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TESLA M-CLASS

GPU CoMPUTinG ModULES

FASTEST PArALLEL ProCESSorS

For ACCELErATinG SCiEnCE

NVIDIA TESLA | DATASHEET | MAY 11

MoLEcuLAr DYNAMIcS

oIL & gAS

Based n the cuDA ahitete denamed Femi, the Tesla

M-lass gPu cmptin Mdles ae the wlds astest paallel

mptin pesss hih pemane mptin (HPc). Tesla

gPus hih pemane makes them ideal seismi pessin,

bihemisty simlatins, weathe and limate mdelin, sinal

pessin, mptatinal nane, cAE, cFD, and data analystis.

The Tesla 20-seies gPu cmptin

Pesss ae the st t delive eate

than 10X the dble peisin hsepwe

a qad-e x86 cPu and the st gPus

t delive Ecc memy. Based n the

Femi ahitete, these gPus eate

p t 665 iafps dble peisin

pemane, 1 teafps sinle

peisin pemane, Ecc memy

e ptetin, and L1 and L2 ahes.

The Tesla M-lass gPu mdles ae

inteated int gPu-cPu seves m

oEMs. This ives data ente IT sta

mh eate hie in hw they deply

gPus, with a wide vaiety ak-

mnt and blade systems and with

emte mnitin and manaement

apabilities enablin lae data

ente, sale-t deplyments.

TEcHNIcAL SPEcIFIcATIoNS

* Nte: With Ecc n, 12.5% the gPu mem y is sed Ecc bi ts. S,

example, 3 gB ttal memy yields 2.625 gB se availab le memy

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

515 Gigaflops

1030 Gigaflops

448

6 GigaBytes

150 GBytes/sec

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Featues Beefts

HuNDrEDS oF cuDA corES Delives p t 665 giafps dble-peisin peakpemane in eah gPu, enablin seves m leadinoEMs t delive me than a teafp dble-peisinpemane pe 1 ru spae. Sinle peisin peakpemane is ve ne Teafp pe gPu.

Ecc MEMorY Error ProTEcTIoN Meets a itial eqiement mptin aay andeliability in dataentes and spemptin entes.Intenal eiste les, L1/L2 ahes, shaed memy, andextenal DrAM all ae Ecc pteted.

uP To 6gB oF gDDr5 MEMorYPEr gPu

Maximizes pemane and edes data tanses bykeepin lae data sets in lal memy that is attaheddietly t the gPu.

SYSTEM MoNITorINg FEATurES Inteates the gPu sbsystem with the hst systemsmnitin and manaement apabilities sh as IPMI oEM-ppietay tls. IT sta an ths manae the gPupesss in the mptin system sin widely sedlste/id manaement sltins.

L1 AND L2 cAcHES AS PArT oF THENVIDIA PArALLEL DATAcAcHE

Aeleates alithms sh as physis slves, ay-tain,and spase matix mltipliatin whee data addesses ae

nt knwn beehand.

NVIDIA gIgATHrEAD ENgINE Maximizes the thhpt by aste ntext swithin thatis 10X aste than pevis ahitete, nent kenelexetin, and impved thead blk shedlin.

ASYNcHroNouS TrANSFEr WITHDuAL DMA ENgINES

Tbhaes system pemane by tansein datave the PcIe bs while the mptin es ae nhinthe data.

FLEXIBLE ProgrAMMINgENVIroNMENT WITH BroAD SuPPorToF ProgrAMMINg LANguAgESAND APIS

chse c, c++, opencL, Dietcmpte, Ftan t expessappliatin paallelism and take advantae the innvativeFemi ahitete.

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

2011 NVIDIA cpatin. All ihts eseved. NVIDIA, the NVIDIA l, NVIDIA Tesla, cuDA, giaThead, Paallel Datacahe, andPaallel NSiht ae tademaks and/ eisteed tademaks NVIDIA cpatin. All mpany and pdt names ae tademaks eisteed tademaks the espetive wnes with whih they ae assiated. Feates, piin, availability, and speiatins ae all

sbjet t hane witht ntie.

TESLA M-cLASS gPu coMPuTINg MoDuLE

SoFTWArE AND DrIVErS

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

> Tesla M-lass gPu mptin mdles ae sppted bth Linx andWindws 64-bit

Dives NVIDIA emmends that ses et dives M-seiespdts m thei System oEM t ense that dive is qalied by theoEM n thei system. Latest dives an be dwnladed mhttp://www.nvidia.com/drivers

Lean me abt Tesla data ente manaement 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