Home Featured articles Try NVIDIA Tesla K80

Sunday26 February 2017

NVIDIA PREFERRED PARTNER

tesla preferred partner

quadro partner

Tesla GPU HPC Clusters

Nvidia-Tesla

Accelerate your science with NVIDIA Tesla GPU HPC Clusters. Read more ... 

Quadro Workstations

Nvidia-QuadroCreate without the wait with World's fastest BIM-ready M-series Workstations

Virtual 3D Workstations

Nvidia-GRID2Put your engineering workstations into the Cloud with NovaSTACK

Try NVIDIA Tesla K80

k80

Experience 10x faster application performance
Accelerate your most demanding single and double precision workloads in scientific computing and data analytics applications by upgrading to the NVIDIA Tesla K80 dual-GPU accelerator. It delivers up to 10x faster performance than CPUs on real-world applications.

acceleration-tesla-gpus

 

280+ GPU Accelerated Applications

MOLECULAR DYNAMICS


AMBER

CHARMM
GROMACS
LAMMPS
NAMD

QUANTUM CHEMISTRY

GAMESS

QMC PACK
TeraChem


DATA ANALYTICS


Caffe

Theano
MapD


MATH/PHYSICS


Chroma

MATLAB
MILC


 

FLUID DYNAMICS


ANSYS Fluent
OpenFOAM


DEFENSE


Intuvision Panoptes 3.0
Intergraph Motion Video Analyst

VISUALIZATION & DOCKING

BINDSURF
VMD
FastROCS

ELECTRONIC DESIGN AUTOMATION

Agilent EMPro

CST Microwave Studio
Remcom XFdtd

STRUCTURAL MECHANICS

ANSYS Mechanical

Abaqus/Standard


To see the complete list of GPU-accelerated applications, visit www.nvidia.com/teslaapps


Try NVIDIA TESLA K80 GPU Today

Sign up Here

 


NVIDIA TESLA K80 Features

> Up to 2.91 Teraflops of double precision performance with NVIDIA GPU Boost

> Up to 8.74 Terfalops of single precision performance with NVIDIA GPU Boost

> 24 GB of GDDR5 memory (12 GB per GPU)

> 480 GB/sec memory bandwidth per board

> 2x application throughput with the two onboard GPUs

As the latest addition to the Tesla Accelerated Computing Platform, the Tesla K80 leverages a rich software, hardware, and support eco-system to accelerate your most demanding workloads.

 

Dynamic GPU Boost
Dynamically scales clocks, based on characteristics of the workload, for maximum application performance. This ensures that each application runs at the highest clocks while remaining within the power and thermal envelope.

k80 boost

 

Zero-power Idle
Increase energy efficiency by powering down idle GPUs when running legacy non-accelerated workloads.

k80 power

 

JA Minisite

2857.orig.q75.o0 - Copy IntelTPP amd  tesla preferred partner  quadro partner  qctlogo e   Mellanox APAC Partner   1