SambaNova Systems completed the first close of a $1 billion Series F round at an $11 billion post money valuation, led by General Atlantic, while announcing JPMorganChase as a customer deploying its SN40 and SN50 RDUs for secure on-premises agentic AI inference.
SambaNova Systems announced the first close of a $1 billion Series F financing round at an $11 billion post money valuation. General Atlantic led the round, with significant participation from Seligman Ventures, T. Rowe Price Associates, Inc., and Capital Group. Additional new and existing investors include A&E Investment, Assam Ventures, Battery Ventures, funds and accounts managed by BlackRock, Cambium Capital, Intel Capital, Kabila Capital, QFO Capital, Qatar Investment Authority (QIA), Vista Equity Partners, and Volantis. A second close with more investors is expected in the coming weeks.
This funding follows a $350 million+ Series E round in February 2026 (led by Vista Equity Partners with Intel participation) and comes roughly five months after that round and the launch of the SN50 chip. Earlier history includes a peak ~$5 billion valuation in a 2021 Series D led by SoftBank Vision Fund. The jump to $11 billion reflects strong market momentum in AI inference infrastructure.
What is SambaNova’s main focus?
SambaNova positions itself as a full stack AI infrastructure provider focused on high performance, efficient inference, particularly for emerging “agentic AI” workloads (multi step reasoning, tool use, model switching, and complex workflows). Its core technology is the Reconfigurable Dataflow Unit (RDU) architecture, which uses a dataflow approach and tiered memory optimized for inference rather than training.
Key products include:
- SN40/SN50 RDUs and SambaRack systems.
- SambaStack for model management and orchestration.
- Support for open source and frontier models (e.g., Llama variants, DeepSeek, MiniMax, OpenAI’s gpt-oss-120b) with claimed superior tokens per second and efficiency (e.g., 3X savings for agentic inference vs. competitors).
The company emphasizes on-prem/hybrid deployments, sovereign AI, energy efficiency, and flexibility for enterprises needing data control and low latency, contrasting with GPU heavy, cloud centric approaches. It highlights partnerships like with Intel for heterogeneous systems (e.g., RDUs for decode stages alongside Xeon processors).
Proceeds will expand manufacturing/supply chain capacity, accelerate R&D (chips, systems, software), and scale deployments for enterprises, neo-clouds, sovereign AI, and service providers. The company aims for profitability in the near term.
Key Customer Win: JPMorganChase
Simultaneously, SambaNova announced JPMorganChase as a customer deploying SN40 and SN50 systems for secure, on-premises AI inference. This is positioned as a major validation for enterprise grade, regulated environments where data sovereignty, reliability, and performance are paramount. JPMorganChase CIO Darrin Alves cited the need for high bars in performance, control, and reliability.
This win underscores a shift: while training has been GPU dominated, inference, especially agentic and production workloads, is creating openings for specialized hardware. Banks and enterprises prioritize on-prem control over public cloud options.
SambaNova operates in a hot AI chip market dominated by Nvidia but with growing demand for alternatives due to cost, power, supply constraints, and specialization needs. Its RDU focus on inference efficiency (tokens per watt, model bundling, disaggregated inference) targets the “inference boom” as AI moves from experimentation to production at scale.
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Strengths include:
- Technical differentiation via reconfigurable dataflow and memory architecture for agentic workflows.
- Full stack integration (chips to cloud/orchestration).
- Sovereign AI momentum (deployments in Australia, Europe, UK).
- Ecosystem ties (Intel collaboration, broad investor base including sovereign wealth).
Challenges in the broader landscape involve scaling production against established players, proving consistent real world TCO advantages, and navigating a competitive field of other challengers. The rapid valuation increase from the February round signals investor confidence in inference as a distinct, high growth segment.
The round attracted premier growth equity (General Atlantic) and institutional players, reflecting belief in AI infrastructure’s long term secular tailwinds. Quotes from investors emphasize inference’s foundational role in enterprise transformation, cost per token reduction, and production readiness.
This deal highlights a maturing AI investment thesis: beyond raw training scale, specialized inference hardware for agentic/enterprise use cases is attracting substantial capital. For SambaNova, it provides runway to capitalize on demand outpacing supply, deepen customer traction (e.g., JPMorgan as a flagship reference), and advance its platform amid sovereign and enterprise AI proliferation.
The announcement reinforces SambaNova’s trajectory as a notable player in the post training AI infrastructure wave, with the $11 billion valuation and blue chip customer validating its specialized approach in a GPU centric but diversifying market.
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