Having just released a new funding round led by SoftBank Vision Fund 2, SambaNova is taking its first step towards launching the next phase of its product and service offerings. We have a look at what the company has in store for its customers, what’s new, and what’s ahead.
About SambaNova
Founded in 2016, SambaNova is a Silicon Valley AI chip startup that’s aiming to shake up the AI market. They’re doing this by providing hardware and software solutions for artificial intelligence applications. They’re also leveraging algorithmic optimizations to dramatically improve the performance of their products.
SambaNova’s flagship offering is called Dataflow-as-a-Service. It’s an extensible platform that provides organizations with access to their AI system, as well as support for building and running deep learning programs. It’s a subscription-based service that helps accelerate existing data centers. It also includes support for large natural language processing models, as well as Google’s BERT.
Among the company’s other offerings is its Cardinal GPU. It’s designed to train models with improved quality and a larger memory footprint. It’s a faster model than Nvidia’s V100. It’s also able to retain information from the original image. The chip is built on TSMC’s N7 process.
SambaNova is also investing in cognitive simulation. Their AI system is designed to run recommender models with more than 100 billion parameters. It’s designed to perform in-loop training and reclassification. It’s also based on a graph optimizer that makes the most of the large memory space.
New funding round led by SoftBank Vision Fund 2
Earlier this year, SoftBank announced its second fund. The new fund will invest in the latest technology and enterprises to fuel AI-driven digital innovation. The funds are being invested across a variety of industries, including health tech, transportation, and enterprise technology.
The fund’s investment will also help boost global expansion. The investment will create 1,500 new jobs. The company will hire an engineering team and marketing team to help build a livestream commerce platform.
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Service offerings
Whether you’re building a massive data center or just looking for the next best thing to do with your hard earned cash, SambaNova has a data center solution that fits your budget and your requirements. The company has a slew of different hardware and software solutions that can help you get up and running in no time. Among its offerings are the DataScale SN10-8R, the nifty SN10-8R, the SN10-8R X2 and the SN10-8R X2. If you’re a business customer, the SN10-8R is a great choice, thanks to its AMD processor paired with eight Cardinal chips. Likewise, the SN10-8R X2 will get the job done with speed and efficiency.
SambaNova has also got your back when it comes to cloud computing. As a result, the company can offer customers a variety of services from one-on-one consulting and custom software to remote management of your default network features. Using SambaNova’s cloud-based software, you can manage your virtual data centers, backup and recover your files, and run your applications on the latest hardware.
Future plans
Earlier this month, SambaNova Systems announced a $676 million Series D round led by SoftBank Vision Fund 2. Founded in 2014 by US-based SambaNova Systems, the company develops advanced AI systems to help companies and government agencies run their most critical applications. Its products are based on software-defined devices, which it claims dramatically improve the performance of AI apps. The company has more than 300 employees, and recently secured new investors GIC, Temasek, and Intel Capital.
Conclusion
SambaNova’s 40 billion transistor cardinal chip is an array of reconfigurable nodes that allow for in-loop training and immediate reclassification. It is based on TSMC’s N7 process, and has a bandwidth of 153 GB/s. SambaNova says its technology can be used for natural language processing, computer vision, and recommendation models. Its models are designed to have over 100 billion parameters, which are parts of a model learned from historical training data. SambaNova’s models also have a much larger memory footprint, enabling hardware utilization and greater accuracy.