Hammerspace today announced that it has been named a winner in SiliconANGLE’s 2025 TechForward Awards in the “Data Platform Tech — AI-Optimized Data Platforms” category.
The Hammerspace Data Platform stands out from other solutions in the market with an open, data-centric architecture optimized for high-performance AI and HPC workloads, making all data an instantly accessible resource for AI models, applications, compute clusters and users. By unifying global access to all data across existing storage, silos, sites and clouds, Hammerspace enables organizations to leverage their existing infrastructure without needing to purchase net-new, proprietary storage.
Hammerspace simplifies the AI journey for customers with its ability to extend into cloud-based compute environments, without disruption to existing users/applications or requiring massive data migrations into new silos. By activating the underutilized capacity customers already own in their GPU servers, Hammerspace’s Tier 0 accelerates inferencing and checkpointing and reduces the need to purchase additional external high-performance storage.
The TechForward Awards recognize the technologies and solutions driving business forward. As the trusted voice of enterprise and emerging tech, SiliconANGLE applies a rigorous editorial lens to highlight innovations reshaping how businesses operate in our rapidly changing landscape. This awards program honors both established enterprise solutions and breakthrough technologies defining the future of business, spanning AI innovation, security excellence, cloud transformation, data platform evolution and blockchain/crypto tech. Hammerspace was selected from a competitive field of nominees by a panel of industry experts and technology leaders.
For more information, visit https://siliconangle.com/awards/.
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This entry was posted on August 26, 2025 at 11:21 am 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 Wins the “Data Platform Tech — AI-Optimized Data Platforms” Category in the SiliconANGLE TechForward Awards
Hammerspace today announced that it has been named a winner in SiliconANGLE’s 2025 TechForward Awards in the “Data Platform Tech — AI-Optimized Data Platforms” category.
The Hammerspace Data Platform stands out from other solutions in the market with an open, data-centric architecture optimized for high-performance AI and HPC workloads, making all data an instantly accessible resource for AI models, applications, compute clusters and users. By unifying global access to all data across existing storage, silos, sites and clouds, Hammerspace enables organizations to leverage their existing infrastructure without needing to purchase net-new, proprietary storage.
Hammerspace simplifies the AI journey for customers with its ability to extend into cloud-based compute environments, without disruption to existing users/applications or requiring massive data migrations into new silos. By activating the underutilized capacity customers already own in their GPU servers, Hammerspace’s Tier 0 accelerates inferencing and checkpointing and reduces the need to purchase additional external high-performance storage.
The TechForward Awards recognize the technologies and solutions driving business forward. As the trusted voice of enterprise and emerging tech, SiliconANGLE applies a rigorous editorial lens to highlight innovations reshaping how businesses operate in our rapidly changing landscape. This awards program honors both established enterprise solutions and breakthrough technologies defining the future of business, spanning AI innovation, security excellence, cloud transformation, data platform evolution and blockchain/crypto tech. Hammerspace was selected from a competitive field of nominees by a panel of industry experts and technology leaders.
For more information, visit https://siliconangle.com/awards/.
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This entry was posted on August 26, 2025 at 11:21 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.