Hammerspace Launches AI Data Platform Based on NVIDIA Reference Design
Hammerspace announced today the general availability of its new AI Data Platform (AIDP) solution. AIDP is a turnkey approach that removes one of the biggest barriers preventing enterprise AI pilot projects from reaching production: seamless access to distributed enterprise datasets. It does this without creating new copies, performing slow migrations, or relying on manual preparation and curation, dramatically simplifying and securing the process of curating AI-ready data.
The Hammerspace AIDP meets enterprises where they are by allowing them to start making their existing data AI-ready using the infrastructure they already own, without deploying a separate AI storage system. By uniquely leveraging data in place, Hammerspace eliminates the need to purchase massive amounts of new flash just to house AI data.
Solving the Primary Blockers to Enterprise AI Success
Eliminate Data Fragmentation. Identifying, gathering, organizing, and transforming unstructured data into an AI-ready format remains labor-intensive and highly manual. In most enterprises, the same work–finding the right data, enriching metadata, and shaping it into a form AI agents and models can use–is repeated across teams, projects and platforms because the data estate is fragmented. Hammerspace eliminates data fragmentation by providing a unified view across heterogeneous systems and automating the entire pipeline that produces AI-ready data for applications.
Skip Costly Mass Migrations. By enabling customers to use data in place, Hammerspace eliminates tedious migrations and the heavy manual work behind copy-first pipelines that consume human capital and stall initiatives. Instead of requiring a new AI storage buildout just to get started, the platform accelerates time to value and time to answer by making distributed data immediately usable for enterprise AI.
Reduce Data Copies. Hammerspace defeats data gravity by continuously cataloging distributed data in place, then using its Model Context Protocol (MCP) server to coordinate with NVIDIA and other AI tools and applications so only the data that’s needed moves, when it’s needed. With policy- and security-driven automation managing placement and flow end to end, vectors and source data stay continuously synchronized with consistent governance, compliance and performance. This allows pilot programs to scale cleanly into production with operational simplicity.
Image 1: The Hammerspace AI Data Platform: Seamless Access to Distributed Enterprise Datasets
Delivered and Validated by SHI, the Premier Experts in AI Transformation
SHI has been a key partner in the development and testing of the Hammerspace AI Data Platform solution, using its AI and Cyber Lab to quickly showcase the value and integrations across technologies for enterprise-scale AI factories.
Full End-to-End Solution on Cisco UCS with Secuvy DSPM
Hammerspace also delivers solutions that meet enterprise demands across the spectrum by combining best-of-breed technologies from its ecosystem partners. To provide organizations with a complete, validated and secure AI infrastructure, Hammerspace has established key partnerships and achieved major integration milestones.
All-in-One Orchestration: Hammerspace collapses as many as 15 disconnected tools for data discovery, cataloging, classification, policies and movement into a single orchestration layer, providing unified data insight, management and access. The platform is also the first to deliver a fully agentic data foundation, intelligently managing data placement and flow based on real-time demand.
NVIDIA Partnership: The Hammerspace AIDP is built on NVIDIA’s reference design, ensuring optimal performance and compatibility with accelerated computing platforms, including NVIDIA RTX PRO 6000 and RTX PRO 4500 Blackwell Server Edition GPUs. Using NVIDIA AI Enterprise software, including NIM microservices and NeMo Retriever, Hammerspace converges data management with data orchestration across heterogeneous storage to simplify and automate the data pipeline and deliver the security, governance and content indexing required for high-performance inference, retrieval-augmented generation (RAG) and agentic AI.
Secuvy DSPM Integration: The Hammerspace AIDP is integrated with Secuvy’s Data Security Posture Management (DSPM) technology, providing customers with an end-to-end solution that prepares and delivers AI-ready data while ensuring continuous security monitoring, compliance, and governance throughout the entire data pipeline.
Hardware Platform Flexibility: Hammerspace’s software-defined architecture provides the ultimate flexibility for the modern enterprise. Our AIDP can be delivered on a broad ecosystem of industry-leading hardware from partners including Cisco, Lenovo, and Supermicro. It seamlessly integrates with any server environment that meets performance specifications, ensuring organizations can leverage their preferred infrastructure without compromise.
Availability and More Information
Hammerspace will feature its AI Data Platform in Booth #7040 at NVIDIA’s GTC 2026, March 16-19, in San Jose, California.
The solution is immediately available. Customers can contact their Hammerspace sales representative or authorized partners to operationalize their data for AI success.
This entry was posted on March 17, 2026 at 8:54 am and is filed under Commentary with tags Hammerspace. You can follow any responses to this entry through the RSS 2.0 feed.
You can leave a response, or trackback from your own site.
Hammerspace Launches AI Data Platform Based on NVIDIA Reference Design
Hammerspace announced today the general availability of its new AI Data Platform (AIDP) solution. AIDP is a turnkey approach that removes one of the biggest barriers preventing enterprise AI pilot projects from reaching production: seamless access to distributed enterprise datasets. It does this without creating new copies, performing slow migrations, or relying on manual preparation and curation, dramatically simplifying and securing the process of curating AI-ready data.
The Hammerspace AIDP meets enterprises where they are by allowing them to start making their existing data AI-ready using the infrastructure they already own, without deploying a separate AI storage system. By uniquely leveraging data in place, Hammerspace eliminates the need to purchase massive amounts of new flash just to house AI data.
Solving the Primary Blockers to Enterprise AI Success
Eliminate Data Fragmentation. Identifying, gathering, organizing, and transforming unstructured data into an AI-ready format remains labor-intensive and highly manual. In most enterprises, the same work–finding the right data, enriching metadata, and shaping it into a form AI agents and models can use–is repeated across teams, projects and platforms because the data estate is fragmented. Hammerspace eliminates data fragmentation by providing a unified view across heterogeneous systems and automating the entire pipeline that produces AI-ready data for applications.
Skip Costly Mass Migrations. By enabling customers to use data in place, Hammerspace eliminates tedious migrations and the heavy manual work behind copy-first pipelines that consume human capital and stall initiatives. Instead of requiring a new AI storage buildout just to get started, the platform accelerates time to value and time to answer by making distributed data immediately usable for enterprise AI.
Reduce Data Copies. Hammerspace defeats data gravity by continuously cataloging distributed data in place, then using its Model Context Protocol (MCP) server to coordinate with NVIDIA and other AI tools and applications so only the data that’s needed moves, when it’s needed. With policy- and security-driven automation managing placement and flow end to end, vectors and source data stay continuously synchronized with consistent governance, compliance and performance. This allows pilot programs to scale cleanly into production with operational simplicity.
Image 1: The Hammerspace AI Data Platform: Seamless Access to Distributed Enterprise Datasets
Delivered and Validated by SHI, the Premier Experts in AI Transformation
SHI has been a key partner in the development and testing of the Hammerspace AI Data Platform solution, using its AI and Cyber Lab to quickly showcase the value and integrations across technologies for enterprise-scale AI factories.
Full End-to-End Solution on Cisco UCS with Secuvy DSPM
Hammerspace also delivers solutions that meet enterprise demands across the spectrum by combining best-of-breed technologies from its ecosystem partners. To provide organizations with a complete, validated and secure AI infrastructure, Hammerspace has established key partnerships and achieved major integration milestones.
All-in-One Orchestration: Hammerspace collapses as many as 15 disconnected tools for data discovery, cataloging, classification, policies and movement into a single orchestration layer, providing unified data insight, management and access. The platform is also the first to deliver a fully agentic data foundation, intelligently managing data placement and flow based on real-time demand.
Hardware Platform Flexibility: Hammerspace’s software-defined architecture provides the ultimate flexibility for the modern enterprise. Our AIDP can be delivered on a broad ecosystem of industry-leading hardware from partners including Cisco, Lenovo, and Supermicro. It seamlessly integrates with any server environment that meets performance specifications, ensuring organizations can leverage their preferred infrastructure without compromise.
Availability and More Information
Hammerspace will feature its AI Data Platform in Booth #7040 at NVIDIA’s GTC 2026, March 16-19, in San Jose, California.
The solution is immediately available. Customers can contact their Hammerspace sales representative or authorized partners to operationalize their data for AI success.
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This entry was posted on March 17, 2026 at 8:54 am and is filed under Commentary with tags Hammerspace. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.