lower GPU compute costs (e.g., H100s for $1.33/hr vs AWS at $3.93/hr) through its decentralized, market-driven pricing model. It supports Docker-native deployments without refactoring, provides 1-click templates for AI/ML workloads, offers a global silicon supply, enables Ray distributed clusters, and ensures operational autonomy with resilience against single points of failure. Source: Brand's website (https://akash.network) · 2026-10-04 - **Description:** Akash Network provides a decentralized cloud computing marketplace that allows users to rent high-performance GPUs and CPUs for AI/ML workloads and general Docker container deployments at a fraction of the cost of traditional cloud providers. It also enables individuals and organizations with idle server capacity to monetize their hardware by becoming compute providers. Source: Brand's website (https://akash.network) · 2026-10-04 ## Offerings - **Core capabilities:** - Akash Network offers a decentralized GPU and CPU cloud compute marketplace - including AkashML for pre-configured machine learning environments and Akash Console for general Docker container deployments. It also provides a platform for compute providers to monetize their idle server capacity. Source: Brand's website (https://akash.network) · 2026-10-04 - **Pricing:** Market-driven pricing determined by a global reverse auction, resulting in significantly lower costs compared to legacy providers by maximizing hardware utilization and minimizing overhead. Source: Brand's website (https://akash.network) · 2026-10-04 ## Audience - **Target industry:** AI/ML developers, researchers, startups, and enterprises seeking cost-effective and scalable GPU compute; businesses looking for independent and decentralized cloud infrastructure; individuals and organizations with idle server capacity seeking to monetize it. Source: Brand's website (https://akash.network) · 2026-10-04 ## Landscape - **Competitors:** - Coreweave - AWS - Google Cloud Source: Brand's website (https://akash.network) · 2026-10-04 Page last updated 2026-10-17.