About
SambaNova AI Cloud is a complete, enterprise-grade AI infrastructure platform built around SambaNova's custom-designed Reconfigurable Dataflow Unit (RDU) chips. Unlike traditional GPU-based systems, SambaNova's dataflow technology and three-tier memory architecture are purpose-built for AI inference at scale, delivering industry-leading tokens-per-watt efficiency and dramatically lower latency for large language models. The platform offers several tiers: SambaCloud provides developer-friendly cloud access to top open-source models such as DeepSeek, Llama, and GPT-OSS via OpenAI-compatible APIs, allowing teams to onboard in minutes. SambaStack is a chips-to-model solution supporting bring-your-own checkpoints, auto-scaling, load balancing, and full model management. SambaRack is an on-premises rack-scale system for deploying AI inference workloads directly in enterprise or government data centers. SambaNova's fifth-generation SN50 RDU is purpose-designed for agentic AI, offering 3× cost savings over competing chips and a tiered memory cache that accelerates multi-model, multi-step agentic workflows. The platform also powers a global network of Sovereign AI data center partners in Australia, Europe, and the UK, enabling nations to run frontier AI within their own borders. SambaNova is ideal for AI developers seeking fast, cost-efficient inference, enterprise teams scaling LLM applications, government agencies requiring sovereign AI, and organizations exploring complex agentic AI pipelines.
Key Features
- Purpose-Built RDU Chips: Proprietary Reconfigurable Dataflow Units (RDUs) deliver faster inference and higher energy efficiency than traditional GPUs, with the SN50 being the fifth-generation chip optimized for agentic AI.
- OpenAI-Compatible APIs: SambaCloud exposes simple, OpenAI-compatible REST APIs so developers can migrate existing applications to SambaNova's infrastructure in minutes with minimal code changes.
- Multi-Model Agentic Inference: SambaStack enables switching between multiple frontier-scale models on a single node, supporting complex end-to-end agentic AI workflows with fast model bundling.
- Sovereign AI Deployments: SambaNova powers a global network of sovereign AI data centers in Australia, Europe, and the UK, enabling countries to run frontier open-source models within national borders.
- On-Premises SambaRack: SambaRack provides a rack-scale, easy-to-deploy on-premises system for enterprises and governments needing to run AI inference workloads inside their own data centers.
Use Cases
- Enterprise teams deploying large language models at scale who need fast, cost-efficient inference without GPU bottlenecks.
- AI developers building agentic applications that require rapid switching between multiple large models in a single workflow.
- Government agencies and public sector organizations requiring sovereign AI deployments within national data center boundaries.
- Startups and developers prototyping with frontier open-source models like Llama and DeepSeek via fast, OpenAI-compatible APIs.
- Organizations evaluating GPU alternatives for their AI infrastructure to reduce energy costs and improve inference throughput.
Pros
- Exceptional Inference Speed: Purpose-built RDU hardware delivers some of the fastest token generation speeds available, making it ideal for latency-sensitive and high-throughput AI applications.
- Energy Efficiency: SambaNova's architecture maximizes tokens-per-watt, significantly reducing operational costs compared to conventional GPU clusters at scale.
- Easy Developer Onboarding: OpenAI-compatible APIs mean developers can get started quickly without significant refactoring, with support for popular models like Llama and DeepSeek.
- Flexible Deployment Options: Supports cloud, managed, and on-premises deployments, giving enterprises and governments full flexibility over where and how they run AI workloads.
Cons
- Proprietary Hardware Lock-In: Full performance benefits require SambaNova's custom RDU hardware, which may limit portability compared to standard GPU-based cloud providers.
- Enterprise Focus May Limit SMB Access: Many advanced features and deployment options are geared toward large enterprises and governments, which may make it less accessible for smaller teams or startups.
- Limited Model Variety vs. General Cloud: While SambaNova supports key open-source models, it may not offer the breadth of fine-tuned or specialized models available on larger general-purpose cloud AI platforms.
Frequently Asked Questions
SambaNova uses custom Reconfigurable Dataflow Units (RDUs) instead of GPUs. These chips are purpose-built for AI inference with a dataflow architecture and three-tier memory system that delivers faster token generation and higher energy efficiency than traditional GPU clusters.
Yes. SambaNova's APIs are OpenAI-compatible, meaning most applications built for the OpenAI API can be ported to SambaCloud with minimal changes, typically in just a few minutes.
SambaCloud supports leading open-source frontier models including DeepSeek, Meta's Llama series, and GPT-OSS variants, all running at high speed on SambaNova's RDU infrastructure.
Yes. SambaRack is SambaNova's on-premises rack-scale system that allows enterprises and governments to run AI inference workloads inside their own data centers for maximum control and data sovereignty.
Sovereign AI refers to nations or regions running AI infrastructure within their own borders for data privacy and national security reasons. SambaNova powers sovereign AI data centers in Australia, Europe, and the UK through partnerships with providers like OVHcloud, Infercom, Argyll, and SouthernCrossAI.
