Recently DeepSeek-R1 has gained significant attention, which was trained with:
Just 2,000 Nvidia H800 GPUs (vs. 25,000+ used by OpenAI/Google).
A cost of $5.6M (vs. the $100M+ spent by competitors).
An open-source model, making AI innovation accessible without huge licensing fees.
🔴 Trump’s AI Warning
Even Donald Trump has called China’s AI advancements a "wake-up call" for the U.S. But honestly, it should be a wake-up call for India, too.
India has repeatedly proven that cost efficiency and innovation are possible.
ISRO’s Chandrayaan mission cost just $74M, cheaper than Hollywood’s Oppenheimer ($100M) or Mission Impossible 7 ($291M)!
Why should we believe AI models are out of reach if we can send rockets to the Moon for less than a movie budget?
💡 The Real Question:
Should India focus only on AI applications, or should we also invest in training our own AI models to stay globally competitive?
👉 What’s your take? Should India train its own AI models or just leverage existing ones?
Thillai The Techie
Recently DeepSeek-R1 has gained significant attention, which was trained with:
Just 2,000 Nvidia H800 GPUs (vs. 25,000+ used by OpenAI/Google).
A cost of $5.6M (vs. the $100M+ spent by competitors).
An open-source model, making AI innovation accessible without huge licensing fees.
🔴 Trump’s AI Warning
Even Donald Trump has called China’s AI advancements a "wake-up call" for the U.S. But honestly, it should be a wake-up call for India, too.
India has repeatedly proven that cost efficiency and innovation are possible.
ISRO’s Chandrayaan mission cost just $74M, cheaper than Hollywood’s Oppenheimer ($100M) or Mission Impossible 7 ($291M)!
Why should we believe AI models are out of reach if we can send rockets to the Moon for less than a movie budget?
💡 The Real Question:
Should India focus only on AI applications, or should we also invest in training our own AI models to stay globally competitive?
👉 What’s your take? Should India train its own AI models or just leverage existing ones?
2 months ago | [YT] | 9