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NVIDIA

NVIDIA 900-2G179-0020-100 | A2 Tensor Core, 16GB GDDR6 128-bit, 200GB/s, PCIe 4.0 x8, 40–60W, single-slot low-profile

SKU:900-2G179-0020-100

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Description

Compact, low-power Tensor Core GPU for AI inference, analytics, and virtualization in space-constrained servers. Delivers 16GB GDDR6 bandwidth of 200GB/s over PCIe 4.0 x8 in a single-slot low-profile form factor with a 40–60W configurable power envelope. Compute-focused with no display outputs.

Features

- Low-profile, single-slot footprint for dense deployments
- 16GB GDDR6 for larger inference batches and models
- PCIe 4.0 x8 connectivity with 200GB/s memory bandwidth
- 40–60W operation for excellent performance per watt
- Compute-only design ideal for AI inference at the edge or in the data center

Warranty

All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.

All technical data should be verified on the manufacturer data sheets.

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FAQs

Technical Specifications

FAQs

Q: Does it require external PCIe power connectors?
A: No. It operates within the PCIe slot power budget.

Q: Will it fit in small form factor servers?
A: Yes, the low-profile, single-slot design is optimized for compact chassis—verify length and airflow clearance.

Q: Can it drive monitors?
A: No. This model is compute-focused and has no display outputs.

Q: Which software frameworks are supported?
A: Designed for CUDA-accelerated workloads and commonly used with frameworks such as cuDNN and TensorRT.

Technical Specifications

- GPU architecture: Ampere
- Tensor Cores: yes (AI inference acceleration)
- VRAM: 16GB GDDR6
- Memory interface: 128-bit, 200GB/s
- Interface: PCIe 4.0 x8
- Power: 40–60W configurable (no external power required)
- Form factor: low-profile, single-slot
- Outputs: none (compute-focused)

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