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Supply of Industrial Enterprise Grade AI Analytics Server chassis with Intel Xeon AMD EPYC,32 GB NVIDIA Enterprise Professional GPU with dedicated GPU memory,128 GB ECC RAM suitable for enterprise grade continuous operation,32 TB RAID protected enterprise storage with RAID control,Dual 10 GbE network interfaces and associated high speed,Redundant Power Supply enterprise cooling system and associat,Operating system GPU drivers AI runtime environment,AI server configuration for processing upto 32 IP CCTV camera streams,AI based real time fire flame detection from designated CCTV video feeds,AI based Fire Alarm detection capability from designated CCTV camera feeds,Camera wise configurable detection zones and analytics parameters,Real time fire event generation with camera identification and date time stamping,Event recording event history and retrieval through centralized dashboard,Integration of fire detection events with centralized alert and incident,AI based object classification and

Ministry of Defence › Department of Military Affairs

GeMGovernment e-Marketplace (GeM)GeMOpen for bids
OrganisationMinistry of Defence
DepartmentDepartment of Military Affairs
Tender valueNot stated by the portal
EMDNot stated by the portal
Last date for bids17 Nov 2026, 09:30 pm (open)
Published27 Oct 2026
Tender typeBid
CategoryGeM / Supply of Industrial Enterprise Grade AI Analytics Server chassis with Intel Xeon AMD EPYC,32 GB NV
SourceGovernment e-Marketplace (GeM)

Scope of work

Supply of Industrial Enterprise Grade AI Analytics Server chassis with Intel Xeon AMD EPYC,32 GB NVIDIA Enterprise Professional GPU with dedicated GPU memory,128 GB ECC RAM suitable for enterprise grade continuous operation,32 TB RAID protected enterprise storage with RAID control,Dual 10 GbE network interfaces and associated high speed,Redundant Power Supply enterprise cooling system and associat,Operating system GPU drivers AI runtime environment,AI server configuration for processing upto 32 IP CCTV camera streams,AI based real time fire flame detection from designated CCTV video feeds,AI based Fire Alarm detection capability from designated CCTV camera feeds,Camera wise configurable detection zones and analytics parameters,Real time fire event generation with camera identification and date time stamping,Event recording event history and retrieval through centralized dashboard,Integration of fire detection events with centralized alert and incident,AI based object classification and detection from designat
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