PNY TCSK10-PB Leaflet

PNY TESLA

®

 K10 Card 

TESLA K10 GPU COMPUTING ACCELERATOR

Optimized for single precision applications, the Tesla K10 is a throughput monster based on the ultra-efficient GK104 Kepler GPU.

The accelerator board features two GK104 GPUs and delivers up to 2x the performance for single precision applications compared to the 

previous generation Fermi-based Tesla M2090 in the same power envelope. With an aggregate performance of 4.58 teraflop peak single pre-

cision 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.

With teraflops of single and double precision performance, NVIDIA® Kepler GPU Computing Accelerators are the world’s fastest and most 

efficient high performance computing (HPC) companion processors. Based on the Kepler compute architecture, which is 3 times higher per-

formance per watt than the previous “Fermi” compute architecture, the Tesla Kepler GPU Computing Accelerators make hybrid computing 

dramatically easier, and applicable to a broader set of computing applications. NVIDIA Tesla GPUs deliver the best performance and power 

efficiency for seismic processing, biochemistry simulations, weather and climate modeling, image, video and signal processing, computational 

finance, computational physics, CAE, CFD, and data analytics. 

The innovative design of the Kepler compute architecture includes:

>> SMX (streaming multiprocessor) design that delivers up to 3x more performance per watt compared to the SM in Fermi. It also delivers 1 

petaflop of computing in just 10 server racks.

>> 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 and 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 CPU cores to simultaneously utilize the CUDA cores on a single Kepler GPU, dramatically increasing 

GPU utilization, slashing CPU idle times, and advancing programmability. Ideal for cluster applications that use MPI.

TESLA K10 - PRODUCT SPECIFICATIONS

CUDA PARALLEL PROCESSING CORES

3072 (2 x 1536)

PROCESSOR CORE CLOCK

745 MHz

PEAK DOUBLE PRECISION FLOATING POINT

PERFORMANCE (BOARD)

0.19 teraflops

PEAK SINGLE PRECISION FLOATING POINT

PERFORMANCE (BOARD)

4.58 teraflops

NUMBER OF GPUS

2 x GK104s

PROCESSOR CORE CLOCK

706 MHz

FRAME BUFFER MEMORY

8 GB

MEMORY BANDWIDTH

320 GBytes/sec

EXTERNAL CONNECTORS

None

INTERNAL CONNECTORS AND HEADERS

(1) 6-pin PCI Express power connector

(1) 8-pin PCI Express power connector

GRAPHICS BUS

PCI Express 2.0 x16

FORM FACTOR

110 mm (H) x 265 mm (L)

Dual Slot

BOARD POWER

225 W

THERMAL SOLUTION

Passive

Contact us

GPU COMPUTING ACCELERATOR

More information: www.pny.eu/tesla

PNY Technologies Europe

sales@pny.eu | T: +33 (0)5 56 13 75 75