Produkten är inte tillgänglig
Produkten har utgått från sortimentet eller är inte tillgänglig för tillfället.
Produkten har utgått från sortimentet eller är inte tillgänglig för tillfället.
Produktspecifikation
Välj en eller flera funktioner för att söka efter produkter med samma specifikationer.
Produktspecifikation
Beskrivning
På lager i butiker
Leverans
Prisutveckling
| Processor | |
| Processorfrekvens | 745 MHz |
| Grafikprocessor | Tesla K40 |
| CUDA |  |
| CUDA-kärnor | 2880 |
| Grafikprocessorfamilj | NVIDIA |
| Minne | |
| Grafikkortets minnestyp | GDDR5 |
| Bandbredd | 288 GHz |
| Minneskapacitet | 384 bit |
| Minne klockhastighet | 3000 MHz |
| Minneskapacitet, diskret grafikkort | 12 GB |
| Systemkrav | |
| Windows-operativsystem som stöds | Windows 7 Home Basic x64,Windows 7 Home Premium x64,Windows 7 Professional x64,Windows 7 Starter x64,Windows 7 Ultimate x64,Windows Vista Business x64,Windows Vista Enterprise x64,Windows Vista Home Basic x64 |
| Linux operativsystem som stöds | |
| Anslutningar | |
| Gränssnittstyp | PCI Express x16 |
| Vikt & dimension | |
| Höjd | 110 mm |
| Bredd | 265 mm |
| Strömtillförsel | |
| Strömförbrukning (vanlig) | 235 W |
| Certifierad med Energy Star | |
| Design | |
| Kylning typ | Aktiv |
| Grafiken | |
| Minneskapacitet, diskret grafikkort | 12 GB |
| Prestanda | |
| Inbyggd TV mottagare |  |
| PhysX | |
| EAN | 3536403343163 |
| Garanti | 3 år |
TESLA K40 GPU COMPUTING ACCELERATOR
Solve your most demanding High-Performance Computing (HPC) challenges with NVIDIA Tesla family of GPUs. They’re built on the NVIDIA Kepler™ compute architecture and powered by NVIDIA CUDA®, the world’s most pervasive parallel computing model.
This makes them ideal for delivering record acceleration and more efficient compute performance for big data applications in fields, including seismic processing; computational biology and chemistry; weather and climate modeling; image, video and signal processing; computational finance, computational physics; CAE and CFD; and data analytics
Tesla K40 GPU Accelerator
Equipped with 12 GB of memory, the Tesla K40 GPU accelerator is ideal for the most demanding HPC and big data problem sets. It outperforms CPUs by up to 10x 2 and includes a Tesla GPUBoost3 feature that enables power headroom to be converted into usercontrolled performance boost.
The innovative design of the Kepler compute architecture includes:
SMX (streaming multiprocessor)
Delivers up to 3x more performance per watt than the SM in last-generation NVIDIA Fermi GPUs.
Dynamic Parallelism
Enables GPU threads to automatically spawn new threads.
By adapting to the data without going back to the CPU, this greatly simplifies parallel programming.
Hyper-Q
Allows multiple CPU cores to simultaneously use the CUDA cores on a single Kepler GPU.
This dramatically increases GPU utilization and slashes CPU idle times.
Solve your most demanding High-Performance Computing (HPC) challenges with NVIDIA Tesla family of GPUs. They’re built on the NVIDIA Kepler™ compute architecture and powered by NVIDIA CUDA®, the world’s most pervasive parallel computing model.
This makes them ideal for delivering record acceleration and more efficient compute performance for big data applications in fields, including seismic processing; computational biology and chemistry; weather and climate modeling; image, video and signal processing; computational finance, computational physics; CAE and CFD; and data analytics
Tesla K40 GPU Accelerator
Equipped with 12 GB of memory, the Tesla K40 GPU accelerator is ideal for the most demanding HPC and big data problem sets. It outperforms CPUs by up to 10x 2 and includes a Tesla GPUBoost3 feature that enables power headroom to be converted into usercontrolled performance boost.
The innovative design of the Kepler compute architecture includes:
SMX (streaming multiprocessor)
Delivers up to 3x more performance per watt than the SM in last-generation NVIDIA Fermi GPUs.
Dynamic Parallelism
Enables GPU threads to automatically spawn new threads.
By adapting to the data without going back to the CPU, this greatly simplifies parallel programming.
Hyper-Q
Allows multiple CPU cores to simultaneously use the CUDA cores on a single Kepler GPU.
This dramatically increases GPU utilization and slashes CPU idle times.
Multitronic Vasa: 0 st
Beräknad leverans: Ingen leverans information
Beräknad leverans: Ingen leverans information
Idag: Stängt
Multitronic Jakobstad: 0 st
Beräknad leverans: Ingen leverans information
Beräknad leverans: Ingen leverans information
Idag: Stängt
Multitronic Jyväskylä: 0 st
Beräknad leverans: Ingen leverans information
Beräknad leverans: Ingen leverans information
Idag: Stängt
Multitronic Villmanstrand: 0 st
Beräknad leverans: Ingen leverans information
Beräknad leverans: Ingen leverans information
Idag: Stängt
Multitronic Mariehamn: 0 st
Beräknad leverans: Ingen leverans information
Beräknad leverans: Ingen leverans information
Idag: Stängt
De tekniska uppgifterna ovan är endast avsedda som referens och kan ändras. Vi förbehåller oss rätten att korrigera tryckfel och att använda illustrationer som vägledning. Viss text kan vara autogenererad eller maskinöversatt, vilket kan leda till felaktigheter.