Solution
Lifecycle & Second Life
Cards run six years and longer, past what vendors planned for. Fluid Silicon shows which cards can stay, when the rest will need attention, and what a card leaving service is worth.
Measured impact
On production shells, at realistic utilization.
*Fluid Silicon measurements. Varies with variation pattern, workload, vendor and device age.
Applications
Four applications, one measurement.
Service-Life Extension
Cards kept in service on measured health, not age.
Learn moreReplacement Planning
A replacement date per card for capacity and budget planning.
Learn moreExit Characterization
A measured record of every card leaving service.
Learn moreResale, Reuse or Retire
The next step for each card, with the data behind it.
Learn moreService-Life Extension
Retire cards because they are failing, not because they are old.
- An aging curve per card from its temperature history.
- Cards inside their margin kept in service, with evidence.
- Operating points lowered where that buys years, in your windows.
- Repair instead of replacement where your policy allows.
Beyond the vendor's plan
Cards now run six years and more in production. Per-card measurement is what makes that safe.
Replacement Planning
A replacement date per card, not a fleet average.
- Time-to-threshold for every card, updated with every sweep.
- Capacity planning from measured health.
- Budgets timed to when cards will need attention.
- Outliers surfaced early.
Plans on evidence
Maintenance planned around guesses costs capacity and spare hardware held in reserve.
| Card | Family | Weakest element | Time to threshold | Status |
|---|---|---|---|---|
| A3-07 | Virtex UltraScale+ | 8.2% | 1.4 yrs | Action |
| B1-12 | Agilex 7 | 11.9% | 2.8 yrs | Watch |
| C4-02 | UltraScale | 12.6% | 3.1 yrs | Watch |
Exit Characterization
Measure it on the way out.
- Every LUT and carry block measured again at exit.
- The same report as at incoming, so the two compare directly.
- Evidence for warranty claims and vendor feedback.
- A record that travels with the card.
Characterization brackets service
Once on the way in, continuously in production, once on the way out.
Resale, Reuse or Retire
What a used card is worth.
- Measured margin and aging history support a resale price.
- Cards with healthy margin redeployed to less critical roles.
- Cards near the threshold retired before they fail elsewhere.
- Sustainability reporting from measured extension, not estimates.
The energy behind margin
Running every chip as if it were the worst one costs energy on every card, every year. Measurement is where the sustainability case starts.
Industries
Where it applies.
Resources
BlogAging is measurable, in the field
Temperature sets the aging rate. The same board reaches its threshold years apart in a cool rack and a hot enclosure, and now that can be measured.
ReadFive board generations, one health metric
What mixed-vendor, multi-generation fleets need from telemetry: one number that means one thing on every part.
ReadWhat a point of card power is worth
A worked example for 10,000 cards: the arithmetic behind adaptive voltage scaling at fleet scale.
ReadFAQ
Common questions.
Sensor architecture, deployment mechanics and calibration methods are shared with evaluation partners under NDA.
How much longer can cards stay in service?
As long as their measured margin supports it. The aging model gives each card a time-to-threshold; cards inside their margin stay, cards approaching it are planned for.
Is extending service life safe?
Every card is measured about once a second for its whole life, and the operating point can be lowered where that buys years. Nothing rests on the card's age or a vendor's worst case.
What does exit characterization give us?
A measured record of the card at the end of service, comparable with its incoming report: evidence for resale, reuse, warranty and vendor feedback.
Does this help with sustainability reporting?
Yes. Extension and energy savings are measured per card rather than estimated.
Which devices are supported?
AMD 7-series, UltraScale and UltraScale+ today, with select Altera Agilex 7 devices; more families in development. See device support.
Can we start with retirement decisions only?
Yes. Monitoring and modeling are read-only, and the time-to-threshold alone is enough to plan replacements. Tuning and repair are separate, opt-in steps.
Measure a device at speed, live.
A 30-minute session: in-system slack measurements on a supported AMD or Altera device, and what an evaluation on your boards involves.