Description
SambaNova is an advanced AI platform designed to provide the fastest AI inference capabilities, fine-tuning, and scalable solutions for agentic AI. With its innovative dataflow technology and memory architecture, SambaNova enables organizations to leverage AI efficiently in their existing data center infrastructures.
The platform's unique Reconfigurable Dataflow Unit (RDU) chips are at the core of its performance, allowing for rapid inference speeds while maintaining high energy efficiency. This architecture supports complex agentic AI workflows, enabling users to execute multiple frontier-scale models on a single node. SambaNova's systems, including the SambaRack SN50, are optimized for low power consumption, making them suitable for power-constrained environments.
SambaNova also emphasizes flexibility in deployment, offering simple-to-integrate APIs that are compatible with OpenAI standards. This allows developers to onboard applications quickly and manage AI workloads across data centers with ease. The platform supports a variety of leading open-source models, including Llama and DeepSeek, ensuring that users can access the latest advancements in AI technology.
With a focus on delivering high throughput and low latency, SambaNova is ideal for enterprises looking to harness the power of AI for transformative business solutions. The platform's capabilities are further enhanced by its built-in features such as auto-scaling, load balancing, and model management, which streamline the deployment and management of AI workloads. SambaNova is committed to providing a sovereign AI platform that keeps data secure while enabling business teams to self-serve AI solutions efficiently.
SambaNova's Core Features
Fast AI Inference
Energy Efficiency
Infrastructure Flexibility
OpenAI Compatible APIs
Auto Scaling
Load Balancing
Model Management
Support for Open-Source Models
How to use SambaNova?
Integrate: Use OpenAI compatible APIs to connect your applications.
Deploy: Set up SambaRack systems in your data center for AI workloads.
Manage: Utilize SambaOrchestrator for monitoring and managing model deployments.
Scale: Automatically adjust resources based on user demand.
SambaNova's Use Cases
- AI Model Deployment
- Agentic AI Workflows
- Real-Time Inference
- Data Center Optimization
- Open-Source Model Integration





