Chip performance
that pays for itself


Six months to payback. Five more years of margin.

Speed wins customers.
ROI funds growth.

Faster inference enables AI agents to finish work sooner when generation is the bottleneck. That productivity makes premium inference worth the price. For neoclouds, the opportunity is to turn that demand into revenue that covers serving costs and earns back new infrastructure investment.

SambaNova’s six-month ROI target for the SN50 RDU chip puts capital recovery at the center of the service plan: Fast tokens customers value, delivered at a cost that leaves room for high margins.

4 ways to build a 6-month payback

  • Turn speed into premium margin. Faster inference helps customers finish AI work sooner. Price that productivity advantage into premium tiers. The margin left after serving costs is what pays back the infrastructure investment.

  • Capture unmet demand for faster inference. Customers need more than access to large models, they need those models to respond fast enough for interactive and agentic work. Add capacity built to serve that need, turning underserved workloads into paying traffic.

  • Put existing data centers to work. SambaRack SN50’s air-cooled design lets providers plan around existing facilities rather than a liquid-cooling buildout, limiting the facility work needed before capacity can earn revenue. Site power and cooling capacity still govern deployment.

  • Invest in RDUs. Build on existing GPUs. Add SN50 RDUs purpose-built for decode, paired with compatible existing GPUs for prefill. Scale each pool around workload bottlenecks to keep capacity productive and avoid expanding both when only one needs more hardware.

Connect with SambaNova Experts

DevTalks: Designing Effective AI Agents

Join SambaNova and CrewAI for an in-depth webinar on Designing Effective AI Agents — exploring how developers, enterprise AI teams, and entrepreneurs can build, orchestrate, and deploy agentic systems that deliver real results.

In this live session, Justin Woo (SambaNova) and Shane K. Johnson (CrewAI) will demonstrate how to combine CrewAI’s powerful orchestration framework with SambaCloud’s blazing-fast inference to create agents that are both intelligent and efficient.

Date: November 18th

Time: 10am PT | 1pm ET 

What You’ll Learn:

  • What AI agents are and why they matter

  • How CrewAI enables multi-agent orchestration and workflow automation

  • How SambaCloud powers scalable, high-performance inference for agents

  • Core principles of effective agent design 

  • Best practices for building and deploying real-world agentic systems

Anyone can be fast.

The question is whether you make money doing it.

The world's first heterogeneous disaggregated inference 

This demo shows the world's first heterogeneous disaggregated inference system — SambaNova RDUs working alongside Intel CPUs and NVIDIA GPUs. Co-founder and CEO Rodrigo Liang runs two setups side-by-side: the disaggregated approach, and GPUs alone.

Disaggregated inference tests 2–3x faster end to end than GPU-only solutions.* More users served per unit of compute, on hardware that costs less to buy and less to run. That's the payback.

* Verified by Artificial Analysis