Arrcus Expands India Operations to Drive AI, Datacenter & 5G Network Growth

Arrcus Expands India Operations to Drive AI, Datacenter & 5G Network Growth

Arrcus is ramping up its India presence by expanding its local leadership team, strengthening partner relationships, and deploying its ACE-AI fabric to meet rising demand for AI, datacenter, and mobile network solutions across the region.

What Arrcus Is Doing & Why It Matters

Arrcus, known for hyperscale networking software, is growing its India operations to address critical infrastructure needs. Its Arrcus Connected Edge-AI (ACE-AI) fabric is central to the strategy—designed to interconnect CPUs, GPUs, and DPUs seamlessly. That means faster AI training & inference, lower latency, optimized power usage, and reduced operational costs capabilities very much in demand in India’s booming digital economy.

To support this expansion, Arrcus has made strategic leadership appointments: Vikram Anand is now Managing Director for India sales & business development, bringing experience from Dell, VMware, and Persistent Systems; Ashutosh Sharma, a networking veteran from Citrix, Cisco, and Motorola, is leading the engineering efforts. These hires strengthen Arrcus’ ability to deliver open, AI-ready network solutions locally.

Partner Ecosystem & Collaborations

Arrcus doesn’t go it alone. They’re forming strong partnerships with companies like Fujitsu, UfiSpace, and Edgecore. These alliances enable disaggregated, open-hardware networking platforms, delivering scalable and high-performance infrastructure suited for 5G, cloud, and enterprise use cases. Edgecore, for example, pairs Arrcus’ ArcOS with open hardware, helping build flexible and agile networks.

Thought Leadership & Market Presence

To further establish its commitment, Arrcus is participating in major industry events. At Global Fintech Fest (Mumbai) and India Mobile Congress (New Delhi), the company will showcase its ACE-AI networking vision through masterclasses, panels, and a keynote by CEO Shekar Ayyar. These appearances will spotlight how AI-driven infrastructure can support signals, sentiment analysis, mobile networks, and financial operations.

Strategic Implications & Opportunities

• Competitive alternative: Arrcus positions itself as a serious alternative to established players like Cisco, Arista, and HPE-Juniper, especially in AI and datacenter networking.

• Scalability with efficiency: By enabling GPUs, DPUs, and CPUs to work closer together with the ACE-AI fabric, enterprises can scale AI workloads more efficiently.

• Local talent & innovation: With local leadership and engineering teams, Arrcus can adapt more quickly to India’s infrastructure, regulation, and demand patterns.

• Boost to mobile & edge growth: Collaboration with partners and hardware vendors means improved performance for edge/5G deployments, which is critical for India’s connectivity goals.

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