PNY NVIDIA A2 Datacenter Graphics Card 16GB GDDR6
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MFN: NVA2TCGPUNC-KIT
Affordable AI GPU that brings NVIDIA AI to any server or datacenter.
See the full specifications and datasheet here
The A2 Tensor Core GPU from PNY and NVIDIA 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 entrylevel
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 center, 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.
Technical Specifications
Specification | Details |
---|---|
PNY Part Number | NVA2TCGPU-KIT |
Peak FP32 | 4.5 TF |
TF32 Tensor Core | 9 TF | 18 TF1 |
BFLOAT16 Tensor Core | 18 TF | 36 TF1 |
Peak FP16 Tensor Core | 18 TF | 36 TF1 |
Peak INT8 Tensor Core | 36 TOPS | 72 TOPS1 |
Peak INT4 Tensor Core | 72 TOPS | 144 TOPS1 |
RT Cores | 10 |
Media engines | 1 video encoder 2 video decoders (includes AV1 decode) |
GPU memory | 16GB GDDR6 |
GPU memory bandwidth | 200GB/s |
Interconnect | PCIe Gen4 x8 |
Form factor | 1-slot, Low-Profile PCIe |
Max thermal design power (TDP) | 40-60W (Configurable) |
vGPU software support2 | NVIDIA Virtual PC (vPC), NVIDIA Virtual Applications (vApps), NVIDIA RTX Virtual Workstation (vWS), NVIDIA AI Enterprise, NVIDIA Virtual Compute Server (vCS) |
1 With sparsity
2 Supported in future vGPU release
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