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Hey AI developers, can you suggest some lowest priced cloud GPU for r&d?

Krutrim, the AI startup founded by Ola Cabs' CEO Bhavish Aggarwal, plans to design, build, and launch its first AI chip by 2026:🇮🇳 Bodhi 1 (For AI): 2026 Bodhi 2 (For AI): 2028 Sarv 1 (General computing): 2026 Ojas (Edge computing): Date not re

India’s AI landscape is defined by two distinct approaches: Krutrim and Fathom‑R1‑14B. Krutrim (Ola/Bhavish Aggarwal) – Multilingual model covering 22 Indian languages for chat, storytelling, translation and enterprise services – Complete AI infrast

Sankalp 24 Highlights (Olala!!) Ola Electric • Launched Roaster X, Roadster, and Roadster Pro with prices starting from INR 74,999, INR 1,04,999, and INR 1,99,999 respectively • Integrating Bharat 4680 cells in EVs starting Q1 FY26 • Launched Gen-

What are your views on Krutrim AI by Ola?

Bhavish Aggarwal-led AI unicorn Krutrim has announced that it has begun hosting Meta’s latest Llama 4 models on its cloud platform. In an official statement, Krutrim revealed that Llama 4 Scout and Llama 4 Maverick are now available for developers t

In a bold step toward reshaping India's AI landscape, Bhavish Aggarwal, CEO of Ola and Krutrim, has announced the deployment of India’s first GB200 supercomputer in collaboration with NVIDIA. This high-performance supercomputer, set to go live by Mar

Jio’s entry into the AI cloud market is a direct challenge to Google Cloud, Jio will provide "AI-Cloud Welcome Offer", upto 100 GB of free cloud storage for Jio users from this Diwali This was all about the Jio B2C strategy, they have even partnered

🚀 India’s Fastest Unicorns! 🦄 🔥 Here’s the speed chart: ⚡ Mensa – 6 Months ⚡ GlobalBees – 7 Months ⚡ Krutrim – 9 Months (India’s 1st AI Unicorn 🤖) ⚡ Polygon – 1 Year ⚡ Glance – 1 Year ⚡ Ola Electric – 2 Years ⚡ Udaan – 2 Years ⚡ Yubi – 2 Years ⚡

Harnessing GPU Power with CUDA CUDA (Compute Unified Device Architecture) is a parallel computing platform by Nvidia that unleashes the power of GPUs for more than just graphics rendering. Initially developed in 2007, CUDA enables massive parallel p