PNY A2 - A2 - 16 GB - GDDR6 - 128 bit - PCI Express x8 4.0

Product number: TCSA2MATX-PB

2560 CUDA Cores

Estimated delivery time 2 - 5 working days
Main features
Produktbeschreibung NVIDIA A2 - GPU-Rechenprozessor - A2 - 16 GB
Type Graphics card
Gerätetyp GPU-Rechenprozessor - Low-Profile
Bus type PCI Express 4.0 x8
Grafik-Engine NVIDIA A2
Speicher 16 GB GDDR6
CUDA-Kerne 2560
Speicherschnittstelle 128-bit
Ohne Lüfter Ja
Gerätetyp GPU-Rechenprozessor - Low-Profile - ohne Lüfter
Bus type PCI
Grafik-Engine NVIDIA A2
CUDA-Kerne 2560
Besonderheiten NVIDIA Ampere GPU-Technologie, 2nd gen Ray Tracing Cores, 3rd gen Tensor Cores, 10 NVIDIA RT Cores, 4,5 TFLOPS max. Leistung mit einfacher Genauigkeit (FP32), 18 TeraFLOPS halbgenaue Präzision (FP16), 36 TOPs INT8 Precision Performance, 72 TOPs INT4 Preci
Grösse 16 GB
Technologie GDDR6 SDRAM
Bus width 128 Bit
Bandbreite 200 GBps
Leistungsaufnahme im Betrieb 60 Watt
Zubehör im Lieferumfang ATX-Befestigung
Software inbegriffen NVIDIA Virtual Compute Server, NVIDIA RTX Virtual Workstation, NVIDIA Virtual PC, NVIDIA Virtual Applications, NVIDIA AI Enterprise
Weight 260 g
eClass-10.1-ID 19050490
eClass-11.1-ID 19050490
eClass-6.2-ID 19050490
eClass-7.1-ID 19050490
eClass-8.1-ID 19050490
eClass-9.1-ID 19050490
eClass-ID 19030309
UNSPSC 20.0601 Code 43201401
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 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.
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