What is the peak AI inference performance of the PNY NVIDIA A2?

Delivers 9 TFLOPS TF32, 18 TFLOPS FP16/BF16, 36 TOPS INT8, 72 TOPS INT4 base (double with sparsity) via 40 Gen3 Tensor Cores, achieving 8x NLP BERT speedup and 10x EfficientDet vision over CPU on HPE DL380 Gen10 Plus.

What form factor and power does this GPU use?

Low-profile single-slot PCIe (HHHL-SS) with passive cooling and configurable 40-60W TDP over PCIe Gen4 x8 interface, ideal for dense 1U/2U server deployments without auxiliary power connectors.

Does it support virtual GPU software?

Yes, compatible with NVIDIA vPC, vApps, RTX vWS, AI Enterprise, and vCS for multi-tenant VDI, remote workstations, and shared compute in cloud/enterprise environments.

What memory specifications are provided?

16 GB GDDR6 ECC at 6251 MHz on 128-bit bus yielding 200 GB/s bandwidth, with error correction for reliable AI inference and graphics workloads preventing bit errors in production.

Is it suitable for edge AI and video analytics?

Yes, low 40-60W TDP and AV1 decode (1 encoder, 2 decoders) accelerate IVA like object detection and NLP at edge, with 15x text-to-speech speedup on Tacotron2 + WaveGlow.

What PCIe compatibility does it offer?

PCIe Gen4 x8 native with fallback to Gen4 x4 or Gen3 x8, lane/polarity reversal supported, ensuring broad server compatibility including HPE ProLiant DL380 Gen10 Plus.

NVA2TCGPUNC-KIT - PNY NVA2TCGPUNC-KIT NVIDIA A2 16GB GDDR6 PCIe4x8 Datacenter GPU

Name: PNY NVA2TCGPUNC-KIT NVIDIA A2 16GB GDDR6 PCIe4x8 Datacenter GPU
Brand: PNY
SKU: NVA2TCGPUNC-KIT

NVA2TCGPUNC-KIT - PNY NVA2TCGPUNC-KIT NVIDIA A2 16GB GDDR6 PCIe4x8 Datacenter GPU | US IT Hardware

Product overview

The PNY NVA2TCGPUNC-KIT is an NVIDIA A2 Tensor Core GPU designed for entry-level data center acceleration, featuring NVIDIA Ampere architecture with 1280 CUDA cores, 40 third-generation Tensor Cores, and 10 second-generation RT Cores. It provides 16GB of GDDR6 ECC memory at 200 GB/s bandwidth, supporting peak performance of 4.5 TFLOPS FP32, 9 TFLOPS TF32 (18 with sparsity), 18 TFLOPS FP16/BFLOAT16 (36 with sparsity), 36 TOPS INT8 (72 with sparsity), and 72 TOPS INT4 (144 with sparsity). The low-profile, single-slot PCIe Gen4 x8 form factor with passive cooling and configurable 40-60W TDP enables deployment in standard servers for AI inference, intelligent video analytics (IVA), and edge computing. Media engines include 1 encoder and 2 decoders with AV1 decode support. Virtual GPU software compatibility covers NVIDIA Virtual PC (vPC), Virtual Applications (vApps), RTX Virtual Workstation (vWS), AI Enterprise, and Virtual Compute Server (vCS). Ideal for hyperscale inference, NLP tasks like BERT-Large (up to 8x CPU speedup), computer vision (EfficientDet-D0 10x speedup), and text-to-speech (Tacotron2 + WaveGlow 15x speedup). Compatible with PCIe Gen4 x8/x4 or Gen3 x8 slots, it offers NEBS readiness and low-latency acceleration for elastic data centers.

16GB GDDR6 ECC 200GB/s BW.
40 Gen3 Tensor Cores 144 TOPS INT4.
PCIe4 x8 low-profile 40-60W TDP.
Ampere arch 1280 CUDA 4.5 TFLOPS FP32.
AV1 decode for IVA acceleration.
vGPU: vWS, vApps, AI Enterprise.

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Purchase orders accepted from qualified institutions.
Refunds within 14 days and replacements within 30 days of delivery with an RMA (25% restocking fee on customer-initiated returns), and every part carries our Standard 30-Day Warranty - see our return policy or contact US IT Hardware.

Featuring

NEBS Readiness
Manufacturer part #	NVA2TCGPUNC-KIT
Brand	PNY
Condition	New
Model	NVIDIA A2 Tensor Core
RT Cores	10 Gen 2
CUDA Cores	1280
Product Line	NVIDIA Data Center GPUs
Product Type	Data Center Tensor Core GPU
Tensor Cores	40 Gen 3
vGPU Support	vPC, vApps, vWS, AI Enterprise, vCS
Media Engines	1 Encoder; 2 Decoders (AV1 Decode)

Compatible systems

Compatible with major 2U rack servers from HPE, Dell, Lenovo with PCIe Gen4 slots. Supports Linux distros and VMware with NVIDIA drivers.

HPE ProLiant
Model: DL380
Form factor: 2U Rack
Generation: Gen10 Plus
Tested with 2x Xeon Gold 6330N, 512GB DDR4
Dell PowerEdge
Model: R750
Form factor: 2U Rack
Generation: 15th Gen
PCIe Gen4 slot required for full performance
Lenovo ThinkSystem
Model: SR650
Form factor: 2U Rack
Generation: V2
XCC Enterprise firmware recommended

Best for

AI Inference
Entry-level deep learning inference for NLP models like BERT-Large on TensorRT with INT8 precision, delivering up to 8x speedup over CPU in HPE DL380 Gen10 Plus servers.
Intelligent Video Analytics
Real-time IVA workloads using EfficientDet-D0 object detection with 10x CPU speedup, leveraging AV1 decode and Tensor Cores for edge security cameras and surveillance systems.
Edge Computing

Details

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GPU Architecture	NVIDIA Ampere

GPU Memory	16 GB GDDR6 ECC

Processor

Peak FP32	4.5 TFLOPS
Memory Clock	6251 MHz
GPU Base Clock	1440 MHz
GPU Boost Clock	1770 MHz
Memory Bus Width	128-bit
Peak FP16 Tensor Core	18 TFLOPS \| 36 TFLOPS w/ Sparsity
Peak INT4 Tensor Core	72 TOPS \| 144 TOPS w/ Sparsity
Peak INT8 Tensor Core	36 TOPS \| 72 TOPS w/ Sparsity
Peak TF32 Tensor Core	9 TFLOPS \| 18 TFLOPS w/ Sparsity

PNY NVA2TCGPUNC-KIT NVIDIA A2 16GB GDDR6 PCIe4x8 Datacenter GPU

Product overview

Featuring

Compatible systems

Best for

Details

Shipping, warranty & returns

Customer reviews

Storage

Processor

Network & Communication

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