NEMIX RAM DDR5-5600 2TB (16x128GB) ECC RDIMM CL46 1.1V Supermicro H14SST-G memory upgrade
- 2TB (16 x 128GB)
- 288-Pin DDR5 RDIMM
Me võtame vastu krüptoraha — nii saab teie hoitav krüptoraha osta päris riistvara.Makske krüptorahaga, kulutage seda päris riistvarale. Tasuta kindlustatud tarne kogu maailmas, üle 399 $. Lihtsad, kaubamärgita väliskarbid, saadetud Saksamaalt.Tasuta kindlustatud tarne üle 399 $. Teie kurss lukustatakse 30 minutiks kohe, kui kassa avaneb.Kurss lukustatud 30 minutiks. Iga toode on pitseeritud, selle seerianumber on kontrollitud ja sellel kehtib 24-kuuline garantii.Pitseeritud, 24-kuulise garantiiga.
NVIDIA
Dual-slot PCIe 3.0 x16 accelerator with 3584 CUDA cores, 16 GB HBM2 memory and 250 W passive cooling for FP64, FP32 and FP16 compute workloads
The NVIDIA Tesla P100 is a PCI Express 3.0 x16 add-in card built around a Pascal GP100 GPU with 3584 CUDA cores. It delivers 16 GB of HBM2 memory on a 4096-bit interface and targets double-precision, single-precision and half-precision tasks in datacentre and workstation environments.
The full-height card occupies a 10.5 inch dual-slot footprint and uses a fanless heatsink that depends on system-level air movement to stay within its 250 W thermal limit. No onboard fan means silent operation, but the host enclosure must supply sufficient directed airflow across the cooler.
NVIDIA GPU Boost dynamically adjusts clocks to maximise throughput inside the power envelope while CUDA and DirectCompute APIs provide broad software compatibility. Unified virtual memory with page migration engine lets applications treat GPU and system memory as a single address space, reducing data-copy overhead.
| Brand | NVIDIA |
|---|---|
| Model | Tesla P100 |
| Interface | PCI Express 3.0 x16 |
| Chipset Manufacturer | NVIDIA |
| CUDA Cores | 3584 |
| Memory Size | 16GB |
| Cooler | Fanless |
| Form Factor | Plug-in CardFull-height |
Yes, it is a full-height, dual-slot plug-in card measuring 10.5 inches and uses a PCI Express 3.0 x16 interface.
The board draws up to 250 W and uses a passive heat sink, so the chassis must deliver strong, directed airflow across the card.
It supports CUDA and DirectCompute with FP64, FP32 and FP16 precision, delivering 4.7 TFLOPS double-precision and 9.3 TFLOPS single-precision peak performance.
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