CUDA Parallel Processing Cores

2688

Interface

320-bit

Frame Buffer Memory

6 GB GDDR5

Memory Bandwidth

250 GBytes/sec

Displau Connectors

None

Max. Power Consumption

225 W

Power Connectors

(2) x 6-pin PCI Express power connectors  

Graphics Bus

PCI Express 2.0 x16

Form Factor

110 mm (H) x 265 mm (L) - Dual Slot

Thermal Solution

Passive

Peak double precision floating point performance (board)

1.31 teraflops

Peak single precision floating pointperformance (board)

3.95 teraflops

Number of GPUs

1 x GK110

GPU computing applications

CFD, CAE, financial computing, computational chemistry and physics, data analytics, satellite imaging, weather modeling 

Architecture features

SMX, Dynamic Parallelism, Hyper-Q

System

Servers only

ECC Memory Error Protection

Meets a critical requirement for computing accuracy and reliability in datacenters and supercomputing centers. 
External and internal memories are ECC protected in Tesla K20X.

System Monitoring Features

Integrates the GPU subsystem with the host system’s monitoring and management capabilities such as IPMI or OEM-proprietary tools. IT staff can thus manage the GPU processors in the computing system using widely used cluster/grid management solutions.

L1 and L2 caches

Accelerates algorithms such as physics solvers, ray-tracing, and sparse matrix multiplication where data addresses are not known beforehand

Asynchronous Transfer with dual DMA engines

Turbocharges system performance by transferring data over the PCIe bus while the computing cores are crunching other data.

Flexible programming environment with
broad support of programming languages and APIs

Choose OpenACC, CUDA toolkits for C, C++, or Fortran to express application parallelism and take advantage of the innovative Kepler architecture.