KAYTUS Unveils Upgraded MotusAI to Accelerate LLM Deployment
KAYTUS, a leading provider of end-to-end AI and liquid cooling solutions, today announced the release of the latest version of its MotusAI AI DevOps Platform at ISC High Performance 2025. The upgraded MotusAI platform delivers significant enhancements in large model inference performance and offers broad compatibility with multiple open-source tools covering the full lifecycle of large models. Engineered for unified and dynamic resource scheduling, it dramatically improves resource utilization and operational efficiency in large-scale AI model development and deployment. This latest release of MotusAI is set to further accelerate AI adoption and fuel business innovation across key sectors such as education, finance, energy, automotive, and manufacturing.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20250612546292/en/
MotusAI Dashboard
As large AI models become increasingly embedded in real-world applications, enterprises are deploying them at scale, to generate tangible value across a wide range of sectors. Yet, many organizations continue to face critical challenges in AI adoption, including prolonged deployment cycles, stringent stability requirements, fragmented open-source tool management, and low compute resource utilization. To address these pain points, KAYTUS has introduced the latest version of its MotusAI AI DevOps Platform, purpose-built to streamline AI deployment, enhance system stability, and optimize AI infrastructure efficiency for large-scale model operations.
Enhanced Inference Performance to Ensure Service Quality
Deploying AI inference services is a complex undertaking that involves service deployment, management, and continuous health monitoring. These tasks require stringent standards in model and service governance, performance tuning via acceleration frameworks, and long-term service stability, all of which typically demand substantial investments in manpower, time, and technical expertise.
The upgraded MotusAI delivers robust large-model deployment capabilities that bring visibility and performance into perfect alignment. By integrating optimized frameworks such as SGLang and vLLM, MotusAI ensures high-performance, distributed inference services that enterprises can deploy quickly and with confidence. Designed to support large-parameter models, MotusAI leverages intelligent resource and network affinity scheduling to accelerate time-to-launch while maximizing hardware utilization. Its built-in monitoring capabilities span the full stack—from hardware and platforms to pods and services—offering automated fault diagnosis and rapid service recovery. MotusAI also supports dynamic scaling of inference workloads based on real-time usage and resource monitoring, delivering enhanced service stability.
Comprehensive Tool Support to Accelerate AI Adoption
As AI model technologies evolve rapidly, the supporting ecosystem of development tools continues to grow in complexity. Developers require a streamlined, universal platform to efficiently select, deploy, and operate these tools.
The upgraded MotusAI provides extensive support for a wide range of leading open-source tools, enabling enterprise users to configure and manage their model development environments on demand. With built-in tools such as LabelStudio, MotusAI accelerates data annotation and synchronization across diverse categories, improving data processing efficiency and expediting model development cycles. MotusAI also offers an integrated toolchain for the entire AI model lifecycle. This includes LabelStudio and OpenRefine for data annotation and governance, LLaMA-Factory for fine-tuning large models, Dify and Confluence for large model application development, and Stable Diffusion for text-to-image generation. Together, these tools empower users to adopt large models quickly and boost development productivity at scale.
Hybrid Training-Inference Scheduling on the Same Node to Maximize Resource Efficiency
Efficient utilization of computing resources remains a critical priority for AI startups and small to mid-sized enterprises in the early stages of AI adoption. Traditional AI clusters typically allocate compute nodes separately for training and inference tasks, limiting the flexibility and efficiency of resource scheduling across the two types of workloads.
The upgraded MotusAI overcomes traditional limitations by enabling hybrid scheduling of training and inference workloads on a single node, allowing for seamless integration and dynamic orchestration of diverse task types. Equipped with advanced GPU scheduling capabilities, MotusAI supports on-demand resource allocation, empowering users to efficiently manage GPU resources based on workload requirements. MotusAI also features multi-dimensional GPU scheduling, including fine-grained partitioning and support for Multi-Instance GPU (MIG), addressing a wide range of use cases across model development, debugging, and inference.
MotusAI's enhanced scheduler significantly outperforms community-based versions, delivering a 5× improvement in task throughput and 5× reduction in latency for large-scale POD deployments. It enables rapid startup and environment readiness for hundreds of PODs while supporting dynamic workload scaling and tidal scheduling for both training and inference. These capabilities empower seamless task orchestration across a wide range of real-world AI scenarios.
About KAYTUS
KAYTUS is a leading provider of end-to-end AI and liquid cooling solutions, delivering a diverse range of innovative, open, and eco-friendly products for cloud, AI, edge computing, and other emerging applications. With a customer-centric approach, KAYTUS is agile and responsive to user needs through its adaptable business model. Discover more at KAYTUS.com and follow us on LinkedIn and X.
View source version on businesswire.com:https://www.businesswire.com/news/home/20250612546292/en/
CONTACT: Media Contacts
[email protected]
KEYWORD: EUROPE SINGAPORE SOUTHEAST ASIA ASIA PACIFIC
INDUSTRY KEYWORD: APPS/APPLICATIONS TECHNOLOGY OTHER TECHNOLOGY SOFTWARE NETWORKS INTERNET HARDWARE DATA MANAGEMENT ARTIFICIAL INTELLIGENCE
SOURCE: KAYTUS
Copyright Business Wire 2025.
PUB: 06/12/2025 07:11 AM/DISC: 06/12/2025 07:10 AM
http://www.businesswire.com/news/home/20250612546292/en
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
37 minutes ago
- Yahoo
SpaceX to invest $2 billion in Musk's xAI startup, WSJ reports
(Reuters) -SpaceX has agreed to invest $2 billion in Elon Musk's AI startup xAI, marking one of its largest external investments and nearly half of xAI's recent $5 billion equity raise, the Wall Street Journal reported on Saturday. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
37 minutes ago
- Yahoo
My 2 Top Quantum Computing Stocks to Buy Now
Much like artificial intelligence (AI), quantum computing has attracted investors for its game-changing potential. Quantum computing is in its early days of growth, making now a great time to look for future winners. 10 stocks we like better than Alphabet › Quantum computing has been turning heads in the investment world, much like artificial intelligence (AI) has done and continues to do. The reason? Both of these areas could be game changing for businesses and our daily lives -- for example, these technologies could result in the development of life-saving drugs, may streamline factory operations, and help you organize your daily tasks. All of this may result in supercharged earnings growth for the companies leading the way. AI and quantum computing are complementary but different: AI involves the training of large language models (LLMs) so that they can go on to solve complex problems. Quantum computing harnesses the behavior of subatomic particles -- and their ability to scale exponentially -- to solve problems that are impossible for classical computers to handle. Both technologies are in their early days of growth, though AI already is being applied to real-world problems and generating major revenue for companies -- quantum computing may take several years before becoming generally useful, some experts have predicted. But the fact that quantum is just getting started is great news for investors because it offers us plenty of time to get in on these stocks and benefit from their full growth story. And at the same time, you can minimize risk by investing in companies that already have proven themselves in other areas and are profitable. With this in mind, here are my top two quantum computing stocks to buy now. Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL) is mainly known for its Google platform -- from the world's most popular search engine Google Search to cloud computing unit Google Cloud. Together, these businesses have helped the company generate billions of dollars in revenue over the years. And what's also compelling is that Alphabet has understood how to invest in its business, resulting in gains in return on invested capital too. This company continues to excel in its markets and has invested in AI -- applying the technology to its business and selling AI tools to others. On top of this, Alphabet aims to win in quantum computing as well, and might be on the right track to do so. Late last year, the company announced Willow, its quantum chip that already has accomplished two big things. It's shown that it can reduce errors when scaling up with more qubits, or the particles that process data -- this is a big deal, since errors have been a big problem with quantum systems. And second, it performed a computation in a few minutes that would have been impossible for even the most sophisticated supercomputer. Alphabet says the Willow generation of chips may help quantum computing become generally useful -- reaching a huge milestone. Considering Alphabet's solid, profitable business and progress in quantum computing, it's a no-brainer buy at the dirt cheap price of 18x forward earnings estimates. You may think mainly of AI when you think of Nvidia (NASDAQ: NVDA) -- and that's right. The company dominates the AI chip market and sells a full portfolio of related elements that have been driving enormous revenue growth. In the latest fiscal year, Nvidia's revenue surged 114% to $130 billion, a record, thanks to this focus on AI. But Nvidia also may benefit from the quantum computing market too -- and it may not have to wait very long. This is because Nvidia's computing platforms can be used now to help tackle problems facing quantum computing, such as error correction, and help develop hybrid AI/quantum systems. To get the ball rolling, Nvidia recently announced it's building an accelerated quantum computing research center in Boston, to open later this year. All this means that Nvidia, which has been flying high thanks to soaring AI-driven revenue, also may see itself generating growth as quantum computing develops, and then if and when it reaches the general use stage. Meanwhile, as an investor, you don't face significant risk, since Nvidia already is highly profitable thanks to its AI business and also generates revenue by selling its chips to gaming, robotics, and professional visualization customers. So, by investing in Nvidia, you're betting on an established company that's delivered big results -- and at the same time, you're positioning yourself for a potential quantum computing win too. Before you buy stock in Alphabet, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Alphabet wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $671,477!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,010,880!* Now, it's worth noting Stock Advisor's total average return is 1,047% — a market-crushing outperformance compared to 180% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of July 7, 2025 Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Adria Cimino has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet and Nvidia. The Motley Fool has a disclosure policy. My 2 Top Quantum Computing Stocks to Buy Now was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Wall Street Journal
an hour ago
- Wall Street Journal
SpaceX to Invest $2 Billion Into Elon Musk's xAI
Elon Musk's SpaceX has agreed to invest $2 billion in xAI, investors close to the companies said, nearly half of the Grok chatbot maker's recent equity raise. Musk has repeatedly mobilized his business empire to boost the AI startup, which is racing to catch up with OpenAI. Earlier this year, he merged xAI with X, combining what was a small research lab with a social-media platform that helps amplify the reach of its Grok chatbot. The merger valued the new company at $113 billion.
