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TAT Technologies Reports First Quarter 2025 Results

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TAT Technologies Delivers 23.6% Revenue Growth, 80.7% Increase in Net Profit, and 56.2% Increase in adjusted EBITDA, and Continued Margin Expansion for the First Quarter of 2025

NETANYA, Israel, May 19, 2025 /PRNewswire/ — TAT Technologies Ltd. (NASDAQ: TATT) (TASE: TATT) (“TAT” or the “Company”), a leading provider of products and services to the commercial and military aerospace and ground defense industries, reported today its unaudited results for the three months ended March 31, 2025.

Financial Highlights for the First Quarter of 2025:

Revenue for the first quarter of 2025 increased by 23.6% to $42.1 million compared to $34.1 million in the first quarter of 2024.Gross profit for the first quarter of 2025 increased by 40.9% to $10.0 million compared to $7.1 million in the first quarter of 2024.Gross margin for the first quarter of 2025 improved by 290bp to 23.6% of revenue compared to 20.7% of revenue in the first quarter of 2024.Adjusted EBITDA for the first quarter of 2025 increased by 56.2% to $5.7 million (13.6% of revenue) compared to $3.7 million (10.8% of revenue) in the first quarter of 2024.Operating income for the first quarter of 2025 increased by 89.0% to $4.2 million (9.9% of revenue) compared to $2.2 million (6.5% of revenue) in the first quarter of 2024.Net income for the first quarter of 2025 increased by 80.7% to $3.8 million compared to a net income of $2.1 million in the first quarter of 2024.Cash flow from operating activities was negative ($4.9) million in the first quarter of 2025 compared to negative ($3.5) million in the first quarter of 2024.

Mr. Igal Zamir, TAT’s CEO and President, commented: “Driven by strong execution and robust market demand, TAT Technologies continues to demonstrate its earnings power. During the first quarter, we delivered revenue growth of 23.6% and an increase of 56.2% in adjusted EBITDA, compared to the same period in 2024, expanding our bottom line even more rapidly than our top line. TAT has developed a multi-year track record of consistent profitability, delivering double-digit year-over-year growth for the last three years, while expanding profit margins.”

“Our strategic growth initiatives, implemented over the past few years, have significantly expanded our addressable market and diversified our revenue streams,” continued Mr. Zamir. “Despite industry wide supply chain challenges, our ‘Customer First’ initiative, which includes bolstering parts and rotatable inventory in key areas, enabled us to achieve our financial goals, fulfill customer demand, and strengthen our market position. While we expanded inventory levels and utilized additional cash, these strategic investments enhance our resilience and position us to capture market share in a dynamic supply environment.”

“In the first quarter, we secured over $52 million in new orders and long-term agreements, bringing our total backlog to $439 million.  This provides us with strong visibility and confidence in our continued growth and profitability. While broader market dynamics may influence near-term order flow, the demand for our expertise and capacity remains robust, positioning us well to further expand our backlog throughout the year.”

“To mitigate the evolving trade policy landscape, we’re closely monitoring recent tariff changes and taking measured steps to minimize any impact on our operations. Our teams are in active, solution-focused discussions with key suppliers to ensure material flow remains uninterrupted and cost increases are controlled. At the same time, we’re working closely with our customers to align expectations, adjust planning as needed, and maintain the high service levels they rely on.”

Non-GAAP Financial Measures

To supplement the consolidated financial statements presented in accordance with GAAP, the Company also presents Adjusted EBITDA. The adjustments to the Company’s GAAP results are made with the intent of providing both management and investors with a more complete understanding of the Company’s underlying operational results, trends, and performance. The Adjusted EBITDA is calculated as net income, excluding the impact of: the Company’s share in profit of equity investment of affiliated companies, share-based compensation, provision for income taxes, financial (expenses) income, net, and depreciation and amortization. The Adjusted EBITDA, however, should not be considered as an alternative to net income and operating income for the period and may not be indicative of the historic operating results of the Company; nor is it meant to be predictive of potential future results. The Adjusted EBITDA is not a measure of financial performance under generally accepted accounting principles and may not be comparable to other similarly titled measures for other companies. See reconciliation of Adjusted EBITDA below.

Investor Call Information

TAT Technologies will host a webcast to review the quarterly results on Tuesday, May 20, 2025, at 8:30 a.m. ET. Interested investors can register for the webcast at the link below or visit the investor relations section of the Company’s website at https://tat-technologies.com/investors/

Conference call

About TAT Technologies LTD

TAT Technologies Ltd. is a leading provider of services and products to the commercial and military aerospace and ground defense industries. TAT operates under four segments: (i) Original equipment manufacturing (“OEM”) of heat transfer solutions and aviation accessories through its Gedera facility; (ii) MRO services for heat transfer components and OEM of heat transfer solutions through its Limco subsidiary; (iii) MRO services for aviation components through its Piedmont subsidiary; and (iv) Overhaul and coating of jet engine components through its Turbochrome subsidiary. TAT’s controlling shareholder is the FIMI Private Equity Fund.

TAT’s activities in the area of OEM of heat transfer solutions and aviation accessories primarily include the design, development and manufacture of (i) broad range of heat transfer solutions, such as pre-coolers heat exchangers and oil/fuel hydraulic heat exchangers, used in mechanical and electronic systems on board commercial, military and business aircraft; (ii) environmental control and power electronics cooling systems installed on board aircraft in and ground applications; and (iii) a variety of other mechanical aircraft accessories and systems such as pumps, valves, and turbine power units.

TAT’s activities in the area of MRO Services for heat transfer components and OEM of heat transfer solutions primarily include the MRO of heat transfer components and to a lesser extent, the manufacturing of certain heat transfer solutions. TAT’s Limco subsidiary operates an FAA-certified repair station, which provides heat transfer MRO services for airlines, air cargo carriers, maintenance service centers and the military.

TAT’s activities in the area of MRO services for aviation components include the MRO of APUs, landing gears and other aircraft components. TAT’s Piedmont subsidiary operates an FAA-certified repair station, which provides aircraft component MRO services for airlines, air cargo carriers, maintenance service centers and the military.

TAT’s activities in the area of overhaul and coating of jet engine components includes the overhaul and coating of jet engine components, including turbine vanes and blades, fan blades, variable inlet guide vanes and afterburner flaps.

For more information about TAT Technologies Ltd., please visit our website:
www.tat-technologies.com

Contact:
Mr. Eran Yunger
Director of IR
erany@tat-technologies.com 

Safe Harbor for Forward-Looking Statements

This press release contains forward-looking statements which include, without limitation, statements regarding possible or assumed future operation results. These statements are hereby identified as “forward-looking statements” for purposes of the safe harbor provided by the Private Securities Litigation Reform Act of 1995. These forward-looking statements involve risks and uncertainties that could cause our results to differ materially from management’s current expectations. Actual results and performance can also be influenced by other risks that we face in running our operations including, but are not limited to, general business conditions in the airline industry, changes in demand for our services and products, the timing and amount or cancellation of orders, [LTAs] and backlog, the price and continuity of supply of component parts used in our operations, and other risks detailed from time to time in the Company’s filings with the Securities Exchange Commission, including, its annual report on form 20-F and its periodic reports on form 6-K. These documents contain and identify other important factors that could cause actual results to differ materially from those contained in our projections or forward-looking statements. Shareholders and other readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date on which they are made. We undertake no obligation to update publicly or revise any forward-looking statement.

TAT TECHNOLOGIES LTD. AND ITS SUBSIDIARIES

CONDENSED CONSOLIDATED BALANCE SHEET

(In thousands)

March 31,

December 31,

2025

2024

(unaudited)

(audited)

ASSETS

CURRENT ASSETS:

Cash and cash equivalents

$    5,020

$          7,129

Accounts receivable, net of allowance for credit losses of $350

   and $400 thousand as of March 31, 2025 and December 31, 2024,

   respectively 

33,223

29,697

Inventory

72,980

68,540

Prepaid expenses and other current assets

8,375

7,848

Total current assets

119,598

113,214

NON-CURRENT ASSETS:

Property, plant and equipment, net

42,474

41,576

Operating lease right of use assets

2,115

2,282

Intangible assets, net

1,633

1,553

Investment in affiliates

3,722

2,901

Funds in respect of employee rights upon retirement

641

654

Deferred income taxes

358

877

Restricted deposit

315

305

Total non-current assets

51,258

50,148

Total assets

$   170,856

$       163,362

LIABILITIES AND STOCKHOLDERS’ EQUITY

CURRENT LIABILITIES:

Current maturities of long-term loans

$    1,976

$         2,083

Short-term loans

10,719

4,350

Accounts payable

12,592

12,158

Accrued expenses and other

15,572

18,594

Current maturities of operating lease liabilities

839

939

Total current liabilities

41,698

38,124

NON-CURRENT LIABILITIES:

    Long-term loans

10,391

10,938

Liability in respect of employee rights upon retirement

966

986

Operating lease liabilities

1,269

1,345

 Total non-current liabilities

12,626

13,269

Total liabilities

54,324

51,393

STOCKHOLDERS’ EQUITY:

Share capital, no par value

Additional paid-in capital

89,919

89,697

Treasury stock at cost

(2,088)

(2,088)

Accumulated other comprehensive income (loss)

452

(76)

Retained earnings

28,249

24,436

Total shareholders’ equity

116,532

111,969

    Total liabilities and stockholders’ equity

$  170,856

$     163,362

 

 

TAT TECHNOLOGIES LTD. AND ITS SUBSIDIARIES

CONDENSED CONSOLIDATED STATEMENTS OF INCOME

(In thousands, except share and per share data)

Three months ended

Year ended

March 31,

December 31,

2025

2024

2024

(Unaudited)

(Unaudited)

(Audited)

Revenues:

Products

$         12,724

$      11,935

$    47,710

Services

29,418

22,153

104,406

42,142

34,088

152,116

 Cost of goods:

 Products

8,331

8,986

33,986

 Services

23,857

18,036

85,116

32,188

27,022

119,102

 Gross profit

9,954

7,066

33,014

Operating expenses:

  Research and development, net

324

277

1,248

  Selling and marketing, net

1,928

1,660

7,746

  General and administrative, net

3,532

3,309

11,901

  Other income

(388)

(383)

5,784

4,858

20,512

Operating income

4,170

2,208

12,502

Interest expenses

(335)

(343)

(1,472)

Other financial income

  (expenses), net

277

(106)

(477)

Income before taxes on income

   (taxes benefit)

4,112

1,759

10,553

Provision for taxes on income

   (taxes benefit)

592

(153)

195

Profit before share of equity

   investment

3,520

1,912

10,358

Share in profits of equity investment

   of affiliated companies

293

198

809

 

Net income 

$          3,813

$         2,110

$            11,167

Basic and diluted earnings per share:

    Basic

$             0.35

$           0.20

$               1.08

    Diluted

$             0.34

$           0.19

$               1.00

Weighted average number of shares outstanding:

Basic 

10,940,358

10,378,978

10,363,978

Diluted

11,211,271

10,554,351

11,215,827

 

 

TAT TECHNOLOGIES LTD. AND ITS SUBSIDIARIES

CONSOLIDATED STATEMENTS OF COMPREHENSIVE INCOME

(In thousands)

Three months ended

Year ended

March 31,

December 31,

2025

2024

2024

(Unaudited)

(Unaudited)

(Audited)

Net income

$    3,813

$         2,110

$       11,167

Other comprehensive income (loss), net

Net unrealized losses from derivatives

(27)

(27)

Change in foreign currency translation adjustments                            

528

(76)

Total comprehensive income 

$     4,341

$        2,083

$       11,064

 

 

TAT TECHNOLOGIES LTD. AND ITS SUBSIDIARIES

CONDENSED CONSOLIDATED STATEMENTS OF CHANGES IN EQUITY

(In thousands, except share data)

Share capital

Accumulated

Number of

 shares issued

Amount

Additional

paid-in

capital

other

comprehensive

income (loss)

Treasury

shares

Retained

earnings 

Total equity

BALANCE AT DECEMBER 31, 2023

10,377,085

3,140

76,335

27

(2,088)

13,269

90,683

CHANGES DURING THE YEAR ENDED

   DECEMBER 31, 2024:

Comprehensive income (loss)

(103)

11,167

11,064

Exercise of option

164,406

12

(12)

Cancel of shares par value

(3,152)

3,152

Issuance of common shares net of issuance costs of $162

   thousands

673,340

9,827

9,827

Share based compensation

395

395

BALANCE AT DECEMBER 31, 2024

11,214,831

89,697

(76)

(2,088)

24,436

111,969

CHANGES DURING THE PERIOD ENDED

   MARCH 31, 2025 (unaudited):

Comprehensive income

528

3,813

4,341

Share based compensation 

222

222

BALANCE AT MARCH 31, 2025 (unaudited)

11,214,831

$         –

$              89,919

$                 452

$      (2,088)

$       28,249

$116,532

 

 

TAT TECHNOLOGIES LTD. AND ITS SUBSIDIARIES

CONDENSED CONSOLIDATED STATEMENTS OF CASH FLOWS

(In thousands)

Three months ended

Year ended

March 31,

December 31,

2025

2024

2024

(Unaudited)

(Unaudited)

(audited)

CASH FLOWS FROM OPERATING ACTIVITIES:

Net income 

$     3,813

$     2,110

$    11,167

Adjustments to reconcile net income to net cash used in

   operating activities:

Depreciation and amortization

1,305

1,374

5,455

Loss from change in fair value of derivatives

22

22

Change in funds in respect of employee rights upon retirement

13

5

10

Net change in operating right of use asset and operating lease

   liability

(9)

4

18

Non-cash financial expenses

(83)

(214)

(187)

Decrease in restructuring plan provision

(20)

(63)

Change in allowance for credit losses

(50)

55

Share in profits of equity investment of affiliated companies

(293)

(198)

(809)

Share based compensation

222

41

395

Liability in respect of employee rights upon retirement

(20)

3

(14)

Gain on disposal of property, plant and equipment

(354)

(478)

Deferred income taxes, net

519

(409)

117

Changes in operating assets and liabilities:

     Increase in trade accounts receivable

(3,476)

(820)

(9,743)

     Increase in prepaid expenses and other current assets

(527)

(181)

(1,473)

     Increase in inventory

(3,861)

(2,637)

(17,165)

     Increase (decrease) in trade accounts payable

434

(700)

2,170

     Increase (decrease) in accrued expenses and other

(3,022)

(1,573)

4,705

Net cash used in operating activities

(5,035)

(3,547)

(5,818)

CASH FLOWS FROM INVESTING ACTIVITIES:

 Proceeds from sale of property and equipment

1,306

1,275

 Purchase of property and equipment

(2,862)

(989)

(5,126)

 Purchase of intangible assets

Net cash provided by (used in) investing activities

(2,862)

317

(3,851)

CASH FLOWS FROM FINANCING ACTIVITIES:

Repayments of long-term loans

(571)

(440)

(2,016)

Net change in short term credit from banks

6,369

(4,000)

(7,650)

Proceeds from issuance of common shares, net

9,827

Exercise of options

1

Net cash provided by (used in) financing activities

5,798

(4,439)

161

Net decrease in cash and cash equivalents and

  restricted cash

(2,099)

(7,669)

(9,508)

Cash and cash equivalents and restricted cash at beginning

  of period

7,434

16,942

16,942

Cash and cash equivalents and restricted cash at the end of

  period

$   5,335

$       9,273

$    7,434

SUPPLEMENTARY INFORMATION ON INVESTING

  ACTIVITIES NOT INVOLVING CASH FLOW:

Additions to operating lease right-of-use assets and operating

  lease liabilities

147

345

983

Reclassification between inventory and property, plant and

  equipment

579

60

155

Supplemental disclosure of cash flow information:

Interest paid

267

(442)

(1,400)

Income taxes paid

(39)

 

 

TAT TECHNOLOGIES LTD. AND ITS SUBSIDIARIES

 RECONCILIATION OF NET INCOME TO ADJUSTED EBITDA (NON-GAAP)  (UNAUDITED)

(In thousands)

Three months ended

Year ended

March 31,

December 31,

2025

2024

2024

Net income

$         3,813

$              2,110

$            11,167

Adjustments:

Provision for income taxes (taxes benefit)

592

(153)

195

Financial expense, net

58

449

1,949

Depreciation and amortization

1,353

1,428

5,717

       Share based compensation

222

41

395

       Share in profits of equity investment of

       affiliated companies

(293)

(198)

(809)

Adjusted EBITDA

$        5,745

$              3,677

$            18,614

 

View original content:https://www.prnewswire.com/news-releases/tat-technologies-reports-first-quarter-2025-results-302459605.html

SOURCE TAT Technologies Ltd

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BinBase Expands 2026 BIN Dataset with Instant Payout Intelligence for iGaming, Gambling, and Cross-Border Transfers

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BinBase updates its 2026 dataset with specialized Fast Funds, Visa Direct, and Mastercard MoneySend indicators to help iGaming operators and payout platforms execute seamless, instant card disbursements.

MIAMI, July 23, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment routing intelligence and card issuing data, has introduced specialized instant payout indicators as part of its upgraded 2026 BIN Database. Tailored for iGaming operators, online gambling platforms, crypto-to-fiat ramps, and payout aggregators, the updated dataset helps platform engineers streamline real-time card disbursements and Push-to-Card (P2C) transactions.

In high-velocity sectors such as online betting and gaming, instantaneous player payouts are a primary driver of customer retention. However, executing Push-to-Card transactions through protocols like Visa Direct and Mastercard MoneySend requires knowing whether the receiving card issuer supports Fast Funds for specific merchant category codes (MCCs). Attempting instant payouts on non-eligible cards leads to declined transactions, elevated processing fees, and poor user experiences.

The 2026 BinBase release solves this operational bottleneck by delivering dedicated attributes for real-time fund disbursements:

Fast Funds Eligibility: Granular indicators identifying domestic and cross-border Fast Funds support across global Visa and Mastercard ranges.Online Gambling Fast Funds (OG FF): Dedicated flags specifically identifying card ranges authorized to receive real-time gambling and betting payouts.Mastercard MoneySend & Visa Direct Indicators: Precise protocol compatibility markers (MS Ind & MT Ind) ensuring push transactions are routed only to eligible recipient cards.Direct Debit & Pull-Funds Support: Indicators for recurring collections and account-funding transactions.

“Player payouts in iGaming cannot wait for standard 2-to-3-day ACH settlements,” said a spokesperson for Damiko Inc. “By embedding our Fast Funds and Gambling FF flags into their payment engines, operators can instantly validate recipient cards before initiating a transfer, guaranteeing high success rates and instant liquidity for their users.”

Fintech engineers and payout architects can examine the full 29-field database schema and access a free 2026 sample dataset on GitHub.

To explore commercial licensing, bulk database downloads, or custom data feeds, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133334, sales@binbase.com, www.binbase.com 

View original content:https://www.prweb.com/releases/binbase-expands-2026-bin-dataset-with-instant-payout-intelligence-for-igaming-gambling-and-cross-border-transfers-302829344.html

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Walnut Coding’s Young Coders Serve as ‘Instructors’ at Huawei Cloud Developer Training Camp

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Ages 8 and 15, students showcase AI-era project-building skills from concept to working application

BEIJING, July 23, 2026 /PRNewswire/ — Walnut Coding (the “Company”), a leading online platform for youth coding education, said two of its students – ages 8 and 15 – have joined the “instructor” lineup at Huawei Cloud Developer Training Camp, making them among the youngest “instructors” in the program’s history. The Company cites the pair as a prime example of how young learners can combine coding fundamentals with AI tools to turn ideas into working applications.

The two students, Bolin Du, 8, and Peiqi Gao, 15, built working applications using Huawei Cloud CodeArts, an AI coding assistant, then presented the projects to the training camp themselves – walking the audience through their design choices, technical builds, and debugging process.

The move lands at a moment when AI coding tools are forcing a rethink across the education sector. Tools that can generate functioning code from a plain-language prompt have undercut the traditional argument for teaching children to program – that they need the skill to build things themselves. Walnut Coding’s answer is that the more valuable skill now is judgment – knowing what problem to solve, breaking it into parts, and determining whether an AI’s output actually works.

Gao built a travel-planning application that generates routes, itineraries, and recommendations based on user input, handling the project end to end, from requirements and design through coding and debugging. Du, the younger of the two, built an interactive calendar application, using HTML for page structure, CSS for visual design, and JavaScript for interactive features. Both students then took on an instructor’s role at the camp, presenting their project goals and technical implementation to the audience – a step Walnut Coding says separated the work from a typical classroom assignment.

These were not classroom exercises but working projects, built and presented inside a professional developer-training environment. The experience demanded more from both students than simply producing something functional – they needed to articulate their reasoning, defend technical choices, and refine the final result under scrutiny. Their participation signals a broader shift underway in what youth coding education can deliver.

AI is making code generation easier, but it is also redrawing which skills actually matter. A student who relies only on one-click generation may get a rough prototype quickly, but still struggle to spot logical flaws, judge whether the output is reliable, or turn an abstract idea into a product that actually works. Students with programming foundations, by contrast, are better positioned to define requirements, evaluate what the AI produces, correct its errors, and treat the technology as a tool rather than a shortcut to lean on.

“AI can help children generate code faster, but it cannot decide for them what problem they should solve, nor can it make the final judgment about whether the result is truly effective,” said Pengxuan Zeng, founder and CEO of Walnut Coding. “What these two students demonstrated is not just coding technique, but the ability to define needs, break down tasks, verify outcomes, and turn an idea into a working product. That is why we believe young people still need to learn programming in the AI era.”

Walnut Coding structures its courses around that thesis, pairing student-led project work with teaching-assistant guidance and AI-assisted support. According to the Company, this data is continuously fed back into its systems to refine the personalization of AI-assisted feedback — a closed-loop process linking teaching, practice, feedback, and curriculum development.

The Company frames the payoffs less around producing professional software engineers than around a broader form of literacy. As AI continues to reshape how tasks get done, the ability to understand the technology, structure problems clearly and collaborate effectively with intelligent tools may prove one of the most durable skills a young learner can develop.

Walnut Coding says it plans to keep expanding opportunities for students to build practical projects, partner with industry technology platforms such as Huawei Cloud, and develop the core capabilities needed to build with technology in the AI era.

View original content:https://www.prnewswire.com/news-releases/walnut-codings-young-coders-serve-as-instructors-at-huawei-cloud-developer-training-camp-302833884.html

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MOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026

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SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, participated in AMD Advancing AI 2026, AMD’s flagship annual AI event held in San Francisco on July 22–23 (local time), where it demonstrated its distributed inference solution, the MoAI Inference Framework, running on AMD GPUs.

At the event, Moreh presented a live demonstration of the GLM-5.1 large language model (LLM) powered by the MoAI Inference Framework on a system equipped with 32 AMD Instinct™ MI300X GPUs across four nodes. Visitors experienced the chatbot firsthand, evaluating its response speed and service quality while observing performance across a range of real-world use cases.

Unlike conventional demonstrations that simply run an AI model, Moreh’s showcase displayed key inference service metrics in real time, including GPU utilization, Tokens Per Second (TPS), Time To First Token (TTFT), and Time Per Output Token (TPOT). This enabled attendees to directly verify both inference performance and GPU resource efficiency in a production-like service environment.

Global AI industry leaders and enterprise customers attending the event expressed strong interest in the system’s fast response times and stable performance. In particular, the live deployment of the computationally demanding GLM-5.1 model on AMD GPUs at production-grade service levels received positive feedback from visitors.

Moreh’s MoAI Inference Framework is widely recognized as the world’s first commercially deployed distributed inference solution built for the AMD ecosystem. Its distributed inference and heterogeneous computing technologies are designed to dramatically reduce AI service costs, enabling broader adoption of AI worldwide. The technology addresses one of the industry’s biggest challenges-the rapidly rising infrastructure and service costs caused by increasingly larger AI models-by delivering a more efficient inference infrastructure.

Moreh CEO Gangwon Jo stated, “This event provided an opportunity for global customers to verify firsthand that top-tier inference performance can be achieved on AMD GPU environments,” and added “We will continue advancing our AI infrastructure software so enterprises can operate AI services as efficiently as possible, regardless of the underlying GPU platform.”

Moreh develops its own AI infrastructure engine and has expanded its end-to-end AI capabilities through its foundation LLM subsidiary, Motif Technologies, covering both AI infrastructure and foundation models. The company is also strengthening its presence in the global AI market through strategic partnerships with leading technology companies, including AMD and Tenstorrent.

View original content to download multimedia:https://www.prnewswire.com/news-releases/moreh-showcases-high-performance-llm-inference-on-amd-gpus-at-amd-advancing-ai-2026-302833887.html

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