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KLH Hyderabad announced an Agentic AI Campus initiative with HCL Group AI Labs at its Bachupally campus on October 6, 2026. The announcement describes a roadmap for practical, cross-disciplinary AI learning—not proof that every planned curriculum change or project is already in place. KLH describes it as “India’s first,” a claim not independently established in the available coverage.
What KLH Hyderabad announced
Coverage by The Times of India and Business Standard reports that KLH Hyderabad inaugurated the initiative on October 6, 2026, and signed a memorandum of understanding with HCL Group AI Labs. Deepak Sarvanan, identified as National Head of HCL Group AI Labs, formally inaugurated it. Dr. L. Koteswara Rao, Principal of KLH Bachupally, represented KLH in the MoU exchange.
The announcement presents the campus as an education initiative intended to connect learning with practical projects and industry engagement. Er. Koneru Lakshman Havish, Vice President of KL Deemed to be University, said the aim is to help students build skills to shape how AI is used in their fields and to develop intelligent solutions for real-world needs.
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What the roadmap says students may do
The proposed approach is cross-disciplinary: students would learn to understand, build, and apply intelligent technologies through practical work, faculty mentorship, and engagement with industry. The announcement names business automation, data-driven services, and AI applications tailored to particular disciplines as areas for exploration.
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- High-Performance AI Processor：The MS-02 Ultra features an Intel Core Ultra 9 285HX (24C/24T, up to 5.5 GHz, 13 TOPS NPU), delivering fast and efficient performance for AI inference, algorithm development, and media workloads. A PCIe x16 expansion slot supports desktop-class GPU upgrades for advanced model training and accelerated computing tasks. It's ideal for creators, engineers, and teams handling intensive parallel workloads.
- 4 × M.2 PCIe 4.0 + 4 × DDR5 SODIMM slots:Four DDR5 SODIMM slots support up to 256 GB of memory, while ECC helps maintain data integrity in mission-critical environments. Four PCIe 4.0 M.2 slots support up to 24 TB of storage, supporting RAID 0/1/5/10, combining high-speed performance with data protection. It allows for the creation of independent scratch disks, media libraries, and project drives, providing high-throughput for production workflows.
- PCIe & USB 4.0 v2: Up to three PCIe slots can be equipped, including a dual-slot x16 GPU. The main slot supports PCIe 5.0, meeting the needs of high-bandwidth creative and computing workloads. USB 4.0 v2 (80Gbps) supports high-bandwidth external storage and displays.
- Ultra-fast Networking: Wi-Fi 7 further enhances wireless performance with next-generation speeds and low-latency stability. Intelligent bandwidth switching optimizes throughput in different network environments, ensuring optimal performance for enterprise or local networks. Dual 25GbE ports (providing up to approximately 3.125 GB/s bandwidth, about 25 times faster than traditional 1GbE), enabling seamless large-scale file transfers and parallel computing. 10GbE and 2.5GbE ports, with support for Intel vPro technology, ensure enterprise-grade remote management and deployment flexibility.
- Server-grade thermal architecture: Utilizing a dedicated CPU/GPU airflow design, equipped with a 6-pipe dual-fan cooler, it maintains stable performance even under sustained loads, delivering up to 140W Turbo power while maintaining a 100W TDP, and operating with noise levels as low as 36 dB. An integrated 350W power supply ensures stable and reliable output for demanding computing tasks and fully loaded extended configurations.
Students are expected to design and test solutions, then assess their accuracy, reliability, and practical value. The coverage describes intended activities, rather than documenting completed projects or measured learning outcomes.
Responsible AI and faculty support
Faculty support is part of the stated development plan. The announcement also identifies data privacy, bias, reliability, and human accountability as concerns to address when using AI. These are stated priorities; the coverage does not describe independently audited safeguards or provide evidence of how they will be implemented in specific courses or projects.
How the announcement fits the earlier partnership report
Telangana Today reported on September 21, 2026, on a related university partnership with HCL AI Labs and plans to integrate AI into curricula, laboratories, projects, and learning activities. The October 6 coverage reports the inauguration of the KLH Hyderabad campus initiative and the MoU. The reports describe related stages, not evidence that the planned changes have all been implemented.
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The October 6 coverage describes the initiative as “India’s first Agentic AI Campus,” attributing that characterization to KLH. The available coverage does not independently verify national priority or set criteria for what qualifies as an agentic AI campus. It is therefore best read as the university’s description of its initiative, not as an independently confirmed ranking.
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- Professional AI & Creator Workstation: AMD Radeon AI PRO R9700 GPU with 32GB GDDR6 is engineered for AI development, professional content creation, and compute-intensive workloads.
- Massive 32GB Memory Capacity: 32GB of GDDR6 memory on a 256-bit bus provides ample bandwidth for large AI models, 8K video editing, and complex 3D rendering.
- Advanced RDNA 4 with AI Accelerators: 64 Compute Units with 3rd Gen Ray Tracing and dedicated 2nd Gen AI Accelerators for groundbreaking AI performance and visual computing.
- Professional Blower Cooling: Efficient single blower design exhausts heat directly out of the chassis, ideal for multi-GPU workstation and server configurations.
- Enterprise-Grade Thermal Solution: Vapor chamber heatsink with industrial Honeywell PTM7950 thermal interface material ensures reliable cooling under sustained professional loads.
What has not been specified
The announcement coverage does not state when curriculum changes will begin, which degree programs will be affected, how many projects or students will participate, what budget is allocated, or what outcomes have been measured. Until those details are published, the campus is most accurately understood as an announced initiative and roadmap.
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- 【High-Performance APU】The MS-S1 MAX features an AMD Ryzen AI Max+ 395 APU, integrating a Zen 5 architecture CPU (up to 5.1GHz, 16C/32T, 64M L3 Cache), an RDNA 3.5 GPU, and an NPU (50 TOPS). The total system output is 126 TOPS. It provides powerful parallel computing capabilities for demanding AI workflows. It is ideal for running local LLMs, multimodal models, and computationally intensive tasks
- 【128GB UMA Memory】Equipped with up to 128GB of LPDDR5x-8000MT/s unified memory, it enables the CPU and GPU to access a shared, high-bandwidth memory pool with extremely low latency. Ideal for large-scale AI inference, 3D workloads, and complex timelines in video editing. It eliminates traditional VRAM bottlenecks, ensuring smoother data transfer during high-intensity computations. The UMA design maximizes performance stability under high loads
- 【Flexible Expansion】The MS-S1 MAX features USB4 V2 (up to 80Gbps), dual 10GbE LAN, HDMI 2.1 (up to 8K60), a full-length PCIe x16 expansion slot, and dual M.2 slots supporting up to 16TB RAID 0/1. Wi-Fi 7 provides stronger signal coverage and a more stable wireless experience. The slide-out design facilitates upgrades and maintenance. It easily adapts to personal, studio, or rack-mount enterprise environments
- 【High-Efficiency Cooling System】Utilizing an aerospace-grade aluminum alloy chassis, copper base plate, six heat pipes, dual turbine fans, and advanced PCM thermal conductive material, it maintains stable cooling performance even under continuous load. This system supports 130W continuous power and 160W peak power operation, with a built-in 320W power supply. It boasts multiple global certifications including CCC, FCC, UL, CE, and UKCA, ensuring stable and reliable operation in various environments
- 【Cluster Design】Two MS-S1 MAX units can be configured as a dual-unit cluster to run a large 235B Q4 model locally, achieving an output speed of 10.87 tok/s. Supporting 2U rack deployment, multiple MS-S1 MAX units can be cascaded into a distributed cluster to create a high-efficiency AI computing center. A cluster of four MS-S1 MAX units successfully ran a DeepSeek-R1 671B Q4 large model. A reserved cluster power-on interface allows for unified start-up and shutdown
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