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Why 64 H100s on RunPod Beat Hyperscalers: How One Startup Slashed 65% of Their AI Costs…
Latest   Machine Learning

Why 64 H100s on RunPod Beat Hyperscalers: How One Startup Slashed 65% of Their AI Costs…

Last Updated on August 29, 2025 by Editorial Team

Author(s): R. Thompson (PhD)

Originally published on Towards AI.

Why Thousands Are Switching to This AI-First Cloud to Train Models Like LLaMA, Mistral, and DeepSeek R1 🚀

In the high-stakes world of generative AI, training a language model isn’t just a technical task — it’s an economic and architectural challenge. Massive models like LLaMA 3 or DeepSeek R1 demand hundreds of gigabytes of GPU memory, lightning-fast networking, and storage systems that can keep pace. For many, the dream of contributing to this frontier is blocked not by knowledge, but by cost. RunPod offers a surprising alternative.

Why 64 H100s on RunPod Beat Hyperscalers: How One Startup Slashed 65% of Their AI Costs…

Image illustrating the capabilities of RunPod in training large-scale AI models.

The article discusses the challenges and solutions presented by RunPod, an AI-first cloud platform that offers significant cost savings and efficient infrastructure tailored for AI training. It highlights how RunPod differentiates itself with affordable pricing and tools designed for the community, addressing common barriers faced by researchers and developers. Additionally, various features such as immediate access to multiple GPU models and efficiency enhancements like RunPod’s FlashBoot technology are presented, showcasing its advantages over traditional cloud providers.

Read the full blog for free on Medium.

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