List of the Top AI Infrastructure Platforms for Mid Size Business in 2025 - Page 3

Banana was established to fill a critical gap we recognized in the market. As the demand for machine learning solutions continues to climb, the actual process of integrating these models into practical applications proves to be quite complicated and technical. Our objective at Banana is to develop a comprehensive machine learning infrastructure designed specifically for the digital economy. We strive to simplify the deployment process, transforming the daunting challenge of implementing models into a task as straightforward as copying and pasting an API. This methodology empowers businesses of all sizes to harness and gain advantages from state-of-the-art models. We are convinced that democratizing access to machine learning will significantly contribute to the acceleration of global company growth. As machine learning stands on the brink of becoming the most transformative technological innovation of the 21st century, Banana is committed to providing businesses with the crucial tools necessary for success in this evolving landscape. Moreover, we view ourselves as pivotal enablers in this digital transformation, ensuring that organizations have the resources they need to innovate and excel. In this way, we aim to play a vital role in shaping the future of technology and business.

Achieve pricing that is three to five times more competitive than traditional cloud services with FluidStack, which harnesses underutilized GPUs from data centers worldwide to deliver unparalleled economic benefits in the sector. By utilizing a single platform and API, you can deploy over 50,000 high-performance servers in just seconds. Within a few days, you can access substantial A100 and H100 clusters that come equipped with InfiniBand. FluidStack enables you to train, fine-tune, and launch large language models on thousands of cost-effective GPUs within minutes. By interconnecting a multitude of data centers, FluidStack successfully challenges the monopolistic pricing of GPUs in the cloud market. Experience computing speeds that are five times faster while simultaneously improving cloud efficiency. Instantly access over 47,000 idle servers, all boasting tier 4 uptime and security, through an intuitive interface. You’ll be able to train larger models, establish Kubernetes clusters, accelerate rendering tasks, and stream content smoothly without interruptions. The setup process is remarkably straightforward, requiring only one click for custom image and API deployment in seconds. Additionally, our team of engineers is available 24/7 via Slack, email, or phone, acting as an integrated extension of your team to ensure you receive the necessary support. This high level of accessibility and assistance can significantly enhance your operational efficiency, making it easier to achieve your project goals. With FluidStack, you can maximize your resource utilization while keeping costs under control.

The complete infrastructure, computational resources, and essential software tools, including Cuda and multiple frameworks, have been set up to allow you to train and deploy your chosen deep-learning models effortlessly. You have the convenience of launching GPU or CPU instances straight from your web browser, or you can enhance your efficiency by automating the process using our Python API. This level of flexibility guarantees that your attention can remain on developing your models, free from concerns about the foundational setup. Additionally, the streamlined experience is designed to enhance productivity and innovation in your deep-learning projects.

Hyperstack stands as a premier self-service GPU-as-a-Service platform, providing cutting-edge hardware options like the H100, A100, and L40, and catering to some of the most innovative AI startups globally. Designed for enterprise-level GPU acceleration, Hyperstack is specifically optimized to handle demanding AI workloads. Similarly, NexGen Cloud supplies robust infrastructure suitable for a diverse clientele, including small and medium enterprises, large corporations, managed service providers, and technology enthusiasts alike. Powered by NVIDIA's advanced architecture and committed to sustainability through 100% renewable energy, Hyperstack's offerings are available at prices up to 75% lower than traditional cloud service providers. The platform is adept at managing a wide array of high-performance tasks, encompassing Generative AI, Large Language Modeling, machine learning, and rendering, making it a versatile choice for various technological applications. Overall, Hyperstack's efficiency and affordability position it as a leader in the evolving landscape of cloud-based GPU services.

NVIDIA Brev provides developers with instant access to fully optimized GPU environments in the cloud, eliminating the typical setup challenges of AI and machine learning projects. Its flagship feature, Launchables, allows users to create and deploy preconfigured compute environments by selecting the necessary GPU resources, Docker container images, and uploading relevant project files like notebooks or repositories. This process requires minimal effort and can be completed within minutes, after which the Launchable can be shared publicly or privately via a simple link. NVIDIA offers a rich library of prebuilt Launchables equipped with the latest AI frameworks, microservices, and NVIDIA Blueprints, enabling users to jumpstart their projects with proven, scalable tools. The platform’s GPU sandbox provides a full virtual machine with support for CUDA, Python, and Jupyter Lab, accessible directly in the browser or through command-line interfaces. This seamless integration lets developers train, fine-tune, and deploy models efficiently, while also monitoring performance and usage in real time. NVIDIA Brev’s flexibility extends to port exposure and customization, accommodating diverse AI workflows. It supports collaboration by allowing easy sharing and visibility into resource consumption. By simplifying infrastructure management and accelerating development timelines, NVIDIA Brev helps startups and enterprises innovate faster in the AI space. Its robust environment is ideal for researchers, data scientists, and AI engineers seeking hassle-free GPU compute resources.

Fal is a serverless Python framework that simplifies the cloud scaling of your applications while eliminating the burden of infrastructure management. It empowers developers to build real-time AI solutions with impressive inference speeds, usually around 120 milliseconds. With a range of pre-existing models available, users can easily access API endpoints to kickstart their AI projects. Additionally, the platform supports deploying custom model endpoints, granting you fine-tuned control over settings like idle timeout, maximum concurrency, and automatic scaling. Popular models such as Stable Diffusion and Background Removal are readily available via user-friendly APIs, all maintained without any cost, which means you can avoid the hassle of cold start expenses. Join discussions about our innovative product and play a part in advancing AI technology. The system is designed to dynamically scale, leveraging hundreds of GPUs when needed and scaling down to zero during idle times, ensuring that you only incur costs when your code is actively executing. To initiate your journey with fal, you simply need to import it into your Python project and utilize its handy decorator to wrap your existing functions, thus enhancing the development workflow for AI applications. This adaptability makes fal a superb option for developers at any skill level eager to tap into AI's capabilities while keeping their operations efficient and cost-effective. Furthermore, the platform's ability to seamlessly integrate with various tools and libraries further enriches the development experience, making it a versatile choice for those venturing into the AI landscape.

An advanced platform tailored for training purposes comes fitted with NVIDIA® H100 Tensor Core GPUs, providing attractive pricing options and customized assistance. This system is specifically engineered to manage large-scale machine learning tasks, enabling effective multihost training that leverages thousands of interconnected H100 GPUs through the cutting-edge InfiniBand network, reaching speeds as high as 3.2Tb/s per host. Users can enjoy substantial financial benefits, including a minimum of 50% savings on GPU compute costs in comparison to top public cloud alternatives*, alongside additional discounts for GPU reservations and bulk ordering. To ensure a seamless onboarding experience, we offer dedicated engineering support that guarantees efficient platform integration while optimizing your existing infrastructure and deploying Kubernetes. Our fully managed Kubernetes service simplifies the deployment, scaling, and oversight of machine learning frameworks, facilitating multi-node GPU training with remarkable ease. Furthermore, our Marketplace provides a selection of machine learning libraries, applications, frameworks, and tools designed to improve your model training process. New users are encouraged to take advantage of a free one-month trial, allowing them to navigate the platform's features without any commitment. This unique blend of high performance and expert support positions our platform as an exceptional choice for organizations aiming to advance their machine learning projects and achieve their goals. Ultimately, this offering not only enhances productivity but also fosters innovation and growth in the field of artificial intelligence.

We created a containerization platform using Rust that focuses on achieving the fastest cold-start times possible. This platform enables effortless scaling from hundreds of GPUs down to zero in just seconds, meaning you only incur costs for the resources you actively use. Functions can be deployed to the cloud in seconds, and it supports custom container images along with specific hardware requirements. There's no need to deal with YAML; our system makes the process straightforward. Startups and academic researchers can take advantage of free compute credits up to $25,000 on Modal, applicable to GPU computing and access to high-demand GPU types. Modal keeps a close eye on CPU usage based on fractional physical cores, where each physical core equates to two vCPUs, and it also monitors memory consumption in real-time. You are billed only for the actual CPU and memory resources consumed, with no hidden fees involved. This novel strategy not only simplifies deployment but also enhances cost efficiency for users, making it an attractive solution for a wide range of applications. Additionally, our platform ensures that users can focus on their projects without worrying about resource management complexities.

Utilize GPU-accelerated instances that can be customized to align with your artificial intelligence needs and budget. Gain access to a vast selection of GPUs housed in a state-of-the-art AI data center, perfectly suited for large-scale training and inference tasks. The current trajectory in the AI sector is clearly favoring GPU cloud solutions, facilitating the development and implementation of groundbreaking models while simplifying the complexities of infrastructure management and resource constraints. Providers specializing in AI cloud services consistently outperform traditional hyperscalers in terms of availability, cost-effectiveness, and the capability to scale GPU resources for complex AI applications. Ori offers a wide variety of GPU options, each tailored to fulfill distinct processing requirements, resulting in superior availability of high-performance GPUs compared to typical cloud offerings. This advantage allows Ori to present increasingly competitive pricing year after year, whether through pay-as-you-go models or dedicated servers. When compared to the hourly or usage-based charges of conventional cloud service providers, our GPU computing costs are significantly lower for running extensive AI operations, making it an attractive option. Furthermore, this financial efficiency positions Ori as an appealing selection for enterprises aiming to enhance their AI strategies, ensuring they can optimize their resources effectively for maximum impact.

Instill Core is an all-encompassing AI infrastructure platform that adeptly manages data, model, and pipeline orchestration, ultimately streamlining the creation of AI-driven applications. Users have the flexibility to engage with it via Instill Cloud or choose to self-host by utilizing the instill-core repository available on GitHub. Key features of Instill Core include: Instill VDP: A versatile data pipeline solution that effectively tackles the challenges of ETL for unstructured data, facilitating efficient pipeline orchestration. Instill Model: An MLOps/LLMOps platform designed to ensure seamless model serving, fine-tuning, and ongoing monitoring, thus optimizing performance for unstructured data ETL. Instill Artifact: A tool that enhances data orchestration, allowing for a unified representation of unstructured data. By simplifying the development and management of complex AI workflows, Instill Core becomes an indispensable asset for developers and data scientists looking to harness AI capabilities. This solution not only aids users in innovating but also enhances the implementation of AI systems, paving the way for more advanced technological advancements. Moreover, as AI continues to evolve, Instill Core is poised to adapt alongside emerging trends and demands in the field.

Featherless is an innovative provider of AI models, giving subscribers access to an ever-expanding library of Hugging Face models. With hundreds of new models emerging daily, effective tools are crucial for navigating this rapidly evolving space. No matter your application, Featherless facilitates the discovery and utilization of high-quality AI models that fit your needs. We currently support a range of LLaMA-3-based models, including LLaMA-3 and QWEN-2, with the latter being limited to a maximum context length of 16,000 tokens. In addition, we are actively working to expand the variety of architectures we support in the near future. Our ongoing commitment to innovation means that we continuously incorporate new models as they appear on Hugging Face, with plans to automate the onboarding process to encompass all publicly available models that meet our criteria. To ensure fair usage, we impose limits on concurrent requests based on the chosen subscription plan. Subscribers can anticipate output speeds ranging from 10 to 40 tokens per second, which depend on the model in use and the prompt length, thus providing a customized experience for each user. As we grow, our focus remains on further enhancing the capabilities and offerings of our platform, striving to meet the diverse demands of our subscribers. The future holds exciting possibilities for tailored AI solutions through Featherless, as we aim to lead in accessibility and innovation.

Presenting an innovative enterprise studio tailored for AI developers to efficiently train, validate, fine-tune, and deploy artificial intelligence models. The IBM® watsonx.ai™ AI studio serves as a vital element of the IBM watsonx™ AI and data platform, which merges cutting-edge generative AI functionalities powered by foundational models with classic machine learning methodologies, thereby creating a comprehensive environment that addresses the complete AI lifecycle. Users have the capability to customize and steer models utilizing their own enterprise data to meet specific needs, all while benefiting from user-friendly tools crafted to build and enhance effective prompts. By leveraging watsonx.ai, organizations can expedite the development of AI applications more than ever before, requiring significantly less data in the process. Among the notable features of watsonx.ai is robust AI governance, which equips enterprises to improve and broaden their utilization of AI through trustworthy data across diverse industries. Furthermore, it offers flexible, multi-cloud deployment options that facilitate the smooth integration and operation of AI workloads within the hybrid-cloud structure of your choice. This revolutionary capability simplifies the process for companies to tap into the vast potential of AI technology, ultimately driving greater innovation and efficiency in their operations.

Qubrid AI distinguishes itself as an innovative leader in the field of Artificial Intelligence (AI), focusing on solving complex problems across diverse industries. Their all-inclusive software suite includes AI Hub, which serves as a centralized access point for various AI models, alongside AI Compute GPU Cloud, On-Prem Appliances, and the AI Data Connector. Users are empowered to create their own custom models while also taking advantage of top-tier inference models, all supported by a user-friendly and efficient interface. This platform facilitates straightforward testing and fine-tuning of models, followed by a streamlined deployment process that enables users to fully leverage AI's capabilities in their projects. With AI Hub, individuals can kickstart their AI endeavors, smoothly transitioning from concept to implementation on a comprehensive platform. The advanced AI Compute system optimizes performance by harnessing the strengths of GPU Cloud and On-Prem Server Appliances, significantly simplifying the innovation and execution of cutting-edge AI solutions. The dedicated team at Qubrid, composed of AI developers, researchers, and industry experts, is relentlessly focused on improving this unique platform to drive progress in scientific research and practical applications. Their collaborative efforts aspire to reshape the landscape of AI technology across various fields, ensuring that users remain at the forefront of advancements in this rapidly evolving domain. As they continue to enhance their offerings, Qubrid AI is poised to make a lasting impact on how AI is integrated into everyday applications.

Substrate acts as the core platform for agentic AI, incorporating advanced abstractions and high-performance features such as optimized models, a vector database, a code interpreter, and a model router. It is distinguished as the only computing engine designed explicitly for managing intricate multi-step AI tasks. By simply articulating your requirements and connecting various components, Substrate can perform tasks with exceptional speed. Your workload is analyzed as a directed acyclic graph that undergoes optimization; for example, it merges nodes that are amenable to batch processing. The inference engine within Substrate adeptly arranges your workflow graph, utilizing advanced parallelism to facilitate the integration of multiple inference APIs. Forget the complexities of asynchronous programming—just link the nodes and let Substrate manage the parallelization of your workload effortlessly. With our powerful infrastructure, your entire workload can function within a single cluster, frequently leveraging just one machine, which removes latency that can arise from unnecessary data transfers and cross-region HTTP requests. This efficient methodology not only boosts productivity but also dramatically shortens the time needed to complete tasks, making it an invaluable tool for AI practitioners. Furthermore, the seamless interaction between components encourages rapid iterations of AI projects, allowing for continuous improvement and innovation.

NetMind.AI represents a groundbreaking decentralized computing platform and AI ecosystem designed to propel the advancement of artificial intelligence on a global scale. By leveraging the underutilized GPU resources scattered worldwide, it makes AI computing power not only affordable but also readily available to individuals, corporations, and various organizations. The platform offers a wide array of services, including GPU rentals, serverless inference, and a comprehensive ecosystem that encompasses data processing, model training, inference, and the development of intelligent agents. Users can benefit from competitively priced GPU rentals and can easily deploy their models through flexible serverless inference options, along with accessing a diverse selection of open-source AI model APIs that provide exceptional throughput and low-latency performance. Furthermore, NetMind.AI encourages contributors to connect their idle GPUs to the network, rewarding them with NetMind Tokens (NMT) for their participation. These tokens play a crucial role in facilitating transactions on the platform, allowing users to pay for various services such as training, fine-tuning, inference, and GPU rentals. Ultimately, the goal of NetMind.AI is to democratize access to AI resources, nurturing a dynamic community of both contributors and users while promoting collaborative innovation. This vision not only supports technological advancement but also fosters an inclusive environment where every participant can thrive.

Civo is an innovative cloud-native platform that redefines cloud computing by combining speed, simplicity, and transparent pricing tailored to developers and enterprises alike. The platform offers managed Kubernetes clusters that launch in just 90 seconds, enabling rapid deployment and scaling of containerized applications with minimal overhead. Beyond Kubernetes, Civo provides enterprise-grade compute instances, scalable managed databases, cost-effective object storage, and reliable load balancing to support a wide variety of workloads. Their cloud GPU offering, powered by NVIDIA A100 processors, supports demanding AI and machine learning applications with an option for carbon-neutral GPUs to promote sustainability. Civo’s billing is usage-based and designed for predictability, starting as low as $5.43 per month for object storage and scaling with customer needs, ensuring no hidden fees or surprises. Developers benefit from user-friendly dashboards, APIs, and tools that simplify infrastructure management, while extensive educational resources like Civo Academy, meetups, and tutorials empower users to master cloud-native technologies. The company adheres to rigorous compliance standards including ISO27001, SOC2, Cyber Essentials Plus, and holds certifications as a UK government G-Cloud supplier. Trusted by prominent brands like Docker, Mercedes Benz, and RedHat, Civo combines robust infrastructure with a focus on customer experience. Their private sovereign clouds in the UK and India offer additional options for customers requiring data sovereignty and compliance. Overall, Civo enables businesses to accelerate innovation, reduce costs, and maintain secure, scalable cloud environments with ease.

Amazon's Elastic Compute Cloud (EC2) Trn1 instances, powered by AWS Trainium processors, are meticulously engineered to optimize deep learning training, especially for generative AI models such as large language models and latent diffusion models. These instances significantly reduce costs, offering training expenses that can be as much as 50% lower than comparable EC2 alternatives. Capable of accommodating deep learning models with over 100 billion parameters, Trn1 instances are versatile and well-suited for a variety of applications, including text summarization, code generation, question answering, image and video creation, recommendation systems, and fraud detection. The AWS Neuron SDK further streamlines this process, assisting developers in training their models on AWS Trainium and deploying them efficiently on AWS Inferentia chips. This comprehensive toolkit integrates effortlessly with widely used frameworks like PyTorch and TensorFlow, enabling users to maximize their existing code and workflows while harnessing the capabilities of Trn1 instances for model training. Consequently, this approach not only facilitates a smooth transition to high-performance computing but also enhances the overall efficiency of AI development processes. Moreover, the combination of advanced hardware and software support allows organizations to remain at the forefront of innovation in artificial intelligence.

Amazon EC2 Inf1 instances are designed to deliver efficient and high-performance machine learning inference while significantly reducing costs. These instances boast throughput that is 2.3 times greater and inference costs that are 70% lower compared to other Amazon EC2 offerings. Featuring up to 16 AWS Inferentia chips, which are specialized ML inference accelerators created by AWS, Inf1 instances are also powered by 2nd generation Intel Xeon Scalable processors, allowing for networking bandwidth of up to 100 Gbps, a crucial factor for extensive machine learning applications. They excel in various domains, such as search engines, recommendation systems, computer vision, speech recognition, natural language processing, personalization features, and fraud detection systems. Furthermore, developers can leverage the AWS Neuron SDK to seamlessly deploy their machine learning models on Inf1 instances, supporting integration with popular frameworks like TensorFlow, PyTorch, and Apache MXNet, ensuring a smooth transition with minimal changes to the existing codebase. This blend of cutting-edge hardware and robust software tools establishes Inf1 instances as an optimal solution for organizations aiming to enhance their machine learning operations, making them a valuable asset in today’s data-driven landscape. Consequently, businesses can achieve greater efficiency and effectiveness in their machine learning initiatives.

Utilize our APIs to tap into the potential of AI, allowing you to pay solely for what you need, thereby removing unnecessary expenses while enjoying remarkable speed and scalability. By integrating AI-driven image generation, you can provide your users with high-quality, unique visuals that elevate your offerings. Incorporate AI text generation to produce captivating content, automate replies, or customize experiences to suit individual needs. Integrating real-time speech recognition into your products can greatly enhance accessibility and efficiency. The API also supports voiceover creation, improves accessibility features, and enables interactive experiences. Additionally, you can synchronize speech with facial movements to create realistic animations that enhance video quality. Streamline your operations by automating repetitive tasks and optimizing workflows, which will lead to improved operational efficiency. Extract significant insights from your data, enabling you to make informed business decisions that keep you competitive in the market. Stay ahead with cutting-edge AI, driven by a worldwide network of advanced computers that provide personalized recommendations, boosting customer satisfaction and engagement. This holistic strategy can revolutionize how you engage with your audience while simplifying your business operations, creating a more dynamic interaction overall. Embrace this transformational technology to set your business apart in an ever-evolving landscape.

Nscale stands out as a dedicated hyperscaler aimed at advancing artificial intelligence, providing high-performance computing specifically optimized for training, fine-tuning, and handling intensive workloads. Our comprehensive approach in Europe encompasses everything from data centers to software solutions, guaranteeing exceptional performance, efficiency, and sustainability across all our services. Clients can access thousands of customizable GPUs via our sophisticated AI cloud platform, which facilitates substantial cost savings and revenue enhancement while streamlining AI workload management. The platform is designed for a seamless shift from development to production, whether using Nscale's proprietary AI/ML tools or integrating external solutions. Additionally, users can take advantage of the Nscale Marketplace, offering a diverse selection of AI/ML tools and resources that aid in the effective and scalable creation and deployment of models. Our serverless architecture further simplifies the process by enabling scalable AI inference without the burdens of infrastructure management. This innovative system adapts dynamically to meet demand, ensuring low latency and cost-effective inference for top-tier generative AI models, which ultimately leads to improved user experiences and operational effectiveness. With Nscale, organizations can concentrate on driving innovation while we expertly manage the intricate details of their AI infrastructure, allowing them to thrive in an ever-evolving technological landscape.

NeevCloud provides innovative GPU cloud solutions utilizing advanced NVIDIA GPUs, including the H200 and GB200 NVL72, among others. These powerful GPUs deliver exceptional performance for a variety of applications, including artificial intelligence, high-performance computing, and tasks that require heavy data processing. With adaptable pricing models and energy-efficient graphics technology, users can scale their operations effectively, achieving cost savings while enhancing productivity. This platform is particularly well-suited for training AI models and conducting scientific research. Additionally, it guarantees smooth integration, worldwide accessibility, and support for media production. Overall, NeevCloud's GPU Cloud Solutions stand out for their remarkable speed, scalability, and commitment to sustainability, making them a top choice for modern computational needs.

Humiris AI is an advanced infrastructure platform tailored for artificial intelligence that allows developers to build complex applications by integrating various Large Language Models (LLMs). It features a multi-LLM routing and reasoning layer, which significantly improves generative AI workflows within an adaptable and scalable architecture. The platform is designed for a diverse range of uses, including chatbot creation, simultaneous fine-tuning of multiple LLMs, enabling retrieval-augmented generation, developing sophisticated reasoning agents, conducting thorough data analysis, and automating code generation. Its unique data format is compatible with all foundational models, ensuring seamless integration and optimization. Users can easily get started by signing up, initiating a project, entering their LLM provider API keys, and configuring parameters to generate a tailored mixed model that aligns with their specific needs. Furthermore, it allows deployment on users' own infrastructure, which ensures complete data sovereignty and compliance with both internal policies and external regulations, creating a trustworthy environment for creativity and development. This combination of features not only enriches the user experience but also empowers developers to fully harness the capabilities of AI technology while promoting innovation across various sectors. Ultimately, Humiris AI stands as a beacon for those looking to explore the vast potential of artificial intelligence applications.

Explore the latest innovations in AI models designed for optimization, connect AI agents to data utilizing NVIDIA NeMo, and implement solutions effortlessly through NVIDIA NIM microservices. These microservices are designed for ease of use, allowing the deployment of foundational models across multiple cloud platforms or within data centers, ensuring data protection while facilitating effective AI integration. Additionally, NVIDIA AI provides opportunities to access the Deep Learning Institute (DLI), where learners can enhance their technical skills, gain hands-on experience, and deepen their expertise in areas such as AI, data science, and accelerated computing. AI models generate outputs based on complex algorithms and machine learning methods; however, it is important to recognize that these outputs can occasionally be flawed, biased, harmful, or unsuitable. Interacting with this model means understanding and accepting the risks linked to potential negative consequences of its responses. It is advisable to avoid sharing any sensitive or personal information without explicit consent, and users should be aware that their activities may be monitored for security purposes. As the field of AI continues to evolve, it is crucial for users to remain informed and cautious regarding the ramifications of implementing such technologies, ensuring proactive engagement with the ethical implications of their usage. Staying updated about the ongoing developments in AI will help individuals make more informed decisions regarding their applications.

Aligned is a cutting-edge platform designed to enhance customer collaboration, serving as both a digital sales room and a client portal to boost sales and customer success efforts. This innovative tool enables go-to-market teams to navigate complex deals, improve buyer interactions, and simplify the client onboarding experience. By consolidating all necessary decision-support resources into a unified collaborative space, it empowers account executives to prepare internal advocates, connect with a broader range of stakeholders, and implement oversight through shared action plans. Customer success managers can utilize Aligned to create customized onboarding experiences that promote a smooth customer journey. The platform features a suite of capabilities, including content sharing, messaging functionalities, e-signature support, and seamless CRM integration, all crafted within an intuitive interface that eliminates the need for client logins. Users can experience Aligned at no cost, without requiring credit card information, and the platform offers flexible pricing options tailored to meet the unique requirements of various businesses, ensuring inclusivity for all. Ultimately, Aligned not only enhances communication but also cultivates deeper connections between organizations and their clients, paving the way for long-term partnerships. In a landscape where customer engagement is paramount, tools like Aligned are invaluable for driving success.

Ascend AI Cloud Service provides immediate access to significant and cost-effective AI computing resources, acting as a reliable platform for both model training and execution, while also offering an extensive suite of cloud-based tools and a vibrant AI ecosystem that supports all major open-source foundation models. Its exceptional computing power enables the training of trillion-parameter models and accommodates prolonged training sessions exceeding 30 days without interruption on clusters containing over 1,000 cards, with training tasks capable of being auto-recovered in under 30 minutes. The service comes with fully equipped toolchains that are ready to use with no configuration needed, facilitating smooth self-service migration for common applications. In addition, Ascend AI Cloud Service features a comprehensive ecosystem designed to support leading open-source models and provides access to a vast repository of more than 100,000 assets in the AI Gallery, significantly improving the user experience. This all-encompassing solution empowers users to innovate and explore within a sturdy AI infrastructure, ensuring they stay ahead in the realm of technological progress and advancements. As a result, users can confidently push the boundaries of AI research and development, making the most of the resources available at their fingertips.