Software / Platforms

Highrise AI Appoints Paul Berman as VP of Cloud Sales

4 min read


Highrise AI, a GPU-native infrastructure platform designed for production-scale AI workloads, has announced the appointment of Paul Berman as Vice President of Cloud Sales. The hire arrives as demand for dedicated GPU infrastructure accelerates sharply and the company scales deployments across its platform. Berman will lead go-to-market strategy and strategic partnerships across North America and Europe as Highrise enters its next phase of commercial growth.

A Career Built for This Moment in AI Infrastructure

Berman brings more than two decades of enterprise technology sales leadership and a consistent track record of scaling revenue at early-stage and growth-stage companies. Across his career, he has served as a first or early go-to-market hire at multiple organisations — building enterprise sales functions from the ground up and guiding companies from their initial deployments to multimillion-dollar recurring revenue businesses.

Most recently, Berman served as Vice President of Go-to-Market at PaleBlueDot AI, where he worked directly with AI startups, model developers, research labs, and enterprise teams deploying large-scale AI workloads. In that role, he focused on early enterprise adoption and strategic partnerships across the emerging GPU infrastructure ecosystem — experience that maps directly to Highrise's commercial expansion ambitions as the company deepens its dedicated GPU deployments globally.

"AI workloads are moving rapidly from experimentation into production, driving demand for infrastructure that delivers predictable performance, uncompromising security, and the ability to scale reliably. Highrise was built for this reality. As demand accelerates, we are expanding our commercial organization to better support enterprise deployments and deepen relationships with customers building large-scale AI systems. Paul has built and scaled go-to-market teams for high-growth infrastructure platforms, and his experience will be instrumental as we capture this opportunity."

— Vince Fong, Co-Founder and CEO, Highrise AI

The Market Shift: From Shared Cloud to Dedicated GPU Infrastructure

The appointment reflects a broader structural shift underway in the AI infrastructure market. As AI workloads mature from experimentation into production deployments, the limitations of shared cloud GPU environments — unpredictable performance, constrained security postures, opaque cost structures — are becoming increasingly apparent to AI-native companies and enterprises alike.

Teams running production AI systems are increasingly prioritising dedicated GPU infrastructure that gives them direct control over performance, cost, and security — rather than competing for shared resources in multi-tenant cloud environments. This demand signal is precisely what Highrise was built to address, and Berman's appointment is a direct investment in the commercial capacity needed to capture this opportunity at scale.

"We are seeing strong demand from both AI-native companies and enterprises seeking alternatives to shared cloud environments. As workloads mature, many teams are prioritizing dedicated GPU infrastructure that gives them greater control over performance, cost, and security. Highrise provides that foundation, and I look forward to working with customers and partners to help them build long-term infrastructure strategies and scale deployments on the Highrise platform."

— Paul Berman, Vice President of Cloud Sales, Highrise AI

What Highrise AI Delivers

Highrise AI is a GPU-native infrastructure platform purpose-built for the performance, security, and reliability demands of production-scale AI workloads. Unlike multi-tenant cloud GPU environments, Highrise is designed to give enterprise and AI-native customers dedicated compute resources — delivering predictable performance, uncompromising security, and the ability to scale reliably as AI deployments grow from initial pilots into mission-critical production systems.

The platform serves a client base spanning AI-native companies — including model developers and research labs — alongside traditional enterprises that are now deploying large-scale AI workloads and require infrastructure that matches the operational standards they apply to the rest of their technology estate. As Berman builds out the go-to-market organisation across North America and Europe, the commercial focus will be on helping these customers develop long-term infrastructure strategies rather than tactical point solutions.

Commercial Expansion at an Inflection Point

The VP of Cloud Sales hire signals that Highrise AI is entering a deliberate phase of commercial scale — moving beyond early deployments into a broader market push as the demand for dedicated GPU infrastructure becomes a mainstream enterprise requirement rather than a specialist niche. With a leader who has directly navigated the GPU infrastructure market and built go-to-market teams for high-growth platforms from the ground up, the company is investing in the commercial capability needed to match its infrastructure ambition.

For enterprises and AI-native organisations evaluating their long-term infrastructure strategy as production AI deployments scale, Highrise AI's expanding commercial organisation and dedicated GPU-native platform represent a compelling alternative to the performance and cost unpredictability of shared cloud environments.

Key Takeaways

  • Paul Berman has been appointed VP of Cloud Sales at Highrise AI, bringing 20+ years of enterprise technology sales leadership and experience scaling go-to-market teams for high-growth infrastructure platforms.
  • He joins from PaleBlueDot AI, where he led go-to-market strategy across AI startups, model developers, research labs, and enterprise GPU workload deployments.
  • Berman will lead commercial expansion and strategic partnerships across North America and Europe as Highrise scales dedicated GPU deployments globally.
  • The hire reflects surging enterprise demand for dedicated GPU infrastructure that delivers predictable performance, security, and cost control — as AI workloads move from experimentation into production.
  • Highrise AI is a GPU-native infrastructure platform purpose-built for production-scale AI workloads, serving both AI-native companies and enterprises requiring mission-critical compute at scale.