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Shock at SDC24 Korea: Samsung skips One UI 7 Beta – What’s going on?
Samsung recently held the SDC24 Korea event and skipped the One UI 7 Beta. It was highly anticipated that the company could start the One UI 7 Beta at the event. However, SDC24 Korea was centered on the Gauss2 GenAI model’s unveiling.
One UI 7 Beta is officially coming by the end of the year. The Public rollout could start early next year, following the unveil at Galaxy Unpacked. Samsung users are eagerly waiting for the new software after drastic schedule changes.
One UI 6 Beta & Stable
Last year, Samsung launched the One UI 6 Beta in early August. The Beta Program was first made available for the Galaxy S23 series. The company ran the Beta activity for over two months for the first wave of flagship models.
In late October, the Korean tech giant kicked off the Public distribution. The Stable Android 14 update has expanded to several Galaxy devices till last November. Dozens of Galaxy devices joined the party with One UI 6 update by the end of 2023.
However, things are quite different this year.
One UI 7 Beta
While there’s no exact date for the One UI 7 Beta Program, a handful of fruitful developments happened in the past few days. A few public beta builds “Z” were spotted on Samsung’s server, indicating an imminent launch.
It is assumed that this year’s Beta Program won’t last longer. The company may conduct a brief Beta testing, until the official launch. Great efforts are being put in during the software’s development and testing by One UI staff.
When the One UI 7 could launch?
Korean media reported that Samsung could introduce the Galaxy S25 series in late January. A reliable leaker claimed January 22 as the Galaxy Unpacked date. It seems the One UI 7 update could be rolled out in late January or early February.
Samsung could use Gauss2-based Galaxy AI on the Galaxy S25 Ultra. The company’s next-gen Generative AI model is 1.5 to 3x faster than the first-gen Gauss model. The DX division is already using Gauss2 to ramp up internal productivity.
Gauss2 offers improved performance and efficiency in simultaneously handling various data types. In the previous article, we’ve demonstrated its three distinct models that cater to different purposes: Compact, Balanced, and Supreme.
Samsung says the second-gen Gauss model offers equal or superior performance in response generation than leading open-source generative AI models. That said, the Galaxy AI will become faster and smarter with the inclusion of Gauss2.
Thanks to faster processing speed, Gauss2 enables quicker AI response generation. This way, the Galaxy user won’t have to wait much time. The company stated that it will continue to expand the reach of its AI-based services across all product lines.
That said, the Galaxy S25 Ultra is likely to boast Gauss2-based Galaxy AI. This upgrade will result in even faster processing of tasks and execution. Features like composition, image generation, and translation would benefit from Gauss2.
Earlier, we broke the news that Samsung is crafting an advanced AI technology. The Gauss2 press release indicates that the future Galaxy AI iteration could be integrated with knowledge graph technology to offer relevant results.
The Galaxy S24 series also uses Google’s Gemini Nano AI model. The fruitful collaboration offers futuristic capabilities on Galaxy devices. Samsung is rumored to use an enhanced version of Gemini Nano across the Galaxy S25 lineup.
Meanwhile, Samsung’s development may have indulged Gauss2 capabilities on the Galaxy S25 series. Integrated with new processors and optimized software, the company’s AI model would offer faster, reliable, and smarter results.
Samsung officially unveiled the Gauss2 GenAI model at SDC24 Korea. The company’s DX Division is already using it to improve internal productivity. Samsung could utilize Gauss2 GenAI to unlock faster and smarter experiences on Galaxy AI.
Last year, Samsung debuted the first-gen Gauss2 AI model. The second-gen offers improved performance and efficiency. It can also simultaneously handle various data types as a multimodal model integrating language, code, and images.
It is available in three distinct models catered to different purposes: Compact, Balanced, and Supreme. The Korean tech giant plans to integrate it into products to deliver higher levels of convenience and personalization.
Samsung Gauss2 Models – Compact, Balanced & Supreme
Compact Model
- It delivers optimized performance for on-device usage by maximizing the utilization of the device’s computing resources.
Balanced Model
- The Balanced model focuses on achieving a balance between performance, speed, and efficiency, providing consistent performance across diverse tasks.
Supreme Model
- It aims for top-notch performance by leveraging Mixture of Experts technology atop the Balanced model.
The Balanced and Supreme models bring equal or superior performance in key metrics such as generating responses in various languages including English and Korean, and coding capabilities compared to leading open-source GenAI models.
Adding to this, the processing speed (per hour) of Balanced and Supreme models is 1.5 to 3 times faster. Faster and stable processing speed offers quicker AI response generation, reduced user wait times, and more efficient task handling.
Samsung says Gauss2 supports 9 to 14 languages as well as various programming languages. The company has integrated its stabilization techniques for training LLMs and designed a custom tokenizer to ensure maximum efficiency.
The Korean tech giant also revealed that it will continue to expand the reach of its AI-based services across all product lines. By integrating knowledge graph technology with AI, Samsung expects to provide even more enhanced personalization services.
Samsung has invested in the US-based AI (artificial intelligence) semiconductor startup, Enfabrica. The company reportedly plans to introduce the 3.2Tbps ACF SuperNIC chip and pilot systems in the first quarter of next year.
According to the information (via Reuters), Samsung Catalyst Fund (SCF) participated in the Series C funding round of $115 million recently completed by Enfabrica.
SCF joined this investment round, which was led by Spark Capital, as a new investor. Other new investors include Arm, Cisco Investments, Maverick Silicon, and VentureTech Alliance.
Following the investment, Enfabrica shared plans to strengthen R&D and move forward with mass production of its “Accelerated Computing Fabric Super Network Interface Card (NIC)” chips.
About Enfabrica
Former Broadcom and Alphabet employees founded Enfabrica in 2019. The firm develops semiconductors and software, which support the performance and scalability of AI and accelerated computing workloads.
Samsung’s investment in AI startups
Samsung Catalyst Fund has previously invested in US AI semiconductor startup DreamBig Semiconductor and Dutch AI solution startup AxelleraAI.
The consecutive investments in promising overseas AI companies are seen as efforts to secure potential clients and gain leadership in new technologies.
Enfabrica co-founder and Chief Executive Rochan Sankar told Reuters that current technologies can string together about 100,000 AI computing chips before the network starts to bog down.