Dataflow 101
What Is an AI Chip?
How GPUs Process AI
How RDUs Process AI
Description
Learn what a Reconfigurable Dataflow Unit (RDU) is, how it differs from general-purpose AI hardware, and why it is designed specifically to make inference more efficient when trained models are serving real requests in production.
Additional Resources
Product: RDU AI Chips
Blog: Introducing the SN50 RDU: Purpose-Built for Agentic Inference
Blog: Solving the Infrastructure Crisis for AI Inference with Dataflow
Blog: Why SambaNova's SN40L Chip Is the Best for Inference
Key Differentiators of RDU for Inference
Additional Resources
Blog: Why agentic inference needs hybrid hardware
Blog: Why dataflow matters
Product: RDU
Understanding the Benefits of Model Bundling
Description
Discover how SambaNova's model bundling lets you run multiple AI models on a single rack, boosting cluster utilization and lowering total cost of ownership for agentic and multi-model workloads.
Additional Resources
Blog: Why modern AI infrastructure needs model bundling
Blog: How model bundling works
Product: SambaRack
Product: SambaStack