GPU and data center infrastructure for AI workloads in India
Larsen & Toubro Vyoma operates a GPU-as-a-Service and colocation business backed by L&T's infrastructure heritage. The stack—AWS, Azure, GCP, Kubernetes, NetApp, alongside quantum frameworks (Qiskit, Cirq)—reflects a multi-cloud, workload-agnostic posture. Active hiring skews senior and leadership (9 of 15 roles), concentrated in engineering and ops, suggesting both technical depth in infrastructure design and operational scaling as the company expands cloud and AI service capacity.
Larsen & Toubro Vyoma delivers managed cloud, colocation, and GPU infrastructure services to enterprises and government in India. The company operates hyperscale-ready data centers with focus on energy efficiency, direct liquid cooling, and compliance (ISO standards, network security). Core service lines span colocation, cloud transformation, managed services, and emerging GPU-as-a-Service offerings for AI workloads. Pain points center on capacity planning, cost optimization, energy efficiency, and predictive maintenance—typical for infrastructure operators scaling throughput while controlling operational cost.
Multi-cloud (AWS, Azure, GCP), container orchestration (Kubernetes), data center management (NetApp, VMware, OpenStack), quantum (Qiskit, Cirq), messaging (Kafka, RabbitMQ), and security (Microsoft Defender, Sentinel, AWS GuardDuty).
GPU-as-a-Service, colocation, managed cloud services, data center operations, network security, and AI infrastructure. Active projects include direct liquid cooling, data center fire suppression design, and quantum POCs.
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