Top NeevCloud Alternatives

Gemini Enterprise Agent Platform is an advanced AI infrastructure from Google Cloud that enables organizations to build and manage intelligent agents at scale. As the evolution of Vertex AI, it consolidates model development, agent creation, and deployment into a unified platform. The system provides access to a diverse library of over 200 AI models, including cutting-edge Gemini models and leading third-party solutions. It supports both low-code and full-code development, giving teams flexibility in how they design and deploy agents. With capabilities like Agent Runtime, organizations can run high-performance agents that handle long-duration tasks and complex workflows. The Memory Bank feature allows agents to retain long-term context, improving personalization and decision-making. Security is a core focus, with tools like Agent Identity, Registry, and Gateway ensuring compliance, traceability, and controlled access. The platform also integrates seamlessly with enterprise systems, enabling agents to connect with data sources, applications, and operational tools. Real-time monitoring and observability features provide visibility into agent reasoning and execution. Simulation and evaluation tools allow teams to test and refine agents before and after deployment. Automated optimization further enhances agent performance by identifying issues and suggesting improvements. The platform supports multi-agent orchestration, enabling agents to collaborate and complete complex tasks efficiently. Overall, it transforms AI from a productivity tool into a fully autonomous operational capability for modern enterprises.

Runpod offers a robust cloud infrastructure designed for effortless deployment and scalability of AI workloads utilizing GPU-powered pods. By providing a diverse selection of NVIDIA GPUs, including options like the A100 and H100, Runpod ensures that machine learning models can be trained and deployed with high performance and minimal latency. The platform prioritizes user-friendliness, enabling users to create pods within seconds and adjust their scale dynamically to align with demand. Additionally, features such as autoscaling, real-time analytics, and serverless scaling contribute to making Runpod an excellent choice for startups, academic institutions, and large enterprises that require a flexible, powerful, and cost-effective environment for AI development and inference. Furthermore, this adaptability allows users to focus on innovation rather than infrastructure management.

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.

CoreWeave distinguishes itself as a cloud infrastructure provider dedicated to GPU-driven computing solutions tailored for artificial intelligence applications. Their platform provides scalable and high-performance GPU clusters that significantly improve both the training and inference phases of AI models, serving industries like machine learning, visual effects, and high-performance computing. Beyond its powerful GPU offerings, CoreWeave also features flexible storage, networking, and managed services that support AI-oriented businesses, highlighting reliability, cost-efficiency, and exceptional security protocols. This adaptable platform is embraced by AI research centers, labs, and commercial enterprises seeking to accelerate their progress in artificial intelligence technology. By delivering infrastructure that aligns with the unique requirements of AI workloads, CoreWeave is instrumental in fostering innovation across multiple sectors, ultimately helping to shape the future of AI applications. Moreover, their commitment to continuous improvement ensures that clients remain at the forefront of technological advancements.

Parasail is an innovative network designed for the deployment of artificial intelligence, providing scalable and cost-efficient access to high-performance GPUs that cater to various AI applications. The platform includes three core services: serverless endpoints for real-time inference, dedicated instances for the deployment of private models, and batch processing options for managing extensive tasks. Users have the flexibility to either implement open-source models such as DeepSeek R1, LLaMA, and Qwen or deploy their own models, supported by a permutation engine that effectively matches workloads to hardware, including NVIDIA’s H100, H200, A100, and 4090 GPUs. The platform's focus on rapid deployment enables users to scale from a single GPU to large clusters within minutes, resulting in significant cost reductions, often cited as being up to 30 times cheaper than conventional cloud services. In addition, Parasail provides day-zero availability for new models and features a user-friendly self-service interface that eliminates the need for long-term contracts and prevents vendor lock-in, thereby enhancing user autonomy and flexibility. This unique combination of offerings positions Parasail as an appealing option for those seeking to utilize advanced AI capabilities without facing the typical limitations associated with traditional cloud computing solutions, ensuring that users can stay ahead in the rapidly evolving tech landscape.

TensorWave is a dedicated cloud platform tailored for artificial intelligence and high-performance computing, exclusively leveraging AMD Instinct Series GPUs to guarantee peak performance. It boasts a robust infrastructure that is both high-bandwidth and memory-optimized, allowing it to effortlessly scale to meet the demands of even the most challenging training or inference workloads. Users can quickly access AMD’s premier GPUs within seconds, including cutting-edge models like the MI300X and MI325X, which are celebrated for their impressive memory capacity and bandwidth, featuring up to 256GB of HBM3E and speeds reaching 6.0TB/s. The architecture of TensorWave is enhanced with UEC-ready capabilities, advancing the future of Ethernet technology for AI and HPC networking, while its direct liquid cooling systems contribute to a significantly lower total cost of ownership, yielding energy savings of up to 51% in data centers. The platform also integrates high-speed network storage, delivering transformative enhancements in performance, security, and scalability essential for AI workflows. In addition, TensorWave ensures smooth compatibility with a diverse array of tools and platforms, accommodating multiple models and libraries to enrich the user experience. This platform not only excels in performance and efficiency but also adapts to the rapidly changing landscape of AI technology, solidifying its role as a leader in the industry. Overall, TensorWave is committed to empowering users with cutting-edge solutions that drive innovation and productivity in AI initiatives.

Compute with Hivenet is an efficient and budget-friendly cloud computing service that provides instant access to RTX 4090 GPUs. Tailored for tasks involving AI model training and other computation-heavy operations, Compute ensures secure, scalable, and dependable GPU resources at a significantly lower price than conventional providers. Equipped with real-time usage monitoring, an intuitive interface, and direct SSH access, Compute simplifies the process of launching and managing AI workloads, allowing developers and businesses to expedite their initiatives with advanced computing capabilities. Additionally, Compute is an integral part of the Hivenet ecosystem, which comprises a wide range of distributed cloud solutions focused on sustainability, security, and cost-effectiveness. By utilizing Hivenet, users can maximize the potential of their underused hardware to help build a robust and distributed cloud infrastructure that benefits all participants. This innovative approach not only enhances computational power but also fosters a collaborative environment for technology advancement.

The Intel® Tiber™ AI Cloud is a powerful platform designed to effectively scale artificial intelligence tasks by leveraging advanced computing technologies. It incorporates specialized AI hardware, featuring products like the Intel Gaudi AI Processor and Max Series GPUs, which optimize model training, inference, and deployment processes. This cloud solution is specifically crafted for enterprise applications, enabling developers to build and enhance their models utilizing popular libraries such as PyTorch. Furthermore, it offers a range of deployment options and secure private cloud solutions, along with expert support, ensuring seamless integration and swift deployment that significantly improves model performance. By providing such a comprehensive package, Intel Tiber™ empowers organizations to fully exploit the capabilities of AI technologies and remain competitive in an evolving digital landscape. Ultimately, it stands as an essential resource for businesses aiming to drive innovation and efficiency through artificial intelligence.

Core42 specializes in providing sovereign AI and cloud solutions that empower individuals, organizations, and nations to fully leverage AI's potential through a secure, scalable, and robust infrastructure. Their AI Cloud acts as an all-encompassing platform that addresses the entire intelligence lifecycle, which includes data movement, training, optimization, fine-tuning, deployment, governance, and production inference. By granting access to high-performance accelerators, integrated tools, orchestration, advanced storage solutions, and expert guidance, it allows AI developers to train, fine-tune, and deploy agentic workloads and inference tasks with greater efficiency. Furthermore, the Core42 AI Cloud supports GenAI services, model hosting, AI operations, and infrastructure as a service, enabling teams to confidently and quickly develop and scale cutting-edge AI applications. Core42’s GenAI offerings also promote rapid innovation by supplying agents, retrieval-augmented generation, guardrails, and fine-tuning capabilities, which help users maintain a competitive edge in the fast-evolving AI arena. In addition to enhancing productivity, this holistic approach significantly propels advancements in AI technology, making it an invaluable resource in today's digital landscape. As a result, Core42 stands out as a leader in the AI solutions sector, shaping the future of intelligent technology.

Skyportal is an innovative cloud platform that leverages GPUs specifically crafted for AI professionals, offering a remarkable 50% cut in cloud costs while ensuring full GPU performance. It provides a cost-effective GPU framework designed for machine learning, eliminating the unpredictability of variable cloud pricing and hidden fees. The platform seamlessly integrates with Kubernetes, Slurm, PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers, all meticulously optimized for Ubuntu 22.04 LTS and 24.04 LTS, allowing users to focus on creativity and expansion without hurdles. Users can take advantage of high-performance NVIDIA H100 and H200 GPUs, which are specifically tailored for machine learning and AI endeavors, along with immediate scalability and 24/7 expert assistance from a skilled team well-versed in ML processes and enhancement tactics. Furthermore, Skyportal’s transparent pricing structure and the elimination of egress charges guarantee stable financial planning for AI infrastructure. Users are invited to share their AI/ML project requirements and aspirations, facilitating the deployment of models within the infrastructure via familiar tools and frameworks while adjusting their infrastructure capabilities as needed. By fostering a collaborative environment, Skyportal not only simplifies workflows for AI engineers but also enhances their ability to innovate and manage expenditures effectively. This unique approach positions Skyportal as a key player in the cloud services landscape for AI development.

WhiteFiber functions as an all-encompassing AI infrastructure platform that focuses on providing high-performance GPU cloud services and HPC colocation solutions tailored specifically for applications in artificial intelligence and machine learning. Their cloud offerings are meticulously crafted for machine learning tasks, extensive language models, and deep learning, and they boast cutting-edge NVIDIA H200, B200, and GB200 GPUs, in conjunction with ultra-fast Ethernet and InfiniBand networking, which enables remarkable GPU fabric bandwidth reaching up to 3.2 Tb/s. With a versatile scaling capacity that ranges from hundreds to tens of thousands of GPUs, WhiteFiber presents a variety of deployment options, including bare metal, containerized applications, and virtualized configurations. The platform ensures enterprise-grade support and service level agreements (SLAs), integrating distinctive tools for cluster management, orchestration, and observability. Furthermore, WhiteFiber’s data centers are meticulously designed for AI and HPC colocation, incorporating high-density power systems, direct liquid cooling, and expedited deployment capabilities, while also maintaining redundancy and scalability through cross-data center dark fiber connectivity. Committed to both innovation and dependability, WhiteFiber emerges as a significant contributor to the landscape of AI infrastructure, continually adapting to meet the evolving demands of its clients and the industry at large.

GMI Cloud offers an end-to-end ecosystem for companies looking to build, deploy, and scale AI applications without infrastructure limitations. Its Inference Engine 2.0 is engineered for speed, featuring instant deployment, elastic scaling, and ultra-efficient resource usage to support real-time inference workloads. The platform gives developers immediate access to leading open-source models like DeepSeek R1, Distilled Llama 70B, and Llama 3.3 Instruct Turbo, allowing them to test reasoning capabilities quickly. GMI Cloud’s GPU infrastructure pairs top-tier hardware with high-bandwidth InfiniBand networking to eliminate throughput bottlenecks during training and inference. The Cluster Engine enhances operational efficiency with automated container management, streamlined virtualization, and predictive scaling controls. Enterprise security, granular access management, and global data center distribution ensure reliable and compliant AI operations. Users gain full visibility into system activity through real-time dashboards, enabling smarter optimization and faster iteration. Case studies show dramatic improvements in productivity and cost savings for companies deploying production-scale AI pipelines on GMI Cloud. Its collaborative engineering support helps teams overcome complex model deployment challenges. In essence, GMI Cloud transforms AI development into a seamless, scalable, and cost-effective experience across the entire lifecycle.

Mistral Compute is a dedicated AI infrastructure platform that offers a full private stack, which includes GPUs, orchestration, APIs, products, and services, available in a range of configurations from bare-metal servers to completely managed PaaS solutions. The platform aims to expand access to cutting-edge AI technologies beyond a select few providers, empowering governments, businesses, and research institutions to design, manage, and optimize their entire AI ecosystem while training and executing various workloads on a wide selection of NVIDIA-powered GPUs, all supported by reference architectures developed by experts in high-performance computing. It addresses specific regional and sectoral demands, such as those in defense technology, pharmaceutical research, and financial services, while leveraging four years of operational expertise and a strong commitment to sustainability through decarbonized energy, ensuring compliance with stringent European data-sovereignty regulations. Moreover, Mistral Compute’s architecture not only focuses on delivering high performance but also encourages innovation by enabling users to scale and tailor their AI applications according to their evolving needs, thereby fostering a more dynamic and responsive technological landscape. This adaptability ensures that organizations can remain competitive and agile in the rapidly changing world of AI.

Novita AI is an end-to-end AI cloud platform that unifies model serving, agent execution, and GPU infrastructure into a single developer-focused ecosystem. The platform enables organizations to access hundreds of large language models and multimodal AI models through serverless APIs, deploy dedicated endpoints for guaranteed performance, run autonomous AI agents in secure isolated sandboxes, and leverage GPU resources ranging from on-demand instances to bare-metal clusters. Designed for modern AI development, Novita AI supports inference, training, automation, research, and agentic workflows while providing low-latency performance, enterprise-grade reliability, and scalable infrastructure. By consolidating Model APIs, Agent Sandbox environments, and GPU Cloud services into one platform, Novita AI simplifies AI deployment and helps businesses accelerate innovation while reducing operational complexity and infrastructure costs.

Foundry introduces a groundbreaking model of public cloud that leverages an orchestration platform, making access to AI computing as simple as flipping a switch. Explore the remarkable features of our GPU cloud services, meticulously designed for top-tier performance and consistent reliability. Whether you're managing training initiatives, responding to client demands, or meeting research deadlines, our platform caters to a variety of requirements. Notably, major companies have invested years in developing infrastructure teams focused on sophisticated cluster management and workload orchestration, which alleviates the burdens of hardware management. Foundry levels the playing field, empowering all users to tap into computational capabilities without the need for extensive support teams. In today's GPU market, resources are frequently allocated on a first-come, first-served basis, leading to fluctuating pricing across vendors and presenting challenges during peak usage times. Nonetheless, Foundry employs an advanced mechanism that ensures exceptional price performance, outshining competitors in the industry. By doing so, we aim to unlock the full potential of AI computing for every user, allowing them to innovate without the typical limitations of conventional systems, ultimately fostering a more inclusive technological environment.

Verda is a premium AI infrastructure platform built to accelerate modern machine learning workflows. It provides high-end GPU servers, clusters, and inference services without the friction of traditional cloud providers. Developers can instantly deploy NVIDIA Blackwell-based GPU clusters ranging from 16 to 128 GPUs. Each node is equipped with massive GPU memory, high-core CPUs, and ultra-fast networking. Verda supports both training and inference at scale through managed clusters and serverless endpoints. The platform is designed for rapid iteration, allowing teams to launch workloads in minutes. Pay-as-you-go pricing ensures cost efficiency without long-term commitments. Verda emphasizes performance, offering dedicated hardware for maximum speed and isolation. Security and compliance are built into the platform from day one. Expert engineers are available to support users directly. All infrastructure is powered by 100% renewable energy. Verda enables organizations to focus on AI innovation instead of infrastructure complexity.

The NVIDIA DGX Cloud offers a robust AI infrastructure as a service, streamlining the process of deploying extensive AI models and fostering rapid innovation. This platform presents a wide array of tools tailored for machine learning, deep learning, and high-performance computing, allowing enterprises to execute their AI tasks effectively in the cloud. Additionally, its effortless integration with leading cloud services provides the scalability, performance, and adaptability required to address intricate AI challenges, while also removing the burdens associated with on-site hardware management. This makes it an invaluable resource for organizations looking to harness the power of AI without the typical constraints of physical infrastructure.

IREN's AI Cloud represents an advanced GPU cloud infrastructure that leverages NVIDIA's reference architecture, paired with a high-speed InfiniBand network boasting a capacity of 3.2 TB/s, specifically designed for intensive AI training and inference workloads via its bare-metal GPU clusters. This innovative platform supports a wide range of NVIDIA GPU models and is equipped with substantial RAM, virtual CPUs, and NVMe storage to cater to various computational demands. Under IREN's complete management and vertical integration, the service guarantees clients operational flexibility, strong reliability, and all-encompassing 24/7 in-house support. Users benefit from performance metrics monitoring, allowing them to fine-tune their GPU usage while ensuring secure, isolated environments through private networking and tenant separation. The platform empowers clients to deploy their own data, models, and frameworks such as TensorFlow, PyTorch, and JAX, while also supporting container technologies like Docker and Apptainer, all while providing unrestricted root access. Furthermore, it is expertly optimized to handle the scaling needs of intricate applications, including the fine-tuning of large language models, thereby ensuring efficient resource allocation and outstanding performance for advanced AI initiatives. Overall, this comprehensive solution is ideal for organizations aiming to maximize their AI capabilities while minimizing operational hurdles.

Lambda delivers a supercomputing cloud purpose-built for the era of superintelligence, providing organizations with AI factories engineered for maximum density, cooling efficiency, and GPU performance. Its infrastructure combines high-density power delivery with liquid-cooled NVIDIA systems, enabling stable operation for the largest AI training and inference tasks. Teams can launch single GPU instances in minutes, deploy fully optimized HGX clusters through 1-Click Clusters™, or operate entire GB300 NVL72 superclusters with NVIDIA Quantum-2 InfiniBand networking for ultra-low latency. Lambda’s single-tenant architecture ensures uncompromised security, with hardware-level isolation, caged cluster options, and SOC 2 Type II compliance. Enterprise users can confidently run sensitive workloads knowing their environment follows mission-critical standards. The platform provides access to cutting-edge GPUs, including NVIDIA GB300, HGX B300, HGX B200, and H200 systems designed for frontier-scale AI performance. From foundation model training to global inference serving, Lambda offers compute that grows with an organization’s ambitions. Its infrastructure serves startups, research institutions, government agencies, and enterprises pushing the limits of AI innovation. Developers benefit from streamlined orchestration, the Lambda Stack, and deep integration with modern distributed AI workflows. With rapid onboarding and the ability to scale from a single GPU to hundreds of thousands, Lambda is the backbone for teams entering the race to superintelligence.

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.

Atlas Cloud is a full-modal AI inference platform created to support modern AI development at scale. It allows developers to run chat, reasoning, image, audio, and video models through one unified API. By removing the need to juggle multiple vendors, Atlas Cloud simplifies AI experimentation and deployment. The platform provides access to over 300 production-ready models from leading AI providers worldwide. Developers can explore, test, and fine-tune models instantly using the Atlas Playground. Atlas Cloud is built on high-performance infrastructure that ensures low latency and stable throughput in production environments. Cost-efficient pricing helps teams optimize AI spending without compromising output quality. Serverless inference enables rapid scaling with minimal operational overhead. Agent solutions help automate workflows and reduce engineering complexity. GPU Cloud services support advanced workloads and custom deployments. Atlas Cloud meets enterprise security standards with SOC I and II certifications and HIPAA compliance. It gives teams the tools they need to build, deploy, and scale AI applications faster.

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.

Sesterce offers a comprehensive AI cloud platform designed to meet the needs of industries with high-performance demands. With access to cutting-edge GPU-powered cloud and bare metal solutions, businesses can deploy machine learning and inference models at scale. The platform includes features like virtualized clusters, accelerated pipelines, and real-time data intelligence, enabling companies to optimize workflows and improve performance. Whether in healthcare, finance, or media, Sesterce provides scalable, secure infrastructure that helps businesses drive AI innovation while maintaining cost efficiency.

Radiant is a next-generation AI infrastructure platform that provides a fully integrated approach to building and operating large-scale AI systems. It combines advanced AI Cloud capabilities, high-performance GPU compute, global energy resources, and substantial capital backing into a single ecosystem. The platform includes NVIDIA-accelerated infrastructure with MLOps tools such as inference, fine-tuning, model registry, and serverless orchestration. Its proprietary software architecture enables intelligent scheduling, automated management, and secure multi-tenant environments, ensuring efficient and scalable operations. Radiant supports deployments ranging from small clusters to massive GPU-scale environments, delivering consistent performance across all levels. Its powered-land strategy provides access to renewable and cost-efficient energy sources, reducing operational costs and improving sustainability. Backed by significant investment capital, Radiant is positioned to support large-scale AI infrastructure projects worldwide. The platform is designed to give organizations full control over their AI operations, from hardware to software. It enables faster deployment of AI workloads while maintaining high levels of performance and reliability. Radiant is particularly suited for building “AI factories” that power large-scale innovation. Overall, it represents a comprehensive and scalable solution for modern AI infrastructure needs.

Phala is transforming AI deployment by offering a confidential compute architecture that protects sensitive workloads with hardware-level guarantees. Built on advanced TEE technology, Phala ensures that code, data, and model outputs remain private—even from administrators, cloud providers, and hypervisors. Its catalog of confidential AI models spans leaders like OpenAI, Google, Meta, DeepSeek, and Qwen, all deployable in encrypted GPU environments within minutes. Phala’s GPU TEE system supports NVIDIA H100, H200, and B200 chips, delivering approximately 95% of native performance while maintaining 100% data privacy. Through Phala Cloud, developers can write code, package it using Docker, and launch trustless applications backed by automatic encryption and cryptographic attestation. This enables private inference, confidential training, secure fine-tuning, and compliant data processing without handling hardware complexities. Phala’s infrastructure is built for enterprise needs, offering SOC 2 Type II certification, HIPAA-ready environments, GDPR-compliant processing, and a record of zero security breaches. Real-world customer outcomes include cost-reduced financial compliance workflows, privacy-preserving medical research, fully verifiable autonomous agents, and secure AI SaaS deployments. With thousands of active teams and millions in annual recurring usage, Phala has become a critical privacy layer for companies deploying sensitive AI workloads. It provides the secure, transparent, and scalable environment required for building AI systems people can confidently trust.

Together AI powers the next generation of AI-native software with a cloud platform designed around high-efficiency training, fine-tuning, and large-scale inference. Built on research-driven optimizations, the platform enables customers to run massive workloads—often reaching trillions of tokens—without bottlenecks or degraded performance. Its GPU clusters are engineered for peak throughput, offering self-service NVIDIA infrastructure, instant provisioning, and optimized distributed training configurations. Together AI’s model library spans open-source giants, specialized reasoning models, multimodal systems for images and videos, and high-performance LLMs like Qwen3, DeepSeek-V3.1, and GPT-OSS. Developers migrating from closed-model ecosystems benefit from API compatibility and flexible inference solutions. Innovations such as the ATLAS runtime-learning accelerator, FlashAttention, RedPajama datasets, Dragonfly, and Open Deep Research demonstrate the company’s leadership in AI systems research. The platform's fine-tuning suite supports larger models and longer contexts, while the Batch Inference API enables billions of tokens to be processed at up to 50% lower cost. Customer success stories highlight breakthroughs in inference speed, video generation economics, and large-scale training efficiency. Combined with predictable performance and high availability, Together AI enables teams to deploy advanced AI pipelines rapidly and reliably. For organizations racing toward large-scale AI innovation, Together AI provides the infrastructure, research, and tooling needed to operate at frontier-level performance.

Enhance your computational efficiency with a variety of GPUs designed for both machine learning and high-performance computing (HPC), catering to different performance levels and budgetary needs. With flexible pricing options and customizable systems, you can optimize your hardware configuration to boost your productivity. Google Cloud provides powerful GPU options that are perfect for tasks in machine learning, scientific research, and 3D graphics rendering. The available GPUs include models like the NVIDIA K80, P100, P4, T4, V100, and A100, each offering distinct performance capabilities to fit varying financial and operational demands. You have the ability to balance factors such as processing power, memory, high-speed storage, and can utilize up to eight GPUs per instance, ensuring that your setup aligns perfectly with your workload requirements. Benefit from per-second billing, which allows you to only pay for the resources you actually use during your operations. Take advantage of GPU functionalities on the Google Cloud Platform, where you can access top-tier solutions for storage, networking, and data analytics. The Compute Engine simplifies the integration of GPUs into your virtual machine instances, presenting a streamlined approach to boosting processing capacity. Additionally, you can discover innovative applications for GPUs and explore the range of GPU hardware options to elevate your computational endeavors, potentially transforming the way you approach complex 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.

OneSource Cloud focuses on designing, constructing, and overseeing sovereign AI infrastructure specifically for organizations operating in regulated industries where public cloud services are not viable for sensitive tasks, including sectors like healthcare, financial services, government, energy, legal, and research. Our offerings comprise dedicated GPU compute as a managed service, which involves cluster design, hardware procurement, data center colocation, deployment, and continuous maintenance. These clusters utilize NVIDIA GPUs linked through InfiniBand to enable effective multi-node training and inference, supplemented by high-performance storage and exclusive private networking. Each client enjoys a distinct, isolated environment that guarantees their data and models are never shared with others, thereby preserving confidentiality and security. In addition, our managed services encompass capacity planning, provisioning, workload scheduling, system monitoring, patch management, and customer support, ensuring a comprehensive approach to client needs. Each setup is carefully tailored to adhere to the client’s compliance requirements, including critical regulations like NIST 800-171 and specific data residency mandates. Currently, we manage a fleet of over 20,000 GPUs across more than 96 data centers, which allows us to effectively address the intricate demands of our clients in a landscape where data sensitivity is paramount. This vast infrastructure not only enhances our capability to provide secure AI solutions but also solidifies our position as a frontrunner in serving organizations that must navigate stringent regulatory landscapes while leveraging advanced technology.

FPT Cloud stands out as a cutting-edge cloud computing and AI platform aimed at fostering innovation through an extensive and modular collection of over 80 services, which cover computing, storage, databases, networking, security, AI development, backup, disaster recovery, and data analytics, all while complying with international standards. Its offerings include scalable virtual servers that feature auto-scaling and guarantee 99.99% uptime; infrastructure optimized for GPU utilization to support AI and machine learning initiatives; the FPT AI Factory, which encompasses a full suite for the AI lifecycle powered by NVIDIA's supercomputing capabilities, including infrastructure setup, model pre-training, fine-tuning, and AI notebooks; high-performance object and block storage solutions that are S3-compatible and encrypted for enhanced security; a Kubernetes Engine that streamlines managed container orchestration with the flexibility of operating across various cloud environments; and managed database services that cater to both SQL and NoSQL databases. Furthermore, the platform integrates advanced security protocols, including next-generation firewalls and web application firewalls, complemented by centralized monitoring and activity logging features, reinforcing a comprehensive approach to cloud solutions. This versatile platform is tailored to address the varied demands of contemporary enterprises, positioning itself as a significant contributor to the rapidly changing cloud technology landscape. FPT Cloud effectively supports organizations in their quest to leverage cloud solutions for greater efficiency and innovation.