SambaNova provides a purpose‑built AI inference stack that combines its fifth‑generation Reconfigurable Dataflow Unit (RDU) chips, a three‑tier memory architecture, and a dataflow processing model to deliver fast, low‑latency inference for trillion‑parameter models while maximizing tokens per watt. The platform includes turnkey software layers (SambaStack, SambaCloud, SambaManaged) and hardware (SN50 RDU chip, SambaRack) that support hybrid GPU/Kubernetes deployments and OpenAI‑compatible APIs for enterprise AI teams and cloud inference providers.
Funding
$1.5B raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises and AI service providers struggle to run large language models and agentic AI workloads at scale due to high energy consumption, latency, and the need for extensive hardware that moves large amounts of data between compute units.
Solution
SambaNova delivers a purpose-built AI inference stack that combines its fifth‑generation Reconfigurable Dataflow Unit (RDU) chips, a three‑tier memory architecture, and a dataflow processing model to maximize tokens per watt. The SN50 RDU chip and SambaRack hardware provide fast, low‑latency inference for trillion‑parameter models while reducing power usage. Integrated software layers—SambaStack, SambaCloud, and SambaManaged—offer turnkey deployment, model bundling, and API compatibility, enabling customers to run open‑source and proprietary models efficiently on‑premise or in the cloud. The platform also supports hybrid configurations with GPUs and standard Kubernetes environments, giving flexibility to existing infrastructures.
Target Audience
Primary customers are enterprise AI teams, cloud inference providers, and government or sovereign AI operators that require high‑throughput, low‑latency inference for large language models and agentic applications.
Features
- SN50 RDU chip delivers the highest tokens‑per‑watt performance for agentic AI inference.
- Three‑tier memory architecture enables rapid switching between multiple large models in milliseconds.
- Dataflow architecture minimizes data movement, improving speed and energy efficiency.
- SambaRack SN50 integrates 16 RDU chips, scaling to 256 accelerators for models up to 10 trillion parameters.
- Full‑stack software (SambaStack, SambaCloud, SambaManaged) provides model bundling, turnkey deployment, and OpenAI‑compatible APIs.
- Supports hybrid deployments with GPUs and Kubernetes, allowing seamless integration with existing AI stacks.
- Built‑in security and data privacy: no prompts or user data are stored by SambaCloud.