As enterprises accelerate digital transformation, they face intensifying pressure to modernize infrastructure, scale AI adoption and control costs, without compromising performance, security or operational stability. Addressing these demands requires more than incremental upgrades. It calls for a cohesive, outcome-driven ecosystem that aligns platform innovation, silicon leadership and transformation services.
At this convergence is a powerful combination: HCLTech’s infrastructure modernization and managed services, Nutanix’s hybrid multicloud platform and AMD’s high-performance EPYC™ processors. Together, they provide enterprises with a future-ready foundation purpose-built for AI, virtualization and cloud-native workloads.
A strategic alliance built for the AI era
Hybrid multicloud has become the default enterprise operating model, especially as AI workloads demand flexibility across on-prem, edge and cloud environments. Nutanix delivers a unified platform for compute, storage, virtualization and Kubernetes, enabling consistent deployment and operations across locations.
Underpinning this platform, AMD EPYC™ processors deliver high core density, strong performance per watt and compelling total cost of ownership. In consolidation and refresh scenarios, EPYC™-based platforms can significantly reduce server footprint and power consumption compared to legacy environments, delivering benefits that resonate with CIOs, CFOs and sustainability leaders alike.
When combined with HCLTech’s digital transformation expertise, enterprises gain a lower-risk, faster path to modernization, backed by scalable execution, operational rigor and a clear focus on business outcomes and not just infrastructure deployment.
Why Nutanix on AMD EPYC™ is a strong enterprise platform
From a technical and architectural perspective, Nutanix and AMD form a highly optimized foundation for modern workloads.
High compute density and scalability
AMD EPYC™ 9004 series processors deliver up to 128 cores per CPU, enabling dense virtualization clusters ideal for databases, analytics, high-performance computing and AI inference. Higher core density allows organizations to consolidate more workloads per node, reducing server sprawl and infrastructure complexity.
Efficiency across AI, storage and virtualization
Nutanix HCI running on AMD advanced nodes supports faster VM consolidation, high-throughput NVMe storage and efficient execution of AI pipelines, from data preparation to inference and scale-out serving. Enterprises can run AI workloads, VDI, business-critical applications and storage-heavy workloads on a single platform, improving utilization and simplifying operations.
GPU choice and AI readiness
Nutanix Enterprise AI supports all major accelerators, including AMD GPUs, enabling enterprises to build AI platforms without vendor lock-in. This flexibility extends across leading OEM ecosystems, where AMD EPYC™ CPUs and Instinct™ accelerators power enterprise-scale AI deployments.
Cloud-native enablement
With the Nutanix Kubernetes Platform, organizations can operate containerized data and AI workloads with built-in security, governance and lifecycle automation, which is further strengthened by HCLTech’s cloud native engineering, application modernization and platform operations expertise.
How HCLTech accelerates value with VelocITy-N
Technology alone does not guarantee outcomes. HCLTech’s VelocITy-N is the value-realization framework that helps enterprises translate AMD-advanced Nutanix platforms into sustained business impact.
Accelerated infrastructure modernization
Through VelocITy-N, HCLTech helps enterprises move from fragmented legacy environments to high-density Nutanix platforms powered by AMD EPYC™. Factory-based migration accelerators and proven methodologies reduce risk while delivering predictable modernization timelines and faster cost benefits.
AI-ready foundations from day one
With VelocITy-N, HCLTech embeds AI-first design principles into infrastructure from the start, designing AI-optimized configurations, deploying Nutanix Enterprise AI on AMD CPUs and GPUs and integrating data platforms, MLOps pipelines and governance. This enables faster AI use-case rollout without costly rework.
Cost, performance and sustainability optimization
Using telemetry and other tools VelocITy-N continuously tunes performance per watt and cost per workload. Power-aware placement and rightsizing help enterprises achieve ongoing TCO reduction while advancing sustainability goals.
Cloud-like operations for hybrid reality
Through VelocITy-N, HCLTech delivers cloud operating model discipline across on-premises, edge and cloud environments and provides 24×7 managed services, SRE-driven runbooks, lifecycle automation and AI-driven incident prediction.
Final takeaway
The true promise of AI-ready infrastructure is not raw performance, it is speed, efficiency and certainty of outcomes. By combining AMD EPYC™ high-density, energy-efficient compute, Nutanix’s hybrid multicloud and AI platform and HCLTech’s VelocITy-N transformation and operations framework, enterprises gain a future-proof, AI-first foundation that delivers lower costs, faster AI adoption and long-term operational resilience.
To learn more about how HCLTech is helping enterprises modernize infrastructure and accelerate AI adoption with AMD, visit: https://www.hcltech.com/amd
