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TOTAL PLAY ANNOUNCES 15% GROWTH IN EBITDA, TO Ps.18,361 MILLION IN 2023

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—11% increase in revenue and 9% growth in costs and expenses in 2023, boost EBITDA margin to 45%, highest annual level since the company issues public debt—

—Subscriber base growth moderation strategy and strict financial discipline significantly strengthen Total Play’s profitability, cash flow and liquidity—

—Firm increase in the company’s cash and restricted cash balance; it grows 48%, to Ps.5,754 million at the end of the year—  

MEXICO CITY, Feb. 20, 2024 /PRNewswire/ — Total Play Telecomunicaciones, S.A.P.I. de C.V. (“Total Play”), a leading telecommunications company in Mexico that offers internet access, pay television and telephony services, through one of the largest 100% fiber optic networks in the country, today announced financial results for the fourth quarter 2023 and 2023.

“The strategy to moderate the growth of our subscriber base and initiatives that further drive operational efficiency, launched in 2023, together with the company’s strict financial discipline, notably strengthened the profitability and cash generation of Total Play during the year. Rigorous budget planning, process optimization and structures rationalization translated into lower annual growth in costs and expenses compared to revenue and in a firm 15% increase in EBITDA in 2023,” commented Eduardo Kuri, CEO of Total Play. “Capex figures, consistent with our solid strategy, allowed a significant positive balance of EBITDA less Capex – a fundamental indicator of cash flow generation – of Ps.2,735 million in 2023, notably higher than the negative figure of Ps.6,493 million a year ago.”

“Likewise, the company’s balance sheet was additionally strengthened, with a 48% growth in the cash and restricted cash balance, to Ps.5,754 million at the end of 2023, while the appropriate planning of the maturity profile allowed us to reduce debt with cost of short-term loans by 34%,” added Mr. Kuri. “Our firm strategy has translated into increasing financial strength this year and we are determined to further drive the liquidity and robustness of Total Play’s capital structure going forward.”

Fourth quarter results

Revenue for the quarter totaled Ps.10,674 million, 10% above Ps.9,736 million in the same period of the previous year. Total costs and expenses were Ps.5,938 million, compared to Ps.5,356 million the previous year.

As a result, Total Play’s EBITDA grew 8%, to Ps.4,736 million, from Ps.4,380 million a year ago; the EBITDA margin for the quarter was 44%. The company recorded operating income of Ps.605 million, compared to Ps.747 million a year ago.

Total Play reported a net loss of Ps.1,024 million, from a loss of Ps.438 million in the same quarter of 2022.

    Q4 2022 

    Q4 2023 

   Change 

Ps. 

%

Revenue from services 

$9,736

$10,674

$938

10 %

EBITDA       

$4,380

$4,736

$356

8 %

Operating income 

 

Net result       

$747 

  

$(438) 

$605

  

$(1,024) 

$(142) 

  

$(586) 

-19% 

  

-134% 

Amounts in millions of pesos.
EBITDA: Earnings before interest, depreciation, and amortization.

Service revenue

The company’s revenue grew 10%, as a result of a 7% increase in sales in the residential segment, and a 29% increase in revenue from the corporate business.

Totalplay Residencial’s revenue growth, to Ps.8,945 million, compared to Ps.8,398 million the previous year, is related to a 10% increase in the number of subscribers of the company’s services in the year, to reach 4,779,480 — a figure that includes 69,554 small and medium-sized businesses — at the end of 2023. Compared to the previous quarter, the number of net additions grew by 85,774 users, in line with Total Play’s subscriber base growth moderation strategy.

The quarter’s average revenue per subscriber (ARPU) was Ps.616, from Ps.617 a year ago.

As previously announced, in the first quarter of the year the company’s investment program in geographic expansion concluded, given that the territory in which its target market is located throughout the country was reached. According to this, the number of homes passed in Mexico at the end of this period was 17,556,755, a figure with minor variations during 2023. Compared to the same quarter of 2022 — in which the number of homes passed was 17,332,265 — the growth was 1%.

Penetration — proportion of homes passed by Total Play that have the company’s telecommunications services — was 27.2% at the end of the quarter, up from 25.2% a year ago.

Revenue from the business segment was Ps.1,729 million, from Ps.1,338 million the previous year, due to the implementation of various projects by business organizations this quarter.

Costs and expenses

Total costs and expenses grew 11%, as a result of a 19% increase in service costs and a 7% growth in general expenses.

The increase in expenses, to Ps.3,874 million, from Ps.3,627 million, reflects higher maintenance and fee expenses — in the context of growing operations in the company —partially offset by reduction in personnel and advertising expenses, derived from strategies that generate strong operational efficiencies.

The increase in costs, to Ps.2,064 million, from Ps.1,729 million the previous year results mainly from increased costs of content and business projects, partially offset by lower costs of licenses and interconnection links.

EBITDA and net result

Total Play’s EBITDA was Ps.4,736 million, 8% higher compared to Ps.4,380 million the previous year.

Relevant variations below EBITDA were the following:

Increase of Ps.498 million in depreciation and amortization, mainly as a result of subscriber acquisition costs — telecommunication equipment, labor and installation expenses.

Growth of Ps.172 million in interest expense, consistent with the increase in the balance of financial debt.

Decrease of Ps.636 million in foreign exchange gains, as a consequence of net liability monetary position in foreign currency, together with lower appreciation of the peso against the basket of currencies in which the company’s monetary liabilities are denominated this quarter, compared to the previous year.

Total Play reported a net loss of Ps.1,024 million, from a loss of Ps.438 million in the same period of 2022.

Balance sheet

As of December 31, 2023, the company’s debt with cost was Ps.52,199 million, compared to Ps.49,533 million the previous year. The growth of the debt balance is related to credits with financial institutions during the period.

Consistent with the strategy to expand the company’s maturity profile, the balance of debt with cost for short-term loans was reduced 34%, to Ps.4,573 million, from Ps.6,973 million a year ago.

The lease liability was Ps.5,665 million, 20% lower compared to Ps.7,073 million the previous year.

The balance of cash and cash equivalents, as well as restricted cash in trusts totaled Ps.5,754 million, 48% higher compared to Ps.3,878 million a year ago. As a result, the company’s net debt was Ps.52,110 million, 1% lower than Ps.52,728 million the previous year.

Total Play’s fixed assets — which include the accumulated investment in fiber optics, telecommunications equipment, and the cost of acquiring subscribers, among other assets — were Ps.61,946 million, 7% above Ps.58,165 million a year ago.

Twelve-month results

Revenue for 2023 was Ps.40,503 million, 11% above Ps.36,352 million from the previous year, within the framework of growth of 13% in residential income, to Ps.34,586 million, and 2% in business income, to Ps.5,917 million.

Total costs and expenses grew 9%, to Ps.22,142 million, from Ps.20,384 million, as a result of a 12% increase in general expenses and a 3% increase in service costs. Total costs and expenses grow at a lower rate than income as a result of strict compliance with budgets and strategies that generate operational efficiencies throughout the company.

Total Play reported EBITDA of Ps.18,361 million, 15% above the Ps.15,968 million of the previous year; The EBITDA margin was 45%, one percentage point above the previous year. Operating income was Ps.2,316 million, from a profit of Ps.3,097 million in 2022.

The company recorded a net loss of Ps.3,147 million, compared to a loss of Ps.2,251 million a year ago.

2022

2023

   Change 

Ps. 

%

Revenue from services 

$36,352

$40,503

$4,151

11 %

EBITDA       

$15,968

$18,361

$2,393

15 %

Operating income 

  

Net result       

$3,097 

  

$(2,251) 

$2,316 

  

$(3,147) 

$(781) 

  

$(896) 

-25% 

  

-40% 

Amounts in millions of pesos.
EBITDA: Earnings before interest, depreciation, and amortization. 

About Total Play

Total Play is a leading Triple Play provider in Mexico that, thanks to the widest direct-to-home fiber optic network in the country, offers entertainment and technologically advanced services with the highest quality and speed in the market. For the latest news and updates about Total Play, visit: www.totalplay.com.mx.

Total Play is a Grupo Salinas company (www.gruposalinas.com), a group of dynamic, fast-growing, and technologically advanced companies focused on creating economic value through market innovation and goods and services that improve standards of living; social value to improve community well-being; and environmental value by reducing the negative impact of its business activities. Created by Mexican entrepreneur Ricardo B. Salinas (www.ricardosalinas.com), Grupo Salinas operates as a management development and decision forum for the top leaders of member companies. Each of the Grupo Salinas companies operates independently, with its own management, board of directors, and shareholders. Grupo Salinas has no equity holdings. The group of companies shares a common vision, values, and strategies for achieving rapid growth, superior results, and world-class performance.

Except for historical information, the matters discussed in this press release are concepts about the future that involve risks and uncertainty that may cause actual results to differ materially from those projected. Other risks that may affect Total Play and its subsidiaries are presented in documents sent to the securities authorities.

Investor Relations:

Bruno Rangel
+ 52 (55) 1720 9167
jrangelk@totalplay.com.mx 

Rolando Villarreal
+ 52 (55) 1720 9167
rvillarreal@totalplay.com.mx 

Press Relations:

Luciano Pascoe
Tel. +52 (55) 1720 1313 ext. 36553
lpascoe@gruposalinas.com.mx 

 

TOTAL PLAY TELECOMUNICACIONES, S.A.P.I.  DE C.V. AND SUBSIDIARIES

CONSOLIDATED QUARTERLY INCOME STATEMENTS

(Millions of Mexican pesos)

4Q22

4Q23

Change

$

%

$

%

$

%

Revenue from services

9,736

100 %

10,674

100 %

938

10 %

Cost of services

(1,729)

(18 %)

(2,064)

(19 %)

(335)

(19 %)

Gross profit

8,007

82 %

8,610

81 %

603

8 %

General expenses

(3,627)

(37 %)

(3,874)

(36 %)

(247)

(7 %)

EBITDA

4,380

45 %

4,736

44 %

356

8 %

Depreciation and amortization

(3,633)

(37 %)

(4,131)

(39 %)

(498)

(14 %)

Operating profit 

747

8 %

605

6 %

(142)

(19 %)

Financial cost:

Interest revenue

38

0 %

53

0 %

15

39 %

Change in fair value of financial instruments

(216)

(2 %)

(113)

(1 %)

103

48 %

Accrued interest expense

(1,289)

(13 %)

(1,461)

(14 %)

(172)

(13 %)

Other financial expenses

(99)

(1 %)

(54)

(1 %)

45

45 %

Foreign exchange gain – Net

1,248

13 %

612

6 %

(636)

(51 %)

(318)

(3 %)

(963)

(9 %)

(645)

n.m. 

Equity interest in net results of non-controlling entities

(1)

(0 %)

0 %

1

100 %

Profit (Loss) before income tax provisions

428

4 %

(358)

(3 %)

(786)

(184 %)

Income tax provision

(885)

(9 %)

(666)

(6 %)

219

25 %

Net loss before non-controlling interest

(457)

(5 %)

(1,024)

(10 %)

(567)

(124 %)

Non-controlling interest

19

0 %

0 %

(19)

(100 %)

Net Loss for the period

(438)

(4 %)

(1,024)

(10 %)

(586)

(134 %)

 

TOTAL PLAY TELECOMUNICACIONES, S.A.P.I. DE C.V. AND SUBSIDIARIES

CONSOLIDATED ACCUMULATED INCOME STATEMENTS

(Millions of Mexican pesos)

Accumulated

Accumulated

12M22

12M23

Change

$

%

$

%

$

%

Revenue from services

36,352

100 %

40,503

100 %

4,151

11 %

Cost of services

(7,588)

(21 %)

(7,801)

(19 %)

(213)

(3 %)

Gross profit

28,764

79 %

32,702

81 %

3,938

14 %

General expenses

(12,796)

(35 %)

(14,341)

(35 %)

(1,545)

(12 %)

EBITDA

15,968

44 %

18,361

45 %

2,393

15 %

Depreciation and amortization

(12,871)

(35 %)

(16,045)

(40 %)

(3,174)

(25 %)

Operating profit

3,097

9 %

2,316

6 %

(781)

(25 %)

Financial cost:

Interest revenue

98

0 %

191

0 %

93

95 %

Change in fair value of financial instruments

(358)

(1 %)

(576)

(1 %)

(218)

(61 %)

Accrued interest expense

(4,228)

(12 %)

(5,528)

(14 %)

(1,300)

(31 %)

Other financial expenses

(254)

(1 %)

(393)

(1 %)

(139)

(55 %)

Foreign exchange gain – Net

1,337

4 %

3,384

8 %

2,047

153 %

(3,405)

(9 %)

(2,922)

(7 %)

483

14 %

Equity interest in net results of non-controlling entities

(1)

(0 %)

(19)

(0 %)

18

n.m.

Profit (Loss) before income tax provisions

(309)

(1 %)

(625)

(2 %)

(316)

(102 %)

Income tax provision

(1,969)

(5 %)

(2,522)

(6 %)

553

28 %

Net loss before non-controlling interest

(2,278)

(6 %)

(3,147)

(8 %)

(869)

(38 %)

Non-controlling interest

27

0 %

0 %

27

100 %

Net Loss for the period

(2,251)

(6 %)

(3,147)

(8 %)

(896)

(40 %)

 

TOTAL PLAY TELECOMUNICACIONES, S.A.P.I. DE C.V. AND SUBSIDIARIES

CONSOLIDATED BALANCE SHEETS

(Millions of Mexican pesos)

As of December 31,

2022

2023

Change

$

%

$

%

$

%

Assets

CURRENT ASSETS

Cash and cash equivalents

1,890

2 %

2,377

3 %

487

26 %

Restricted cash in trusts

1,988

2 %

3,377

4 %

1,389

70 %

Customers – net

5,506

7 %

4,426

5 %

(1,080)

(20 %)

Other accounts receivable

236

0 %

183

0 %

(53)

(22 %)

Recoverable taxes

3,810

5 %

4,141

5 %

331

9 %

Related parties

310

0 %

367

0 %

57

18 %

Inventories

2,342

3 %

2,926

3 %

584

25 %

Prepaid expenses

908

1 %

514

1 %

(394)

(43 %)

Total current assets

16,990

20 %

18,311

21 %

1,321

8 %

NON-CURRENT ASSETS

Related parties

154

0 %

237

0 %

83

54 %

Property, plant and equipmente – Net

58,165

70 %

61,946

71 %

3,781

7 %

Rights-of-use assets -Net

6,703

8 %

4,780

5 %

(1,923)

(29 %)

Trademarks and other assets

1,368

2 %

2,171

2 %

803

59 %

Total non-current assets

66,390

80 %

69,134

79 %

2,744

4 %

Total assets

83,380

100 %

87,445

100 %

4,065

5 %

Liabilities and Stockholders’ Equity

SHORT-TERM LIABILITIES

Financial debt

6,973

8 %

4,573

5 %

(2,400)

(34 %)

Lease liabilities

2,108

3 %

2,338

3 %

230

11 %

Trade payables

10,751

13 %

13,373

15 %

2,622

24 %

Reverse factoring

2,691

3 %

2,234

3 %

(457)

(17 %)

Other payables and payable taxes

2,446

3 %

1,473

2 %

(973)

(40 %)

Related parties

365

0 %

1,012

1 %

647

177 %

Liabilities from contracts with customers

986

1 %

994

1 %

8

1 %

Interest payable

385

0 %

316

0 %

(69)

(18 %)

Derivative financial instruments

126

0 %

175

0 %

49

39 %

Total short-term liabilities

26,831

32 %

26,488

30 %

(343)

(1 %)

LONG-TERM LIABILITIES

Financial debt

42,560

51 %

47,626

54 %

5,066

12 %

Lease liabilities

4,965

6 %

3,327

4 %

(1,638)

(33 %)

Derivative financial instruments

764

1 %

1,442

2 %

678

89 %

Employee benefits

49

0 %

74

0 %

25

51 %

Deferred income tax

2,355

3 %

5,253

6 %

2,898

123 %

Total long-term liabilities

50,693

61 %

57,722

66 %

7,029

14 %

Total liabilities

77,524

93 %

84,210

96 %

6,686

9 %

STOCKHOLDERS’ EQUITY

5,856

7 %

3,235

4 %

(2,621)

(45 %)

Total liabilities and stockholders’ equity

83,380

100 %

87,445

100 %

4,065

5 %

 

TOTAL PLAY TELECOMUNICACIONES, S.A.P.I. DE C.V. AND SUBSIDIARIES

CONSOLIDATED STATEMENTS OF CASH FLOWS

(Millions of Mexican pesos)

12th months period ended

December 31,

2022

2023

Operating activities:

Loss before income tax provision

(309)

(625)

Items not requiring the use of resources:

Depreciation and amortization

12,871

16,045

Employee benefits

27

16

Items related to investing or financing activities:

Accrued interest income

(98)

(191)

Accrued interest expense and other financial transactions

4,840

6,497

Unrealized foreign exchange gain

(1,299)

(3,420)

Derivative financial instruments valuation

45

Non-Controlling Participation

27

19

16,104

18,341

Resources (used in) generated by operating activities:

Customers and unearned revenue

(1,134)

1,087

Other receivables

(91)

53

Related parties, net

(91)

388

Taxes to be recovered

244

(330)

Inventories

(462)

(584)

Advance payments

(442)

394

Trade payables

3,253

2,401

Other payables

440

(952)

Cash flows generated by operating activities

17,821

20,798

Investing activities: 

Acquisition of property, plant and equipment

(22,461)

(15,626)

Other assets

82

(53)

Collected interest

98

191

Cash flows (used in) investing activities

(22,281)

(15,488)

Financing activities:

Capital contributions

122

Loans received

8,726

6,034

Leasing cash flows

(3,075)

(2,650)

Restricted Cash in Trusts

(1,101)

(1,389)

Reverse factoring

1,422

(457)

Derivative financial instruments

(1,012)

Interest payment

(3,910)

(5,349)

Cahs flows generated by (used in) financing activities

2,184

(4,823)

Net (decrease) increase in cash and cash equivalents

(2,276)

487

Cash and cash equivalents at the beginning of the year 

4,166

1,890

Cash and cash equivalents at the end of the year 

1,890

2,377

 

 

View original content:https://www.prnewswire.com/news-releases/total-play-announces-15-growth-in-ebitda-to-ps18-361-million-in-2023–302066709.html

SOURCE Total Play Telecomunicaciones, S.A.P.I. de C.V.

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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

SOURCE BinBase

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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.

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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.

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