Uhlolojikelele
I-SambaNova yinkampani yezingxenyekazi zekhompiyutha ze-AI kanye nesoftware enama-chips e-Dataflow Alungisekayo kanye nenkundla enezitaki ezigcwele ezakhelwe ukusebenzisa amamodeli amakhulu e-AI ngendlela efanele. Ibalulekile ngoba inikeza enye indlela kuma-GPU anesakhiwo esihlukile esilungiselelwe indlela amamodeli we-AI ahambisa ngayo idatha.
I-SambaNova Systems iqondwa kangcono kumongo wesu, ukufinyelela kwemodeli, izinqumo zeplathifomu, nobambiswano lwe-ecosystem.
I-Deep Dive
Yasungulwa ngo-2017 nguprofesa wase-Stanford u-Kunle Olukotun, u-Rodrigo Liang, no-Christopher Re, i-SambaNova izinze e-Palo Alto futhi yaba ngesinye seziqalo ze-chip ze-AI ezixhaswe kakhulu. Kunokuba ithengise ama-chips aluhlaza, ivame ukuletha i-AI njengohlelo olugcwele noma isevisi. Amaphrosesa ayo e-Reconfigurable Dataflow Unit (RDU) kanye ne-SN40L chip pair ahlanganisa nenani elikhulu lenkumbulo kangangokuthi amamodeli amakhulu alingana ngaphandle kokushova njalo kwedatha. I-SambaNova iphromotha idizayini 'yokugeleza kwedatha' ebonisa igrafu yekhompyutha yemodeli ye-AI ngokuqondile ku-hardware. Ngo-2024-2025 yancika ekucabangeni okusheshayo nge-SambaNova Cloud, ibamba amamodeli amakhulu avulekile futhi igcizelela amandla okushintsha ngokushesha phakathi kwamamodeli amaningi ku-hardware efanayo.
I-Technical Insight
Amaphrosesa amaningi alanda imiyalelo inqwaba eyodwa ngesikhathi. Isakhiwo sokugeleza kwedatha esikhundleni salokho kuveza ukulandelana kwemisebenzi yemodeli ye-AI njengepayipi futhi kusakazwa idatha kuyo, kunciphisa ukunyakaza okumoshayo ukuya nokubuya enkumbulweni. Ama-chips e-SambaNova ahlanganisa lokhu nesistimu yememori ehlanganisiwe, ehlanganisa inkumbulo ephezulu yomkhawulokudonsa kanye nenkumbulo enkulu, ngakho-ke amamodeli amakhulu kakhulu namamodeli amaningi ahlukene angabanjwa alungile futhi akhonzwe ngokusebenza kahle okuphezulu.
I-Mastering SambaNova Systems
I-SambaNova yinkampani yezingxenyekazi zekhompiyutha ze-AI kanye nesoftware enama-chips e-Dataflow Alungisekayo kanye nenkundla enezitaki ezigcwele ezakhelwe ukusebenzisa amamodeli amakhulu e-AI ngendlela efanele. Ibalulekile ngoba inikeza enye indlela kuma-GPU anesakhiwo esihlukile esilungiselelwe indlela amamodeli we-AI ahambisa ngayo idatha. I-SambaNova Systems iqondwa kangcono kumongo wesu, ukufinyelela kwemodeli, izinqumo zeplathifomu, nobambiswano lwe-ecosystem. Ukuze wakhe ukuqonda okujulile, phatha i-SambaNova Systems njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela oyifunayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-SambaNova Systems ahlola isu lomthengisi, ukwethembeka kwemephu yomgwaqo, kanye nobungozi bokukhiya ngaphambi kokuzibophezela. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo. Ngesikhathi esifanayo, izimemezelo Zokuqalisa zingase zidlule ukuzinza ekusebenzeni kwangempela kokukhiqiza. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo.
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imigomo yezohwebo nezinketho zokuthunyelwa zithinta izindleko zesikhathi eside nobungozi.
Imigomo yezohwebo nezinketho zokuthunyelwa zithinta izindleko zesikhathi eside nobungozi. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Izinxephezelo zenkampani zibumba okuzenzakalelayo kwemikhiqizo, ukuma kokuphepha, nokuvuleleka.
Izinxephezelo zenkampani zibumba okuzenzakalelayo kwemikhiqizo, ukuma kokuphepha, nokuvuleleka. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Ukusebenzisa amamodeli amakhulu avulekile amaningi kusistimu eyodwa nokushintsha phakathi kwawo ngokushesha ngemisebenzi ehlukene yebhizinisi
Ukuthumela i-AI yangasese emagcekeni amabhange nezikhungo zikahulumeni ezinezidingo eziqinile zokuphepha kwedatha
Inikeza amamodeli amakhulu avulekile afana ne-Llama ngesivinini esiphezulu nge-SambaNova Cloud
Inika amandla imithwalo yemisebenzi yesayensi neyezwe lonke edinga inkumbulo enkulu yamamodeli amakhulu
Amaphethini Okusebenzisa
I-SambaNova Systems isebenza
Ukusebenzisa amamodeli amakhulu avulekile amaningi kusistimu eyodwa nokushintsha phakathi kwawo ngokushesha ngemisebenzi ehlukene yebhizinisi.
Ukusebenzisa amamodeli amakhulu avulekile amaningi kusistimu eyodwa nokushintsha phakathi kwawo ngokushesha ukuze enze imisebenzi ehlukene yebhizinisi Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-SambaNova Systems isebenza
Ukuthumela i-AI yangasese emagcekeni amabhange nezikhungo zikahulumeni ezinezidingo eziqinile zokuphepha kwedatha.
Ukuthumela i-AI yangasese emagcekeni amabhange nama-ejensi kahulumeni anezidingo eziqinile zokuphepha kwedatha Amathimba ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka kwabantu yamacala abucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-SambaNova Systems isebenza
Inikeza amamodeli amakhulu avulekile afana ne-Llama ngesivinini esiphezulu nge-SambaNova Cloud.
Ukunikeza amamodeli amakhulu avulekile afana ne-Llama ngesivinini esikhulu ngokusebenzisa i-SambaNova Cloud Teams ngokuvamile kuthola imiphumela engcono lapho echaza ikhwalithi ephezulu ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-SambaNova Systems isebenza
Inika amandla imithwalo yemisebenzi yesayensi neyezwe lonke edinga inkumbulo enkulu yamamodeli amakhulu.
Ukunika amandla imithwalo yemisebenzi yesayensi neyelabhorethri kazwelonke edinga inkumbulo enkulu yamamodeli amakhulu Amathimba ngokuvamile athola imiphumela engcono lapho echaza izilinganiso zekhwalithi ngaphambili, egcina indlela yokukhuphuka yabantu yamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Izimemezelo zokwethula zingase zeqe ukuzinza ekugelezeni komsebenzi wangempela wokukhiqiza.
Izintengo ze-API noma izinguquko zenqubomgomo zingaphula ukucabanga ngobusuku obubodwa.
Ukuncika komthengisi oyedwa kukhulisa izindleko zokukhiya nokufuduka.
Ukuqalisa Umhlahlandlela
Linganisa abahlinzeki usebenzisa eyakho imisebenzi namasethi edatha.
Linganisa abahlinzeki usebenzisa eyakho imisebenzi namasethi edatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Buyekeza ubumfihlo, ukuphepha, nemibandela yomthetho ngaphambi kokuhlanganiswa.
Buyekeza ubumfihlo, ukuphepha, nemibandela yomthetho ngaphambi kokuhlanganiswa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Gcina uhlelo lokubuyela emuva kuwo wonke amamodeli noma abathengisi.
Gcina uhlelo lokubuyela emuva kuwo wonke amamodeli noma abathengisi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Gada amanothi okukhululwa ukuze izinguquko zemephu yomgwaqo zingamangazi amaqembu.
Gada amanothi okukhululwa ukuze izinguquko zemephu yomgwaqo zingamangazi amaqembu. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.