Gruve, a leader in AI services and infrastructure, announced a $50 million follow-on Series A funding to accelerate deployments, expand strategic partnerships, and scale its full-stack agentic services.

The latest round brings Gruve’s total funding to $87.5 million and was led by Xora Innovation (backed by Temasek), with participation from Mayfield, Cisco Investments, Acclimate Ventures, AI Space and other strategic investors.

The capital accelerates Gruve’s ability to make low-latency AI inference capacity immediately available across Tier 1 and Tier 2 U.S. cities and scale efficiently as demand grows, without multi-year data center buildouts.

The Execution Gap in AI
As inference becomes the dominant AI workload, infrastructure has emerged as the industry’s primary constraint. While models, agents, and hardware continue to see breakthroughs, the systems running them have not kept pace.

Most production inference today relies on infrastructure that was never designed for low-latency, high-throughput, cost-sensitive AI, resulting in unsustainable costs, mounting technical debt, and weak unit economics.

Gruve’s Inference Infrastructure Fabric was built to close this gap.

Inference Infrastructure Services Purpose-built for Production AI Workloads
Gruve’s Inference Infrastructure Fabric is a distributed platform engineered specifically for production-grade AI inference, delivering predictable latency, scalable throughput and industry leading economics.

Key capabilities include:

• 500MW+ of expandable U.S. capacity, leveraging excess power and existing infrastructure near Tier 1 and Tier 2 cities, enabled by long-term partnerships with Lineage, Inc. and other major colocation providers
• Modular, high-density, rack-scale inference capacity, engineered for cost efficiency in inference-heavy workloads and rapid deployment
• A distributed, low-latency edge fabric for seamless connectivity and workload orchestration across sites
• Full-stack operations, including a 24×7 AI-powered SOC, network services, and cluster management to meet enterprise-grade reliability and performance standards

Gruve is bringing 30MW live today across four U.S. sites, with additional capacity under development and further near-term expansions in Japan and Western Europe. This unique approach bypasses multi-year data center build cycles and delivers AI-ready capacity in months instead of years.

Built for Neoclouds, Enterprises, and AI-Native Startups
Gruve’s distributed inference infrastructure is designed for organizations moving from experimentation to production without compromising performance or economics, including:

• Neoclouds scaling inference economically at the edge
• Enterprises deploying real-time agents and mission-critical AI workloads
• AI-native startups moving from prototype to production

By placing inference close to users and data sources, Gruve reduces latency and operating costs, while improving reliability, unlocking true speed to scale for the next generation of AI applications.

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