SambaNova

Founded by Rodrigo Liang in 2017

Run large language models and artificial intelligence agents on custom dataflow hardware chips

Pricing model

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use SambaNova to run large language models and complex agent workflows using custom dataflow chips. The system provides high-speed inference through hardware units called RDUs, lowering energy consumption and data center operating costs. Developers can connect using OpenAI-compatible APIs to deploy open-weight models quickly. For enterprise data centers, it provides integrated rack hardware that handles multi-trillion parameter models without rebuilding facility infrastructure. It also includes cluster management tools to balance incoming requests, monitor health, and automatically scale computing resources across deployments.

What SambaNova does

Deploy open-weight artificial intelligence models using OpenAI-compatible APIsMonitor inference throughput and hardware power consumption across clustersBalance query loads across multiple Reconfigurable Dataflow UnitsCache system prompts to accelerate agent response speedsHost multi-trillion parameter models inside on-premises server racksScale model serving capacity automatically based on real-time traffic demandCustom Reconfigurable Dataflow Unit chips built specifically for model inferenceThree-tier memory architecture to store model weights and agent prompt cachesOpenAI-compatible application programming interfaces for quick migrationPre-configured rack hardware designed to fit standard data center power budgetsAutomated load balancing and scaling across multi-chip configurationsSupport for multi-trillion parameter open-weight frontier models

Pricing breakdown

Pricing model: Free tier

Tutorials & Demos

Frequently asked

OpenAI

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