Hammerspace has also elevated Tony Asaro to the position of Chief Business Officer. Charging him with the responsibility of running the company’s global revenue organization. Asaro will be in charge of business development, sales operations, and strategic initiatives. Helping Hammerspace as governments and businesses continue to build their AI infrastructure and data management capabilities. In addition, his appointment will further enhance the company’s capacity to provide enterprise solutions across the globe.
“Tony has been instrumental in consistently turning strategic partnerships into measurable revenue. Durable market influence,” said David Flynn, Founder and CEO of Hammerspace. “As inference and agentic AI projects move into production, customers need to run AI on their compute. Models live without sacrificing speed, control, or governance. Tony will unify our revenue teams and accelerate how we scale that outcome with customers and partners worldwide.”
Driving AI Anywhere with Scalable Solutions
Asaro has rich experience in sales leadership and enterprise solutions. Business development, having led revenue growth in global technology companies in the past.
“When we talk about providing AI Anywhere, it is more than a pithy tagline. But is actually a necessity in order to optimize inference workloads,” said Tony Asaro, Chief Business Officer, Hammerspace. “We provide the only solution to truly deliver on this vision: data orchestration, multi-site data access, and hybrid cloud. Legacy storage systems just aren’t built to provide these capabilities for them; it’s like asking a fish to fly. Our partners recognize this and we’ve built strategic relationships with systems vendors and cloud providers as a result. Hammerspace enables them to leverage all of our superpowers in conjunction with the value they bring to the table. With their products, solutions, and services.”
This combination supports regulated, hybrid AI strategies by enabling teams to run compute near data. Reduce unnecessary movement, avoid unmanaged copy sprawl, and accelerate AI pipelines that demand consistent, high-performance data access. said Riley Burdon. “The result is an operating model that can help address residency requirements. Simplify hybrid operations, and let you run AI where your data lives without proliferating unmanaged copies or rewriting workflows.”
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News Source: Businesswire.com
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