Equipment

Processor Intel Core Ultra 7 Processor with multi-core architecture suitable for AI, Deep Learning, and Medical Image Processing applications CPU Cooling System 360mm Liquid Cooling Solution for efficient thermal management during continuous high-performance workloads Motherboard High-performance motherboard with DDR5 support, PCIe 5.0 support, WiFi, Bluetooth, and high-speed connectivity options Memory (RAM) 32GB DDR5 High-Speed RAM expandable for future research requirements Storage - 1TB NVMe Gen4 SSD with high read/write speed for faster dataset access and model training (GPU) - NVIDIA RTX Series GPU dedicated graphics memory and CUDA support for Deep Learning and Parallel Computing Power Supply Unit 850W 80+ Gold Certified Fully Modular Power Supply Cabinet - High Airflow Mid-Tower Cabinet with multiple cooling fans and cable management support Monitor 27-inch IPS Monitor with Full HD resolution and high refresh rate Keyboard & Mouse Wired Keyboard and Mouse Combo System Integration Professional assembling, BIOS configuration, driver installation, thermal testing, and system optimizationJustification: GPU workstation enables training of deep learning and GAN models efficiently. Above Equipment ensures high performance, reliability, and timely project delivery. • Deep Learning model training, • Medical image processing • Skin disease detection and classification research, • AI-based segmentation and analysis • CUDA-enabled GPU computing, • Handling large-scale datasets efficiently General Technical Requirements, • Support for TensorFlow, PyTorch, and CUDA-based applications • Capability to process high-resolution medical imaging datasets, • High-speed storage and memory for faster computation • Efficient thermal and power management for continuous workloads, • Future hardware upgrade compatibility Financial and Warranty Details, • The price should inclusive of applicable GST. • All components shall be supplied with standard manufacturer warranty. • All products/components supplied under this procurement shall carry a minimum warranty period of a year from the date of installation, either through the manufacturer or authorized service provider. • Warranty services shall be provided through authorized service centers. • Installation, system testing, and configuration support are included in the procurement. • Warranty of 2 years of the component is compulsory.