InoteveraGaidhi rinotevera
Prediction Logging uye Inference Data Capture
Tekinoroji
Nhungamiro yehunyanzvi
Triton Inference Server
Triton Inference Server ndiyo NVIDIA's yakavhurika-sosi chikuva chekuendesa uye kushandira AI modhi mukugadzira pamwero.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Izvo zvine basa nekuti inomisa kuti mangani mamodheru - pane akasiyana masisitimu - anogarwa, akabatiswa, uye anowanikwa kuseri kweimwe inoshanda API.
Kudzika Kwakadzika
Triton inogara pakati pemhando dzako dzakadzidziswa uye maapplication anodzidaidza. Inotakura modhi kubva ku'modhi repository' uye inoashandira pamusoro peHTTP/REST uye gRPC. Chimiro chayo chekumira chiri chimiro-agnostic: imwechete Triton muenzaniso inogona panguva imwe chete kushandira PyTorch, TensorFlow, ONNX, TensorRT, uye kunyange Python kana tsika backends. Makiyi ekugona anosanganisira dynamic batching, iyo inongoerekana yaunganidza zvikumbiro zvinouya zvinosvika pedyo nenguva yekushandisa GPU zvakanyanya; panguva imwe chete modhi kuuraya, kumhanya akawanda modhi kana akawanda makopi pane imwe GPU; uye modhi ensembles/business-logic scripting, iyo inosunga preprocessing, inference, uye postprocessing mune imwe server-padivi pombi. Inofumura Prometheus metrics, inotsigira modhi shanduro, uye zviyero muKubernetes.
Kuitwa muNyika yeChokwadi
Kugashira modhi yekuona hutsotsi, modhi yekurudziro, uye yemhando yemhando pane imwe yakagovaniswa GPU server uchishandisa imwe cheteyo modhi kuuraya.
Kushandisa dynamic batching kushandira yakakwirira-traffic image-recognition API kuitira kuti zvikumbiro zvakapararira zvinoiswa mumapoka kuti ishande GPU inference.
Kuvaka sevha-padivi ensemble inomhanyisa preprocessing yemufananidzo, TensorRT detector, uye kunyora postprocessing mune imwechete Triton pombi.
Kutumira LLM ine TensorRT-LLM backend muTriton kufambisa mhinduro dzechatbot kuzviuru zvevashandisi panguva imwe chete.
Ramangwana reTriton Inference Server
Triton iri kuchinjika yakananga kuhombe-modhi uye inobereka mitoro yebasa, ichibatanidza zvakasimba neTensorRT-LLM uye vLLM-maitiro ekumashure kwepamusoro-kuburikidza tokeni kutenderera. Tarisira tsigiro yakadzama yekushandira kwakapatsanurwa, akawanda-GPU uye akawanda-node tensor parallelism, KV-cache-aware routing, uye yakamisikidzwa OpenAI-mamagumo anowirirana. Sezvo masangano achimhanyisa akawanda emhando, basa raTriton sechinhu chakabatana, chinocherechedzwa chekushandira muKubernetes uye iyo NVIDIA Dynamo stack ichakura.
Kuzvishandisa
Nei zvichikosha
- Mutengo uye bhajeti. Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
- Sarudzo dzakajeka. Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
- Kudzora kwemhando yepamusoro. Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Chenjera
- Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
- Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
- Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.
Matanho anotevera
- Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
- Benchmark pasi pechokwadi mutoro uye data mamiriro.
- Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
- Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Ramba Uchiongorora
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Take the Triton Inference Server quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
Chii chinonzi Triton Inference Server?
Triton Inference Server ndiyo NVIDIA's yakavhurika-sosi chikuva chekuendesa uye kushandira AI modhi mukugadzira pamwero. Izvo zvine basa nekuti inomisikidza kuti mangani mamodheru - pane akasiyana masisitimu - anogarwa, akabatiswa, uye anowanikwa kuseri kweimwe inoshanda API.
Chii chinoita kuti Triton Inference Server 'framework-agnostic'?
Triton inotsigira akawanda backends panguva imwe chete, saka mamodheru akadzidziswa mune akasiyana masisitimu anogona kupihwa kubva kune imwechete server.
Ko dynamic batching inovandudza sei kuita?
Dynamic batching inomirira hwindo diki kubatanidza zvikumbiro mubatch, kusimudza mashandisirwo eGPU sezvo maGPU achinyanya kushanda pamabhechi makuru.
Ndeipi kutengeserana kunogona kusuma Triton dynamic batching?
Nhungamiro inoti Triton inogona kusanganisa zvikumbiro zvisingagumi mukati memutsetse wakamisikidzwa kunonoka; throughput uye kumirira latency zvinoenderana netraffic, miganhu, modhi maitiro, uye kumisikidza.
Ko Triton 'model ensemble' (kana bhizinesi-logic scripting) inokutendera kuti uite sei?
Ensembles inobatanidza nhanho dzakawanda kuitira kuti chikumbiro chimwe chete chikonzerese pombi yakazara paserver, kudzivirira dzimwe nzendo dzekutenderera kune mutengi.
Chii chinobvumira Triton panguva imwechete kuuraya?
Triton inogona kuita akawanda mamodheru kana modhi zviitiko panguva imwe chete; kushandiswa chaiko kunoenderana ne Hardware uye zviwanikwa kukakavara.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi