NVIDIA A2 16GB GDDR6 PCIe GPU Accelerator

NVIDIA A2 16GB GDDR6 PCIe GPU Accelerator

Brand: NVIDIA | Category: GPUs

SKU: 900-2G172-0000-000 | Part #: 900-2G172-0000-000 | MPN: 900-2G172-0000-000

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About the NVIDIA A2 16GB GDDR6 PCIe GPU Accelerator

At a glance — key specifications

GPU Memory16 GB
Memory TypeGDDR6
Part Number900-2G172-0000-000
ManufacturerNVIDIA
Power Connector12V-2x6 / 16-pin (server-class)

Perfect for

  • LLM training (GPT, Llama, Falcon, DeepSeek scale)
  • Inference farms and RAG infrastructure
  • High-performance computing (CFD, weather, genomics)
  • Visualisation and rendering farms
  • Scientific / academic research clusters

Frequently asked questions

What server platforms accept the NVIDIA A2 16GB GDDR6 PCIe GPU Accelerator?

Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.

Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?

Yes — Omnixon supplies the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.

Request a quote for the NVIDIA A2 16GB GDDR6 PCIe GPU Accelerator

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Technical Specifications

BrandNVIDIA
CategoryGPUs
SKU900-2G172-0000-000
Part Number900-2G172-0000-000
ConditionNew
GPU Memory16 GB
Memory TypeGDDR6
Power Connector12V-2x6 / 16-pin (server-class)
Manufacturer Part Number900-2G172-0000-000
GPU ArchitectureAmpere
Form FactorPCIe Single-Slot
InterfacePCIe 4.0 x16
Max Throughput130 TFLOPS (FP32)
Memory Bandwidth432 GB/s
Max Power Consumption70 W
Operating Temperature0–55°C
CompatibilityNVIDIA CUDA, TensorRT, vLLM

Frequently Asked Questions about NVIDIA A2 16GB GDDR6 PCIe GPU Accelerator

What server platforms accept the NVIDIA A2 16GB GDDR6 PCIe GPU Accelerator?

Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.

Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?

Yes — Omnixon supplies the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.