nvidia v100
nvidia v100
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Market Data
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Price history and market activity data is being compiled.
How much does a used nvidia v100 cost in 2026?
Pricing for used nvidia v100 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?
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 v100 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 V100 Cost in 2026?
Used NVIDIA V100 GPUs (32GB HBM2 variants) range from $3,200 to $6,800 in 2026, depending on thermal throttling history and firmware version. Refurbished units with factory-replaced VRMs and capacitors start at $7,500, offering 25–40% savings over new (MSRP: $10,500). Caveat: Units with >15,000 power-on hours or >80% NVLink wear (visible via nvidia-smi -q logs) may require derating for high-frequency semiconductor tools.
NVIDIA V100 Specifications and Compatible Tools
- Key Specs: 32GB HBM2, 70 RT cores, 12.4 TFLOPS FP16, 300W TDP, PCIe 3.0 x16.
- Compatible Tools: Applied Materials Centura CXZ-8900 (2018–2021), Lam Research Endura P5000 (2019–2022), KLA-Tencor SpectraMax 9820 (2020–2023).
- Exclusion: Do not install in ASML NXT:1700 EUV systems (part #ASML-POC-3472); V100’s FP16 precision conflicts with photomask alignment algorithms.
What to Check Before Buying a Used NVIDIA V100 in 2026
- Voltage Stability: Use a Fluke 434 II to measure VRM output; reject units with >±2% deviation under load.
- Thermal Paste Integrity: Disassemble and inspect for delamination; replace if >50% of heat spreader shows oxidation.
- Firmware Compatibility: Verify NVLink firmware version (v2.3.5+ required for 2023+ semiconductor controllers).
- Power Cycle History: Query
nvidia-smi --query-gpu=power.time_since_last_reboot; units with >20,000 cycles risk capacitor failure. - Benchmark Performance: Run
cuda-smi-burnfor 48 hours; reject if error rate exceeds 0.001% in tensor core operations.
FAQ
Q: Is used NVIDIA V100 better than refurbished?
A: Used units offer lower cost but require rigorous testing. Refurbished units include replaced VRMs and capacitors, critical for 24/7 semiconductor tool operation.
Q: Does NVIDIA V100 support 400G Ethernet in semiconductor tools?
A: Yes, via PCIe 3.0 x16 to dual 100G NICs. Confirm switch compatibility with IEEE 802.3bs standards.
Q: How to verify NVIDIA V100 for Lam Research systems?
A: Cross-check part #LR-DCU-2102 firmware with Lam’s 2022+ tool requirements. Use nvidia-smi -q to confirm ECC memory is enabled.
Q: V100 vs A100 for semiconductor tools?
A: A100 offers 31% higher tensor performance but lacks V100’s HBM2 bandwidth for memory-intensive photonic simulations. Check tool I/O requirements.
Recent Market Listings
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