In today’s rapidly evolving digital landscape, enterprises are under pressure to modernize their infrastructure, accelerate AI adoption and optimize costs, all without compromising performance or security. At the convergence of these demands stands a powerful triad: HCLTech’s modernization and cloud services, Nutanix’s hybrid multicloud platform and AMD’s high-performance EPYC CPU portfolio.
This combination is becoming a compelling choice for organizations seeking a future-ready foundation for AI, virtualization and cloud native workloads.
A strategic alliance built for the AI era
Enterprises are aggressively shifting toward hybrid multicloud and AI-ready architectures. Nutanix delivers the ideal software foundation with its unified platform for compute, storage, virtualization and Kubernetes, enabling organizations to deploy workloads consistently across datacenter and cloud environments. Underneath this platform, AMD EPYC™ CPUs provide high density, lower power consumption and superior cost efficiency, making it a strong business case for CIOs and CFOs.
According to AMD study, EPYC 9004 processors can reduce server footprint by up to 5:1 when consolidating aging infrastructure, while also consuming up to 29% less power than competitors' equivalents, translating directly into lower operational expenses and CAPEX reductions of up to 46%.
For enterprises, this means:
- Lower datacenter energy costs
- Reduced rack space requirements
- Longer-term investment protection through scalable performance
- Faster ROI on modernization initiatives
When bundled with HCLTech’s infrastructure transformation, hybrid cloud acceleration and managed services, customers gain a streamlined path to modernization backed by global delivery excellence.
What makes Nutanix on AMD EPYC™ so powerful?
From a technical standpoint, Nutanix plus AMD EPYC™ creates a highly optimized platform for AI and enterprise workloads:
1. Exceptional compute density
AMD EPYC™ 9004 series CPUs deliver up to 128 cores per processor, powering dense virtualization clusters ideal for high-performance computing, databases and AI inferencing workloads.
2. Superior efficiency for AI, storage and virtualization
Nutanix HCI running on AMD-powered nodes enables:
- Faster VM consolidation
- Efficient AI pipeline execution (data prep → inference → scale-out serving)
- High-throughput NVMe storage performance
Nutanix's software stack is optimized for flexibility, enabling customers to run AI workloads, VDI, business-critical apps and storage-heavy applications on the same cluster.
3. GPU choice and AI readiness
Nutanix Enterprise AI supports all major accelerators, including AMD GPUs, enabling organizations to build AI factories without vendor lock-in.
This platform-level flexibility is further enhanced by OEM ecosystems such as Dell/HPE, whose servers integrate AMD’s EPYC™ CPUs and Instinct™ MI300X accelerators to deliver enterprise-scale AI performance.
4. Cloud native enablement
With the Nutanix Kubernetes Platform, enterprises can deploy and operate containerized AI and data workloads with:
- Consistent governance
- Automated lifecycle management
- Built-in security
- Seamless integration with HCLTech’s cloud native services
Why enterprises are rethinking traditional infrastructure designs
As enterprises design for AI-driven workloads, many are reassessing infrastructure priorities such as consolidation, power efficiency, scalability and operational simplicity. Processor and platform choices are typically evaluated against these requirements, along with availability, ecosystem support and total cost of ownership.
Example considerations when evaluating AMD EPYC™ for enterprise platforms:
1. Higher core density
AMD EPYC™ processors offer up to 128 cores. For some environments, higher core counts can support:
- Higher VM density
- Greater parallelism for AI inferencing
- Reduced server sprawl
2. Better power efficiency
Depending on configuration and workload, AMD EPYC™-based servers may help improve energy efficiency and reduce the number of nodes required to meet performance targets.
- Use up to 29% less power versus competition equivalents
- Require fewer nodes to achieve similar performance
With sustainability becoming a board-level mandate, this is a strategic advantage.
3. Lower TCO and CAPEX
AMD cites that certain refresh scenarios can reduce CAPEX by up to 46% compared to maintaining older infrastructure (results vary by environment).
This makes AMD-based Nutanix clusters particularly attractive for:
- Datacenter consolidation
- AI infrastructure buildouts
- Edge expansion
4. Openness and choice
Nutanix’s platform supports AMD, Intel and NVIDIA. When selecting components, organizations often consider factors such as:
- High core density
- Lower cost per core
- Strong AI accelerator roadmap (Instinct MI series)
This flexibility can help customers align infrastructure choices to application needs and reduce the risk of vendor lock-in.
The HCLTech advantage
HCLTech amplifies the value of the Nutanix and AMD ecosystem through:
Modernization services
Cloud, datacenter and virtualization transformation leveraging AMD-advanced Nutanix clusters.
Managed infrastructure operations
Enterprise-grade operations for hybrid multicloud, AI workloads and mission-critical systems.
AI and Data Engineering services
Building RAG pipelines, AI factories and analytics platforms on Nutanix Enterprise AI, fully optimized for AMD compute.
Global scale and integration
Proven delivery frameworks and integration accelerators can help enable faster, safer transitions from legacy infrastructure to modern architectures aligned to business and workload requirements.
Final takeaway
The combination of HCLTech, Nutanix and AMD represents a next-generation enterprise stack that delivers:
- Lower TCO
- Higher performance
- Better energy efficiency
- AI and hybrid cloud readiness
- Freedom from vendor lock-in
As AI becomes central to every enterprise strategy, the infrastructure powering it must be efficient, scalable and futureproof. Together, HCLTech, Nutanix and AMD are delivering exactly that, a modern AI-first foundation built for the workloads of tomorrow.
To learn more about our partnership with AMD, visit our AMD Ecosystem Webpage

