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§ Private Profile · 1100 5th Avenue South, Suite 201, Naples, FL, USA
Software company providing workload and resource management for high-performance computing, cloud, and enterprise data centers.
Based in Naples, Florida, Adaptive Computing provides intelligent automation and workload management software for high-performance computing, artificial intelligence, and cloud environments. The company's flagship Moab platform enables large enterprises to consolidate infrastructure, schedule computing jobs, and optimize resource allocation across on-premises clusters and hybrid clouds. Operating with approximately 44 employees and generating an estimated $8.2 million in annual revenue, the firm serves over 200 Fortune 500 and Top 500 supercomputing customers globally while holding more than 50 patents. The software provider previously raised a $14 million Series A funding round led by Intel Capital, and the firm maintains strategic technology integrations with major cloud computing platforms including AWS, Google Cloud, and Microsoft Azure. Originally established as Cluster Resources, Adaptive Computing was founded in 2001 by brothers David Jackson, Michael Jackson, and Brian Jackson.
Adaptive Computing has raised $14.0M across 1 funding round.
Adaptive Computing has raised $14.0M in total across 1 funding round.
Adaptive Computing has raised $14.0M across 1 funding round. Most recently, it raised $14.0M Series A in September 2010.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Sep 1, 2010 | $14M Series A | Intel Capital | National Grid Partners, Epic Ventures, Tudor Ventures | Announced |
Adaptive Computing is a technology company specializing in advanced software for High-Performance Computing (HPC), AI, and cloud environments, powering some of the world's largest computing installations with tools like the Moab HPC Suite and Adaptive.AI as a Service.[1][3][6] It builds workload orchestration platforms that automate scheduling, resource management, and optimization for complex workloads, serving enterprises in industries such as high-tech manufacturing, aerospace, defense, life sciences, oil and gas, financial services, and government research labs.[1][4] These solutions address challenges in HPC, AI/ML, big data analytics, GPUs, IoT, and cloud migration by enabling faster simulations, cost-effective resource use, and seamless multi-cloud deployments, with hundreds of deployments including Fortune 500 and Top500 supercomputing customers.[1][3]
The company's growth is evident in its expansion from on-premises HPC to full-stack AI services, offering all-inclusive monthly pricing for enterprise AI delivery that's more cost-effective than alternatives, supporting frameworks like TensorFlow and PyTorch across AWS, Azure, GCP, and OCI.[2] With reported revenue around $8.2 million and a focus on patented intelligence engines for policy-driven optimization, Adaptive Computing drives competitive advantages in performance and management simplicity.[3][5]
Adaptive Computing traces its roots to 1996, when founder and CTO David Jackson envisioned intelligent compute-management software to optimize multi-computer environments, leading to the development of the Maui Scheduler for basic workload prioritization and fair resource sharing.[6] This laid the groundwork for over a thousand client sites worldwide.[6]
In 2001, Cluster Resources Inc. was formally founded to commercialize the next-generation Moab technology, featuring an advanced decision engine for scalable enterprise computing, dynamic resource management, and utility-based environments.[6] By 2011, the company—rebranded as Adaptive Computing—secured a landmark private cloud project for over 100,000 servers across multiple data centers, propelling innovations from infrastructure-as-a-service to platform- and application-as-a-service, earning Gartner recognition as a validated leader in real-time infrastructure and private cloud solutions despite its smaller scale.[6] This evolution humanizes a journey from academic scheduler roots to enterprise-scale HPC and AI orchestration.[1][6]
Adaptive Computing rides the convergence of HPC, AI, and hybrid/multi-cloud computing, enabling massive-scale simulations and AI training critical for trends like generative AI, big data analytics, and accelerated computing.[1][2] Timing is ideal amid surging demand for GPU-optimized, cost-efficient infrastructure, as enterprises shift from siloed HPC to portable, federated environments for disaster recovery and cloud bursting.[1][2][4]
Market forces like exploding AI workloads, energy cost pressures, and the need for application portability favor its policy-driven orchestration, which maximizes ROI on expensive resources while simplifying management for non-experts.[5] It influences the ecosystem by powering pivotal installations in manufacturing (CAE/CFD), defense, and research, fostering innovation in sectors from drug discovery to energy exploration, and partnering with supercomputing leaders like Cray to democratize high-end compute.[4][7]
Adaptive Computing is poised to capitalize on enterprise GenAI infrastructure demand, expanding its AI-as-a-Service model with deeper multi-cloud bursting, edge/IoT integration, and sustainability features like advanced power optimization.[1][2][5] Trends like agentic AI, exascale computing, and hybrid sovereignty will shape its path, potentially driving acquisitions or partnerships with hyperscalers to scale beyond current deployments.[6]
Its influence may evolve from niche HPC optimizer to mainstream AI enabler, as more SMBs adopt its cost-effective stacks amid Big Tech pricing wars—cementing its role in turning raw compute into strategic advantage, much like its foundational vision unlocked global supercomputing potential.[1][6]
Adaptive Computing has raised $14.0M in total across 1 funding round.
Adaptive Computing's investors include Intel Capital, National Grid Partners, Epic Ventures, Tudor Ventures.