# Axe Compute > Bare metal GPUs. 200+ locations. Your choice. Axe Compute is a GPU-as-a-Service company that delivers dedicated bare-metal GPU clusters to enterprise AI workloads across multiple global locations. Axe Compute provides dedicated bare-metal GPU infrastructure through a distributed global network for enterprise teams building AI and ML workloads. Users can deploy GPU clusters within 24–48 hours, with choice of GPU type, interconnect, and location. The company sources capacity through Aethir's distributed GPU network and delivers it under enterprise service contracts with fixed pricing and no egress fees. - Type: Company - Sector: Infrastructure - Status: Active - Founded: 2025-12-12 - Profile: https://thegrid.id/profiles/axe_compute ## Products - [Axe Compute](https://thegrid.id/profiles/axe_compute): Axe Compute is a GPU-as-a-Service platform providing enterprises with dedicated bare-metal GPU clusters for AI workloads, including large language model training, fine-tuning, and high-throughput inference. Compute capacity is sourced through a partnership with Aethir's distributed GPU network, which spans multiple global locations. Customers specify GPU type, data center region, interconnect fabric, and cluster topology; targeted provisioning time is 24 to 48 hours. Bare-metal delivery eliminates virtualization overhead. Pricing uses a flat-rate per-GPU-hour model with no data egress fees. Deployments are backed by SLA-defined uptime commitments and 24/7 engineering support. (Compute Network, Live, Main Product) ## Links - [Main](https://axecompute.com) - [Blog](https://axecompute.com/bare-metal-truth-blog) - [Twitter / X](https://x.com/axecompute) - [LinkedIn](https://linkedin.com/company/axecompute) ## Legal This data is provided under two licensing models. Model 1 - open data. The open data core is licensed under the Open Database License (ODbL) — a copyleft/share-alike license allowing free use, modification, and sharing for any purpose. Attribution is required: include "Powered by The Grid" linking to https://thegrid.id wherever the data is used. Derivative databases must be shared under ODbL terms. Trademarks, logos, and brand names (marked "Special TPIP") are not covered by the ODbL. For ML/AI use: training datasets that substantially extract ODbL data are Derivative Databases and must be shared under ODbL if publicly used; models must be attributed in documentation. Model 2 - commercial licenses. The Grid Data Service (TGDS) is also available as a commercial license. See [Web Services Terms](https://about.thegrid.id/legal/web-services-terms) for commercial use that is not covered by the open data service. The following applies to both licensing models. - All data is provided AS IS with no guarantees of accuracy. - The Grid does not provide investment, legal, or tax advice, and - a project's presence in The Grid's data does not imply endorsement. - [Data Licensing & Disclaimers](https://about.thegrid.id/legal/data-licensing-and-disclaimers): Licensing models and disclaimers - [Open Data (ODbL)](https://about.thegrid.id/legal/open-data): Open Database License terms and scope for The Grid's open data service. - [Attribution Guidelines](https://about.thegrid.id/legal/open-data-attribution-guidelines): How to attribute The Grid's data when using the open data service. - [Web Services Terms](https://about.thegrid.id/legal/web-services-terms): commercial Terms for using data services. - [All Legal Documents](https://about.thegrid.id/legal): Full index of terms, policies, and disclosures ## Optional - [TGS Field Descriptions](https://github.com/The-Grid-Data/workspace-public/blob/main/references/tgs-field-descriptions.md): Schema field definitions for The Grid's data model - [TGS JSON Structure](https://github.com/The-Grid-Data/workspace-public/blob/main/references/tgs-json-structure.md): Data model structure and relationships - [Product Type Definitions](https://github.com/The-Grid-Data/workspace-public/blob/main/references/product-type-definitions.md): Definitions for each product type - [Product Type Classification](https://github.com/The-Grid-Data/workspace-public/blob/main/references/product-type-classification.md): Guide for classifying products into types - [Grid MCP Guide](https://github.com/The-Grid-Data/workspace-public/blob/main/grid-search/skills/grid-query/references/grid-mcp-guide.md): How to query The Grid programmatically via MCP