SambaNova Systems
Category: AI Infrastructure
Provides a full-stack AI platform, including proprietary hardware (Reconfigurable Dataflow Units - RDUs) and software (SambaNova Suite), to run large-scale AI and foundation models for enterprises. Offered as a subscription service (Dataflow-as-a-Service). SambaNova Systems was founded in 2017. The company is led by Rodrigo Liang. Based in Palo Alto, California, USA. Team size: 501-1000. Total funding raised: $2.48 billion. Latest round: Series D ($676M) on April 13, 2021. Key investors include General Atlantic, Vista Equity Partners, Cambium Capital, Intel Capital, SoftBank Vision Fund 2, BlackRock, T. Rowe Price Associates, Capital Group, Qatar Investment Authority, Battery Ventures, Seligman Ventures, Google Ventures (GV).
AMW Analysis
SambaNova Systems, founded in 2017 and based in Palo Alto, provides a full-stack AI platform combining proprietary Reconfigurable Dataflow Unit hardware with its SambaNova Suite software, delivered as a subscription "Dataflow-as-a-Service" offering for enterprises running large-scale AI and foundation models. The company positions its architecture as a faster, more secure, and more cost-effective alternative to GPU-based systems for organizations deploying their own models. Recent news flow shows a rapid escalation in scale and enterprise validation: a $350 million Series E led by Vista Equity Partners with Intel participation supported its SN40L chip and a three-tier memory system, followed months later by a $1 billion Series F led by General Atlantic that lifted its valuation to $11 billion, reported as a fivefold increase within five months. Investor participation in the Series F included Seligman Ventures, T. Rowe Price, Capital Group, BlackRock, Intel Capital, SoftBank, and Qatar Investment Authority. Alongside the funding, the company secured JPMorgan Chase as a customer for on-premises AI inference in a regulated financial environment and deepened a co-development partnership with Intel, reflecting continued momentum in enterprise inference deployments.
AMW analysis, generated from 8 tracked news signals.
- Founded
- 2017
- Headquarters
- Palo Alto, California, USA
- Team size
- 501-1000
- Total funding
- $2.48 billion
Value proposition
Delivers best-in-class performance and efficiency for AI training and inference through its purpose-built, reconfigurable dataflow architecture. This offers a faster, more secure, and more cost-effective solution for enterprises to own and deploy their own foundation models compared to GPU-based alternatives.
Products and solutions
SambaNova Suite (featuring Composition of Experts and Deep Research Agents), DataScale Systems (Hardware with RDUs), Dataflow-as-a-Service (DaaS), Samba-1 (1T parameter model)
Unique value
Its custom-built Reconfigurable Dataflow Unit (RDU) is designed from the ground up for AI data flow, offering superior efficiency and performance for training and inference of large, complex models compared to repurposed GPUs.
Target customer
Large enterprises and government organizations requiring high-performance, scalable, and secure AI infrastructure for developing and deploying foundation models and generative AI applications.
Industries served
Financial Services, Healthcare & Life Sciences, Government & Public Sector, Manufacturing, Research & High-Performance Computing
Technology advantage
A full-stack, integrated hardware and software solution (Dataflow-as-a-Service) optimized for large foundation models, providing a faster, more secure, and more cost-effective alternative to traditional GPU-based systems for enterprises.
How they differentiate
Differentiates through its unique Reconfigurable Dataflow Unit (RDU) architecture, which is software-defined and optimized for dataflow in AI models, unlike the fixed architecture of GPUs. This full-stack approach (hardware and software) allows for higher efficiency and performance on complex, large foundation models.
Main competitors
Nvidia, Cerebras Systems, Groq, Graphcore
Key partnerships
AWS, SoftBank, Oracle, Hugging Face, Lepton AI
Notable customers
US Department of Energy's Argonne National Laboratory, OTP Group, SoftBank Corp, Fortune 500 companies in finance, healthcare, and government sectors
Major milestones
Secured over $2.48 billion in total funding, Reached an $11 billion valuation after Series F first close (July 2026), Raised $350M Series E (Feb 2026) led by Vista Equity Partners and Cambium Capital, Launched Samba-1, one of the first trillion-parameter models for enterprise use, Deepened Intel partnership/investment across Series C, E, and F rounds, Publicly considering a U.S. IPO in 2027
Growth metrics
Recognized as one of Fast Company's Most Innovative Companies of 2024.
Market positioning
A key challenger to Nvidia's dominance, positioned as a high-performance, specialized full-stack solution for enterprises deploying large language and foundation models at scale.
Geographic focus
Global, with a primary focus on North America, Europe, and Asia.
Patents and IP
Holds numerous patents for its core Reconfigurable Dataflow Architecture, dataflow processing systems, and methods for implementing operations in AI hardware.
About Rodrigo Liang
Rodrigo Liang is the co-founder and CEO of SambaNova Systems, a role he has held since the company's inception in November 2017. He has over two decades of experience in the semiconductor and enterprise systems industry.
Latest news about SambaNova Systems
- SambaNova raises $1B Series F at $11B valuation, signals capital consolidation in AI chip market
- SambaNova Systems valued at $11B, raises $1B in Series F for inference chips
- JPMorgan Chase selects SambaNova for on-prem AI inference in regulated finance
- SambaNova raises $1B at $11B valuation, signals enterprise inference shift
- SambaNova Systems to Quintuple Valuation to $10B as Nvidia Alternative Demand Grows
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Official website: https://sambanova.ai
