Bitdeer AI Unveils Advanced AI Training Platform with Serverless GPU Infrastructure for Scalable and Efficient AI/ML Inference
Bitdeer AI, part of Bitdeer Technologies Group (NASDAQ: BTDR), has launched an advanced AI Training Platform with serverless GPU infrastructure for scalable AI/ML inference. As one of the first NVIDIA Cloud Service Providers in Asia offering both cloud service and an AI training platform, Bitdeer AI enables users to build, train, and fine-tune AI models at scale.
The platform provides access to high-performance AI infrastructure including NVIDIA DGX SuperPOD with H100 GPUs, DDN Storage, and InfiniBand Networks. It offers a pay-as-you-go model, simplifies complex GPU infrastructure setups, and ensures reproducibility and environment consistency. Bitdeer AI plans to collaborate with NVIDIA to integrate NVIDIA AI Enterprise cloud services, enhancing the platform's capabilities for businesses to customize, test, and scale AI agents efficiently.
Bitdeer AI, parte del Bitdeer Technologies Group (NASDAQ: BTDR), ha lanciato una Piattaforma di Training AI avanzata con infrastruttura GPU senza server per un'inferenza AI/ML scalabile. Come uno dei primi fornitori di servizi cloud NVIDIA in Asia che offre sia servizi cloud che una piattaforma di training AI, Bitdeer AI consente agli utenti di costruire, addestrare e perfezionare modelli AI su larga scala.
La piattaforma offre accesso a un'infrastruttura AI ad alte prestazioni che include NVIDIA DGX SuperPOD con GPU H100, DDN Storage e Reti InfiniBand. Propone un modello di pagamento in base all'uso, semplifica le configurazioni complesse delle infrastrutture GPU e garantisce riproducibilità e coerenza ambientale. Bitdeer AI prevede di collaborare con NVIDIA per integrare i servizi cloud NVIDIA AI Enterprise, migliorando le capacità della piattaforma per consentire alle imprese di personalizzare, testare e scalare agenti AI in modo efficiente.
Bitdeer AI, parte de Bitdeer Technologies Group (NASDAQ: BTDR), ha lanzado una Plataforma de Entrenamiento AI avanzada con infraestructura GPU sin servidor para una inferencia escalable de AI/ML. Como uno de los primeros Proveedores de Servicios en la Nube de NVIDIA en Asia que ofrece tanto servicios en la nube como una plataforma de entrenamiento AI, Bitdeer AI permite a los usuarios construir, entrenar y ajustar modelos de AI a gran escala.
La plataforma proporciona acceso a infraestructura de AI de alto rendimiento que incluye NVIDIA DGX SuperPOD con GPU H100, DDN Storage y Redes InfiniBand. Ofrece un modelo de pago por uso, simplifica configuraciones complejas de infraestructura GPU y asegura la reproducibilidad y consistencia del entorno. Bitdeer AI planea colaborar con NVIDIA para integrar los servicios en la nube NVIDIA AI Enterprise, mejorando las capacidades de la plataforma para que las empresas personalicen, prueben y escalen agentes de AI de manera eficiente.
Bitdeer AI는 Bitdeer Technologies Group의 일부(NASDAQ: BTDR)로, 확장 가능한 AI/ML 추론을 위한 서버 없는 GPU 인프라를 갖춘 고급 AI 교육 플랫폼을 출시했습니다. 클라우드 서비스와 AI 교육 플랫폼을 모두 제공하는 아시아 최초의 NVIDIA 클라우드 서비스 제공업체 중 하나인 Bitdeer AI는 사용자가 대규모로 AI 모델을 구축, 교육 및 미세 조정할 수 있도록 합니다.
이 플랫폼은 H100 GPU가 장착된 NVIDIA DGX SuperPOD, DDN Storage 및 InfiniBand 네트워크를 포함한 고성능 AI 인프라에 대한 액세스를 제공합니다. 사용량 기반 요금제를 제공하며, 복잡한 GPU 인프라 설정을 간소화하고 재현성과 환경 일관성을 보장합니다. Bitdeer AI는 NVIDIA와 협력하여 NVIDIA AI Enterprise 클라우드 서비스를 통합할 계획이며, 이는 기업이 AI 에이전트를 효율적으로 사용자 정의, 테스트 및 확장할 수 있는 플랫폼의 기능을 강화합니다.
Bitdeer AI, qui fait partie de Bitdeer Technologies Group (NASDAQ: BTDR), a lancé une Plateforme de Formation AI avancée avec une infrastructure GPU sans serveur pour une inférence AI/ML évolutive. En tant que l'un des premiers fournisseurs de services cloud NVIDIA en Asie à offrir à la fois des services cloud et une plateforme de formation AI, Bitdeer AI permet aux utilisateurs de construire, former et affiner des modèles AI à grande échelle.
La plateforme donne accès à une infrastructure AI haute performance, y compris le NVIDIA DGX SuperPOD avec des GPU H100, DDN Storage et des réseaux InfiniBand. Elle propose un modèle de paiement à l'utilisation, simplifie les configurations complexes d'infrastructure GPU et garantit la reproductibilité et la cohérence de l'environnement. Bitdeer AI prévoit de collaborer avec NVIDIA pour intégrer les services cloud NVIDIA AI Enterprise, améliorant ainsi les capacités de la plateforme pour que les entreprises personnalisent, testent et évoluent efficacement les agents AI.
Bitdeer AI, Teil der Bitdeer Technologies Group (NASDAQ: BTDR), hat eine fortschrittliche AI-Training-Plattform mit serverloser GPU-Infrastruktur für skalierbare AI/ML-Inferenz lanciert. Als einer der ersten NVIDIA Cloud Service Provider in Asien, der sowohl Cloud-Dienste als auch eine AI-Training-Plattform anbietet, ermöglicht Bitdeer AI den Nutzern, AI-Modelle in großem Maßstab zu erstellen, zu trainieren und zu verfeinern.
Die Plattform bietet Zugang zu einer hochleistungsfähigen AI-Infrastruktur, einschließlich NVIDIA DGX SuperPOD mit H100 GPUs, DDN Storage und InfiniBand-Netzwerken. Sie bietet ein Pay-as-you-go-Modell, vereinfacht komplexe GPU-Infrastrukturkonfigurationen und gewährleistet Reproduzierbarkeit und Konsistenz der Umgebung. Bitdeer AI plant eine Zusammenarbeit mit NVIDIA, um die NVIDIA AI Enterprise Cloud-Dienste zu integrieren und die Fähigkeiten der Plattform für Unternehmen zu verbessern, damit diese AI-Agents effizient anpassen, testen und skalieren können.
- Launch of advanced AI Training Platform with serverless GPU infrastructure
- Access to high-performance AI infrastructure (NVIDIA DGX SuperPOD with H100 GPUs)
- Pay-as-you-go model optimizing development costs
- Simplified GPU infrastructure setup reducing complexity and time for ML model development
- Collaboration with NVIDIA for future platform enhancements
- None.
Insights
Bitdeer AI's new AI Training Platform marks a significant leap in AI/ML infrastructure. By offering serverless GPU infrastructure, they're addressing a important pain point in the industry: the complexity and cost of managing high-performance computing resources. This move could potentially democratize AI development, making it more accessible to smaller companies and individual developers.
The platform's ability to utilize multi-GPUs across various servers is particularly noteworthy. This feature can dramatically reduce training times for large, complex models, which is critical in today's fast-paced AI research environment. The integration with NVIDIA DGX SuperPOD with H100 GPUs puts Bitdeer at the forefront of AI hardware capabilities, potentially giving them a competitive edge in the Asian market.
However, the real game-changer here is the pay-as-you-go model. This could significantly lower the barrier to entry for AI research and development, potentially spurring innovation across various sectors. It's a smart move that aligns with broader industry trends towards more flexible, cloud-based computing solutions.
From a financial perspective, Bitdeer's new platform positions the company strategically in the rapidly growing AI cloud services market. As one of the first NVIDIA Cloud Service Providers in Asia offering both cloud service and an AI training platform, Bitdeer (NASDAQ: BTDR) could see significant revenue growth in the coming quarters.
The pay-as-you-go model is particularly interesting from a financial standpoint. It could lead to higher customer acquisition rates due to lower upfront costs, potentially translating to increased market share. However, investors should watch for metrics on customer retention and average revenue per user, as these will be important indicators of the platform's long-term profitability.
The collaboration with NVIDIA for future enhancements suggests ongoing R&D investments, which could impact short-term profitability but strengthen Bitdeer's competitive position long-term. Overall, this launch could be a significant catalyst for Bitdeer's stock, especially if they can demonstrate rapid adoption and scalability of the new platform.
Bitdeer AI's new platform enters a competitive but rapidly expanding market. The global AI infrastructure market is projected to grow at a CAGR of over
The focus on simplifying complex GPU infrastructure setups addresses a significant pain point for many organizations looking to implement AI solutions. This could be particularly attractive to small and medium-sized enterprises that lack the resources for extensive in-house AI infrastructure.
The collaboration with SMU School of Computing and Information Systems for platform testing adds credibility and could help in gaining trust from potential enterprise clients. However, Bitdeer will face stiff competition from established players like AWS, Google Cloud and Microsoft Azure, who also offer AI/ML platforms. Bitdeer's success will largely depend on its ability to differentiate its offering, particularly in terms of performance, ease of use and cost-effectiveness. The planned integration with NVIDIA AI Enterprise cloud services could be a key differentiator if executed well.
SINGAPORE, Aug. 14, 2024 (GLOBE NEWSWIRE) -- Bitdeer AI, part of Bitdeer Technologies Group (NASDAQ: BTDR), a leading AI Cloud service provider, has announced the launch of its advanced AI Training Platform, designed to provide fast and scalable AI/ML inference with serverless GPU infrastructure. With the newest AI Training Platform, Bitdeer AI becomes one of the first NVIDIA Cloud Service Providers (CSP) in Asia to offer both cloud service and an AI training platform.
The Bitdeer AI Training Platform empowers everyone to build, train, and fine-tune AI models at scale through notebooks and organized resources on a project basis. Based on the pre-configured guides and customizable parameters, the innovative platform simplifies the process of developing and refining AI models, making them accessible to a wider audience. It further allows different teams within the same organization to collaboratively build and develop AI models without the need to manage their own servers, setting a new benchmark in efficiency and performance.
High-Performance AI Infrastructure
The newly announced platform offers seamless access to high-performance AI infrastructure and resources of NVIDIA DGX SuperPOD with H100 GPUs, DDN Storage, and InfiniBand Networks. It also improves the efficiency and scalability of AI/ML training processes by utilizing multi-GPUs across various servers simultaneously. By distributing the workload across several GPUs, Bitdeer AI's services can handle extensive and sophisticated training tasks, making it the optimal choice for organizations aiming to accelerate their AI initiatives.
Addressing Key Business Challenges
- Optimizing Development Costs: With Bitdeer AI, businesses can optimize costs through a pay-as-you-go model, only being charged when notebooks are in service mode. This approach ensures that organizations only pay for the resources they use, making AI development more cost-effective.
- Simplifying Complex GPU Infrastructure Setups: The serverless infrastructure provides a comprehensive integrated development environment for ML, including pre-built algorithms and support for popular frameworks like TensorFlow and PyTorch. This significantly reduces the complexity and time required to develop and train ML models, streamlining the AI development process.
- Ensuring Reproducibility and Environment Consistency: Bitdeer AI ensures consistency and reproducibility in the build environment, crucial for managing ML model deployment. This consistency prevents unexpected errors when restarting CI/CD jobs or migrating from one platform to another, avoiding costly build errors in long-running ML jobs.
Bitdeer AI collaborated with a software engineering team from the SMU School of Computing and Information Systems to test, verify, and fine-tune the platform, ensuring its robustness and effectiveness. Looking ahead, Bitdeer AI plans to collaborate with NVIDIA to enhance the AI Training Platform by integrating with the NVIDIA AI Enterprise (NVAIE) cloud services such as NIM. This collaboration will enable businesses to customize, test, and scale AI agents efficiently, further solidifying Bitdeer AI's commitment to providing top-tier AI solutions.
About Bitdeer AI
Bitdeer AI is a leading provider of AI/ML GPU cloud solutions, dedicated to empowering businesses with advanced training capabilities and high-performance resources. As the first NVIDIA Cloud Provider (NCP) in Singapore to offer cloud services and an AI training platform, our innovative solutions and strategic collaborations position us at the forefront of AI development, helping organizations accelerate their AI initiatives and achieve their goals. For more information, please visit https://www.bitdeer.ai.
Forward-Looking Statements
Statements in this press release about future expectations, plans, and prospects, as well as any other statements regarding matters that are not historical facts, may constitute “forward-looking statements” within the meaning of The Private Securities Litigation Reform Act of 1995. The words “anticipate,” “look forward to,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “potential,” “predict,” “project,” “should,” “target,” “will,” “would” and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. Actual results may differ materially from those indicated by such forward-looking statements as a result of various important factors, including factors discussed in the section entitled “Risk Factors” in Bitdeer’s annual report on Form 20-F, as well as discussions of potential risks, uncertainties, and other important factors in Bitdeer’s subsequent filings with the U.S. Securities and Exchange Commission. Any forward-looking statements contained in this press release speak only as of the date hereof. Bitdeer specifically disclaims any obligation to update any forward-looking statement, whether due to new information, future events, or otherwise. Readers should not rely upon the information on this page as current or accurate after its publication date.
Contact:
Media Contact: Retainna Lin
Email: retainna.lin@bitdeer.com
FAQ
What new product has Bitdeer AI (BTDR) launched in August 2024?
How does Bitdeer AI's (BTDR) new platform optimize costs for businesses?
What high-performance AI infrastructure does Bitdeer AI's (BTDR) new platform offer?
How does Bitdeer AI (BTDR) plan to enhance its AI Training Platform in the future?
