Third Party Maintenance for AI Infrastructure -Hardware Support Beyond OEM Warranty
Enterprise AI infrastructure represents some of the highest hardware investment in the modern data center.
We provide structured third party maintenance for GPU servers and accelerated compute platforms - keeping critical AI infrastructure operational beyond OEM support windows.
AI Infrastructure Is Too Valuable to Leave Unsupported
GPU servers and accelerated compute platforms represent some of the largest single hardware investments in the enterprise data center. When OEM support expires, that investment does not suddenly lose its capability - but it does lose its safety net.
Enterprise AI infrastructure - GPU servers, HPC clusters, high-speed networking, and AI-optimised storage - routinely continues operating at full capacity well beyond original warranty periods. Hardware generations that powered model training and inference workloads last year will continue doing so for years ahead.
The challenge is not the hardware. The challenge is ensuring that when a component fails - a PSU, a cooling module, a network adapter - there is a structured, SLA-backed response ready to restore operations. Without it, a single hardware fault can halt a training run that took days to reach, or take an inference cluster offline during production hours.
EPOKA provides third party maintenance for enterprise AI infrastructure, delivering hardware-layer support through contractual SLAs - ensuring that the organisations which have made the largest infrastructure investments also have the most reliable support coverage for them.
Understanding the TPM Scope for AI Infrastructure
Hardware Layer Support
Hardware Third Party Maintenance from EPOKA is OEM-independent - it continues regardless of NVIDIA EOSL dates or Enterprise Support contract status.
Software Stack - Stays with NVIDIA
EPOKA Third Party Maintenance is additive - organisations maintain their NVIDIA software subscriptions separately. Hardware and software support are independent layers.
How EPOKA AI Infrastructure Third Party Maintenance Is Delivered
Infrastructure Assessment
We review your AI hardware inventory - GPU servers, interconnect, and storage - against your operational requirements and current support status. This establishes which systems are approaching EOSL and where the support gaps are.
SLA Alignment
Training clusters and production inference environments have different criticality profiles. We structure SLA coverage to reflect this - 24x7x4H for mission-critical GPU systems, flexible response windows for development and staging environments.
Parts & Field Engineering
Critical spare components are staged in line with your SLA. When a fault occurs - a PSU failure, a failed NVMe module, a network adapter issue - certified field engineers are dispatched with the right parts to restore operations on schedule.
Ongoing Service Oversight
All supported AI infrastructure assets are tracked through the EPOKA Service Hub with full visibility into SLA performance, incident history, and asset status. Multi-site and multi-country AI environments operate under unified service standards.
Hardware Protection Aligned with AI Investment Scale
GPU infrastructure is not ordinary server hardware. The stakes of unplanned downtime are higher, the CapEx is larger, and the operational impact of a halted training run or offline inference cluster is immediate. Support coverage needs to match that reality.
24x7x4H for Training Clusters
GPU training runs cannot be paused while waiting for a response. EPOKA 24x7x4H SLA ensures hardware faults are addressed within four hours regardless of when they occur - protecting active workloads around the clock.
EOSL Coverage for Earlier GPU Generations
A100 and V100-based systems that have reached EOSL often remain fully productive. EPOKA TPM keeps these platforms under structured support - extending operational life and avoiding premature CapEx on next-generation hardware.
Significant Cost Reduction vs OEM
Enterprise support contracts for high-end GPU systems represent a large annual cost relative to the hardware's productive contribution. EPOKA TPM provides equivalent hardware-layer SLA at a substantially lower cost - freeing budget for the software and operational layers that drive AI capability.
Multi-Vendor AI Environments
Enterprise AI infrastructure rarely comes from a single manufacturer. NVIDIA compute, Dell or HPE chassis, SuperMicro systems, InfiniBand networking - all can be maintained under one EPOKA contract with a single SLA framework and one point of contact.
Global Coverage for Distributed AI Deployments
AI infrastructure increasingly spans multiple sites - on-premise training clusters, regional inference nodes, and edge deployments. EPOKA delivers consistent TPM coverage across 100+ countries with unified SLA standards across all locations.
Lifecycle Extension Over Premature Refresh
Next-generation GPU hardware is among the most expensive infrastructure available. Extending the operational life of proven, stable platforms with structured TPM coverage is often the strategically correct decision - deferring refresh until business case and supply genuinely justify it.
Supported GPU and AI Infrastructure Platforms
EPOKA provides third party maintenance for GPU servers and AI infrastructure across multiple manufacturers and hardware generations. Coverage spans current production systems as well as earlier generations that remain operationally active but have reached or are approaching EOSL.
AI infrastructure environments rarely comprise a single hardware vendor. EPOKA's multi-vendor capability allows organisations to consolidate support for NVIDIA-based systems, Dell and HPE chassis platforms, SuperMicro systems, and associated high-speed networking under a single service agreement - with consistent SLA standards across all covered hardware.
Coverage for specific platforms, configurations, and emerging GPU generations is confirmed during the infrastructure assessment. Contact us with your hardware inventory for a detailed coverage review.
| Vendor / platform | category | EOSL Covered |
|---|---|---|
| NVIDIA (GPU platforms) | A100, H100, H200, B200, V100 - based server systems | Yes |
| Dell AI Servers | PowerEdge XE-series GPU-optimised platforms | Yes |
| HPE AI Servers | ProLiant and Cray XD accelerated compute systems | Yes |
| SuperMicro AI Systems | GPU-optimised multi-node and blade platforms | Yes |
| HPC Cluster Infrastructure | High-performance compute nodes and interconnect | Yes |
| Additional vendors | AI infrastructure platforms upon request | On request |
Coverage confirmed at assessment against your specific asset inventory, hardware generations, and configurations.
Why Organisations Switch AI Infrastructure Support to EPOKA
| Factor | OEM Support | EPOKA TPM |
|---|---|---|
| Annual hardware support cost | High - increases as hardware ages | Significantly lower - hardware-layer only |
| EOSL GPU platform coverage | None - ends at EOSL date | Full - support continues beyond EOSL |
| Hardware refresh pressure | High - OEM benefit from accelerating upgrade | None - EPOKA has no hardware sales interest |
| Multi-vendor AI environment | No - separate contract per manufacturer | Yes - all vendors under one EPOKA contract |
| SLA flexibility | Standard OEM tiers - limited customisation | Mixed SLAs per criticality within one contract |
| Lifecycle control | OEM-driven - aligned with product sales cycle | Organisation-driven - aligned with business need |
Consistent Support Wherever Your AI Infrastructure Is Deployed
Enterprise AI infrastructure is increasingly distributed, training clusters in primary data centers, inference nodes in regional facilities, and edge deployments close to production systems. EPOKA delivers third party maintenance across Europe and in more than 100 countries worldwide, with consistent SLA standards across all covered sites.
Response times, escalation procedures, and service standards remain aligned regardless of location. Multi-site AI environments benefit from centralised SLA tracking and asset visibility through the EPOKA Service Hub, giving infrastructure teams a unified view of support status across their entire AI estate.
Structured hardware support across global AI deployments is not just a convenience, it is a prerequisite for running enterprise AI at scale with predictable operational performance.
Protect Your AI Infrastructure Investment.
With EPOKA AI Infrastructure TPM, organisations gain SLA-backed hardware support for GPU servers and accelerated compute platforms - beyond OEM warranty, across multiple vendors, in 100+ countries. AI infrastructure decisions stay strategic, not reactive.
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Our TPM specialists handle AI infrastructure assessments from single-site GPU clusters to multi-country accelerated compute environments.
Contact Our TPM TeamFrequently Asked Questions
Questions organisations ask about third party maintenance for GPU servers and AI infrastructure.
What is third party maintenance for AI infrastructure?
Can GPU servers be supported after OEM support ends?
What does third party maintenance cover on GPU servers?
Is third party maintenance cheaper than OEM support for GPU servers?
What SLA options are available for AI infrastructure support?
Which AI hardware platforms can EPOKA support?
When should organisations consider TPM for their AI infrastructure?
