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SambaNova Systems DataScale

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About SambaNova Systems DataScale

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SambaNova Systems DataScale Details

Vendor
SambaNova Systems
Year Launched
2017
Location
Headquarters: 2200 Geng Road, Unit 100 Palo Alto, CA 94303 (650) 263-1153
Deployment
cloud
Training Options
documentation, videos
Countries Served
All Countries
Languages
English, Japanese
Users
Government agencies, research organizations, and large enterprises
Industries Served
Government, Research, Enterprises, AI and Deep Learning
Tags
Artificial Intelligence, SambaNova Systems

SambaNova Systems DataScale's In-App Market Place

Does SambaNova Systems DataScale have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), CNY (¥), AUD ($), CAD ($), CHF (Fr), INR (₹), SGD ($), HKD (HK$)

Pros & Cons

  • High Performance: Outperforms traditional GPU architectures significantly.
  • Scalable Architecture: Supports extensive model sizes and rapid switching.
  • User-Friendly: Minimal need for low-level tuning.
  • High Accuracy: Delivers accurate results across various applications.
  • Advanced Software Compatibility: Works well with standard ML frameworks.
  • Complexity: Requires understanding of AI workloads for optimal use.
  • Availability: Limited information on global availability outside the U.S.
  • Learning Curve: Users may require training to fully utilize the system.
  • Market Competition: Faces competition from established AI hardware providers.

SambaNova Systems DataScale's Support Options

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