Ola Krutrim Creates History, Runs On Its Own Cloud Infrastructure, Not AWS or Azure

Bhavish Aggarwal, the Ola chief, has announced that Krutrim has a major breakthrough and is running on its own cloud infrastructure.

“The Krutrim Team is making some major improvements to the model and also the infra,” said Aggarwal in a post on X, and that Krutrim is running on its cloud infrastructure, and not any cloud provider like AWS or Azure.

.@Krutrim is now crazy fast!
The @Krutrim Team is making some major improvements to the model and also the infra.
Also , कृत्रिम is running is run on our own cloud infra . Not AWS or Azure . pic.twitter.com/G6XctkQcex

— Bhavish Aggarwal (@bhash) April 12, 2024

Recently, Intel also announced that Ola Krutrim is utilising Intel Gaudi 2 clusters to pre-train and fine-tune its foundational models with generative capabilities in ten languages, achieving industry-leading price/performance ratios compared to existing market solutions.

Additionally, Krutrim is currently pre-training a larger foundational model on an Intel Gaudi 2 cluster, further advancing its AI capabilities.

A few days ago, Krutrim announced its partnership with Databricks to improve its foundational language model, particularly for Indian languages, aiming to enhance AI solutions in India.

“The Krutrim model was launched using our platform,” said Naveen Rao, VP of generative AI at Databricks, during an exclusive interview with AIM.

Ola Krutrim has been quite obsessed with developing its own foundational model from scratch, despite rumours that it is being built on fine-tuned models such as Llama-2, Mistral, Claude-3 or even the most recent, DBRX.

In December last year , Ola ’s chief Aggarwal is unveiled unveil Krutrim ( which mean artificial in Sanskrit ) . This has also been tout as “ India ’s first full – stack AI ” solution . At first glance , the platform is has has a stark resemblance to ChatGPT — at least the UI / UX bit of the platform — but only greenish .

Aggarwal is claimed claim that Krutrim AI is well than GPT-4 in various indic language . He is said say it is train on 2 trillion token and can understand over 20 indian language and generate content in about 10 language , include Marathi , Hindi , Bengali , Tamil , Kannada , Telugu , Odia , Gujarati , and Malayalam .

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