TL;DR
Virtualization overhead in GPU workloads silently destroys 15–28% of compute performance, unacceptable at AI training scale.
Bare metal GPU servers eliminate the hypervisor layer, delivering near-native CUDA throughput for LLM training, fine-tuning, and high-throughput inference.
India’s AI infrastructure market is at an inflection point, enter...
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Fine-Tuning LLM Tokens for Efficient Edge and GigaCampus Integration title: India's Full-Stack Sovereign AI Infrastructure Platform | Biggest AI Factory