Poster sale · Free shipping over $80 · Red tag edit

nvidia ampere tesla a2 pcie graphics 16g computing card deep learning ai 1.8TB The Seagate ST9146852SS is a

SKU 310404782
4.2
USD1024.00 USD1073.00

Pay in 4 interest-free payments of $256.00 Learn more

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 4 - Aug 9

Description

The Seagate ST9146852SS is a genuine Savvio 15K

The TRC-120S315ST is a 120W waterproof constant-current LED driver with IP67-rated enclosure for outdoor and industrial LED lighting applications

delivering 4GB of dual-rank DDR2 ECC unbuffered memory in a JEDEC-standard 240-pin DIMM format for IBM System x3200 M2 server deployments

Compatible With: IBM System x3250 M4

Fuente de alimentación ATX KDM-MFX9350 de 350 W Fuente de alimentación conmutable de 115 V/230 V (compatible internacional) Compatible con ATX 12 V 100 % compatible con los siguientes modelos: DPS-150TB A 614352-001 La fuente de alimentación KDM-MFX9350 se conoce principalmente como fuente de alimentación de repuesto ¡KDM se especializó en la fabricación y distribución de fuentes de alimentación de calidad ODM/OEM a precios asequibles

nvidia ampere tesla a2 pcie graphics 16g computing card deep learning ai 1.8TB The Seagate ST9146852SS is aThe Nvidia Ampere Tesla A2 PCIe Graphics 16G Computing Card is engineered to meet the rigorous demands of modern deep learning and artificial intelligence applications. Built on the advanced Ampere architecture, this graphics card delivers exceptional computational power and energy efficiency, making it an ideal solution for data centers and enterprise environments requiring reliable AI acceleration. With 16GB of high speed memory, the Tesla A2

Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy

You may also like

recommand products