hammerspace.com valid

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Claim my listing on Agent Web Map for hammerspace.com:
1. POST https://agentwebmap.com/v1/sites/hammerspace.com/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://hammerspace.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/hammerspace.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/hammerspace.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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Hammerspace

Hammerspace is the Data Platform for AI Anywhere: it unifies, orchestrates, and accelerates unstructured data across on-premises, hybrid, and multi-cloud environments through a single global namespace — without copying or migrating files between silos. Its core focus is making enterprises' existing, fragmented data "AI-ready" so GPU clusters, training pipelines, and inferencing/agentic workloads can use it immediately.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T00:47:21.608Z. Cached copy · Source on hammerspace.com

# Hammerspace

> Hammerspace is the Data Platform for AI Anywhere: it unifies, orchestrates, and accelerates unstructured data across on-premises, hybrid, and multi-cloud environments through a single global namespace — without copying or migrating files between silos. Its core focus is making enterprises' existing, fragmented data "AI-ready" so GPU clusters, training pipelines, and inferencing/agentic workloads can use it immediately.

Hammerspace is not a storage array or a single cloud service — it's a metadata-driven software layer (the AI Data Platform, or "AIDP") that sits above existing storage (NAS, object, parallel file systems, cloud) and makes it behave as one system. Notes for interpreting the rest of this file:

- "AI-readiness" is Hammerspace's central pitch: fragmented, siloed data is framed as the main barrier to enterprise AI, and Hammerspace's approach is to "unify, not centralize" — cataloging data in place via Data-in-Place Assimilation rather than copying it into a new silo first.
- "Global namespace" is the core architectural concept: one logical, location-independent view of files and objects across sites, clouds, and storage vendors.
- "Tier 0" is Hammerspace's use of server-local NVMe on GPU compute nodes as a shared, orchestrated high-performance storage tier, aimed at maximizing GPU utilization and eliminating idle time (published results: 4.4x higher throughput, 56% lower latency, 66% faster checkpointing).
- Hammerspace uses standard protocols (NFS, SMB, S3) and open standards rather than proprietary clients/agents, so it integrates with existing GPU clusters and applications without rewriting them. Deployable as software, via cloud marketplace (AWS, Azure, GCP, OCI), or as a certified appliance (Dell, Supermicro, Hitachi Vantara).
- Primary audiences: enterprise IT/infrastructure teams, AI/ML platform teams, and HPC teams evaluating data orchestration, GPU utilization, and AI-readiness strategy.

## AI Data Platform (AIDP) & AI Readiness

- [AI Data Platform Overview](https://hammerspace.com/aidp-overview/): What AIDP is and how it makes existing data AI-ready without migration
- [AI Training](https://hammerspace.com/ai-training/): Feeding GPU clusters for large-scale model training
- [Sovereign AI](https://hammerspace.com/data-sovereignty/): Data residency and governance for regulated or sovereign AI deployments
- [Get AI-Ready by Putting Data First](https://hammerspace.com/get-ai-ready-by-putting-data-first/): The case for data readiness as the prerequisite to enterprise AI success
- [IDC Special Study: AI-Ready Data Storage Infrastructure](https://hammerspace.com/idc-special-study-on-ai-ready-data-storage-infrastructure/): Third-party research on what AI-ready infrastructure requires

## Platform Architecture

- [Platform Overview](https://hammerspace.com/platform-overview/): How the data platform, global namespace, and orchestration engine work together
- [Product Architecture](https://hamm
…

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