PNY NVIDIA A2 16GB Ampere AI Graphics Card
PNY NVIDIA A2 16GB Tensor Core AI Graphics Card, 2560 CUDA, PCI Express 4.0 x8, 4.5 TFLOPS SP, 18 TFLOPS HP
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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 40-60 watt (W) configurable thermal design power (TDP) capability, the A2 brings adaptable inference acceleration to any server.
A2's versatility, compact size, and low power exceed the demands for edge deployments at scale, instantly upgrading existing entry level CPU servers to handle inference. Servers accelerated with A2 GPUs deliver higher inference performance versus CPUs and more efficient intelligent video analytics (IVA) deployments than previous GPU generations—all at an entry-level price point.
NVIDIA-Certified Systems™ featuring A2 GPUs and NVIDIA AI, including the NVIDIA Triton™ Inference Server, deliver breakthrough inference performance across edge, data centre, and cloud. They ensure that AI-enabled applications deploy with fewer servers and less power, resulting in easier deployments, faster insights, and significantly lower costs.
Up to 20X More Inference Performance
AI inference is deployed to make consumer lives more convenient through real-time experiences, and enables them to gain insights on trillions of end-point sensors and cameras. Compared to CPU-only servers, the servers built with NVIDIA A2 Tensor Core GPU offer up to 20X more inference performance, instantly upgrading any server to handle modern AI.
Higher IVA Performance for Intelligent Edge
Servers equipped with A2 offer up to 1.3X more performance in intelligent edge use cases, including smart cities, manufacturing, and retail. NVIDIA A2 GPUs running IVA workloads result in more efficient deployments with up to 1.6X better price-performance and ten percent better energy efficiency than previous GPU generations.
Third-Generation Tensor Cores
The third-generation Tensor Cores in A2 support integer math, down to INT4, and floating point math, up to FP32, to deliver high AI training and inference performance. The NVIDIA Ampere architecture also supports TF32 and NVIDIA’s automatic mixed precision (AMP) capabilities.
Root of Trust Security
Providing security in edge deployments and end-points is critical for enterprise business operations. A2 offers secure boot through trusted code authentication and hardened rollback protections to protect against malicious malware attacks.
Second-Generation RT Cores
A2 includes dedicated RT Cores for ray tracing that enable ground breaking technologies at breakthrough speed. With up to 2X the throughput over the previous generation and the ability to concurrently run ray tracing with either shading or denoising capabilities.
Hardware Transcoding Performance
Exponential growth in video applications demand real-time scalable performance, requiring the latest in hardware encode and decode capabilities. A2 GPUs use dedicated hardware to fully accelerate video decoding and encoding for the most popular codecs, including H.265, H.264, VP9, and AV1 decode.
Complete Inference Portfolio
NVIDIA offers a complete portfolio of NVIDIA-Certified Systems featuring Ampere Tensor Core GPUs as the inference engine powering NVIDIA AI. A2 Tensor Core GPUs add entry-level inference in a low-profile form factor to the NVIDIA AI portfolio that already includes A100 and A30 Tensor Core GPUs.
A100 features the highest inference performance at every scale and A30 brings optimal inference performance for mainstream servers. NVIDIA A2, NVIDIA A30, and NVIDIA A100 Tensor Core GPUs deliver leading inference performance across edge, data centre, and cloud.
NVIDIA AI Enterprise
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.
• Memory size: 16 GB GDDR6.
• Memory bus width: 128-bit.
• Memory bandwidth: 200 GB/s.
• Cuda cores: 2560.
• Peak single precision floating point performance: 18 Tflops (GPU Boost Clocks).
• Peak half precision: 18 Tflops (GPU Boost Clocks).
• System interface: PCI Express 4.0 x8.
• Max power consumption: 40-60 W.
• Form factor: Single Slot, Low-Profile PCIe.
• Weight (w/o extender): 260g.
|Graphics Chipset||NVIDIA A2|
|Edition||NVIDIA A2 TENSOR CORE GPU|
|Manufacturing process||8 nm|
|Cores & Clocks|
|NVIDIA CUDA Cores||2560|
|Video Memory (VRAM)|
|Memory Size||16 GB|
|Memory Bit Rate||128 Bit|
|Memory Bandwidth||200 GB/s|
|I/O & Connectivity|
|Interface||PCIe 4.0 (x8)|
|Multi GPU Support|
|Total NVLink Bandwidth||N/A|
|Microsoft DirectX Support|
|Multi Monitor Support|
|H.264 1080p30 Streams||N/A|
|Maximum Digital Resolution|
|Maximum VGA Resolution|
|Supported Graphics APIs|
|Supported Compute APIs|
|Single Precision (FP32) Processing||Yes|
|Single Precision (FP32) Performance||4.5 teraFLOPS|
|Double Precision (FP64) Processing||No|
|Double Precision (FP64) Performance|
|Deep Learning (Tensor) Performance|
|NVIDIA Tensor Cores||18TF|
|Integer Operations (INT8)||36 TOPS (Tera-Operations per Second)|
|NVIDIA RT Cores||10|
|Power & Thermals|
|Graphics Card Power Connectors|
|Minimum Recommended PSU|
|Maximum GPU Temperature|
|Form Factor||Single Slot|
|Low Profile Compatible||Yes|
|Low Profile Support||Yes|
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- 36 months
- Return to base
- DOA Period:
- 28 days
- RTB Period:
- 24 months
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