NeuReality

NeuReality develops AI infrastructure optimization technology that maximizes GPU output and turns AI infrastructure into production-grade inference systems, addressing the bottleneck that AI at scale demands more than just compute. The company offers three core products: NR-NEXUS, an Inference Operating System for Token Factories that turns heterogeneous GPU and XPU infrastructure into governed production capacity with orchestration, routing, observability, and policy controls, enabling deployment of new models, engines, and accelerators faster with higher utilization, lower latency, and better cost per token; NR2 AI-SuperNIC, AI-optimized scale-out networking silicon for distributed GPU and XPU clusters delivering 1.6 Tbps throughput, ultra-low latency, and UEC (Ultra Ethernet Consortium) support for efficient growth at any scale, improving GPU active time with deterministic low-latency networking and in-network compute; and AI-CPU, which combines ARM-based CPU with media processors and hardware-driven AI-Hypervisor IP on a single chip for scalable inference systems, supporting heterogeneous AI accelerators including GPUs, FPGAs, and ASICs. NeuReality provides three deployment paths: Serverless API (minimal friction, pay per token, start in hours), Managed Deployment (dedicated capacity, fully managed by NeuReality, enterprise SLAs), and Annual License (full ownership, private infrastructure, best for platform teams). The company differentiates itself through its focus on the inference infrastructure layer rather than model training, addressing the operational challenges of running heterogeneous AI compute in production with governance, cost optimization, and utilization improvement. Founded in 2019 and headquartered in Caesarea, Israel, NeuReality has raised approximately $64.4 million in a Series A round backed by Samsung Venture Investment, SK hynix, Korea Investment Holdings, EIC Fund, OurCrowd, Cleveland Avenue, Varana Capital, Europa, XT Hi-Tech, Cardumen Capital, Glory Ventures, Alumni Ventures, Stonebridge, and Gefen Capital.

AI Infrastructure > Enabling Technologies > Hardware > Processors,

Digital ICs > Microprocessors > Artificial Intelligence and Machine Learning > AI Accelerators