Back

Anyone of you have used NVIDIA's GPU for machine learning or training algorithms? Me - I have used GeForce GTX 1650

What Quantum computing can do ? Quantum computing 🖥️ is going to change the way tech companies operate. It will reduce 🔻 many costs and do complex calculation faster than anything else. Recently in a big shift Amazon introduced quantum computing

*New USC Study Demonstrates Unconditional Exponential Quantum Scaling Advantage* ## Summary: - Quantum computers have the potential to revolutionize computation by solving complex problems faster than classical computers. - Daniel Lidar and his te

NVIDIA isn’t just a chipmaker—it’s the brain behind the AI revolution. From powering gaming graphics to training ChatGPT-like models, NVIDIA mastered one thing: timing. While others saw GPUs as gaming tools, NVIDIA saw them as the future of computing

Revolutionizing AI with Inference-Time Scaling: OpenAI's o1 Model" Inference-time Scaling: Focuses on improving performance during inference (when the model is used) rather than just training. Reasoning through Search: The o1 model enhances reasonin

NVIDIA- THE DOMINANT FORCE 1. NVIDIA is a leading force in AI and GPU technology. 2. Their GPUs, like the H100 Tensor Core, are critical for AI development, including training models like ChatGPT. 3. NVIDIA's stock has surpassed a $1 trillion ma

OpenAI has for months been working with Broadcom to create an AI chip for running models, which could arrive as soon as 2026, reports Reuters. Meanwhile, OpenAI plans to use AMD chips through Microsoft's Azure cloud platform for model training.

Will AI hit a wall? 🤔 Future advanced models need complex data—but is there enough available? Or are we running out of high-quality training data? What’s the solution? More synthetic data? Better datasets? Discuss! ⬇️

Let's Start With Today's Topic : How AI Chips Work , Uses , Companies Working On It? ° How AI Chips Work? •Large arrays of specialized processing cores for AI operations. •High-speed on-chip memory for storing AI models and data. •Fast interconn

India should focus on fine-tuning existing AI models and building applications rather than investing heavily in foundational models or AI chips, says Groq CEO Jonathan Ross. Is this the right strategy for India to lead in AI innovation? Thoughts?