From '"DeepSeek" to "India" : Mastering Cost-Effective " AI" Training.
DeepSeek's recent success in developing a world-class AI model for just $5.6M, it's clear that cost-effective AI training is not just a dream but a reality.
Here’s how India can leverage this:
#IndiaAI
🇮🇳🇺🇸 DEAL ONE-SIDED FRAUD DEAL?
Trump gets Russian oil cut + $500B buys, India pays billions extra in energy!
Tariff relief is real & helps exports short-term. But oil switch risks higher costs, big purchase promises look one-sided,
details still unclear.
#indiaustradedeal
Wonderful to speak with my dear friend President Trump today. Delighted that Made in India products will now have a reduced tariff of 18%. Big thanks to President Trump on behalf of the 1.4 billion people of India for this wonderful announcement.
When two large economies and the world’s largest democracies work together, it benefits our people and unlocks immense opportunities for mutually beneficial cooperation.
President Trump’s leadership is vital for global peace, stability, and prosperity. India fully supports his efforts for peace.
I look forward to working closely with him to take our partnership to unprecedented heights.
@POTUS@realDonaldTrump
@Portfolio_Bull @AskPerplexity Share these 8 company promoter buying and Q2FY26 results for each
M B Agro Prod, Yash Highvoltage, Krishana Phoschem, Umiya Buildcon, Sampann Utpadan, Ador Welding, Nureca, Bhagyanagar Ind.
A couple reflections on the quantum computing breakthrough we just announced...
Most of us grew up learning there are three main types of matter that matter: solid, liquid, and gas. Today, that changed.
After a nearly 20 year pursuit, we’ve created an entirely new state of matter, unlocked by a new class of materials, topoconductors, that enable a fundamental leap in computing.
It powers Majorana 1, the first quantum processing unit built on a topological core.
We believe this breakthrough will allow us to create a truly meaningful quantum computer not in decades, as some have predicted, but in years.
The qubits created with topoconductors are faster, more reliable, and smaller.
They are 1/100th of a millimeter, meaning we now have a clear path to a million-qubit processor.
Imagine a chip that can fit in the palm of your hand yet is capable of solving problems that even all the computers on Earth today combined could not!
Sometimes researchers have to work on things for decades to make progress possible.
It takes patience and persistence to have big impact in the world.
And I am glad we get the opportunity to do just that at Microsoft.
This is our focus: When productivity rises, economies grow faster, benefiting every sector and every corner of the globe.
It’s not about hyping tech; it’s about building technology that truly serves the world.
Announcing the @Krutrim AI lab today! https://t.co/DgzDEsVDiI
While we’ve been working on AI for a year, today we’re releasing our work to the open source community and also publishing a bunch of technical reports.
Our focus is on developing AI for India - to make AI better on Indian languages, data scarcity, cultural context etc. Here’s a list of models we’re releasing:
- Krutrim 2 and Krutrim 1 LLMs: While Krutrim 1 (India’s first LLM) was launched in Jan 24, it was a basic 7B model. We’re launching Krutrim 2 today as a much improved model. More here: https://t.co/LkZwiVpxhq
- Chitrarth 1: India’s first Vision Language Model built on top of Krutrim 1 capable of understanding images and documents. More here: https://t.co/3MuFVVyzSH
- Dhwani 1: India’s first Speech Language Model built on top of Krutrim 1 capable of tasks like Speech translations. More here: https://t.co/buoWsFRfUL
- Vyakhyarth 1: State of the art Indic Embedding model for use cases like Search and RAG. More here: https://t.co/gMq9Bk2oKG
- Krutrim Translate 1: State of the art text to text translation. More here: https://t.co/ZCvtMK5HyC
In addition, since there was no global benchmark for Indic performance, we’ve developed “BharatBench” and the technical report is here: https://t.co/kp4vJCqOhE
We’ve also published a bunch of technical reports and papers here: https://t.co/EoLFpwVvVd
Also announcing India’s first GB200 deployment in partnership with NVIDIA! Will be live by March and we will make it the largest supercomputer in India by end of year.
We’re nowhere close to global benchmarks yet but have made good progress in 1 year. And by open sourcing our models, we hope the entire Indian AI community collaborates to create a world class Indian AI ecosystem. We’re still learning to walk before we can run, hopefully within this year!
All our open source work here:
Web: https://t.co/yuBW8WbUcX
GitHub: https://t.co/BtlLcitwKt
Huggingface: https://t.co/lokN7oEclh
Also, announcing an investment of ₹2,000 Cr today into Krutrim and a commitment of ₹10,000 Cr by next year!
🇮🇳@LIGOIndia Facility Inaugurated: Gateway to Gravitational Wave Research in India
Dr. A. K. Mohanty, Secretary, DAE & Chairman, AEC, inaugurated the Testing and Training Facility for LIGO-India at #RRCAT, Indore. 1/3
@LIGO@NSF
8/ Finally, by adopting cost optimization strategies like those from DeepSeek - focusing on efficiency, using custom hardware solutions, and open-source collaboration - India can build its AI muscle without breaking the bank. Let's make this happen! #IndiaAI#CostEffectiveAI
From '"DeepSeek" to "India" : Mastering Cost-Effective " AI" Training.
DeepSeek's recent success in developing a world-class AI model for just $5.6M, it's clear that cost-effective AI training is not just a dream but a reality.
Here’s how India can leverage this:
#IndiaAI
🔸7/ Initiatives like IndiaDPI can provide the data backbone necessary for training sophisticated models. With India being a massive source of data, this is a strategic advantage in making AI training cost-effective.
Announcing The Stargate Project
The Stargate Project is a new company which intends to invest $500 billion over the next four years building new AI infrastructure for OpenAI in the United States. We will begin deploying $100 billion immediately. This infrastructure will secure American leadership in AI, create hundreds of thousands of American jobs, and generate massive economic benefit for the entire world. This project will not only support the re-industrialization of the United States but also provide a strategic capability to protect the national security of America and its allies.
The initial equity funders in Stargate are SoftBank, OpenAI, Oracle, and MGX. SoftBank and OpenAI are the lead partners for Stargate, with SoftBank having financial responsibility and OpenAI having operational responsibility. Masayoshi Son will be the chairman.
Arm, Microsoft, NVIDIA, Oracle, and OpenAI are the key initial technology partners. The buildout is currently underway, starting in Texas, and we are evaluating potential sites across the country for more campuses as we finalize definitive agreements.
As part of Stargate, Oracle, NVIDIA, and OpenAI will closely collaborate to build and operate this computing system. This builds on a deep collaboration between OpenAI and NVIDIA going back to 2016 and a newer partnership between OpenAI and Oracle.
This also builds on the existing OpenAI partnership with Microsoft. OpenAI will continue to increase its consumption of Azure as OpenAI continues its work with Microsoft with this additional compute to train leading models and deliver great products and services.
All of us look forward to continuing to build and develop AI—and in particular AGI—for the benefit of all of humanity. We believe that this new step is critical on the path, and will enable creative people to figure out how to use AI to elevate humanity.