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SambaNova DataScale
SambaNova DataScale is an on-premises or hosted AI system for training and running large models with dataflow processors.
SambaNova DataScale is an integrated hardware and software system for AI training and inference. The DataScale SN40L uses Reconfigurable Dataflow Units, a dataflow architecture, and three-tier memory to run multiple models and switch between them quickly.
It is aimed at enterprises, government agencies, and research organizations. Deployments can be on-premises or in hosted data centers. Hardware pricing is not published on the reviewed pricing page; that page lists SambaNova Cloud token usage instead.
Features
- Runs AI model training and inference
- Uses SN40L Reconfigurable Dataflow Units
- Supports on-premises and hosted data-center deployment
- Runs multiple models on one system
- Switches between models in microseconds
- Uses three-tier memory with SRAM, HBM, and DDR
- Supports custom and chained models
- Runs Red Hat Enterprise Linux
Use cases
- Train and deploy large language models
- Run generative and agentic AI workloads
- Analyze high-resolution computer-vision images
- Support scientific research and AI-for-science workloads
- Deploy private AI infrastructure for enterprises
- Run multiple models from a shared system