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Special Offer: NVIDIA A100X 80GB PCIe GPU for Only €17,000

  • Writer: server-parts.eu server-parts.eu
    server-parts.eu server-parts.eu
  • Aug 15
  • 3 min read

NVIDIA A100X 80GB (PN: 900-21004-0030-000) is a converged accelerator: an A100 80GB Tensor Core GPU plus a BlueField-2 DPU on a single dual-slot PCIe card, with two 100 Gb/s network ports and a 300 W TDP.


Available now for only €17,000 — a rare opportunity to get the NVIDIA A100X 80GB PCIe at this price before stock runs out.

Limited Stock - No Upfront Payment - Test First, Pay Later


NVIDIA A100X 80GB PCIe GPU powering AI workstation for deep learning, HPC, and data center workloads, accelerating machine learning models, scientific computing, and high-performance data analytics. server-parts.eu refurbished


Quick Specs You’ll Actually Use – NVIDIA A100X 80GB PCIe GPU


  • Form factor: Dual-slot, Full-Height, Full-Length (FHFL), passive (server airflow required).

  • Interface: PCIe Gen4 (x16 physical). NVLink bridge supported for pairing two cards.

  • GPU memory: 80 GB HBM2e, ~2,039 GB/s bandwidth.

  • Networking: 2×100 Gb/s ports (Ethernet or InfiniBand) exposed by the on-board BlueField-2.

  • Compute (peak, per GPU): FP64 9.9 TFLOPS; TF32 159 TFLOPS; FP16 318.5 TFLOPS (with sparsity).

  • MIG (partitioning): Up to 7 isolated GPU instances.

  • Max power: 300 W; typical servers feed it via an 8-pin (2×4) auxiliary GPU power lead.

  • Part number match: PN 900-21004-0030-000 corresponds to NVIDIA A100X 80GB PCIe in channel listings.



What Makes A100X Different from a Regular A100 80GB PCIe – NVIDIA A100X 80GB PCIe GPU


  • On-board DPU (BlueField-2): Offloads/accelerates networking, storage, and security; runs its own ARM cores; gives you the 2×100 Gb/s ports on the card.


  • Integrated PCIe switch (GPU↔DPU “fast path”): Data can move between network↔DPU↔GPU without traversing the host PCIe, cutting latency and jitter for I/O-heavy pipelines.


  • Same NVIDIA A100 compute & memory as the standard PCIe card (80 GB HBM2e, MIG, NVLink), but in a single board that’s “network-ready.”



When It’s a Great Fit – NVIDIA A100X 80GB PCIe GPU


  • AI on 5G / vRAN / signal processing: Tight, predictable GPU↔NIC↔network path; lower host involvement.


  • Security & networking analytics at line rate: DPU can steer/inspect flows; GPU handles ML inference/training on traffic.


  • Multi-tenant clusters: Carve a single card into MIG slices with QoS for multiple jobs/users.



When You Might Prefer Something Else – NVIDIA A100X 80GB PCIe GPU


  • Pure training speed in a GPU-dense server: NVIDIA A100 SXM4 platforms outperform PCIe variants due to higher power/links—useful for big models; but they require SXM servers.


  • You don’t need DPU features: A standard NVIDIA A100 80GB PCIe (no BlueField) can be simpler/cheaper; or pair an NVIDIA A100 with a separate ConnectX-6 Dx NIC if you only need 100 GbE/IB.


  • Newer generation: If budget allows and you want longer runway, evaluate H100 PCIe or newer—higher performance and HBM3, but higher cost and power.



Compatibility & Integration Checklist (Practical) – NVIDIA A100X 80GB PCIe GPU


  • Chassis & cooling: Needs a server with strong front-to-back airflow for passive FHFL, dual-slot cards. Not for open-air workstations.


  • Power budget: Reserve 300 W per card + headroom; ensure the correct 8-pin auxiliary cable kit for your server model.


  • PCIe lanes & spacing: One x16 slot; allow adjacent slot space (dual-slot width). NVLink needs supported slot spacing and the correct bridge.


  • Networking: Plan optics/DACs for 2×100 Gb/s QSFP56 ports, and whether you’re running Ethernet or InfiniBand end-to-end.


  • Software:

    • GPU: Standard NVIDIA Data Center drivers/CUDA; MIG supported.

    • DPU: NVIDIA DOCA/BlueField-2 software stack for offloads and security services.

    • Optional: vGPU/AI Enterprise licensing depending on your virtualization/enterprise support needs.



Performance Notes (What to Expect) – NVIDIA A100X 80GB PCIe GPU


  • Raw compute of NVIDIA A100X matches NVIDIA A100 80GB PCIe (Ampere, 80GB HBM2e). For training/inference throughput, numbers are in the same ballpark; the advantage of NVIDIA A100X is I/O-heavy pipelines thanks to DPU offloads and the direct GPU↔DPU path.


  • For maximum single-node training performance, NVIDIA SXM A100 outpaces PCIe A100 due to higher power limits and interconnect; NVIDIA A100X doesn’t change that—its value is GPU plus smart networking on one card.



What to Verify Before You Buy – NVIDIA A100X 80GB PCIe GPU


  • Exact variant: Confirm it’s the NVIDIA A100X 80GB (converged with BlueField-2), not a standard NVIDIA A100. Match label/PN.


  • Thermal profile: Passive heatsink version (most are). Ensure your server model explicitly supports it.


  • Power cabling kit for your server brand (Lenovo/Dell/HPE kits differ).


  • Accessories you need: NVLink bridge (if pairing), QSFP56 optics/DACs for 100 Gb/s, rack airflow baffles if needed.


  • Licensing: Budget for AI Enterprise / vGPU (if virtualizing) and DOCA components for DPU features.



Bottom Line – NVIDIA A100X 80GB PCIe GPU


  • Choose NVIDIA A100X 80GB if you want NVIDIA A100-class compute + built-in 2×100 Gb/s and DPU offloads on one card for I/O-heavy, low-latency workloads (AI-on-5G, packet analytics, secure data paths).


  • If you only need raw GPU horsepower and already have NICs, a standard NVIDIA A100 80GB PCIe (or newer gen) may be simpler and sometimes cheaper; for max training throughput in a supported chassis, NVIDIA A100 SXM (or H100) wins.



NVIDIA A100X 80GB PCIe GPU

Limited Stock - No Upfront Payment - Test First, Pay Later



Sources – NVIDIA A100X 80GB PCIe GPU


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