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TESLA™ M-CLASS

GPU CoMPUTinG ModULES

ACCELErATinG SCiEnCE

NVIDIA TESLA | DATASHEET | AUG 11

MoLEcULAr DyNAMIcS

oIL & GAS

Based n the cUDA™ ahitetue denamed “Femi,” the Tesla™ 

M-lass GPU cmputing Mdules ae the wld’s astest paallel

mputing pesss high pemane mputing (HPc). Tesla

GPU’s high pemane makes them ideal seismi pessing,

bihemist simulatins, weathe and limate mdeling, signal

pessing, mputatinal nane, cAE, cFDand data analtis.

Aeleate u siene with NVIDIA®

Tesla™ 20-seies GPUs. A mpanin

pess t the cPU in the seve, Tesla

GPUs speed up HPc appliatins b 10x.

Based n the Femi ahitetue, these

GPUs eatue up t 665 gigafps duble

peisin pemane, 1 teafp single

peisin pemane, Ecc mem

e ptetin, and L1 and L2 ahes.

The Tesla M-lass GPU mdules ae

integated int GPU-cPU seves

m oEMs. This gives data ente IT

sta muh geate hie in hw the

depl GPUs, with a wide vaiet

akmunt and blade sstems and with

emte mniting and management

apabilities – enabling lage data

ente, sale-ut deplments.

TEcHNIcAL SPEcIFIcATIoNS

* Nte: With Ecc n, 12.5% the GPU mem is used Ecc bi ts. S,

example, 3 GB ttal mem ields 2.625 GB use availab le mem

with Ecc n.

Tesla M2090

665 Gigaflops

1331 Gigaflops

512

6 GigaBytes

177 GBytes/sec

Tesla M2050

515 Gigaflops

1030 Gigaflops

448

3 GigaBytes

148 GBytes/sec

Peak double precision floatingpoint performance

Peak single precision floatingpoint performance

CUDA cores

Memory size (GDDR5)

Memory bandwidth (ECC off)

Tesla M2070 / M2075

515 Gigaflops

1030 Gigaflops

448

6 GigaBytes

150 GBytes/sec

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Featues Beefts

HUNDrEDS oF cUDA corES Delives up t 665 Gigafps duble-peisin peakpemane in eah GPU, enabling seves m leadingoEMs t delive me than a teafp duble-peisinpemane pe 1 rU spae. Single peisin peakpemane is ve ne Teafp pe GPU.

Ecc MEMory Error ProTEcTIoN Meets a itial equiement mputing aua andeliabilit in dataentes and supemputing entes.Intenal egiste les, L1/L2 ahes, shaed mem, andextenal DrAM all ae Ecc pteted.

UP To 6GB oF GDDr5 MEMoryPEr GPU

Maximizes pemane and edues data tanses bkeeping lage data sets in lal mem that is attaheddietl t the GPU.

SySTEM MoNITorING FEATUrES Integates the GPU subsstem with the hst sstem’smniting and management apabilities suh as IPMI oEM-ppieta tls. IT sta an thus manage the GPUpesss in the mputing sstem using widel usedluste/gid management slutins.

L1 AND L2 cAcHES AS PArT oF THENVIDIA PArALLEL DATAcAcHE™

Aeleates algithms suh as phsis slves, a-taing,and spase matix multipliatin whee data addesses ae

nt knwn beehand.

NVIDIA GIGATHrEAD™ ENGINE Maximizes the thughput b aste ntext swithing thatis 10X aste than pevius ahitetue, nuent kenelexeutin, and impved thead blk sheduling.

ASyNcHroNoUS TrANSFEr WITHDUAL DMA ENGINES

Tubhages sstem pemane b tanseing datave the PcIe bus while the mputing es ae unhingthe data.

FLEXIBLE ProGrAMMINGENVIroNMENT WITH BroAD SUPPorToF ProGrAMMING LANGUAGESAND APIS

chse c, c++, opencL, Dietcmpute, Ftan t expessappliatin paallelism and take advantage the innvative“Femi” ahitetue.

T lean me abut NVIDIA Tesla, g t www.nvidia.com/tesla

© 2011 NVIDIA cpatin. All ights eseved. NVIDIA, the NVIDIA lg, NVIDIA Tesla, cUDA, GigaThead, Paallel Datacahe, andPaallel NSight ae tademaks and/ egisteed tademaks NVIDIA cpatin. All mpan and pdut names ae tademaks egisteed tademaks the espetive wnes with whih the ae assiated. Featues, piing, availabilit, and speiatins ae all

subjet t hange withut ntie.

TESLA M-cLASS GPU coMPUTING MoDULE

SoFTWArE AND DrIVErS

 > Stwae appliatins page:http://www.nvidia.com/object/vertical_solutions.html

> Tesla M-lass GPU mputing mdules ae suppted bth Linux andWindws 64-bit

 – Dives – NVIDIA emmends that uses get dives M-seiespduts m thei Sstem oEM t ensue that dive is qualied b theoEM n thei sstem. Latest dives an be dwnladed mhttp://www.nvidia.com/drivers

 – Lean me abut Tesla data ente management tls athttp://www.nvidia.com/object/software-for-tesla-products.html

 > Stwae develpment tls ae available at

http://www.nvidia.com/object/tesla_software.html