{"id":"874aab92-705a-4dcb-bbd8-72267ed58268","companyId":"bc7b6085-ad1c-4dcc-a87f-9c1652fcc335","modelName":"Zhikai-100","slug":"zhikai-100","description":"7nm GPGPU chip for AI inference, design completed May 2022. Companion to the TianGai-100 training chip, targeting inference workloads in cloud and data center environments.","formFactor":"other","industryVertical":null,"environment":null,"maturityStage":"production","lifecycleState":"active","supersededByModelId":null,"specs":{},"manufacturerSerial":null,"reviewStatus":"reviewed","sources":[{"url":"https://en.wikipedia.org/wiki/Iluvatar_CoreX","label":"Iluvatar CoreX","title":"Iluvatar CoreX","mediaType":"article","sourceName":"Wikipedia"},{"url":"https://www.iluvatar.com/productDetails?fullCode=cpjs-yj-tlxltt-zk100","title":"Zhikai 100 accelerator card (MR-V100)","sourceName":"Iluvatar CoreX"}],"aliases":[],"collisionRisk":"low","reviewNote":null,"manufacturerTermForTeleop":null,"keyFacts":[{"label":"Zhikai 100 card spec","value":"Iluvatar CoreX's Zhikai 100 product page lists the Zhikai 100 accelerator card (MR-V100) as a general-purpose GPU with passive cooling, a full-length full-height single-slot PCIe card, 150 W board power, and 32 GB HBM2E. The page's spec block also lists PCIe Gen4 x16 ([Iluvatar CoreX](https://www.iluvatar.com/productDetails?fullCode=cpjs-yj-tlxltt-zk100))."},{"label":"Inference and video inputs","value":"The same page's Zhikai 100 feature copy says the card supports FP32, FP16, and INT8 mixed-precision inference and up to 128 video inputs, and that it is compatible with mainstream compute frameworks and deep-learning frameworks. Treat the performance and channel claims as company-stated ([Iluvatar CoreX](https://www.iluvatar.com/productDetails?fullCode=cpjs-yj-tlxltt-zk100))."}],"createdAt":"2026-08-25T01:04:20.210Z","updatedAt":"2026-10-03T18:18:59.561Z","unitsInFieldClaimed":null,"unitsInFieldVerified":null,"unitsManufacturedClaimed":null,"unitsManufacturedVerified":null,"unitsAsOf":null,"unitsSource":null,"salesModel":null,"priceUndisclosedSince":null,"autonomyClass":null,"autonomyStatement":null,"autonomyStatementSource":null,"demoForensics":null,"exportControlClass":null,"minCommitment":null,"warrantyTerms":null,"serviceModel":null,"productionRateClaimed":null,"productionRateEvidenced":null,"teleopRatioDisclosed":null,"interventionRateDisclosed":null,"jsonLd":{"@context":"https://schema.org","@type":"Product","@id":"https://registry.deploy.report/models/zhikai-100","url":"https://registry.deploy.report/models/zhikai-100","name":"Zhikai-100","description":"7nm GPGPU chip for AI inference, design completed May 2022. Companion to the TianGai-100 training chip, targeting inference workloads in cloud and data center environments.","identifier":"874aab92-705a-4dcb-bbd8-72267ed58268","category":"other","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"verified","maturity_stage":"production","lifecycle_state":"active","architectural_position":{"cohort":"other","sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":2,"primary_source_types":["knowledge-base"]}}}