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PNY A30 Nvidia 24 Gb High Bandwidth Memory 2 (Hbm2)
PNY A30 Nvidia 24 Gb High Bandwidth Memory 2 (Hbm2)
MPN TCSA30M-PB
Artikel-Nr. W128258213
Lagerbestand
NVIDIA A30 Tensor Core GPU is the most versatile mainstream compute GPU for AI inference and mainstream enterprise workloads. Powered by NVIDIA Ampere architecture Tensor Core technology, it supports a broad range of math precisions, providing a single accelerator to speed up every workload. Built for AI inference at scale, the same compute resource can rapidly re-train AI models with TF32, as well as accelerate high-performance computing (HPC) applications using FP64 Tensor Cores. Multi-Instanc...
Lesen Sie die vollständige BeschreibungSpezifikationen für TCSA30M-PB
Design
Anzahl der Steckplätze
2
Bügelhöhe
Full-Height (FH)
Formfaktor
Full-Height/Full-Length (FH/FL)
Kühltyp
Passive
Produktfarbe
Beige
Logistics data
Code des Harmonisierten Systems (HS)
84733020
Memory
Diskreter Grafikkartenspeicher
24 GB
Grafikkartenspeichertyp
High Bandwidth Memory 2 (HBM2)
Speicherbandbreite (max.)
933 GB/s
Speicherbus
3072 Bit
Package dimensions
Gross Weight (Package, kg)
1,17 kg
Performance
Dual-Link-DVI
No
TV-Tuner integriert
No
Ports & interfaces
Oberflächentyp
PCI Express x16 4.0
Power
Stromverbrauch (typisch)
165 Watt
Zusätzliche Stromanschlüsse
1x 8-pin
Processor
CUDA
Yes
CUDA-Kerne
3804
Familie von Grafikprozessoren
NVIDIA
FireStream
No
Grafikprozessor
A30
Unterstützung der Parallelverarbeitungstechnologie
Not supported
Product dimensions
Depth (product,cm)
26,77 cm
Height (product,cm)
11,12 cm
Net Weight (Product, kg)
0,9 kg
Vendor information
Brand Name
Warranty
1 Jahre)
Beschreibung
NVIDIA A30 Tensor Core GPU is the most versatile mainstream compute GPU for AI inference and mainstream enterprise workloads. Powered by NVIDIA Ampere architecture Tensor Core technology, it supports a broad range of math precisions, providing a single accelerator to speed up every workload. Built for AI inference at scale, the same compute resource can rapidly re-train AI models with TF32, as well as accelerate high-performance computing (HPC) applications using FP64 Tensor Cores. Multi-Instance GPU (MIG) and FP64 Tensor Cores combine with fast 933 gigabytes per second (GB/s) of memory bandwidth in a low 165W power envelope, all running on a PCIe card optimal for mainstream servers.
Dokumente
*Die oben genannten Produktdaten werden von Icecat zur Verfügung gestellt. EET ist nicht verantwortlich für eventuelle Fehler in diesem Zusammenhang.