NVIDIA AI Enterprise, an end-to-end cloud-native suite of AI and data analytics software, is certified to run on A2 in hypervisor-based virtual infrastructure with VMware vSphere. This enables management and scaling of AI and inference workloads in a hybrid cloud environment.
NVIDIA A2 - Passive PCIe -16GB ATX
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Rp72,240,000
- Price in reward points: 69100
- Brand:: NVIDIA
- Product Code: A2
- Reward Points: 1000
- Availability: In Stock
NVIDIA A2 - Passive PCIe -16GB ATX bracket installed, LP bracket included - Non-CEC
Versatile Entry-Level Inference
The NVIDIA A2 Tensor Core GPU provides entry-level inference with low power, a small footprint, and high performance for NVIDIA AI at the edge. Featuring a low-profile PCIe Gen4 card and a low 40-60W configurable thermal design power (TDP) capability, the A2 brings versatile inference acceleration to any server for deployment at scale.
Up to 20X More Inference Performance
AI inference is deployed to enhance consumer lives with smart, real-time experiences and to gain insights from trillions of end-point sensors and cameras. Compared to CPU-only servers, edge and entry-level servers with NVIDIA A2 Tensor Core GPUs offer up to 20X more inference performance, instantly upgrading any server to handle modern AI.
Higher IVA Performance for the
Intelligent Edge
Servers equipped with NVIDIA A2 GPUs offer up to 1.3X more performance in intelligent edge use cases, including smart cities, manufacturing, and retail. NVIDIA A2 GPUs running IVA workloads deliver more efficient deployments with up to 1.6X better price-performance and 10 percent better energy efficiency than previous GPU generations.
IVA Performance (Normalized)
System Configuration: [Supermicro SYS-1029GQ-TRT, 2S Xeon Gold 6240 @2.6GHz, 512GB DDR4, 1x NVIDIA A2 OR 1x NVIDIA T4] | Measured performance with Deepstream 5.1. Networks: ShuffleNet-v2 (224x224), MobileNet-v2 (224x224). | Pipeline represents end-to-end performance with video capture and decode, pre-processing, batching, inference, and post-processing.
Technical Specifications
1 With sparsity
2 Supported in future vGPU release






