SambaNova Systems
Founded Year
2017Stage
Series D | AliveTotal Raised
$1.132BValuation
$0000Last Raised
$676M | 2 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+20 points in the past 30 days
About SambaNova Systems
SambaNova Systems develops artificial intelligence (AI) computer hardware. It enables optimal performance for machine learning (ML) training, inference, and analytics models. The company specializes in 3-dimensional image analysis, high-performance computing, artificial intelligence, and many more. It was founded in 2017 and is based in Palo Alto, California.
- Predict emerging trends
- See competitors' playbooks
- Stalk the smart money
- Identify tomorrow's challengers
- Spot growing industries
- Kill analyst data work
SambaNova Systems's Product Videos
Expert Collections containing SambaNova Systems
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
SambaNova Systems is included in 4 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
1,222 items
Artificial Intelligence
10,944 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Conference Exhibitors
5,302 items
AI 100
100 items
SambaNova Systems Patents
SambaNova Systems has filed 138 patents.
The 3 most popular patent topics include:
- Parallel computing
- Computer memory
- Instruction processing
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
5/5/2022 | 9/19/2023 | Gate arrays, Parallel computing, Arrays, Reconfigurable computing, Instruction set architectures | Grant |
Application Date | 5/5/2022 |
|---|---|
Grant Date | 9/19/2023 |
Title | |
Related Topics | Gate arrays, Parallel computing, Arrays, Reconfigurable computing, Instruction set architectures |
Status | Grant |
Latest SambaNova Systems News
Sep 21, 2023
SambaNova Systems has announced an AI chip to power its full stack large language model (LLM) platform. The SambaNova SN40L chip supports both dense and sparse computing through a reconfigurable architecture and can choose between large DRAM or fast HBM memory interfaces to run and train AI models with up to 5tn parameters. “Today, SambaNova offers the only purpose-built full stack LLM platform — the SambaNova Suite — now with an intelligent AI chip,” said Rodrigo Liang, co-founder, and CEO of SambaNova Systems. “We’re now able to offer these two capabilities within one chip – the ability to address more memory, with the smartest compute core – enabling organizations to capitalize on the promise of pervasive AI, with their own LLMs to rival GPT4 and beyond.” The new chip is just one element of SambaNova’s full-stack LLM platform for generative AI. “We’ve started to see a trend towards smaller models, but bigger is still better and bigger models will start to become more modular,” said Kunle Olukotun, co-founder of SambaNova Systems. “Customers are requesting an LLM with the power of a trillion-parameter model like GPT-4, but they also want the benefits of owning a model fine-tuned on their data. With the SN40L, our most advanced AI chip to date, integrated into a full stack LLM platform, we’re giving customers the key to running the largest LLMs with higher performance for training and inference, without sacrificing model accuracy.” The SN40L can serve a 5 trillion parameter model, with 256k+ sequence length possible on a single system node. This enables higher quality models, with faster inference and training at a lower total cost of ownership. A new embeddings model for vector-based retrieval augmented generation enabling customers to embed their documents into vector embeddings, which can be retrieved during the Q&A process and NOT result in hallucinations. The LLM then takes the results to analyze, extract, or summarize the information. It also includes an automated speech recognition model to transcribe and analyze voice data.
SambaNova Systems Frequently Asked Questions (FAQ)
When was SambaNova Systems founded?
SambaNova Systems was founded in 2017.
Where is SambaNova Systems's headquarters?
SambaNova Systems's headquarters is located at 2100 Geng Road, Palo Alto.
What is SambaNova Systems's latest funding round?
SambaNova Systems's latest funding round is Series D.
How much did SambaNova Systems raise?
SambaNova Systems raised a total of $1.132B.
Who are the investors of SambaNova Systems?
Investors of SambaNova Systems include Walden International, Google Ventures, Intel Capital, BlackRock, Temasek and 7 more.
Who are SambaNova Systems's competitors?
Competitors of SambaNova Systems include TensTorrent and 6 more.
- Predict emerging trends
- See competitors' playbooks
- Stalk the smart money
- Identify tomorrow's challengers
- Spot growing industries
- Kill analyst data work
Compare SambaNova Systems to Competitors
Cerebras is a computer systems company dedicated to accelerating deep learning. The Wafer-Scale Engine (WSE), is at the heart of the deep learning system, the Cerebras CS-1. The WSE delivers more computing more memory, and more communication bandwidth. This enables AI research at high speeds and scale.
Mythic develops a local artificial intelligence (AI) platform. It offers solutions for smart cities and spaces, intelligent machines and robots, smart homes, metaverse, drones, and aerospace industries. The company was formerly known as Isocline Engineering. The company was founded in 2012 and is based in Austin, Texas.
Groq designs the Tensor Streaming Processor (TSP) architecture-based chip. It is a single enormous processor that has hundreds of functional units. Its architecture reduces instruction-decoding overhead and handles integer and floating-point data. It was founded in 2016 and is based in Mountain View, California.
TensTorrent develops artificial intelligence (AI) processors for machine learning workloads. It develops processor application-specific integrated circuits (ASICs), specifically engineered for deep learning and smart hardware. The company's processor is designed to excel at both learning and inference. It was founded in 2016 and is based in Toronto, Canada.
Graphcore provides artificial intelligence (AI) systems and services for organizations to build, train and deploy models in the cloud using infrastructure processing unit (IPU) hardware. It offers products such as cloud infrastructure processing units, data center infrastructure processing units, bow infrastructure processing units, and more. The company serves the finance, biotech, scientific research, and consumer internet sectors. It was founded in 2016 and is based in Bristol, United Kingdom.
Wave Computing develops a high-speed machine learning solution for data center-based training and per the company delivering up to 1000x the performance for neural network training. Wave's new compute appliance leverages the company's patented dataflow architecture, which eliminates the need for a central processing unit (CPU) or graphic processing unit (GPU), removing the typical performance and scalability bottlenecks found with traditional deep learning solutions.
Discover the right solution for your team
The CB Insights tech market intelligence platform analyzes millions of data points on vendors, products, partnerships, and patents to help your team find their next technology solution.
