PNY NVIDIA RTX 4000 Ada Lovelace PCIe 4.0 x16 20 GB - VCNRTX4000ADA-PB
Układ graficzny: Ada Lovelace
BUS: PCIe 4.0 x16
Pojemność pamięci: 20 GB
Typ pamięci: GDDR6
Liczba procesorów strumieniowych: 6144
Liczba rdzeni tensorowych: 192
Wydajność teoretyczna FP32: 26.73 TFLOPS
Chłodzenie: Aktywny
Wszystkie u GPU architektury NVIDIA Ampere, NVIDIA Grace Hopper, NVIDIA Ada Lovelace i NVIDIA Blackwell podlegają NCNR (Non-Cancellable, Non-Returnable) wynoszącemu 52 tygodnie. Ponadto produkt podlega sankcjom dla niektórych krajów i konieczne jest udokumentowanie końcowego klienta.
| Kod towaru | 214.177672 |
|---|---|
| Part number | VCNRTX4000ADA-PB |
| Producent | PNY |
| Dostępność |
Na stanie 0 szt.
Opcje magazynowe i dostawy
Dostawa na terenie Polski Poniedziałek 3. 11. najpóźniej Wtorek 25. 11. Firma spedycyjna w Europie Wtorek 28. 10. najpóźniej Poniedziałek 3. 11. |
| Magazyn zewnętrzny | Na stanie 32 szt. |
| Gwarancja | 36 miesięcy |
| Cena zawiera wszystkie obowiązujące opłaty | |
Szczegółowe informacje
NVIDIA Server GPU
NVIDIA, a leading innovator in graphics technology, introduces a comprehensive range of professional-grade graphics cards designed to power both traditional servers and workstations. These cutting-edge server graphics cards cater to a wide spectrum of applications, ranging from immersive gaming experiences and high-speed rendering to demanding data center workloads. NVIDIA's professional graphics cards are renowned for their exceptional performance-to-power ratio, unwavering reliability, and unparalleled software support.
Floating point
Using the FLOPS unit, we can estimate the raw performance of graphics cards today. It indicates how many operations per second a graphics card can perform, allowing us to compare them against each other. However, these values can vary depending on the bit size of the floating-point (FP) representation. The larger the bit size, the more accurate the calculations, but also the fewer of them there are. Since gaming PCs need precise values for smooth operation, they mainly use 32-bit FP (or FP32). On the other hand, Deep Learning does not necessarily require such precise calculations, and therefore AI graphics cards use FP8. This drastically reduces the accuracy, but on the other hand increases the number of calculations.
Graphics memory
VRAM, these days primarily of GDDR type, is a synchronous memory, similar to standard RAM. However, in the case of graphic memory, memory chips with faster throughput and multiple data transfer rates are concerned. The result is a much faster buffering of data that the graphics card or coprocessor calculates and passes to the processor.
CUDA Technology
Users of professional applications can benefit from CUDA graphics stream processors thanks to CUDA architecture. Thanks to this, the raw power of the graphics card can be used for specific calculations, which can accelerate the work manifold compared to a classic processor, which is significantly limited by a lower amount of cores.
Active
The active type of cooling is widespread mainly due to the reliable method of lowering temperatures. It is cooling by air flow, most often consisting of one or more fans and its goal is to help create a vacuum inside the case thereby significantly improving the air flow that takes heat away from the graphics card out of the case. Active cooling of graphics cards is divided into axial cooling, common for traditional gaming graphics cards and radial cooling, which uses longitudinal airflow. This type of cooling is used, for example, by TURBO version of graphics cards.
PCI Express
PCI Express is an interface that usually takes the form of an expansion slot to ensure the modularity of the entire system, whether it is GPU, network cards, controllers, M.2 drives or other expansion cards. It is true that the newer the generation and wider the interface, the higher the performance and throughput. Most modern graphics cards use 16 lanes to connect with the processor. Currently, the most up-to-date generation is PCI Express generation 6.0 with a speed of 7.5 GB/s per lane.
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