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§ Private Profile · San Diego, CA, USA
Nervana is a technology company.
Nervana Systems develops specialized artificial intelligence software and high-performance hardware to facilitate deep learning. The company focuses on creating a robust AI/machine learning-as-a-service platform, designed to enable businesses to integrate advanced machine learning models and make their applications more intelligent and efficient. Its offerings address the compute-intensive demands of modern AI workloads, providing foundational infrastructure.
The company was founded in 2014 by Naveen Rao, Amir Khosrowshahi, and Arjun Bansal. Their collective insight centered on the escalating computational requirements of deep learning, leading them to build dedicated systems that could accelerate AI development and deployment. Based in both San Diego and Palo Alto, Nervana Systems emerged from a recognition that mainstream computing architectures were insufficient for the next generation of AI.
Nervana Systems serves companies that require significant AI acceleration to enhance their operations and products. Its vision is to democratize advanced artificial intelligence by providing the underlying high-performance infrastructure necessary for large-scale machine learning. This strategic focus aims to push the boundaries of what is possible with AI, empowering a wide range of enterprises to harness its transformative power.
Nervana has raised $24.9M across 3 funding rounds.
Nervana has raised $24.9M in total across 3 funding rounds.
Nervana has raised $24.9M across 3 funding rounds. Most recently, it raised $21.0M Series A in June 2015.
Nervana has raised $24.9M in total across 3 funding rounds.
Nervana's investors include DCVC (Data Collective), Bonfire Ventures, Eclipse Ventures, Lux Capital, Mithril Capital Management, Henrik Rosendahl, Allen & Co., AME Cloud Ventures, CME Ventures, Draper Fisher Jurvetson, Fuel Capital, Omidyar Network.
# Nervana Systems: High-Performance AI Infrastructure Pioneer
Nervana Systems was an artificial intelligence software company that developed full-stack deep learning solutions for enterprises[1]. The company built both software and custom hardware optimized specifically for training and deploying deep learning models, positioning itself at the intersection of AI infrastructure and enterprise software. Rather than serving end consumers, Nervana targeted organizations seeking to build custom AI applications, offering them a complete platform—the Nervana Cloud—that combined optimized software frameworks with purpose-built hardware to accelerate deep learning workloads.
The company's core value proposition centered on performance: Nervana claimed its solutions would outperform existing frameworks and hardware through specialized optimization techniques unavailable in general-purpose alternatives[1]. This focus on raw computational efficiency for AI workloads reflected the broader industry recognition that deep learning at scale required rethinking infrastructure from the ground up.
Nervana was founded in 2014 by Naveen Rao (CEO), Amir Khosrowshahi (CTO), and Arjun Bansal (VP Algorithms)[1]. The founding team brought deep expertise in machine learning and systems optimization, with Khosrowshahi notably being the cousin of Dara Khosrowshahi (later CEO of Uber). The company quickly gained traction in the competitive AI infrastructure space, raising $20.5 million in Series A funding in June 2015 from a prestigious syndicate including Data Collective, Draper Fisher Jurvetson, Lux Capital, and others[1]. By August 2016—just two years after founding—Intel acquired Nervana for an estimated $408 million, signaling the strategic importance of specialized AI hardware and software to major semiconductor companies[1].
Nervana emerged during a critical inflection point in AI infrastructure (2014–2016) when deep learning was transitioning from academic research to enterprise deployment. The company rode several converging trends: the explosion of GPU-accelerated computing, the maturation of deep learning frameworks, and growing enterprise demand for AI capabilities.
Nervana's acquisition by Intel reflected a broader industry shift: major semiconductor manufacturers recognized that general-purpose processors and graphics cards were insufficient for AI workloads at scale. By acquiring Nervana, Intel gained specialized expertise in AI-optimized hardware design and a proven software platform—assets that would inform Intel's broader AI infrastructure strategy. The company's emphasis on custom silicon for specific computational tasks presaged the later proliferation of AI accelerators from companies like Google (TPUs), Amazon (Trainium/Inferentia), and others.
Nervana Systems represented an early bet on the thesis that AI infrastructure would require purpose-built hardware and software, not merely repurposed general-purpose computing. Though the company itself was absorbed into Intel's operations, its core insight—that deep learning demands specialized silicon—proved prescient. The trajectory of AI infrastructure since 2016 has validated this vision: custom accelerators now dominate enterprise AI deployments, and the competition to build faster, more efficient AI chips has become central to semiconductor strategy.
For Intel, the acquisition provided both technical talent and a software platform to compete in the emerging AI accelerator market, though the company has faced ongoing challenges in translating this acquisition into market leadership against competitors like Nvidia and newer entrants. Nervana's legacy lives on in how the industry thinks about AI infrastructure: not as an afterthought bolted onto existing hardware, but as a fundamental design consideration requiring integrated hardware-software co-optimization.