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
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.
Real-time voice and video infrastructure powering ChatGPT Voice Mode, xAI, Meta, and Spotify; raised $100M Series C at $1B valuation in Jan 2026; open-source WebRTC platform specifically engineered for low-latency AI applications.
LiveKit is an open-source real-time audio and video infrastructure company providing the communication backbone for AI voice and video applications at scale. Founded to make production-grade real-time communication infrastructure accessible without the prohibitive cost and complexity of building it in-house, LiveKit developed a WebRTC-based platform optimized for the specific latency, reliability, and scale requirements of AI-powered voice and video experiences.\n\nLiveKit's platform handles the real-time transport layer for voice calls, video conferencing, and multimodal AI interactions — abstracting the complexity of WebRTC, TURN servers, codec optimization, and global distribution into a developer-friendly SDK. Its infrastructure is specifically engineered for the low-latency, high-reliability requirements of AI voice agents, where even 200ms of added latency degrades the conversational experience. The company provides SDKs for every major platform and has built a reputation as the most production-ready open-source option for real-time AI communication.\n\nLiveKit powers ChatGPT's Voice Mode, xAI's voice products, Meta, and Spotify — a client roster that validates its ability to operate at extreme scale and reliability. The company raised $100M in a Series C at a $1B valuation in January 2026, bringing total funding to $183M. As conversational AI products proliferate across consumer and enterprise applications, LiveKit's position as the de facto real-time infrastructure layer for AI voice gives it a durable and expanding role in the AI application stack.
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