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/
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SOURCE: KAYTUS
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PUB: 06/12/2025 07:11 AM/DISC: 06/12/2025 07:10 AM
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Anaergia Reports Second Quarter 2025 Financial Results
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Management believes such measures allow for assessment of our operating performance and financial condition on a basis that is more consistent and comparable between reporting periods. We also believe that securities analysts, investors and other interested parties frequently use non-IFRS measures in the evaluation of public companies. Definitions of non-IFRS measures and industry metrics used in this press release are provided below. 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In addition, any statements that refer to expectations, intentions, projections or other characterizations of future events or circumstances contain forward-looking information. Statements containing forward-looking information are not facts but instead represent management's expectations, estimates and projections regarding future events or circumstances. Forward-looking statements in this press release include, among other things, statements relating to financial condition and results of operations; Company's strategic growth plan; and statements regarding the Company's Revenue Backlog and potential future sales. Forward-looking information is necessarily based on a number of opinions, assumptions and estimates that we considered appropriate and reasonable as of the date such statements were made. It is also subject to known and unknown risks, uncertainties, assumptions and other factors that may cause our actual results, level of activity, performance or achievements to be materially different from those expressed or implied by such forward-looking information, including but not limited to the risk factors described in the Company's annual information form and management's discussion and analysis for the year ended December 31, 2024. Certain assumptions in respect of our ability to execute on our expansion plans; our ability to obtain or maintain existing financing on acceptable terms; and our ability of realizing the anticipated benefits of such are material factors underlying forward looking information and management's expectations. The purpose of the forward-looking statements in this press release is to provide the reader with a description of management's current expectations regarding the Company's financial performance and may not be appropriate for other purposes. 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Earnings Conference Call and Webcast Management will host a conference call and webcast to discuss the Company's financial results at 7 a.m. ET on Wednesday, August 13, 2025. Live Call Registration and Webcast: Joining Live by Telephone: Canada: 1 833 950 0062 United States: 1 833 470 1428 Participant Access code: 628663 If you are unable to join live, an archived recording of the webcast will be available at: About VerticalScope Holdings Inc. Founded in 1999 and headquartered in Toronto, Ontario, VerticalScope is a technology company that has built and operates a cloud-based digital platform for online enthusiast communities in high consumer spending categories. VerticalScope's mission is to enable people with common interests to connect, explore their passions, and share knowledge about the things they love. Through targeted acquisitions and development, VerticalScope has built a portfolio of over 1,200 online communities and approximately 100 million monthly active users. Forward-Looking Statements This news release contains forward-looking information within the meaning of applicable securities legislation that reflects the Company's current expectations regarding future events. When used in this news release, words such as 'should', 'could', 'intended', 'expect', 'plan' or 'believe' and similar expressions indicate forward-looking statements. Forward-looking information, including the Company's plans for organic growth, deployment of capital, investments in our platform, the growth of revenue and MAU, information regarding our financial position, business strategy, growth strategies, addressable markets, budgets, operations, financial results, plans and objectives, is based on a number of assumptions and is subject to a number of risks and uncertainties, many of which are beyond the Company's control. Although the Company believes that its expectations reflected in these forward-looking statements are reasonable, such statements involve risks and uncertainties and no assurances can be given that actual results will be consistent with these forward-looking statements. Such risks and uncertainties include, but are not limited to, the implementation and effectiveness of the Company's capital allocation strategy, the availability of high-quality M&A opportunities, dependence on search algorithms and third-party traffic sources, potential disruption from artificial intelligence technologies, and the factors discussed under "Risk Factors" in the Company's Annual Information Form dated March 31, 2025, which is available on the Company's profile on SEDAR Plus at Actual results could differ materially from those projected herein. VerticalScope does not undertake any obligation to update such forward-looking information, whether as a result of new information, future events or otherwise, except as expressly required under applicable securities laws. Non-IFRS Measures This press release references certain non-IFRS measures, including Adjusted EBITDA and Free Cash Flow, and Free Cash Flow Conversion as described below. This press release also makes reference to MAU, which is an operating metric used in our industry. These non-IFRS measures are not recognized measures under IFRS and do not have a standardized meaning prescribed by IFRS and are therefore unlikely to be comparable to similar measures presented by other companies. Rather, these measures are provided as additional information to complement those IFRS measures by providing further understanding of the Company's results of operations from management's perspective. Accordingly, these measures should not be considered in isolation nor as a substitute for analysis of the Company's financial information reported under IFRS. The Company uses non-IFRS measures including: 'EBITDA' is calculated as net income (loss) excluding interest, income tax expense (recovery), and depreciation and amortization. 'Adjusted EBITDA' is calculated as EBITDA adjusted for share-based compensation, share performance related bonuses, unrealized gains or losses from changes in fair value of derivative financial instruments, severance, adjustments to contingent consideration liabilities measured at fair value through profit and loss, gain or loss on sale of assets, gain or loss on sale of investments, foreign exchange loss (gain), realized and unrealized other loss (gain) and other charges that include direct and incremental business acquisition related costs. 'Adjusted EBITDA Margin' measures Adjusted EBITDA as a percentage of revenue. 'Free Cash Flow' means Adjusted EBITDA less capital expenditures and income taxes paid during the period. 'Free Cash Flow Conversion' is equal to Free Cash Flow for the period divided by Adjusted EBITDA for the period. 'Monthly Active Users' ('MAU') is defined as the number of individuals who have visited our communities within a calendar month, based on data as measured by Google Analytics. To calculate average MAU in a given period, we sum the total MAU for each month in that period, divided by the number of months in that period. SOURCE VerticalScope Holdings Inc. The following table sets forth a reconciliation of Adjusted EBITDA and Free Cash Flow to net income (loss): (1) Share performance related bonus is included in wages and consulting on the condensed consolidated interim statements of income (loss) and comprehensive income (loss). (2) Severance is included in wages and consulting on the condensed consolidated interim statements of income (loss) and comprehensive income (loss). (3) Other charges are included in wages and consulting and general and administrative on the condensed consolidated interim statements of income (loss) and comprehensive income (loss). For the three months ended June 30, 2025, these charges include direct and incremental business acquisition related costs. Expand VERTICALSCOPE HOLDINGS INC. Condensed Consolidated Interim Statements of Income (Loss) and Comprehensive Income (Loss) (In U.S. dollars, except per share amounts) (Unaudited) Three Months Ended June 30, Six Months Ended June 30, 2025 2024 2025 2024 Operating expenses: Wages and consulting 8,276,004 6,822,678 15,438,208 13,762,711 Share-based compensation (124,142) 367,575 1,127,851 788,816 Platform and technology 2,074,497 1,675,344 3,714,095 3,218,879 General and administrative 1,382,546 1,268,179 2,443,011 2,460,804 Depreciation and amortization 4,830,349 4,500,984 9,253,924 9,065,612 16,439,254 14,634,760 31,977,089 29,296,822 Operating income (loss) (1,898,938) 2,052,756 (3,871,256) 2,114,138 Other expenses (income): Other income (1,824) — (1,824) — Gain on sale of assets (2,601) (1,098) (2,941) (4,718) Net interest and financing expense 815,644 1,074,882 1,563,462 2,237,814 Gain on sale of investments — — — (16,398) Foreign exchange loss 17,385 261 73,040 27,641 Realized other loss 26,453 — 94,030 — Unrealized other loss (26,453) — — — 828,604 1,074,045 1,725,767 2,244,339 Income (loss) before income taxes (2,727,542) 978,711 (5,597,023) (130,201) Income tax expense (recovery) Current (255,579) 163,747 155,905 252,365 Deferred (679,785) 391,866 (1,545,241) 178,929 (935,364) 555,613 (1,389,336) 431,294 Items that may be reclassified to net income (loss): Earnings (loss) per share: Basic ($0.08) $0.02 ($0.19) ($0.03) Diluted (0.08) 0.02 (0.19) (0.03) Expand VERTICALSCOPE HOLDINGS INC. Condensed Consolidated Interim Statements of Cash Flows (In U.S. dollars) (Unaudited) Three Months Ended June 30, Six Months Ended June 30, 2025 2024 2025 2024 Cash provided by (used in): Operating activities: Net income (loss) ($1,792,178) $423,098 ($4,207,687) ($561,495) Items not involving cash: Depreciation and amortization 4,830,349 4,500,984 9,253,924 9,065,612 Net interest and financing expense 815,644 1,074,882 1,563,462 2,237,814 Gain on sale of assets (2,601) (1,098) (2,941) (4,718) Gain on sale of investments — — — (16,398) Unrealized loss (gain) in derivative instruments (138,557) 19,035 (188,208) 74,703 Unrealized other gain (26,453) — — — Income tax expense (recovery) (935,364) 555,613 (1,389,336) 431,294 Share-based compensation (124,142) 367,575 1,127,851 788,816 2,626,698 6,940,089 6,157,065 12,015,628 Change in non-cash operating assets and liabilities 4,792,347 414,915 5,027,900 1,858,879 Interest paid (690,393) (1,070,476) (1,414,940) (2,233,328) Income taxes received (paid) (287,300) (119,557) (362,330) 257,529 6,441,352 6,164,971 9,407,695 11,898,708 Financing activities: Repayment of term loan — (625,000) — (1,250,000) Proceeds from issuance of revolving loan 3,000,000 — 6,000,000 — Repayment of revolving loan — (5,875,000) — (8,250,000) Cash settlement for vested RSUs (119,753) — (119,753) — Repurchase of share capital for cancellation (1,845,070) (435,859) (1,845,070) (669,085) Lease payments (232,372) (340,661) (555,651) (701,643) Proceeds from sublease 138,002 147,878 278,942 297,956 940,807 (7,128,642) 3,758,468 (10,572,772) Investing activities: Additions to property and equipment and intangible assets (268,712) (399,007) (714,654) (833,618) Proceeds from sale of assets 2,601 1,967 2,941 6,081 Proceeds from sale of investments — — — 16,398 Cash, beginning of period 5,014,293 7,908,036 5,189,315 6,015,184 Change in restricted cash balances (9,052) (3,287) (5,723) 979 Expand
