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NVIDIA TESLA A2 Graphics 16GB Professional Computing Deep Learning AI Card

Description: Note: If you are not using a server motherboard, you will need to turn on the "above 4G decoding" option in BIOS setting before installing the GPU.NVIDIA A2 TENSOR CORE GPUEntry-level GPU that brings NVIDIA AI to any server.Versatile Entry-Level InferenceThe 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 PerformanceAI 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.Computer Vision(EfficientDet-DO)02X4X6X8X10X8X1XInference SpeedupNVIDIA A2CPUNatural Language Processing(BERT-Large)02X4X6X8X7X1XInference SpeedupNVIDIA A2CPUText-to-Speech(Tacotron2 + Waveglow)05X10X15X20X25X20X1XInference SpeedupNVIDIA A2CPUComparisons of one NVIDIA A2 Tensor Core GPU versus a dual-socket Xeon Gold 6330N CPUSystem Configuration: [CPU: HPE DL380 Gen10 Plus, 2S Xeon Gold 6330N @2.2GHz, 512GB DDR4] NLP: BERT-Large (Sequence length: 384, SQuAD: v1.1) | TensorRT 8.2, Precision: INT8, BS:1 (GPU) | OpenVINO 2021.4, Precision: INT8, BS:1 (CPU)Text-to-Speech: Tacotron2 + Waveglow end-to-end pipeline (input length: 128) | PyTorch 1.9, Precision: FP16, BS:1 (GPU) | PyTorch 1.9, Precision: FP32, BS:1 (CPU)Computer Vision: EfficientDet-D0 (COCO, 512x512) | TensorRT 8.2, Precision: INT8, BS:8 (GPU) | OpenVINO 2021.4, Precision: INT8, BS:8 (CPU)Higher IVA Performance for theIntelligent EdgeServers 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.Optimized for Any ServerNVIDIA A2 is optimized for inference workloads and deployments in entry-level servers constrained by space and thermal requirements, such as 5G edge and industrial environments. A2 delivers a low-profile form factor operating in a low-power envelope, from a TDP of 60W down to 40W, making it ideal for any server. Lower Power and Configurable TDPLeading AI Inference Performance Across Cloud, Data Center, and EdgeAI inference continues to drive breakthrough innovation across industries, including consumer internet, healthcare and life sciences, financial services, retail, manufacturing, and supercomputing. A2’s small form factor and low power combined with the NVIDIA A100 and A30 Tensor Core GPUs deliver a complete AI inference portfolio across cloud, data center, and edge. A2 and the NVIDIA AI inference portfolio ensure AI applications deploy with fewer servers and less power, resulting in faster insights with substantially lower costs. Ready for Enterprise UtilizationNVIDIA AI EnterpriseNVIDIA 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.Learn more about NVIDIA AI Enterprise ›Mainstream NVIDIA-Certified SystemsNVIDIA-Certified Systems™ with NVIDIA A2 bring together compute acceleration and high-speed, secure NVIDIA networking in enterprise data center servers, built and sold by NVIDIA’s OEM partners. This program lets customers identify, acquire, and deploy systems for traditional and diverse modern AI applications from the NVIDIA NGC™ catalog on a single high-performance, cost-effective, and scalable infrastructure.Learn more about NVIDIA-Certified Systems ›Powered by the NVIDIA Ampere ArchitectureThe NVIDIA Ampere architecture is designed for the age of elastic computing, delivering the performance and acceleration needed to power modern enterprise applications. Explore the heart of the world’s highest-performing, elastic data centers.Learn more about NVIDIA Ampere architecture ›TECHNICAL SPECIFICATIONSPeak FP324.5 TFTF32 Tensor Core9 TF | 18 TF¹BFLOAT16 Tensor Core18 TF | 36 TF¹Peak FP16 Tensor Core18 TF | 36 TF¹Peak INT8 Tensor Core36 TOPS | 72 TOPS¹Peak INT4 Tensor Core72 TOPS | 144 TOPS¹RT Cores10Media engines1 video encoder2 video decoders (includes AV1 decode)GPU memory16GB GDDR6GPU memory bandwidth200GB/sInterconnectPCIe Gen4 x8Form factor1-slot, low-profile PCIeMax thermal design power (TDP)40–60W (configurable)Virtual GPU (vGPU) software support²NVIDIA Virtual PC (vPC), NVIDIA Virtual Applications (vApps), NVIDIA RTX Virtual Workstation (vWS), NVIDIA AI Enterprise, NVIDIA Virtual Compute Server (vCS)1 With sparsity2 Supported in future vGPU release You may also likeColorful iGame GeForce RTX 4090 D 24GB Neptune Graphics card3080.0 USDFree shippingNVIDIA GA100 80 GB HBM2e PCIe GPU 6912 Cores 432 TMUS 5120 bit Deeplearning AI28000.0 USDFree shippingNvidia Tesla P40 GPU 24GB GDDR5 PCIE Accelerator Card with Cooling Fan400.0 USDFree shippingNVIDIA Tesla A40 48GB Deep Learning GPU Computing Graphics 900-2G133-0100-0307788.0 USDFree shippingASUS TX GAMING GeForce RTX4070-O12G GPU GDDR6X Graphics card945.0 USDFree shippingMSI GeForce RTX 4090 SUPRIM X Liquid 24GB GDDR6X GPU NVIDIA 384-bIt 16-Pin3499.99 USDFree shippingOriginal V100 32GB GPU Computing Accelarator CUDA HBM2 PCIE Graphics Card3850.0 USDFree shippingNvidia Tesla P4 8GB GPU PCIE graphics both brackets GDDR5 900-2G414-6300-000114.0 USDFree shippingNVIDIA Quadro K6000 12GB Single Fan GDDR5 Video Graphics Card GPU 6pin+6pin 225W195.0 USDFree shippingASUS NVIDIA CMP 40HX 8GB GDD6R GPU Graphics Card For 400KH / W 185W TU106-100169.0 USDFree shippingColorful iGame GeForce RTX 4090 D Vulcan W 24GB 384bit 16pin 425W3199.0 USDFree shippingASUS NVIDIA GeForce RTX 3090 24G Turbo GPU Graphics Card Server disassembly1499.0 USDFree shippingNvidia Tesla A100 40GB HBM2e Ampere Accelarator Graphics Card Deeplearning AI12450.0 USDFree shippingMSI NVIDA GeForce RTX 3090Ti GAMING X TRIO Graphics Card GPU 24G GDDR6X1599.0 USDFree shippingColorful iGame GeForce RTX 4070 Ti SUPER Ultra W OC 16GB DLSS3 Gaming Optical1499.0 USDFree shippingNVIDIA GeForce RTX 4090 Founders Edition 24GB GPU Graphics card3405.6 USDFree shippingNVIDIA Quadro GV100 32GB HBM2 PCIe GPU Rendering Card CUDA Tensor AI3900.0 USDFree shippingMSI GeForce GT 730 2GB DDR3 NVIDIA PCI Express 2.0 HDMI DVI VGA 1080p HD79.99 USDFree shipping

Price: 835 USD

Location: ShenZhen

End Time: 2024-12-03T05:15:29.000Z

Shipping Cost: 0 USD

Product Images

NVIDIA TESLA A2 Graphics 16GB Professional Computing Deep Learning AI CardNVIDIA TESLA A2 Graphics 16GB Professional Computing Deep Learning AI CardNVIDIA TESLA A2 Graphics 16GB Professional Computing Deep Learning AI CardNVIDIA TESLA A2 Graphics 16GB Professional Computing Deep Learning AI Card

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money back or replacement (buyer's choice)

Brand: NVIDIA

Chipset Manufacturer: NVIDIA

Chipset/GPU Model: A2

Compatible Slot: PCI Express 4.0 x8

Memory Size: 16 GB

Memory Type: DDR6

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