Hammerspace, the high-performance data platform for AI Anywhere, today unveiled its solution designed to streamline enterprise data access for agentic AI applications. Aligned with the NVIDIA AI Data Platform reference design, this innovative new solution eliminates the need for costly infrastructure overhauls or new storage silos, enabling enterprises to seamlessly harness their existing data for accelerated AI computing.
Hammerspace — a member of the NVIDIA Inception program — unifies unstructured enterprise data across diverse storage architectures, geographies, and protocols, enabling organizations to convert raw data into AI-ready intelligence with unprecedented speed. By leveraging existing infrastructure and scaling seamlessly with growing needs, the platform delivers a robust foundation for Retrieval-Augmented Generation (RAG), complex agentic workflows, and the emerging era of physical AI. With Hammerspace, enterprises achieve AI-driven outcomes faster, driving innovation and competitive advantage.
Simplify the Data Estate Without Adding Another Storage Silo
Traditional AI storage infrastructure requires moving or duplicating massive datasets to specialized silos, creating fragmentation between users, applications, and storage systems. Hammerspace eliminates this challenge by providing a single global namespace that spans on-premises and cloud resources.
Using Hammerspace’s automated data objectives and tight integration with AI agents, data is intelligently tagged, tiered, and placed in the right location at the right time — optimizing both performance and cost. This automation ensures that training and inference workloads always have immediate access to the data they need, without manual data movement or complex integration layers, enhancing and accelerating AI queries.
Multi-protocol support for pNFS, NFS, SMB, and S3, with POSIX-compliant file access, ensures compatibility with existing enterprise applications, while maintaining instant access for users and AI systems alike.
Accelerate and Transform Enterprise Data for the Agentic Era
The Hammerspace Data Platform leverages the NVIDIA AI Enterprise software platform and integrates with NVIDIA accelerated computing and NVIDIA networking to deliver unmatched performance and scalability:
At the core of the architecture, Hammerspace Tier 0 delivers better than line-rate performance by unifying NVMe inside GPU nodes to accelerate processing and maximize resource utilization. The integrated Milvus vector database and Model Context Protocol (MCP) services transform unstructured enterprise data into searchable embeddings and create seamless agents and business data. This combination enables real-time access, reasoning, and retrieval for AI agents operating across the enterprise data estate.
Streamlined and Scalable AI Data Platform Packaging
The Hammerspace Data Platform for AI Anywhere is delivered as a validated, easy-to-deploy solution aligned with the NVIDIA AI Data Platform reference design. It enables customers to begin with a small, project-based configuration and scale linearly as AI workloads expand.
- Start small: Validate AI initiatives and pilot projects.
- Scale linearly: Expand seamlessly to multi-site or global architectures.
- Channel-first: Available exclusively through strategic Hammerspace channel partners, ensuring enterprise-class deployment, support, and lifecycle services.
Availability
The Hammerspace reference design for the NVIDIA AI Data Platform will be showcased at NVIDIA GTC in Washington, D.C. and will be available through authorized Hammerspace partners in late 2025.
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This entry was posted on October 28, 2025 at 2:40 pm and is filed under Commentary with tags Hammerspace. You can follow any responses to this entry through the RSS 2.0 feed.
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Hammerspace Unveils AI Data Platform Solution to Transform Enterprise Data for the Agentic AI Anywhere Era
Hammerspace, the high-performance data platform for AI Anywhere, today unveiled its solution designed to streamline enterprise data access for agentic AI applications. Aligned with the NVIDIA AI Data Platform reference design, this innovative new solution eliminates the need for costly infrastructure overhauls or new storage silos, enabling enterprises to seamlessly harness their existing data for accelerated AI computing.
Hammerspace — a member of the NVIDIA Inception program — unifies unstructured enterprise data across diverse storage architectures, geographies, and protocols, enabling organizations to convert raw data into AI-ready intelligence with unprecedented speed. By leveraging existing infrastructure and scaling seamlessly with growing needs, the platform delivers a robust foundation for Retrieval-Augmented Generation (RAG), complex agentic workflows, and the emerging era of physical AI. With Hammerspace, enterprises achieve AI-driven outcomes faster, driving innovation and competitive advantage.
Simplify the Data Estate Without Adding Another Storage Silo
Traditional AI storage infrastructure requires moving or duplicating massive datasets to specialized silos, creating fragmentation between users, applications, and storage systems. Hammerspace eliminates this challenge by providing a single global namespace that spans on-premises and cloud resources.
Using Hammerspace’s automated data objectives and tight integration with AI agents, data is intelligently tagged, tiered, and placed in the right location at the right time — optimizing both performance and cost. This automation ensures that training and inference workloads always have immediate access to the data they need, without manual data movement or complex integration layers, enhancing and accelerating AI queries.
Multi-protocol support for pNFS, NFS, SMB, and S3, with POSIX-compliant file access, ensures compatibility with existing enterprise applications, while maintaining instant access for users and AI systems alike.
Accelerate and Transform Enterprise Data for the Agentic Era
The Hammerspace Data Platform leverages the NVIDIA AI Enterprise software platform and integrates with NVIDIA accelerated computing and NVIDIA networking to deliver unmatched performance and scalability:
At the core of the architecture, Hammerspace Tier 0 delivers better than line-rate performance by unifying NVMe inside GPU nodes to accelerate processing and maximize resource utilization. The integrated Milvus vector database and Model Context Protocol (MCP) services transform unstructured enterprise data into searchable embeddings and create seamless agents and business data. This combination enables real-time access, reasoning, and retrieval for AI agents operating across the enterprise data estate.
Streamlined and Scalable AI Data Platform Packaging
The Hammerspace Data Platform for AI Anywhere is delivered as a validated, easy-to-deploy solution aligned with the NVIDIA AI Data Platform reference design. It enables customers to begin with a small, project-based configuration and scale linearly as AI workloads expand.
Availability
The Hammerspace reference design for the NVIDIA AI Data Platform will be showcased at NVIDIA GTC in Washington, D.C. and will be available through authorized Hammerspace partners in late 2025.
To learn more:
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This entry was posted on October 28, 2025 at 2:40 pm 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.