Versuchen GOLD - Frei
Generative AI and New Geopolitics
DataQuest
|May 2025
Why does the US government restrict companies like NVIDIA from supplying GPUs to other countries, including China? What did the fall in NVIDIA and other tech giants of the USA share prices with the launch of the DeepSeek signal? What is the response of the USA and other countries?
The term “Artificial Intelligence (AI)” was first coined by John McCarthy in 1956. However, the discussion of concepts that shaped research on AI began in the 1940s. Today, we have reached the frontier of Gen AI on this path. It is an interactive system that creates new content like conversations, stories, images, videos, music, etc, based on the types of inputs given (prompt engineering).
ChatGPT was the first Gen AI model launched by OpenAI (founded in December 2015) on Nov. 30, 2022. Within five days, the chatbot had attracted over one million users. After the launch of ChatGPT, many companies strategically developed their LLMs to stay relevant to the market. Some of the most notable ones from the USA include Bard, later changed to Gemini (by Google), Claude (by Anthropic), and LLaMA (by Meta), Co-Pilot by Microsoft, Perplexity AI, Amazon CodeWhisperer, Mistral AI from France, Qwen by Alibaba from China, etc. Another interesting development is Devin AI that is an autonomous AI assistant tool created by Cognition Labs that can write, debug, deploy software applications and manage IT projects on its own.
On Jan. 20, 2025, DeepSeek Gen AI, based on an open-source technology (released under MIT license) and owned by Chinese hedge fund High-Flyer, was launched. Coming from a start-up launched in 2023, DeepSeek followed multiple innovations like reinforcement learning, reward engineering, distillations, and emergent behaviour networks. With a small budget of $5.6 million to train its model with 671 billion parameters, the DeepSeek-R1 model was considered to have similar capabilities as OpenAI's GPT or model, which cost around $600 million (similarly US$500 million of Meta's Llama 3.1) and an estimated 3,500 people with two years' time duration.
Diese Geschichte stammt aus der May 2025-Ausgabe von DataQuest.
Abonnieren Sie Magzter GOLD, um auf Tausende kuratierter Premium-Geschichten und über 9.000 Zeitschriften und Zeitungen zuzugreifen.
Sie sind bereits Abonnent? Anmelden
WEITERE GESCHICHTEN VON DataQuest
DataQuest
Engineering India's Al-First Data Centres at Hyperscale
Rohan Sheth explains how AI and HPC are reshaping India's data centres, from density and cooling to power economics, sustainability, and hyperscale decision criteria.
4 mins
February 2026
DataQuest
From copilots to colleagues: Why agentic AI is forcing enterprises to rethink control, trust, and culture
As AI agents shift from assisting to acting, enterprises must redesign governance, data controls, and security guardrails so autonomy stays auditable, reversible, and trusted.
2 mins
February 2026
DataQuest
Reclaiming Control in the AI Era: A Conversation with Kalyan Kumar, CPO, HCLSoftware
Enterprises are reassessing cloud-first strategies as AI becomes core to operations. HCLSoftware's Kalyan Kumar explains why sovereignty, choice and control now shape decisions.
5 mins
February 2026
DataQuest
When infrastructure learns: The rise of the Al-native core
AI-native infrastructure is moving from concept to operational reality, reshaping how organisations build, govern, and scale intelligence across their digital core.
6 mins
February 2026
DataQuest
Bridging the gap between connectivity and compute at scale
As AI scales in India, data centres are evolving into high-density, low-latency platforms that unify connectivity, compute, and sustainability at national scale.
4 mins
February 2026
DataQuest
PUE is not a grapefruit metric, anymore
So what are the new high-hanging fruits for data centre strategists today? And are players going after them?
4 mins
February 2026
DataQuest
Even if Al demand fades, India need not worry - about data centres
For every megawatt (MW) of installed colocation capacity, users here generate approximately 13.2 PB of data monthly- compared to 0.3 PB for Australia and just 0.01 PB for Singapore. India's data centre growth is not dependent on one tech lever. Plus, it is phased and modular and not kneejerk. Manoj Paul explains these contours in detail.
7 mins
February 2026
DataQuest
AI infrastructure and systemic risk
What has been the biggest change in data centre industry-specially after AI workloads? Is Al-bubble a big risk for data centre infra- how much will it affect data centres if something cracks?
1 min
February 2026
DataQuest
Inside the Shift to High-Density, Al-Ready Data Centres
CtrlS' Vipin Jain discusses what it truly takes to build AI-ready data centres in India, balancing high density, liquid-ready cooling, resilience, and ESG accountability.
4 mins
February 2026
DataQuest
Sustainability is now the headline, not a footnote
Sanjay Agrawal, Head Presales and CTO at Hitachi Vantara India and SAARC opines that the conversation is moving beyond headline metrics like PUE toward a broader view of how data lifecycle management and infrastructure efficiency reduce the overall environmental footprint. Let's see why and how- while also touching upon adjacent (or not-so-adjacent) factors like redundancies, availability and AI-readiness
3 mins
February 2026
Listen
Translate
Change font size

