MMA (NYSE American: MMA) has launched its proprietary “Get Paid to Train” utility token on the Solana testnet and begun validation testing of AI-driven tokenomics, staking, XP and rewards. The company is using NVIDIA GPU-accelerated infrastructure (TensorRT, CUDA, DGX Cloud) to benchmark large-scale model inference, real-time fight analytics, and performance scalability. The testnet will collect XP, verified training data, and AI insights to inform governance and reward calibration. Mainnet is targeted for Q1–Q2 2026, subject to audits and testing outcomes.
MMA (NYSE American: MMA) ha lanciato il proprio token di utilità proprietario “Get Paid to Train” sulla testnet Solana e ha avviato i test di validazione di una tokenomica guidata dall’IA, staking, XP e premi. L’azienda sta usando infrastruttura accelerata da GPU NVIDIA (TensorRT, CUDA, DGX Cloud) per valutare l’inferenza di modelli su larga scala, analisi delle superfici di combattimento in tempo reale e scalabilità delle prestazioni. La testnet raccoglierà XP, dati di addestramento verificati e intuizioni IA per orientare la governance e la calibrazione dei premi. La mainnet è prevista nel primo semestre del 2026, soggetto ad audit e risultati dei test.
MMA (NYSE American: MMA) ha lanzado su token de utilidad propietario “Get Paid to Train” en la testnet de Solana y ha iniciado pruebas de validación de una tokenomía impulsada por IA, staking, XP y recompensas. La empresa está utilizando infraestructura acelerada por GPU NVIDIA (TensorRT, CUDA, DGX Cloud) para evaluar la inferencia de modelos a gran escala, analítica de combate en tiempo real y escalabilidad del rendimiento. La testnet recopilará XP, datos de entrenamiento verificados e ideas de IA para informar la gobernanza y la calibración de recompensas. La mainnet está prevista para el Q1–Q2 de 2026, sujeto a auditorías y resultados de pruebas.
MMA (NYSE American: MMA)는 자사의 독점적 유틸리티 토큰 “Get Paid to Train”을 Solana 테스트넷에 시작하고 AI 기반 토큰 이코노미, 스테이킹, XP 및 보상에 대한 검증 테스트를 시작했습니다. 이 회사는 NVIDIA GPU 가속 인프라(TensorRT, CUDA, DGX Cloud)를 사용하여 대규모 모델 추론, 실시간 전투 분석 및 성능 확장성을 벤치마킹합니다. 테스트넷은 XP, 검증된 훈련 데이터 및 AI 인사이트를 수집해 거버넌스 및 보상 보정에 반영합니다. 메인넷은 2026년 1분기~2분기에 목표이며, 감사 및 테스트 결과에 따라 달라질 수 있습니다.
MMA (NYSE American: MMA) a lancé son jeton utilitaire propriétaire “Get Paid to Train” sur le réseau de test Solana et a commencé les tests de validation de la tokenomique IA, du staking, du XP et des récompenses. L’entreprise utilise une infrastructure accélérée par GPU NVIDIA (TensorRT, CUDA, DGX Cloud) pour effectuer des benchmarks d’inférence de modèles à grande échelle, d’analyses en temps réel des combats et de la scalabilité des performances. Le testnet collectera du XP, des données d’entraînement vérifiées et des insights IA pour éclairer la gouvernance et l’ajustement des récompenses. La mainnet est visée pour le premier et le deuxième trimestre 2026, sous réserve des audits et des résultats des tests.
MMA (NYSE American: MMA) hat sein proprietäres Utility-Token „Get Paid to Train“ auf dem Solana-Testnetz gestartet und Validierungstests der KI-gesteuerten Tokenomik, Staking, XP und Belohnungen eingeleitet. Das Unternehmen verwendet NVIDIA-GPU-beschleunigte Infrastruktur (TensorRT, CUDA, DGX Cloud), um Modellinferenz in großem Maßstab, Echtzeit-Kampfanalytik und Leistungs-Skalierbarkeit zu benchmarken. Das Testnetz wird XP, verifizierte Trainingsdaten und KI-Einblicke sammeln, um Governance und Belohnungskalibrierung zu informieren. Das Mainnet ist für Q1–Q2 2026 vorgesehen, vorbehaltlich Audits und Testergebnissen.
MMA (NYSE American: MMA) أطلق رمز الاستخدام المملوك الخاص به “Get Paid to Train” على شبكة اختبار Solana وبدأ اختبارات التحقق من صحة الرمز الاقتصادي المدعوم بالذكاء الاصطناعي، والتخزين، وXP والمكافآت. تستخدم الشركة بنية تحتية مدعومة بـ GPU من NVIDIA (TensorRT، CUDA، DGX Cloud) لقياس استدلال النماذج على نطاق واسع، وتحليلات القتال في الوقت الفعلي، وقابلية التوسع في الأداء. ستجمع شبكة الاختبار XP، وبيانات التدريب الموثقة، وإشارات AI لإبلاغ الحوكمة ومعايرة المكافآت. المخطط للـMainnet للفترة من الربع الأول حتى الربع الثاني 2026، رهناً بالتدقيق ونتائج الاختبار.
MMA (NYSE American: MMA) 已在Solana 测试网上推出其自有的实用型代币“Get Paid to Train”，并开始对 AI 驱动的代币经济、质押、XP 与奖励进行验证测试。公司使用NVIDIA GPU 加速基础设施（TensorRT、CUDA、DGX Cloud）对大规模模型推理、实时战斗分析和性能可扩展性进行基准测试。测试网将收集 XP、经验证的训练数据和 AI 洞察，以用于治理和奖励校准。主网计划在 2026 年第一至第二季度上线，需通过审计与测试结果。
Positive
Solana testnet minting started on Oct 20, 2025
Mainnet deployment targeted for Q1–Q2 2026
NVIDIA GPU integration for scalable AI inference
Testnet enables XP accumulation and staking validation
Negative
Mainnet timing dependent on successful audits and tests
Tokenomics validated only on testnet, not live markets
Reliance on third‑party AI providers creates integration risk
Insights
Testnet minting and staking validation materially advances MMA.INC’s path to a tokenised engagement economy ahead of mainnet.
The Solana testnet mint allows the company to stress-test core on-chain mechanics: minting, staking, XP accumulation and rewards distribution. Successful validation reduces key execution risks before a full launch and creates measurable outputs that can feed governance and reward calibration.
Dependencies include the outcome of audits, testnet results and successful integration of AI-derived inputs into on-chain logic; these are explicitly required before mainnet. Watch technical audit findings and the transition from Solana testnet to mainnet timing, currently targeted for Q1–Q2 2026, as immediate milestones.
NVIDIA-backed AI validation could scale real-time analytics and gamified rewards if inference and data pipelines prove robust at scale.
Using NVIDIA GPU stacks and frameworks to evaluate model inference and real-time fight analytics addresses compute and latency constraints crucial for live XP and reward triggers. The integration aims to convert verified training and performance signals into tokenised incentives via an AI-to-chain pipeline.
Risks center on model accuracy, data verification, interoperability with other AI providers, and how AI outputs map to on-chain reward logic; these factors will shape economic balance and engagement. Monitor published audit results, public dashboards of aggregated AI insights, and the testnet data releases as near-term indicators of feasibility and integrity.
10/20/2025 – 08:25 AM
Highlights
MMA.INC launches its proprietary ‘Get Paid to Train’ utility token on the Solana testnet to stress test tokenomics, staking and reward mechanics as part of its crypto and Web 3.0 strategy.Integration of NVIDIA AI infrastructure to support large-scale fight analytics, real-time model validation, and performance scalability.AI-powered analytics to gamify participation, training and reward progression, to incentivize engagement and conversion with 700 million global fans of mixed martial arts.Testnet phase enables XP accumulation, performance tracking and AI-based insights to validate engagement loops.Data from the AI layer will inform governance, rewards calibration and ecosystem scaling.Mainnet deployment remains on track for Q1–Q2 2026, pending successful audits and testing outcomes.
New York, NY, Oct. 20, 2025 (GLOBE NEWSWIRE) — Mixed Martial Arts Group Limited (NYSE American: MMA) (“MMA” or the “Company” and doing business as MMA.INC), a technology driven ecosystem at the forefront of the global combat sports industry, announced today that it has commenced deploying its utility token on the Solana testnet, marking a pivotal step in validating the Company’s Web3 ecosystem that fuses combat sports, blockchain and artificial intelligence (“AI”).
As part of this initiative, MMA.INC has started validation testing using NVIDIA’s AI infrastructure to evaluate scalable model deployment and real-time fight data analysis. This initial integration aims to improve compute performance, boost AI-driven engagement features, and ready the MMA.INC platform for full AI-controlled operations at mainnet launch.
“Integrating AI into our Web3 ecosystem transforms MMA.INC into a living intelligence network for combat sports” said Nick Langton, Founder and CEO of MMA.INC. “We’re creating a digital layer where effort and data become currency, empowering students, athletes, fans and gyms to earn, learn and compete in a connected economy. This is designed to create a highly engaging and truly unique user experience, which we believe will attract more MMA fans to our platform and increase user engagement, leading to higher volume transactions. As a pioneering digital platform for the MMA world, we are building a rich and valuable data set that can further empower athletes and the companies that support them.”
The testnet release enables MMA.INC to simulate full ecosystem activity, including minting, staking, experience point (“XP”) accumulation, and rewards distribution, while also introducing AI-powered analytics that assess user performance, engagement, and progression. This technology forms the backbone of the Company’s “Get Paid to Train” economy, where measurable effort, verified training sessions, and skill improvement translate into tokenised rewards.
The AI Layer: Powering Smart Engagement
MMA.INC’s AI system, when implemented, will analyse training data, fight footage, and performance metrics to generate personalised insights and XP. These AI insights would feed directly into the platform’s reward engine, driving gamification, competitiveness, and community retention.
Through AI-enhanced analytics, users could:
Earn XP for verified training activities and skill improvements.Compete in global leaderboards and AI-evaluated fitness challenges.Receive customised performance feedback and tokenised rewards.
This AI intelligence loop would not only enhance athlete development but also create a dynamic digital economy around training, effort, and engagement, bridging real-world progress with on-chain incentives.
Advancing AI Integration with NVIDIA Powered Infrastructure
During its testnet phase, MMA.INC is conducting early validation using NVIDIA’s AI infrastructure to benchmark scalable model deployment and real-time data inference within its Web3 ecosystem.
The Company utilises NVIDIA’s GPU-accelerated frameworks, such as TensorRT, CUDA, and DGX Cloud, to explore how large-scale model inference can improve combat performance analytics, XP calibration, and on-chain reward distribution.
By integrating NVIDIA’s high-performance computing layer, MMA.INC aims to enable real-time fight data analysis, pattern recognition in training, and predictive modelling for thousands of users simultaneously. This allows the AI system to adapt staking, rewards, and XP distribution dynamically based on verified performance data.
While NVIDIA’s infrastructure sets the current standard for compute performance, MMA.INC is also collaborating with other leading AI providers to assess interoperability, data pipeline flexibility, and deployment efficiency. This strategy helps ensure the Company remains technology-agnostic and ready to integrate multiple AI data sources and federated model partners as its ecosystem expands.
MMA.INC’s Industry Leadership Means
AI Validation Meets Blockchain Integrity
The integration of AI into token testing allows MMA.INC to validate how machine learning models influence reward precision, engagement velocity, and economic balance.
Gamification For Mass Adoption
By transforming fitness and training into an AI-guided experience, MMA.INC lowers the barrier to crypto participation for mainstream users, making every training session a verifiable, value-generating action.
Data Transparency and Governance
Public dashboards and aggregated AI insights will be published to ensure accountability, transparency, and ongoing calibration of reward and staking models.
About Mixed Martial Arts Group Limited
With over 5 million social media followers, 530,000 user profiles, 75,000+ active students, 18,000 published gyms and 800 verified gyms across 16 countries across its various assets, MMA.inc continues to transform the martial arts landscape and deliver unparalleled value to its stakeholders
We are bringing together martial arts fans, fighters, gyms, and coaches in a single on chain ecosystem. Unlike other models that focus on digital collectibles or limited fan tokens, we’re all about real participation and achievement.
From the Ground Up to Worldwide: With over 800 verified gyms, 75,000+ active students already training across 16 countries, MMA.INC connects local gyms with global communities in a single, connected network of value.Participation as Currency: Engaging in training, streaming, coaching or simply supporting any activity, will earn Experience Points (XP), which is transparently logged on chain and can be redeemed for real rewards.Merit over Speculation: Rewards will be based on effort, passion and progress, allowing the economy to grow through genuine participation rather than financial gain.One Unified Ecosystem: With existing platform assets including BJJLink, TrainAlta, Hype and MixedMartialArts.com, MMA.INC provides a complete platform that covers training, community, content and fandom like no other.
For more information, visit www.mma.inc
Disclaimer
As we continue to develop our plans discussed above, they could change and there can be no assurance as to any final outcome.
The information provided in this press release is intended for informational purposes only and does not constitute investment advice, endorsement, analysis, or recommendations with respect to any financial instruments, investments, or issuers. Investment in cryptocurrency involves substantial risk, including the risk of complete loss. This press release does not take into account the investment objectives, financial situation, or specific needs of any particular person and each individual is urged to consult their legal and financial advisors before making any investment decisions.
Forward-Looking Statements
This press release contains forward-looking statements. Any statements contained herein regarding our strategy, potential digital asset treasury, potential MMA.INC token, platform development, future operations, financial position, future revenues, projected costs, prospects, plans and objectives of management, other than statements of historical facts, are forward-looking statements. The forward-looking statements included herein include or may include, but are not limited to, statements that are predictive in nature, depend upon or refer to future events or conditions, or use or contain words, terms, phrases, or expressions such as “achieve,” “forecast,” “plan,” “propose,” “strategy,” “envision,” “hope,” “will,” “continue,” “potential,” “expect,” “believe,” “anticipate,” “project,” “estimate,” “predict,” “intend,” “should,” “could,” “may,” “might,” or similar words, terms, phrases, or expressions or the negative of any of these terms. Any statements contained in this press release that are not based upon historical fact are based on current expectations, estimates, projections, opinions and/or beliefs of the Company. Such statements are not facts and involve known and unknown risks, uncertainties, and other factors. Prospective investors should not rely on these statements as if they were facts. Actual revenue may vary to current sales due to factors such as participant churn, cancellations, and changes in payment schedules, membership terms or pricing changes. Any references to verified gyms, partner gyms, user profiles refer to a database profile that has been claimed or created across the MMA.inc platform, which includes TrainAlta.com, BJJ Link, Hype, MixedMartialArts.com and Steppen. Forward-looking statements involve a number of known and unknown risks and uncertainties, including, but not limited to, those discussed in the “Risk Factors” section of the Form 20-F for the fiscal year ended June 30, 2024 filed with the SEC. Given the risks and uncertainties, readers should not place undue reliance on any forward-looking statement and should recognize that the statements are predictions of future results which may not occur as anticipated. New risk factors emerge from time to time, and it is not possible for management to predict all such risk factors, nor can it assess the impact of all such factors on the Company’s business or the extent to which any factor, or combination of factors, may cause actual results to differ materially from those contained in any forward-looking statements. You should carefully read the factors described in the “Risk Factors” section of the Form 20-F for the fiscal year ended June 30, 2024 filed with the SEC to better understand the risks and uncertainties inherent in our business and industry, and any underlying forward-looking statements. Except where required by law, the Company assumes no obligation to update, withdraw or revise any forward-looking statements to reflect actual results or changes in factors or assumptions affecting such forward-looking statements.
Media Contacts
Mixed Martial Arts Group Limited
E: peter@mma.inc
FAQ
What did MMA (MMA) announce on October 20, 2025 about tokenization?
MMA launched its utility token on the Solana testnet to stress test minting, staking, XP and rewards.
When is MMA targeting mainnet launch for the token (MMA)?
MMA is targeting Q1–Q2 2026 for mainnet deployment, pending successful audits and testing outcomes.
How is MMA using NVIDIA infrastructure for its Web3 platform?
MMA is validating scalable model deployment and real-time fight analytics using NVIDIA frameworks like TensorRT, CUDA, and DGX Cloud.
What features does MMA’s ‘Get Paid to Train’ token economy include?
The economy includes minting, staking, XP accumulation, AI-validated training verification, leaderboards, and tokenised rewards.
Does the testnet collect data to calibrate rewards and governance for MMA (MMA)?
Yes; testnet AI insights and performance data will inform reward calibration, governance and ecosystem scaling.