SambaNova Systems, Inc.

S
SambaNova Systems, Inc.
  • Headquarters

    Palo Alto, CA
  • Founded

    2017
  • CEO / Founder

    Rodrigo Liang
  • Employees

    501-1000
  • Funding

    Series D+ — $2.49B
  • Products

    1 product listed
  • Avg. AI Score

    7.2/10

Profile updated

Products
1
Avg AI Score
7.2/10
Founded
2017
Funding
$2.5B
About SambaNova Systems, Inc.

SambaNova Systems was founded in 2017 in Palo Alto, California, by Rodrigo Liang, Kunle Olukotun, and Christopher Ré. Olukotun and Ré are Stanford professors whose research on dataflow architectures and machine learning systems formed the basis for the company's custom chip designs. Liang serves as chief executive officer.

The company builds its own semiconductor, the Reconfigurable Dataflow Unit (RDU), and packages it into systems such as the DataScale platform and the SambaNova Suite, aimed at enterprises and government agencies running large language models and other generative AI workloads. SambaNova markets its hardware and software as an alternative to GPU-based infrastructure from Nvidia, emphasizing on-premises and private-cloud deployment for customers with data privacy or sovereignty requirements, including national laboratories and financial institutions.

SambaNova has raised more than $1 billion in venture funding from investors including SoftBank Vision Fund, BlackRock, Intel Capital, and GV, with a Series D round in 2021 valuing the company at roughly $5 billion. The company employs several hundred people and has expanded its cloud offering, SambaNova Cloud, to provide inference services for open-source large language models.

Financials

Dated, source-cited figures. Estimates are marked.

Valuation
$11B
sambanova.ai
Total Raisedest.
$2.5B
sacra.com
Valuation over time
$5.1B(Apr 13, 2021, est.)$11B(Jul 8, 2026)
Total Raised over time
$450M(Feb 25, 2020, est.)$1B(Apr 13, 2021, est.)$2.5B(Jul 8, 2026, est.)
Products by SambaNova Systems, Inc.

All products by SambaNova Systems, Inc. reviewed by our AI panel of experts.

How Our Review Panel Scores SambaNova Systems, Inc.

Six independent reviewer personalities assessed SambaNova Systems, Inc.'s product on their own terms. They landed within 0.9 points of each other, an unusually strong consensus.

The Domain Strategist
7.6
The Domain Practitioner
7.6
The Decision Maker
7.2
The Power User
7.2
The Finance Lead
6.9
The Skeptic
6.7

Averaged across 1 reviewed product in our catalog. Scores are out of 10.

Competitive Landscape

Who SambaNova Systems, Inc. competes with, and how they differ.

Cerebras logo
Cerebras8.0/10

The closest structural rival: custom AI silicon plus a first-party inference cloud, chasing the same sovereign-AI and national-lab deals. Cerebras bets on a single wafer-scale engine with all weights in on-chip SRAM, where SambaNova uses a reconfigurable dataflow unit with tiered HBM/DRAM memory to hold trillion-parameter models on far fewer nodes.

1 product reviewed on TopReviewed
Groq logo
Groq7.7/10

Also pairs proprietary inference silicon with a developer cloud and competes on tokens per second. Groq's LPU is a deterministic, SRAM-only inference-only design sold mainly as GroqCloud API capacity, while SambaNova trains as well as serves and leads with on-premises racks for regulated buyers such as JPMorganChase and national laboratories.

1 product reviewed on TopReviewed
NVIDIA Corporation logo
NVIDIA Corporation8.2/10

The incumbent SambaNova benchmarks against, claiming roughly 3x lower total cost of ownership versus GPUs. NVIDIA's advantage is CUDA and an entrenched software ecosystem sold through every cloud, whereas SambaNova ships a vertically integrated rack and model stack that has no third-party toolchain behind it.

1 product reviewed on TopReviewed
Together AI logo
Together AI8.0/10

Competes directly for SambaNova Cloud's token-serving business with an open-model inference and fine-tuning API, but rents NVIDIA GPU capacity rather than designing silicon. Together sells breadth of models and GPU cluster rental; SambaNova sells speed and precision on hardware it controls end to end.

1 product reviewed on TopReviewed
Fireworks AI logo
Fireworks AI8.0/10

Another GPU-based fast-inference API targeting the same open-weight serving workloads as SambaNova Cloud, optimising at the software layer with custom kernels and speculative decoding instead of custom chips. It has no on-premises appliance business, so it does not compete for SambaNova's enterprise and sovereign deployments.

1 product reviewed on TopReviewed
Company Timeline

Key milestones in SambaNova Systems, Inc.'s history, with sources.

  1. Funding

    Series F first close — $1B at an $11B valuation, led by General Atlantic

    Seligman Ventures, T. Rowe Price Associates, Capital Group, BlackRock funds, Intel Capital, Vista Equity Partners, Battery Ventures and the Qatar Investment Authority joined the round. Announced alongside JPMorganChase selecting SambaNova as an inference-infrastructure partner for on-premises SN40L and SN50 deployments.

    sambanova.ai
  2. Funding

    Series E — $350M+ co-led by Vista Equity Partners and Cambium Capital

    Intel Capital, Battery Ventures, Seligman Ventures, Assam Ventures, Mayfield and T. Rowe Price-managed accounts participated. The round was announced together with a multi-year Intel partnership covering Xeon-based AI cloud, system integration and co-selling. No valuation was disclosed.

    sambanova.ai
  3. Launch

    SN50 reconfigurable dataflow unit announced for agentic AI

    SambaNova said the SN50 delivers five times the compute per accelerator and four times the network bandwidth of the SN40L, scales to 256 accelerators over a multi-terabyte-per-second interconnect, and supports models above 10 trillion parameters with 10M+ token context lengths.

    sambanova.ai
  4. Partnership

    SoftBank Corp. expands SambaNova deployment for AI inference across APAC

    SoftBank Corp. widened its use of SambaNova racks to offer high-speed inference through SambaNova Cloud in Japan, serving Japanese open-source models such as Swallow alongside Meta Llama and Alibaba Qwen.

    sambanova.ai
  5. Launch

    SambaNova Cloud inference API launched

    The service ran Llama 3.1 405B at 132 tokens per second in full 16-bit precision and Llama 3.1 70B at 461 tokens per second on SN40L hardware, offered in free, developer and enterprise tiers.

    sambanova.ai
  6. Launch

    Samba-1 — one-trillion-parameter enterprise model released

    Samba-1 used a Composition of Experts architecture assembling more than 50 open-source models, including Llama 2, Mistral, Falcon and DeepSeek Coder, for private deployment on customer premises running on SN40L hardware.

    sambanova.ai
  7. Launch

    SN40L chip unveiled

    The fourth-generation reconfigurable dataflow unit, manufactured by TSMC, combined dense and sparse compute with a tiered HBM and DRAM memory system, supporting models of up to 5 trillion parameters and 256k+ sequence lengths on a single system node.

    sambanova.ai
  8. Funding

    Series D — $676M led by SoftBank Vision Fund 2 at a $5.1B valuation

    Temasek and GIC joined as new investors alongside BlackRock, Intel Capital, GV, Walden International and WRVI. The round took total funding past $1B, then the largest sum raised by an AI chip startup.

    techcrunch.com
  9. Funding

    Series C — $250M led by BlackRock

    GV, Intel Capital, Walden International, WRVI Capital and Redline Capital also participated. The round took total funding raised to more than $450M.

    venturebeat.com
  10. Funding

    Series B — $150M

    The company closed a $150M Series B in April 2019, its second institutional round, a year after the Series A.

    venturebeat.com
  11. Funding

    Series A — $56M led by GV and Walden International

    Redline Capital and Atlantic Bridge Ventures also participated in the company's first institutional round, roughly four months after founding.

    techcrunch.com
  12. Founded

    SambaNova Systems founded by Kunle Olukotun, Christopher Ré and Rodrigo Liang

    Stanford computer scientists Kunle Olukotun and Christopher Ré co-founded the company with former Oracle engineering executive Rodrigo Liang, who became CEO, to build a reconfigurable dataflow architecture as an alternative to GPUs for machine learning.

    techcrunch.com

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