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Alternatives to Consider
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Compute with HivenetHivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe. Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint. Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside compute.
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IONOS Cloud GPU ServersIONOS provides GPU Servers that create a powerful computing environment tailored for handling tasks requiring much greater power than conventional CPU systems can offer. This setup includes high-quality NVIDIA GPUs, such as the H100, H200, and L40s, alongside dedicated AI accelerators like Intel Gaudi, which support extensive parallel processing for resource-intensive applications. With GPU-accelerated instances, the cloud infrastructure is further improved by integrating dedicated graphical processors, allowing virtual machines to perform complex calculations and manage data-heavy operations considerably more swiftly than standard servers. This solution is particularly advantageous in sectors like artificial intelligence, deep learning, and data science, where it is crucial to train models on large datasets or conduct fast inference processes. Additionally, it supports big data analytics, scientific simulations, and visualization tasks requiring significant computational strength, such as 3D rendering and modeling. Consequently, organizations aiming to enhance their processing power for intricate workloads can reap substantial benefits from this sophisticated infrastructure, making it an ideal choice for modern computational demands. Moreover, the flexibility of this service allows businesses to scale their resources according to project requirements, ensuring efficient performance across various applications.
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RunpodRunpod 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.
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Google Compute EngineGoogle's Compute Engine, which falls under the category of infrastructure as a service (IaaS), enables businesses to create and manage virtual machines in the cloud. This platform facilitates cloud transformation by offering computing infrastructure in both standard sizes and custom machine configurations. General-purpose machines, like the E2, N1, N2, and N2D, strike a balance between cost and performance, making them suitable for a variety of applications. For workloads that demand high processing power, compute-optimized machines (C2) deliver superior performance with advanced virtual CPUs. Memory-optimized systems (M2) are tailored for applications requiring extensive memory, making them perfect for in-memory database solutions. Additionally, accelerator-optimized machines (A2), which utilize A100 GPUs, cater to applications that have high computational demands. Users can integrate Compute Engine with other Google Cloud Services, including AI and machine learning or data analytics tools, to enhance their capabilities. To maintain sufficient application capacity during scaling, reservations are available, providing users with peace of mind. Furthermore, financial savings can be achieved through sustained-use discounts, and even greater savings can be realized with committed-use discounts, making it an attractive option for organizations looking to optimize their cloud spending. Overall, Compute Engine is designed not only to meet current needs but also to adapt and grow with future demands.
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Servers.com by NexcessServers.com by Nexcess specializes in hybrid bare metal cloud infrastructure that combines dedicated server performance with the flexibility of modern cloud environments. The company offers multiple hosting solutions, including Scalable Bare Metal, Enterprise Bare Metal, AI Compute, and Managed Kubernetes, allowing businesses to choose the resources that best fit their workloads. Its platform is designed to simplify infrastructure management while delivering the reliability required for business-critical applications. With access to a globally distributed network of data centers, organizations can improve application delivery and reduce latency for customers in key markets worldwide. Servers.com supports a broad range of industries, including gaming, fintech, adtech, streaming, iGaming, SaaS, and Web3. The infrastructure is optimized to accommodate both predictable workloads and sudden increases in demand. Dedicated bare metal resources provide enhanced performance, security, and workload isolation compared to shared environments. GPU-powered computing options enable organizations to support artificial intelligence and machine learning initiatives with greater efficiency. Managed Kubernetes services help businesses deploy and manage containerized applications without the complexity of maintaining underlying infrastructure. High-capacity networking and direct carrier connectivity contribute to consistent application performance and availability. By combining scalability, customization, and global reach, Servers.com helps organizations build infrastructure capable of supporting long-term growth and evolving technical requirements.
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Nexcess Digital CloudNexcess Digital Cloud operates as a managed hosting and cloud infrastructure provider, focused on delivering reliable, secure, and high-performance hosting services designed for businesses of all sizes. Their diverse portfolio includes managed dedicated servers, cloud dedicated hosting, managed VPS hosting, and tailored environments for platforms like WordPress, WooCommerce, and Magento. Targeting organizations that require superior uptime and professional support, Nexcess Digital Cloud combines enterprise-level infrastructure with fully managed services, guaranteeing that proactive technical assistance is always at hand. Their hosting solutions are carefully crafted for optimal performance, security, scalability, and continuous business operations, enabling clients to prioritize their growth without the burden of server management. Additionally, customers enjoy the support of a dedicated team of hosting experts available around the clock to assist with deployment, maintenance, troubleshooting, and optimization, which ensures a smooth user experience. This unwavering dedication to providing exceptional service distinguishes Nexcess in the highly competitive realm of digital solutions, fostering trust and loyalty among its client base. Ultimately, clients can expect a partnership that not only meets their hosting needs but also propels their business forward.
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Gr4vyGr4vy empowers businesses to grow and launch new services and opportunities without the burden of extra costs, resources, or development time. With our cloud-based system, managing payment methods, services, and transactions becomes streamlined and centralized, significantly lowering the chances of single points of failure and vulnerabilities associated with shared infrastructure. By providing a wide range of options, from local payment methods to buy-now-pay-later solutions, Gr4vy enriches the checkout experience for customers, ensuring they have greater flexibility with just a few clicks. Our no-code tools make it incredibly easy to add, test, and deploy new payment providers in just minutes, negating the need for lengthy development processes. In using Gr4vy, businesses incur costs solely for the services they actively use, which simplifies both our platform and pricing structures. There are no cumbersome flat rates or per-transaction fees; rather, Gr4vy scales alongside your business, offering an ever-expanding selection of payment options, services, and providers as your needs change, ensuring you are always ready to tackle future challenges. This dedication to flexibility and growth allows you to concentrate on what truly matters—advancing your business and achieving its goals. Ultimately, Gr4vy not only enhances operational efficiency but also positions your business for long-term success in an evolving market.
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AiraloEffortlessly maintain connectivity across more than 200 countries and regions. By installing an eSIM, you can access the internet within minutes without facing any roaming fees—offering a simple and cost-effective solution for global connectivity. This cutting-edge technology is built directly into your device, operating like a traditional SIM card but entirely in a digital realm. Instead of managing a physical SIM card, you can purchase an eSIM, configure it on your device, and instantly connect to a mobile network once you reach your destination. Say goodbye to physical SIMs, unreliable Wi-Fi access, and surprise roaming charges—enjoy a seamless, affordable, and flexible connectivity experience. You can choose from a range of prepaid eSIM options—whether local, regional, or global—to ensure you stay connected in over 200 countries and regions around the globe. With just a download and some simple setup, you can link to a mobile network the moment you arrive, enhancing your travel experience with convenience and ease. This advancement is a game-changer, fundamentally transforming how we maintain connectivity while exploring the world. Ultimately, eSIM technology empowers travelers to navigate new environments with greater confidence.
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RouteGenieRouteGenie is NEMT software running medical transportation operations at scale: 600+ fleets, 20,000+ vehicles, 46 states and two countries, approximately 50,000 trips every day. Where operators feel it: schedules rebuild automatically with native multiload, not by hand; broker trips flow in and statuses flow back across 28 live integrations including ModivCare, MTM, Veyo, Verida, SafeRide Health, Alivi, MAS and Uber Health; Medicaid billing, CMS 1500, claim scrubbing and denial management live in the same system as dispatch. Multi-site operators run every location in one instance with role-based access and a complete audit trail on every trip change. Enterprise administration comes standard: SAML2 SSO, single-tenant deployment with per-customer data isolation, SOC 2 Type 1 attestation, HIPAA-aligned controls and BAAs, open REST API. Pricing is flat per vehicle with unlimited trips and unlimited users — cost tracks fleet size, not trip volume or headcount, so total cost does not climb as volume grows. Enterprise agreements include dedicated implementation, named support and RFP support. No fleet minimum.
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KrakenDDesigned for optimal performance and effective resource management, KrakenD is capable of handling an impressive 70,000 requests per second with just a single instance. Its stateless architecture promotes effortless scalability, eliminating the challenges associated with database maintenance or node synchronization. When it comes to features, KrakenD excels as a versatile solution. It supports a variety of protocols and API specifications, providing detailed access control, data transformation, and caching options. An exceptional aspect of its functionality is the Backend For Frontend pattern, which harmonizes multiple API requests into a unified response, thereby enhancing the client experience. On the security side, KrakenD adheres to OWASP standards and is agnostic to data types, facilitating compliance with various regulations. Its user-friendly nature is bolstered by a declarative configuration and seamless integration with third-party tools. Furthermore, with its community-driven open-source edition and clear pricing structure, KrakenD stands out as the preferred API Gateway for enterprises that prioritize both performance and scalability without compromise, making it a vital asset in today's digital landscape.
What is GPUBank?
GPUBank operates as a cloud-based service that allows developers, machine-learning professionals, and research teams to lease GPU resources, thereby improving their AI and GPU-heavy tasks. The user-friendly web console enables users to choose between NVIDIA or AMD GPU instances, select a preferred deployment region, and launch pre-set configurations for diverse applications such as model training, inference, fine-tuning, image generation, and framework development. With an array of templates like PyTorch, vLLM, ComfyUI, and Ollama, GPUBank caters to varying project requirements effectively. Furthermore, the platform enhances usability by offering an API, a command-line interface, a Python SDK, and a Terraform provider to streamline resource management and provisioning. GPU compute pricing is billed by the second and includes charges for the CPU, memory, local NVMe storage, public IPv4, and network traffic associated with the selected instance's hourly rate, while additional fees apply for persistent disks. Users can choose from on-demand, interruptible, or reserved capacities across multiple data center locations, allowing them to customize their resource allocation based on specific project needs. This flexibility not only ensures efficiency but also positions GPUBank as an attractive solution for those aiming to manage their computational expenses strategically. As a result, it significantly enhances the overall productivity and effectiveness of various computational projects.
What is Amazon EC2 P4 Instances?
Amazon's EC2 P4d instances are designed to deliver outstanding performance for machine learning training and high-performance computing applications within the cloud. Featuring NVIDIA A100 Tensor Core GPUs, these instances are capable of achieving impressive throughput while offering low-latency networking that supports a remarkable 400 Gbps instance networking speed. P4d instances serve as a budget-friendly option, allowing businesses to realize savings of up to 60% during the training of machine learning models and providing an average performance boost of 2.5 times for deep learning tasks when compared to previous P3 and P3dn versions. They are often utilized in large configurations known as Amazon EC2 UltraClusters, which effectively combine high-performance computing, networking, and storage capabilities. This architecture enables users to scale their operations from just a few to thousands of NVIDIA A100 GPUs, tailored to their particular project needs. A diverse group of users, such as researchers, data scientists, and software developers, can take advantage of P4d instances for a variety of machine learning tasks including natural language processing, object detection and classification, as well as recommendation systems. Additionally, these instances are well-suited for high-performance computing endeavors like drug discovery and intricate data analyses. The blend of remarkable performance and the ability to scale effectively makes P4d instances an exceptional option for addressing a wide range of computational challenges, ensuring that users can meet their evolving needs efficiently.
Media
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Integrations Supported
AWS Batch
AWS Deep Learning AMIs
AWS Deep Learning Containers
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 Trn1 Instances
API Availability
Has API
API Availability
Pricing Information
$0.23/GPU/hour
On-demand RTX 4090 compute starts at $0.23 per GPU-hour, billed by the second with no minimum compute duration. Prices are in USD and exclude VAT. Customers add funds to a prepaid balance using cryptocurrency, with a $25 minimum top-up. Compute price includes vCPU, RAM, local NVMe, one public IPv4 address, and traffic. Persistent disk is $0.03 per GB-month. Interruptible and reserved rates are available at discounts from on-demand pricing.
Pricing Information
$11.57 per hour
Supported Platforms
SaaS
Supported Platforms
SaaS
Linux
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Webinars
On-Site Training
Company Facts
Organization Name
GPU Compute
Date Founded
2026
Company Location
Estonia
Company Website
gpubank.io
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/ec2/instance-types/p4/
Categories and Features
Cloud GPU
Not specified