Prihvaćamo kriptovalute — tako kriptovalute koje posjedujete mogu kupiti pravi hardver.Plaćajte kriptovalutom, trošite je na pravi hardver. Besplatna osigurana dostava diljem svijeta iznad 399 $. Obični vanjski kartoni bez oznaka, otpremaju se iz Njemačke.Besplatna osigurana dostava iznad 399 $. Vaš je tečaj blokiran 30 minuta od otvaranja blagajne.Tečaj blokiran 30 minuta. Svaki je artikl zapečaćen, njegov serijski broj provjeren, i pokriven jamstvom od 24 mjeseca.Zapečaćen, jamstvo 24 mjeseca.

Praćeni artikli Prijava
NVIDIA Tesla M40 graphics card, full-length dual-slot board with silver cooler and rear I/O bracket

NVIDIA

NVIDIA Tesla M40 900-2G600-0310-030 graphics card

SKU CH-9A7Y-XMF0N

Accelerates machine learning with 3072 CUDA cores and GDDR5 memory on a 384-bit bus via PCI Express 3.0 x16

  • Memory TypeGDDR5
  • 3072 CUDA cores accelerate machine-learning workloads
  • 1140 MHz boost clock delivers peak compute performance
  • 384-bit GDDR5 interface provides high memory bandwidth
  • PCI Express 3.0 x16 ensures fast host connectivity
  • 6 GHz GDDR5 memory clock supports large dataset throughput

Tesla M40 for Machine Learning Workloads

The NVIDIA Tesla M40 900-2G600-0310-030 is a compute-focused graphics card built for machine learning tasks. It provides 3072 CUDA cores and GDDR5 memory connected through a 384-bit bus. The card plugs into a PCI Express 3.0 x16 slot and targets users who need dedicated acceleration for training and inference.

Sustained Load Behaviour with GDDR5 Memory

Under continuous load the GPU runs at a boost clock near 1140MHz while the memory operates at 6GHz. The 384-bit interface keeps bandwidth stable during long matrix operations. This steady throughput matters more than short burst speeds for typical machine learning pipelines.

Installation Notes and Common Pitfalls

The board uses a standard PCIe 3.0 x16 connector and fits most server chassis that accept full-height cards. A frequent issue is forgetting the auxiliary power cables required for the 3072-core design. Verify that the power supply delivers the necessary connectors before seating the card.

Istaknuto

  • 3072 CUDA cores accelerate machine-learning workloads
  • 1140 MHz boost clock delivers peak compute performance
  • 384-bit GDDR5 interface provides high memory bandwidth
  • PCI Express 3.0 x16 ensures fast host connectivity
  • 6 GHz GDDR5 memory clock supports large dataset throughput

Specifikacije

Memory TypeGDDR5

Pitanja o ovom artiklu

How much heat and power does the NVIDIA Tesla M40 draw when running all day?

The card has a boost clock of ~1140MHz and 3072 CUDA cores, indicating sustained high compute load. Expect significant heat output requiring robust server-grade cooling and a power supply rated for high-wattage PCIe 3.0 x16 operation.

What existing hardware is required for the Tesla M40 to function?

You need a motherboard with a PCI Express 3.0 x16 slot, a power supply with sufficient wattage and PCIe power connectors, and a chassis with adequate airflow for a dual-slot passive design.

Will the Tesla M40 work alongside my older PCIe 2.0 or 1.1 cards?

Yes, the PCI Express 3.0 x16 interface is backward compatible with older PCIe generations. It will operate at the lower generation's speed when installed in a PCIe 2.0 or 1.1 slot.

Također u ovoj kategoriji

Kupci su usporedili ovo

Ista polica, ista blagajna — osam valuta i blokada tečaja na 30 minuta.