# Sambanova

> SambaNova Systems develops custom AI chips (RDUs) and software platforms optimized for large language model inference and generative AI workloads in enterprise environments.

**Category:** saas / unknown  
**Domain:** sambanova.ai  
**Source:** [Toneeto](https://www.toneeto.com/discover/sambanova.ai)  
**Last updated:** March 26, 2026

## Changelog

### Mar 19, 2026 — Funding Round

SambaNova has a free tier available; SambaNova raised $350M in Series E funding

- SambaNova has a free tier available _(90% confidence (cross-referenced))_
- SambaNova raised $350M in Series E funding _(90% confidence (cross-referenced))_

### Feb 24, 2026 — New Feature

SambaNova introduced the SN50 RDU chip on 2026-02-24

- SambaNova introduced the SN50 RDU chip on 2026-02-24 _(90% confidence (cross-referenced))_

### Dec 13, 2025 — New Feature

SambaNova announced collaboration with Intel

- SambaNova announced collaboration with Intel _(90% confidence (cross-referenced))_

## Pricing

| Plan | Monthly | Annual (per mo) | Type |
|------|---------|-----------------|------|
| On-Demand Pricing | — | — | subscription |

## Competitors

- [NVIDIA](https://www.toneeto.com/discover/nvidia.com)
- [Google Cloud AI](https://www.toneeto.com/discover/googlecloudai.com)
- [Amazon Web Services AI](https://www.toneeto.com/discover/amazonwebservicesai.com)
- [NVIDIA (GPU/AI Infrastructure)](https://www.toneeto.com/discover/nvidia(gpu/aiinfrastructure).com) — SambaNova differentiates through custom RDU (Reconfigurable Data Unit) chips optimized for LLM inference vs. NVIDIA's general-purpose GPUs. SambaNova targets lower latency and cost-per-inference; NVIDIA dominates market share but SambaNova claims superior efficiency for specific workloads.
- [Cerebras](https://www.toneeto.com/discover/cerebras.com) — Both offer custom silicon for AI workloads. Cerebras focuses on training with wafer-scale chips; SambaNova targets inference and deployment with RDUs. SambaNova positions as more practical for production inference at scale.

## Audience Segments

### startup_team (50% fit)

**Use case:** Sambanova for small teams
**Why:** Insufficient evidence for specific segmentation, defaulting to startup_team
**Key considerations:** ease of use, value for money

## Gotchas & Limitations

- Limited user reviews available [major]

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*Data verified by [Toneeto](https://www.toneeto.com/discover/sambanova.ai). JSON available at [/api/co/sambanova.ai](https://www.toneeto.com/api/co/sambanova.ai).*