SambaNova Systems vs Nscale

By valuation, Nscale is the larger company at $14.6B versus $1.6B — a 9.1x difference. Size can also be measured by team: SambaNova Systems employs 500 people while Nscale has 200 employees.

Nscale has raised more in total funding at $2B, compared to SambaNova Systems's $1.5B — a gap of $510M. Combined, the two companies have completed 6 known funding rounds.

Nscale leads with an Awaira Score of 82/100, while SambaNova Systems sits at 62/100. That 20-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

SambaNova Systems was founded by Rodrigo Liang in 2017. Nscale's founder information is not currently available in our database.

SambaNova Systems: SambaNova Systems is an AI infrastructure company founded in 2017 that develops specialized hardware and software platforms for enterprise AI workloads. The company designs custom processors and system architectures optimized for machine learning training and inference, focusing on delivering higher performance and energy efficiency compared to general-purpose computing solutions. SambaNova's technology stack includes proprietary chip designs and a software compiler that adapts AI models to their hardware architecture. The company targets large enterprises and cloud providers seeking to optimize AI model deployment and reduce computational costs. SambaNova has secured substantial venture funding, positioning it among well-capitalized AI infrastructure startups. The company competes in the specialized AI chip market alongside vendors like Cerebras, Graphcore, and established players including NVIDIA. SambaNova's approach emphasizes dataflow-optimized architectures rather than traditional GPU designs. The company has demonstrated traction with enterprise customers exploring alternatives to standard AI infrastructure, though specific customer names and deployment scale details remain largely confidential. Its growth trajectory reflects the broader market expansion for specialized AI compute solutions as enterprises scale AI applications across their organizations. SambaNova develops dataflow-optimized processors and software specifically engineered to maximize AI workload efficiency, differentiating itself through specialized chip architecture rather than general-purpose computing. Nscale: Nscale is a United Kingdom-based AI infrastructure company that builds and operates GPU data centers optimized for artificial intelligence workloads. The company raised $2 billion in a Series C round — the largest venture capital round in European history — at a $14.6 billion valuation. Nscale provides cloud computing infrastructure purpose-built for training and deploying large AI models, competing with hyperscalers like AWS and Azure as well as AI-native cloud providers like CoreWeave and Lambda. The company operates data centers across Europe and is expanding globally to meet surging demand for AI compute capacity. Nscale's platform supports the full AI development lifecycle from model training through production inference at scale.

SambaNova Systems got there first, launching in 2017 — that's 4 years of extra runway. Nscale didn't arrive until 2021. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

SambaNova Systems has about 500 employees; Nscale has about 200. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both SambaNova Systems and Nscale compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.