Please wait...
The product was added to the shopping cart. View shopping cart here
Empty cart

AMD RADEON INSTINCT MI25 IN CTLR

Forsíðan Tilhoyr TV / Video Kort AMD RADEON INSTINCT MI25 IN CTLR
AMD RADEON INSTINCT MI25                                  IN CTLR (100-505959)

AMD RADEON INSTINCT MI25 IN CTLR

SKU:
100-505959
  • GPU Family AMD
  • GPU Radeon RX Vega 64
  • Interface PCI Express x16 3.0
  • Video Memory 16GB
  • Video Memory Type HBM2
  • Memory Bus 2048 bit
  • DVI 0
  • VGA 0
  • HDMI 0
  • Displayport 0
  • USB-C 0
  • Profile Dual Slot
  • Cooling Type Passive
54.528,-
43.622,40 mvg. ikki íroknað
Á goymslu Á fjargoymslu
Nøgd:
Lýsing

The Ultimate Solution for Your Computing Needs

Machine Intelligence and Deep Learning Neural Network Training
- High performance FP16 and FP32 compute
- Open software ROCm platform for HPC-class rack scale
- Optimized MIOpen deep learning framework libraries
- Large BAR support for mGPU peer to peer
- Superior compute density and performance per node when combining AMD EPYC™ server processor and Radeon Instinct™ accelerators

HPC Heterogeneous Compute
- Outstanding compute density and performance per node
- Open software ROCm platform for HPC class rack scale
- Open source Linux drivers, HCC compiler, tools and libraries from the metal forward
- Open industry standard support of multiple architectures and industry standard interconnect technologies

- Based on cutting-edge “VEGA” GRAPHICS ARCHITECTURE built to handle big data sets and diverse compute workloads
- 64 nCU COMPUTE UNITS to accelerate demanding workloads
- Up to 12.3 TFLOPS of peak FP32 compute performance to speed up compute intensive machine intelligence
- Up to 24.6 TFLOPS of FP16 peak compute performance for deep learning training applications
- State-of-the-art memory technology: 16GB of HBM2 MEMORY with ECC2 and HIGH BANDWIDTH CACHE CONTROLLER (HBCC)
- Passively cooled, full-height, dual-slot, 300W TDP board power – designed to fit in most standard server designs
- MxGPU for Virtualized Compute Workloads – drive greater utilization and capacity in the data center
- Advanced Remote Manageability Capabilities, for simplified GPU monitoring in large scale systems

Hóast vit gera okkara ítasta til tess at veita nøktandi kunning, so eru myndirnar bert vegleiðandi, og vøran sjálv er ikki endiliga 100% eins vorðin sum vísta myndin. Tól og annað kunnu verða víst við eykaútgerð, sum ikki hoyrir uppí, ella í øðrum skapi ella liti. Um so er, at munur er millum vørulýsingina og myndina, er tað vørulýsingin, ið geldur. Eru tygum í iva, setið tygum so í samband við okkum. Vit taka fyrivarni fyri prentvillum, prísbroytingum og vørulýsingum uttan fyrivarning.