NVIDIA 900-2G179-0020-100 | A2 Tensor Core GPU, 16GB GDDR6, 40-60W, PCIe 4.0 x8

The NVIDIA A2 Tensor Core GPU delivers entry-level AI inference acceleration in a compact, low-power form factor ideal for edge computing deployments. Built on the NVIDIA Ampere architecture with 1280 CUDA cores and 40 third-generation Tensor Cores, it provides 4.5 TFLOPS FP32 performance and up to 72 TOPS INT4 precision. The single-slot, low-profile design with passive cooling and configurable 40-60W TDP makes it perfect for space-constrained servers handling intelligent video analytics, machine learning inference, and virtual desktop infrastructure workloads.

NVIDIA Ampere Architecture: Built on 8nm process with 3rd-generation Tensor Cores supporting INT4, INT8, FP16, TF32, and FP32 precision formats
- Sparsity Acceleration: Doubles throughput for suitable AI models with up to 144 TOPS INT4 performance
- Multi-Precision Support: Hardware acceleration for TF32, BFLOAT16, and automatic mixed precision (AMP) for optimized AI training and inference
- 2nd Generation RT Cores: Hardware ray tracing acceleration with 10 RT cores for rendering and visualization workloads
- Advanced Media Engines: 1 video encoder and 2 video decoders including AV1 decode support for efficient video processing
- Passive Cooling Design: Fanless thermal solution reduces acoustic noise and mechanical failure points for 24/7 operation
- Low-Profile Form Factor: Single-slot, half-height/half-length design (HHHL) fits in compact servers and edge systems
- Configurable TDP: 40-60W power envelope adjustable for thermal or performance optimization
- PCIe 4.0 x8 Interface: High-bandwidth host connectivity with backward compatibility to PCIe 3.0
- Secure Boot Support: Trusted code authentication and firmware rollback protection against malicious attacks
- NVIDIA vGPU Ready: Support for virtual GPU software enabling multiple VMs to share a single physical GPU
- CUDA and Tensor Core APIs: Full support for CUDA Toolkit, TensorRT, cuDNN, and NVIDIA AI frameworks
- 16GB Large Memory: Sufficient capacity for complex AI models and large batch inference workloads
- 200 GB/s Memory Bandwidth: High-speed GDDR6 memory for data-intensive applications
- Headless Design: No display outputs optimized purely for compute workloads
- NEBS Level 3 Capable: Suitable for challenging ambient environments in telecommunications and edge deployments

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