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Introducing the world’s fastest accelerators.
NVIDIA Tesla K-series GPU Accelerators are based on the NVIDIA Kepler
™
compute architecture and powered by CUDA
®
, the world’s
most pervasive parallel computing model. They include innovative technologies like Dynamic Parallelism and Hyper-Q to boost
performance as well as power efficiency and deliver record application speeds for seismic processing, biochemistry simulations,
weather and climate modeling, image, video and signal processing, computational finance, computational physics, CAE, CFD, and data
analytics.
performance as well as power efficiency and deliver record application speeds for seismic processing, biochemistry simulations,
weather and climate modeling, image, video and signal processing, computational finance, computational physics, CAE, CFD, and data
analytics.
Tesla
®
Kepler
™
GpU acceleraTors
NVIDIA TEslA K-sErIEs | DATAsHEET | OCT12
1
Based on DGEMM performance: Tesla M2090 = 410 gigaflops, Tesla K20 (expected) > 1000 gigaflops
2
Based on Ws-lsMs performance comparison between single E5-2687W @ 3.10GHz vs single Tesla K20X. Tesla K20X > 650 gigaflops
The innovative Kepler compute
architecture design includes:
SMX (streaming multiprocessor) design
SMX (streaming multiprocessor) design
that delivers up to 3x more performance
per watt compared to the sM in
Fermi
1
. It also delivers one petaflop of
computing in just ten server racks.
Dynamic Parallelism capability that
Dynamic Parallelism capability that
enables GPU threads to automatically
spawn new threads. By adapting to the
data without going back to the CPU, it
greatly simplifies parallel programming.
Plus it enables GPU acceleration of a
broader set of popular algorithms, like
adaptive mesh refinement (AMr), fast
multipole method (FMM), and multigrid
methods.
Hyper-Q feature that enables multiple
Hyper-Q feature that enables multiple
CPU cores to simultaneously utilize the
CUDA cores on a single Kepler GPU. This
dramatically increases GPU utilization,
slashes CPU idle times, and advances
programmability—ideal for cluster
applications that use MPI.
The Tesla K-series family of products includes:
Tesla K10 GPU Accelerator – Optimized for single
Tesla K10 GPU Accelerator – Optimized for single
precision applications, the Tesla K10 includes two
ultra-efficient GK104 Kepler GPUs to deliver high
throughput. It delivers up to 2x the performance
for single precision applications compared to the
previous generation Tesla M2090 GPU in the same
power envelope. With an aggregate performance of
4.58 teraflop peak single precision and 320 gigabytes
per second memory bandwidth for both GPUs put
together, the Tesla K10 is optimized for computations
in seismic, signal image processing, and video
analytics.
Tesla K20 and K20X GPU Accelerators – Designed
Tesla K20 and K20X GPU Accelerators – Designed
to be the performance leader in double precision
applications and the broader supercomputing market,
the Tesla K20 and K20X GPU Accelerators deliver 10x
the performance of a single CPU
2
. Tesla K20 and K20X
both feature a single GK110 Kepler GPU that includes
the Dynamic Parallelism and Hyper-Q features.
With more than one teraflop peak double precision
performance, these GPU accelerators are ideal for
the most aggressive high-performance computing
workloads including climate and weather modeling,
CFD, CAE, computational physics, biochemistry
simulations, and computational finance.