Arrcus Accelerates India Growth with ACE-AI Fabric for AI-Ready Datacenter and Mobile Networks

Arrcus expands India operations to scale AI, datacenter, and mobile networks

Arrcus announced a major expansion in India to meet rising demand for AI, datacenter, and mobile network infrastructure. The company is growing its local team, deepening partnerships, and positioning its ACE-AI Networking fabric as a practical alternative to incumbent vendors for Indian operators and enterprises.

"By expanding our in-country workforce and leadership as well as deepening our local partnerships, Arrcus' networking solutions are now the best choice for Indian customers as an alternative to incumbent providers," said Shekar Ayyar, CEO of Arrcus.

Why this matters for executives

• AI at scale needs efficient, flexible networking that connects GPUs, DPUs, and CPUs across datacenters, cloud, and mobile networks. Arrcus' ACE-AI fabric targets this exact need.
• Open, disaggregated solutions create leverage: mix-and-match hardware, avoid lock-in, and optimize for cost and performance across AI training and inference.
• Local execution in India with an expanded team and partner ecosystem improves speed of deployment, support, and supply chain resilience.

The ACE-AI fabric in plain terms

ACE-AI is a networking fabric purpose-built to connect xPUs and AI workloads across datacenters, cloud, and mobile networks. It focuses on scale, latency reduction, and better utilization-helping operators and enterprises run AI more efficiently and predictably.

For leaders planning AI rollouts, this means higher throughput for training and inference, more flexible architecture choices, and clearer paths to manage cost and energy use.

Leadership and local execution

• Vikram Anand joins as Managing Director of India sales and business development, bringing experience from Dell, VMware, and Persistent Systems to lead go-to-market initiatives.
• The engineering team is led by Ashutosh Sharma, a seasoned networking executive with over 25 years at companies including Citrix, Cisco, and Motorola.

This combination of sales leadership and deep engineering experience supports faster deployments and tighter alignment with Indian customer requirements.

Open networking partners in India

Arrcus is expanding its ecosystem to deliver open, disaggregated networking across industries in India-finance, telecom, cloud, and enterprise.

• Fujitsu: Collaboration to enable high-performance, open solutions for scalable, efficient infrastructure.
• UfiSpace: Carrier-class open platforms that scale for AI workloads and next-gen mobile networks.
• Edgecore: Proven open hardware paired with Arrcus ArcOS software for agile, high-performance networks.

Competitive positioning

Arrcus is pitching a modern alternative to established vendors such as Cisco, Arista, and HPE-Juniper. The approach centers on open architectures, better economics, and local execution-key levers for operators balancing growth, resilience, and cost control.

As analyst Scott Raynovich noted, the ACE-AI fabric addresses real challenges enterprises and service providers face as they scale AI workloads-especially when paired with local leadership and strong partnerships.

Where to see it in action

• Global Fintech Fest (GFF25) in Mumbai on October 7: Panel on "AI-powered Finance: Efficiency in Financial Operations" and a masterclass on "Signals, Smart and Sentiment: AI in Capital Markets." Event site
• India Mobile Congress (IMC25) in New Delhi on October 9: Keynote on "AI Networking for the Next Era of Mobility and Digital Infrastructure." Event site

What this means for your roadmap

• Map AI workload growth (training vs. inference) and quantify network needs across datacenter, cloud, and edge sites.
• Pilot disaggregated networking with Arrcus software on open hardware (e.g., Edgecore, UfiSpace) to validate performance, latency, and cost targets.
• Update RFPs to include open fabric requirements, xPU interconnect needs, energy efficiency metrics, and telemetry/observability standards.
• Engage the India team for architecture reviews, partner alignment, and deployment plans that meet local compliance and sourcing needs.
• Model TCO across 3-5 years, factoring in vendor flexibility, supply options, and operational simplicity.

India's AI buildout is accelerating. Arrcus is betting on open, AI-ready networking with local execution to meet that demand-giving operators and enterprises more choice and clearer economics as they scale.