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Intel Partners with Infosys, Bharti Airtel, Ola, and Unveils the Gaudi 3, a new AI chip Designed to Rival Nvidia in the Indian Market

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At the Vision event, Intel unveiled the Gaudi 3, a new artificial intelligence chip designed to challenge Nvidia’s market dominance in this area. Compared to Nvidia’s H100 processor, the new chip can compute generative AI responses 50% faster and train large language models 50% faster.

Tech companies are rushing to find alternate sources of the rare chips needed for artificial intelligence (AI), which is why this announcement is made. Part of Intel’s portfolio of next-generation products, open scalable systems, and strategic partnerships, the Gaudi 3 was unveiled at the Intel Vision 2024 customer and partner conference with the goal of propelling the use of generative AI as quickly as possible.

According to Intel CEO Pat Gelsinger, every business is rapidly turning into an AI company, and Intel is implementing AI throughout the entire enterprise. It is anticipated that OEMs such as Dell Technologies, HPE, Lenovo, and Supermicro will have access to the Gaudi 3 by the second quarter of 2024.

Additionally, Intel announced partnerships with Ola/Krutrim, Infosys, and Bharti Airtel to implement the Gaudi accelerator solutions.

Bharti Airtel: In order to improve its AI capabilities and speed up customer experiences, Airtel intends to use telephone data. For the second-largest telecom company in the nation, the deployments will help open up new revenue streams.

Infosys: The company announced a strategic partnership to support Infosys Topaz, an AI-first suite of services, solutions, and platforms that leverage generative AI to accelerate business value. This partnership will bring Intel technologies, such as 4th and 5th Gen Intel Xeon processors, Intel Gaudi 2 AI accelerators, and Intel Core Ultra, to Infosys.

Ola/Krutrim: First India foundational model with generative capabilities in 10 languages will be pre-trained and refined by the Indian AI model using Intel’s new technology. Using an Intel Gaudi 2 cluster, Krutrim is currently pre-training a larger foundational model.

Additionally, Intel disclosed partnerships with Thales, Cohesity, and Google Cloud to take advantage of Intel’s private computing power in their cloud instances. This covers Intel’s attestation service, Intel Software Guard Extensions (Intel SGX), and Intel Trust Domain Extensions (Intel TDX). Clients may use trusted execution environments (TEEs) to test their AI models and algorithms, and they can use Intel’s trust services to independently confirm these TEEs’ reliability.

Nvidia, which held about 83% of the market for data center chips in 2023, has a competitive advantage over Intel and Advanced Micro Devices in terms of producing a compelling combination of chips and the software needed to develop AI applications. In the second quarter of this year, server manufacturers like Supermicro and Hewlett Packard Enterprise will be able to purchase the Gaudi 3 chip, which is more than twice as fast as its predecessor and was created using Taiwan Semiconductor Manufacturing Co.’s 5nm process.

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LG Introduces Smarter Features in 2024 OLED and QNED AI TVs for India

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The much awaited 2024 portfolio of OLED evo AI and QNED AI TVs was unveiled today by LG Electronics India. With their advanced AI capabilities and improved audiovisual experiences, these televisions—which were unveiled at CES 2024 earlier this year—are poised to completely transform home entertainment.

AI-Powered Performance: The Television of the Future

The inclusion of LG’s cutting-edge Alpha 9 Gen 6 AI processor is the lineup’s most notable feature for 2024. Compared to earlier versions, the AI performance can be increased four times thanks to this powerhouse. Beautiful graphics are produced by the AI Picture Pro feature with AI Super Upscaling, and simulated 9.1.2 surround sound is used by AI Sound Pro to create an immersive audio experience.

A Wide Variety of Choices to Meet Every Need

QNED MiniLED (QNED90T), QNED88T, and QNED82T alternatives are available in LG’s 2024 range in addition to OLED evo G4, C4, and B4 series models. With screens ranging from a small 42 inches to an amazing 97 inches, this varied variety accommodates a broad spectrum of consumer tastes.

Features for Entertainment and Gaming to Improve the Experience

The new TVs guarantee an exciting gaming experience with their array of capabilities. Among them include a refresh rate of 4K 144Hz, extensive HDMI 2.1 functionality, and Game Optimizer, which makes it simple to adjust between display presets for various genres. In order to provide fluid gameplay, the TVs also feature AMD FreeSync and NVIDIA G-SYNC Compatible technologies.

Cinephiles will value the TVs’ dynamic tone mapping of HDR material, which guarantees the best possible picture quality in any kind of viewing conditions. Films are shown as the director intended with the Filmmaker Mode, which further improves the cinematic pleasure.

Intelligent and Sophisticated WebOS

Featuring an intuitive UI and enhanced functions, LG’s latest WebOS platform powers the 2024 collection. LG has launched the WebOS Re:New program, which promises to upgrade users’ operating systems for the next five years. This ensures that consumers will continue to benefit from the newest features and advancements for many years to come.

The Cost and Accessibility

The QNED AI and LG OLED evo AI TVs for 2024 have pricing beginning at INR 119,990. These TVs are available for purchase through LG’s wide network of retail partners in India.

The Future of Home Entertainment

LG Electronics India has proven its dedication to innovation and stretching the limits of home entertainment once more with their 2024 portfolio. With their amazing graphics, immersive audio, and smart capabilities that adapt to changing consumer demands, the new OLED evo AI and QNED AI TVs promise to provide an unmatched viewing experience.

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Anomalo Expands Availability of AI-Powered Data Quality Platform on Google Cloud Marketplace

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Anomalo declared that it has broadened its collaboration with Google Cloud and placed its platform on the Google Cloud Marketplace, enabling customers to use their allotted Google Cloud spend to buy Anomalo right away. Without requiring them to write code, define thresholds, or configure rules, Anomalo gives businesses a method to keep an eye on the quality of data being handled or stored in Google Cloud’s BigQuery, AlloyDB, and Dataplex.

GenAI and machine learning (ML) models are being built and operationalized at scale by modern data-powered enterprises, who are also utilizing their centralized data to perform real-time, predictive analytics. That being said, the quality of the data that drives dashboards and production models determines their overall quality. One regrettable reality that many data-driven businesses soon come to terms with is that a large portion of their data is either , outdated, corrupt, or prone to unintentional and unwanted modifications. Because of this, businesses end up devoting more effort to fixing problems with their data than to realizing the potential of that data.

GenAI and machine learning (ML) models are being built and operationalized at scale by modern data-powered enterprises, who are also utilizing their centralized data to perform real-time, predictive analytics. That being said, the quality of the data that drives dashboards and production models determines their overall quality. A prevalent issue faced by numerous data-driven organizations is that a significant portion of their data is either missing, outdated, corrupted, or prone to unanticipated and unwanted modifications. Instead of utilizing their data to its full potential, businesses wind up spending more time fixing problems with it.

Keller Williams, BuzzFeed, and Aritzia are among the joint Anomalo and Google Cloud clients. As stated by Gilad Lotan, head of data science and analytics at BuzzFeed, “Anomalo with Google Cloud’s BigQuery gives us more confidence and trust in our data so we can make decisions faster and mature BuzzFeed Inc.’s data operation.” “We can identify problems before stakeholders and data users throughout the organization even realize they exist thanks to Anomalo’s automatic detection of data quality and availability.” Thanks to BigQuery and Anomalo’s combined capabilities, it’s an excellent place for data teams to be as they transition from reactive to proactive operations.

“Our shared goal of assisting businesses in gaining confidence in the data they rely on to run their operations is closely aligned with that of Google Cloud. Our clients are using BigQuery and Dataplex to manage, track, and create data-driven applications as a result of the skyrocketing volumes of data. Co-founder and CEO of Anomalo Elliot Shmukler stated, “It was a no-brainer to bring our AI-powered data quality monitoring to Google Cloud Marketplace as a next step in this partnership, and a massive win.”

According to Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud, “bringing Anomalo to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the data quality platform on Google Cloud’s trusted, global infrastructure.” “Anomalo can now support customers on their digital transformation journeys and scale in a secure manner.”

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Soket AI Labs Unveils Pragna-1B AI Model in Partnership with Google Cloud

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The open-source multilingual foundation model, known as “Pragna-1B,” was released on Wednesday by the Indian artificial intelligence (AI) research company Soket AI Labs in association with Google Cloud services.

In addition to English, Bengali, Gujarati, and Hindi, the model will offer AI services in other Indian vernacular languages.

“A key factor in the Pragna-1B model’s pre-training was our collaboration with Google Cloud. Our development of Pragna-1B was both efficient and economical thanks to the utilization of Google Cloud’s AI Infrastructure. Asserting comparable performance and efficacy in language processing tasks to similar category models, Pragna-1B demonstrates unmatched inventiveness and efficiency despite having been trained on fewer parameters, according to Soket AI Labs founder Abhishek Upperwal.”

Pragna-1B, he continued, “is specifically designed for vernacular languages. It provides balanced language representation and facilitates faster and more efficient tokenization, making it ideal for organizations looking to optimize operations and enhance functionality.”

By adding Soket’s AI developer platform to the Google Cloud Marketplace and the Pragna model series to the Google Vertex AI model repository, Soket AI Labs and Google Cloud will shortly expand their partnership even further.

Developers will have a strong, efficient experience fine-tuning models thanks to this connection. According to the business, the combination of Vertex AI and TPUs’ high-performance resources with Soket’s AI Developer Platform’s user-friendly interface would provide the best possible efficiency and scalability for AI projects.

According to the firm, this partnership would also make it possible for technical teams to collaborate on the fundamental tasks involved in creating high-quality datasets and training massive models for Indian languages.

“Our collaboration with Soket AI Labs to democratize AI innovation in India makes us very happy.” Pragna-1B, which was developed on Google Cloud, represents a groundbreaking advancement in Indian language technology and provides businesses with improved scalability and efficiency, according to Bikram Singh Bedi, Vice President and Country Managing Director, Google Cloud India.

Since its founding in 2019, Soket has changed its focus from being a decentralized data exchange for smart cities to an artificial intelligence research company.

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