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SambaNova

SambaNova

A high-performance inference provider using custom RDU silicon to deliver industry-leading speeds for Llama-class models, optimized for developers who prioritize throughput over model variety.

Excellent for high-throughput Llama 3 inference and agentic workflows, weaker for teams requiring a broad catalog of niche or proprietary models.

Ai Acceleration Ai Development Ai Models Api Cloud Platform Inference Llm Ai Agents

Analysis based on product data, pricing structure, traffic signals, and public user sentiment.

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Who Should Use SambaNova?

Typical users

AI engineers and developers building real-time agents, high-volume chat applications, or enterprise teams requiring on-premises data sovereignty.

Maturity fit

scaling to advanced

Choose this if…

Your priority is tokens-per-second over model variety
You are building complex agentic loops that require sub-second multi-step reasoning
You need to run Llama 3.1 405B at production speeds
Your organization requires physical hardware for sovereign AI requirements

Skip this if…

You rely on proprietary models like GPT-4 or Claude
Your workflow requires a massive library of niche, fine-tuned models from Hugging Face
You prefer standard NVIDIA GPU environments for maximum software compatibility

About SambaNova

SambaNova is a full-stack AI company that designs specialized Reconfigurable Dataflow Units (RDUs) and software to accelerate generative AI. It provides an alternative to traditional GPU-based cloud providers by focusing on high-speed inference and large-scale model deployment.

Official profiles

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What it actually does

It provides an API for high-speed LLM inference and a platform for deploying models on-site or in a private cloud. Users access open-weight models like Llama 3.1 and Mistral running on specialized chips designed to maximize data movement efficiency.

What makes it different

Unlike most providers using NVIDIA GPUs, SambaNova uses a proprietary Dataflow architecture. This allows for massive memory bandwidth and parallel processing, enabling token speeds for large models like Llama 3.1 405B that significantly exceed standard cloud GPU instances.

High-speed LLM inference API On-premises AI hardware deployment Support for Llama 3.1 (8B, 70B, 405B) Samba-1 Composition of Experts (CoE) architecture Enterprise-grade data sovereignty Fine-tuning services for specialized RDUs Private cloud model execution

Ratings across the web

G2 0 reviews

0.0/5

Ratings aggregated from independent review platforms.

Key Features

SambaNova Cloud

API access to open models running on specialized RDU hardware.

1000+ Tokens/Sec

High-speed inference for Llama 3 8B models to reduce user wait times.

Composition of Experts (CoE)

A framework that allows multiple specialized models to work together for complex tasks.

RDU Architecture

Custom hardware designed specifically for the movement of data in neural networks rather than general graphics processing.

Sovereign AI

Physical hardware installation options to keep data within specific geographic or corporate boundaries.

Llama 3.1 405B Support

High-speed execution of the largest open-weight models currently available.

Developer Tier

Pay-as-you-go access for scaling applications without upfront hardware costs.

Pricing

Free

Access to Llama 3.1 models
Limited rate limits
Community support
Basic API access

Popular

Developer

Pay-as-you-go per 1M tokens

Llama 3.1 8B: $0.10 / 1M tokens
Llama 3.1 70B: $0.60 / 1M tokens
Llama 3.1 405B: $5.00 / 1M tokens
Higher rate limits
Standard support

Enterprise

Custom monthly/annual

Dedicated instances
On-premises hardware options
Custom fine-tuning
SLA-backed support
Private cloud deployment

Pricing checked 5 months ago

Pricing guidance

Best plan for most users: The Developer tier is the best fit for most startups needing high-speed inference without the capital expenditure of hardware.

Free plan enough? Yes, for initial prototyping and low-volume testing of API integration.

Upgrade when:

When you hit the rate limits of the free tier
When you need to deploy Llama 3.1 405B at scale
When your organization requires dedicated hardware for security compliance

Watch out for:

Free tier rate limits are strictly enforced
Model availability on the free tier may change based on demand
On-prem hardware requires significant lead time for installation

Competitive with other high-speed providers like Groq and generally cheaper than standard cloud GPU providers for high-volume inference.

Pros & Cons

Strengths

Extreme Inference Speed
Drastically reduces latency for agentic workflows where multiple LLM calls are chained, making real-time interaction viable.
Full-Stack Optimization
Owning the hardware and software stack allows for performance tuning that generic cloud providers using standard GPUs cannot match.
Scalability for Large Models
Handles Llama 3.1 405B with better performance-to-footprint ratios than many traditional GPU clusters, lowering the barrier for using the largest open models.

Weaknesses

Limited Model Selection
Focuses heavily on the Llama and Mistral families; lacks the breadth of providers like Hugging Face or Amazon Bedrock.

Affects: Developers needing niche or highly specialized models
Hardware Lock-in
On-premises solutions require committing to the proprietary RDU ecosystem rather than industry-standard NVIDIA GPUs.

Affects: Infrastructure teams prioritizing hardware flexibility
Smaller Developer Ecosystem
Fewer third-party integrations and community-driven tutorials compared to established NVIDIA-based platforms.

Affects: Small teams looking for extensive community support

Real User Sentiment

Generally positive regarding raw performance and speed, with some caution regarding the proprietary nature of the hardware.

Users tend to like

Unmatched token-per-second speeds
Ease of API transition for those already using OpenAI-style headers
Performance on the Llama 3.1 405B model

Users commonly complain about

Limited selection of non-Llama models
Documentation for advanced hardware features can be sparse
Occasional rate limit frustrations on the free tier

Recurring tradeoffs

Users trade model variety and GPU-standard software compatibility for extreme inference speed.

Happiest users

Developers building complex AI agents that require multiple rapid-fire LLM responses.

Often frustrated

Teams requiring a wide variety of experimental or niche models from the open-source community.

Use Cases

Real-time Customer Support

Delivering instant responses for voice-based or high-speed chat bots.

Agentic Workflows

Running multiple reasoning steps and tool calls in seconds rather than minutes.

High-Volume Document Processing

Summarizing or extracting data from thousands of pages at high throughput.

Sovereign Government AI

Running large models on-premises to meet national security and data privacy requirements.

Real-time Translation

Providing low-latency translation services for live communication.

Large-scale Content Generation

Producing high volumes of marketing or technical copy with minimal delay.

Frequently Asked Questions

How does SambaNova compare to Groq?

While both focus on high-speed inference, SambaNova's RDU architecture is often cited as handling larger models like Llama 3.1 405B more efficiently due to its memory handling, whereas Groq's LPU excels at smaller model speeds.

Is there a free tier for SambaNova Cloud?

Yes, SambaNova Cloud offers a free tier that allows developers to test Llama 3.1 models with limited rate limits at no cost.

What models are currently supported?

The platform primarily supports the Llama 3.1 family (8B, 70B, 405B) and Mistral models, focusing on the most popular open-weight architectures.

Can I run SambaNova on my own servers?

Yes, SambaNova offers DataScale hardware for on-premises deployment, which is a core part of their 'Sovereign AI' offering for enterprise and government clients.

Does the API follow standard formats?

Yes, the SambaNova Cloud API is designed to be compatible with common LLM integration patterns, making it relatively simple to swap from other providers.

What is the pricing for the 405B model?

On the Developer tier, Llama 3.1 405B is priced at approximately $5.00 per 1 million tokens, which is competitive for a model of that scale.

Why trust this page?

This evaluation combines product positioning, pricing analysis, traffic and market signals, and public user sentiment into a single decision-support page. Content is generated editorially — not copied from the vendor's website.

Funding & Company

Founded

2017

Stage

Late stage

Total Raised

$1.49B

Latest Round

Series E (Feb 2026)

Notable Investors

Intel Capital GV BlackRock SoftBank Vision Fund 2 Vista Equity Partners Walden International Temasek GIC

SambaNova Systems has raised approximately $1.49 billion from a formidable roster of investors, including Intel Capital, SoftBank, and BlackRock. This substantial backing, culminating in a Series E round in early 2026, provides significant capital to challenge incumbents in the competitive AI hardware market.

Full funding report high confidence

Market Signals & Traffic

Estimated visits, global rank, geography, traffic sources, monthly visit trends, and organic search keywords (Similarweb)—on a dedicated page built for depth and search.

Estimated visits: 0
Global rank: —
Snapshot: May 2026
Traffic trend: Surging