Nscale vs Together AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
UK AI hyperscaler; raised $2B Series C at $14.6B valuation — Europe's largest-ever VC round (March 2026); 75,000 NVIDIA GB200 GPUs ordered; sovereign GPU cloud for European AI labs
About
Nscale is a UK-based AI hyperscaler building purpose-built cloud infrastructure for AI training and inference workloads. Founded to address Europe's shortage of sovereign, high-performance AI compute, Nscale operates GPU clusters at scale and provides cloud services to AI companies, research institutions, and enterprises that need access to frontier training infrastructure without depending on US hyperscalers. The company has invested heavily in NVIDIA's latest Blackwell architecture, ordering 75,000 GB200 GPUs to build one of Europe's most powerful AI supercomputing facilities.\n\nNscale's platform offers on-demand and reserved access to large GPU clusters optimized for distributed AI training, fine-tuning, and high-throughput inference. Its infrastructure is designed with the networking, storage, and orchestration layers purpose-built for AI workloads—unlike general-purpose cloud providers that retrofit existing infrastructure. European AI labs, government research programs, and enterprises with data residency requirements are natural customers, as Nscale offers both the performance of US hyperscalers and the sovereignty guarantees that European regulations increasingly demand.\n\nIn March 2026, Nscale closed a $2B Series C at a $14.6B valuation—the largest VC round in European history. This milestone reflects both the massive capital requirements of building AI compute infrastructure at hyperscale and strong investor confidence in European AI sovereignty as a durable market dynamic. The funding positions Nscale to accelerate GPU cluster buildout, expand to additional European data center locations, and compete directly with AWS, Azure, and Google Cloud for AI workloads from European customers.
Open-source AI cloud. $300M ARR (Sep 2025). $3.3B valuation. $533M total raised. Backed by Salesforce, NVIDIA, Kleiner Perkins. Founded by ex-Stanford AI researchers.
About
Together AI was founded in 2022 with a mission to build the leading open-source AI cloud—a platform where developers and enterprises can train, fine-tune, and run inference on open-weight models without the constraints and costs of proprietary AI APIs. The company recognized early that as powerful open-weight models like Llama, Mistral, and FLUX proliferated, there was a massive opportunity to provide optimized infrastructure for running and customizing them. Together AI built a multi-cloud GPU platform with custom inference kernels and distributed training optimizations specifically engineered for open-source models.\n\nTogether AI's platform offers fine-tuning, inference, and training services across a curated library of leading open-weight models, with performance-optimized endpoints that often outperform what users can achieve running models on general-purpose cloud infrastructure. The company targets AI engineers, ML researchers, and enterprises that want flexibility—either for cost reasons, privacy requirements, or the need to customize model behavior through fine-tuning. Together's API design closely mirrors OpenAI's, making migration straightforward. Its pricing is consistently below proprietary model APIs for comparable capability tiers.\n\nTogether AI has achieved $300M in annualized revenue as of September 2025, growing to a $3.3B valuation with $533M in total funding. Investors include NVIDIA, Salesforce, and Kleiner Perkins—a combination that provides both strategic GPU supply chain relationships and enterprise go-to-market leverage. The open-source AI cloud market is a significant and growing segment as enterprises prioritize model flexibility and cost control alongside the maturation of open-weight models that increasingly compete with frontier proprietary models.
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