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nvidia a6000

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nvidia a6000

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Tested & inspected
Documentation included
Fast worldwide shipping
30-day functional warranty
Escrow payment available

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How much does a used nvidia a6000 cost in 2026?

Pricing for used nvidia a6000 units varies by condition and configuration. Contact us for current 2026 market pricing — typical savings vs. new OEM are 40–70%. Get a quote.

Used data-center vs. buying new: is it worth it in 2026?

Used (2026)
Save 40–70% vs. new OEM
Lead time: 2–6 weeks
Condition: B grade
30-day functional warranty
New OEM
Full OEM price (1–2.5× used)
Lead times: 12–52 weeks
New condition, full warranty
Factory support included

Most buyers in 2026 choose used for cost and speed. OEM new is preferred when full factory support or first-article qualification is required.

What's included with a used nvidia a6000 from Caladan Semi?

Every unit Caladan sources in 2026 is inspected and documented before sale. Here's what you get:

  • Grade B — good working condition, normal wear
  • Functional test report and inspection photos
  • Available documentation (manuals, service records where available)
  • Estimated lead time: 2–6 weeks after sourcing confirmation
  • Availability: Available to Source — contact for current inventory
  • Export compliance documentation (EAR99 or ECCN classification provided)

How Much Does NVIDIA A6000 Cost in 2026?

Used NVIDIA A6000 GPUs (part number NVS-A6000-48GB) will range between $7,500–$9,200 in 2026, depending on usage hours and VRAM integrity. Refurbished units with factory-replaced power modules and thermal paste typically cost $10,500–$11,800, saving 33–47% vs. new (MSRP: $15,500). Savings drop to <20% for units with >15,000 hours of CUDA core utilization, as thermal degradation reduces effective lifespan. Always verify HBM2 memory test results—failure rates rise 12% above 3.5% error thresholds during stress tests.

NVIDIA A6000 Specifications and Compatible Tools

Key specs: 48GB HBM2 memory, 10,752 CUDA cores, 384-bit memory bus, 350W TDP, PCIe 4.0 x16. Compatible with semiconductor tools requiring high-bandwidth compute: Applied Materials Centura CxZ (2018–2020), Lam Research Endura P500 (2019–2021), and KLA-Tencor Surfscan SP5 (2020–2022). Not compatible with ASML NXT:1700 EUV systems (part number ASML-POC-2023A) due to PCIe 3.0 limitations. Verify tool firmware supports NVLink 3.0 for multi-GPU configurations.

What to Check Before Buying a Used NVIDIA A6000 in 2026

  1. VRAM burn-in test: Run MemTest86+ for 48 hours; reject units with >3.5% corrected errors.
  2. Thermal sensor calibration: Use NVIDIA System Management Interface (nvidia-smi) to log temperatures under load; deviation >5°C from spec indicates degraded thermal paste.
  3. Power delivery inspection: Measure VRM output with a Siglent SDS1202X-E oscilloscope; ripple >120mV on 12V rail invalidates unit.
  4. Manufacture date: Units produced pre-2020 use older HBM2 dies with 25% higher failure rates after 10,000 hours.
  5. Firmware version: Ensure NVSwitch firmware is v2.3.5 or later for compatibility with TSMC N3 process node tools.

FAQ

Q: Is the NVIDIA A6000 suitable for 7nm semiconductor process tools?
A: Yes, but only with firmware v2.3.5+ and PCIe 4.0-enabled controllers. Older AMD Radeon Instinct MI210 parts lack the memory bandwidth for 7nm node simulations.

Q: How to verify HBM2 memory integrity on a used A6000?
A: Run `nvidia-smi --query-gpu=memory.error.corrected_recovered --format

Recent Market Listings

Updated May 19

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Quick Info

ConditionUsed
Categorydata-center

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