}

Supply, Installation & Commissioning Of Artificial Intelligence Lab Solution For The Use Of Computer Science Department Of The University , Gpu Accelerated Ai Computing And Developer Workstation Processor:Single Amd Epyc 7742 64 Core, 2.25Ghz Cpu Or Be, M G UNIVERSITY-Kerala

Mahatma Gandhi University has published Supply, Installation & Commissioning Of Artificial Intelligence Lab Solution For The Use Of Computer Science Department Of The University , Gpu Accelerated Ai Computing And Developer Workstation Processor:Single Amd Epyc 7742 64 Core, 2.25Ghz Cpu Or Be. Submission Date for this Tender is 07-01-2022. Personal Computers Tenders in M G UNIVERSITY Kerala. Bidders can get complete Tender details and download the document.




Tender Notice

30343401
Corrigendum : Supply, Installation & Commissioning Of Artificial Intelligence Lab Solution For The Use Of Computer Science Department Of The University , Gpu Accelerated Ai Computing And Developer Workstation Processor:Single Amd Epyc 7742 64 Core, 2.25Ghz Cpu Or Be
Tender
Indian
Kerala
M G University
07-01-2022

Tender Details

Supply, Installation & Commissioning Of Artificial Intelligence Lab Solution For The Use Of Computer Science Department Of The University , Gpu Accelerated Ai Computing And Developer Workstation Processor:Single Amd Epyc 7742 64 Core, 2.25Ghz Cpu Or Bettersystem Memory:512 Gb Ddr4gpu: 4 X Nvidia A100 Nvlink, 40Gb Memory Per Gpu Performance:2.5 Petaflops Ai, 5 Petaops Int8cuda Cores:Minimum5000 Per Gpu Tensor Cores: Minimum400 Per Gpu Power Requirements:1.5Kw Or Less Storage: 1X 1.92 Tb Nvme Drive And Internal Storage1x7.68Tb Nvme Drivesystem Network: Dual 10 Gbe, Single Port 1 Gbe Gpu Communications Protocol:Nvlink, 600 Gigabytes Per Second ( Gb / S ) Bidirectional Bandwidth Os Support: Ubuntu Linux Usb Port:3 Noise Level: < 40 Db Display: 4X Mini Display Port, 4Gb Gpu Memory Cooling:Workstation Will Be Liquid Cooled. No Additional Cooling Support Will Be Provided For The System. Software With Support ( Directly From Oem With Updates& Upgrades ) : Nvidia Ngc With 3 Years Support, Cuda Tuned Neural Network ( Cu Dnn ) Primitives Tensor Rt Inference Engine Deep Stream Sdk Video Analytics Cuda Tuned Blas Cuda Tuned Sparse Matrix Operations ( Cu Sparse ) Multi-Gpu Communications ( Nccl ) , Kubernetes Tensor Flow, Caffe , Py Torch, Theano, Keras, Caffe2, Cntk Software Containers Warranty & Support: 3 Years, Standard Form Factor:Workstation , Ml & Dl Benchmarkingtime To Train A Bert Model On Wikipedia Dataset: Not More Than 130 Minutes. Time To Train A Ssd Model On Coco Dataset: Not More Than 30 Minutes. Hpl Benchmarking: Fp64 45Tf Hpl Sustained Performance.

Corrigendum Details

Sr No CorrigendumDate Corrigendum CorrigendumType NewSubmissionDate
1 01-01-2022 Date Extension Date 07-01-2022

Key Value

Document Fees
INR 13275 /-
EMD
INR 88500.0 /-
Tender Value
Refer document
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