The first wave of GPU-heavy AI servers is now 3+ years old, right where support strategy, spare availability, and response time start to matter as much as the original hardware investment.
AI gets the attention. Service keeps it running. We're seeing rising demand for TPM support across GPU-heavy systems from Dell, Supermicro, Lenovo, and HPE.
Running something else? Send us the configuration and we'll tell you what can be supported, what sparing looks like, and where Systain TPM makes sense.
We're seeing increased demand for TPM support across GPU-heavy systems as the first generation of AI servers ages past standard coverage. Systain TPM replaces rigid, one-size-fits-all OEM support with maintenance built around how you actually run.
Talk to an EngineerResponse and resolution times set around your AI workload's risk, not a standard OEM tier.
Know what GPU and system parts are in stock, where, and how fast they reach you.
Talk to engineers who know GPU-heavy platforms, not a tiered support queue.
Extend the life of high-value GPU infrastructure without forced refresh cycles.
See how Systain stacks up against OEM support and other TPM providers for GPU-heavy infrastructure.
| Feature | Systain | OEM | Other TPM Providers |
|---|---|---|---|
| 24/7 Direct Engineer Access | ✓Always available, including engineers who know GPU-heavy platforms; no waiting, no escalations | ✕Limited access, tiered response structure | ◐Often routed through scripted tiers |
| Customizable SLAs | ✓SLAs tailored to your AI workload's risk, environment, and budget | ✕Fixed SLAs, one-size-fits-all | ◐Often templated with limited flexibility |
| GPU Spare Parts Strategy | ✓Full transparency into A100/H100 sparing and location | ✕Standardized practices; no visibility or customization | ◐Limited customization and visibility |
| Full Lifecycle Coverage | ✓From current-generation GPUs to deep EOSL; no forced refresh of expensive AI hardware | ✕Only supports currently sold or OEM-supported gear | ◐Coverage varies; often lacks EOSL support |
| Privately Owned, Customer-First | ✓No investors or quotas; we act fast on your direction during GPU failures and other AI infrastructure emergencies | ✕Shareholder-driven priorities | ◐Private equity-owned; decisions driven by scale and investor ROI |
| Flexible and Empowered Support | ✓Dedicated team that understands your GPU environment, with tailored communication and site-specific preferences | ✕Generic contacts and service; limited attention unless a top-tier account | ◐Disjointed support teams; inconsistent response and limited customization |
"The engineer who answered had already pulled up our configuration and was troubleshooting before I finished explaining the issue."
"We consolidated seven maintenance contracts into one Systain agreement and cut our annual support spend by 47%."
"The transparency around sparing gave us confidence from day one. We always knew what was covered and how support would be delivered."
Get a support plan built around your AI infrastructure before the gap becomes downtime.
Talk to an EngineerTell us what you're dealing with. Your account manager will respond same-day with solutions, not a product brochure.