Zerops Description
Zerops.io serves as a cloud solution tailored for developers focused on creating contemporary applications, providing features such as automatic vertical and horizontal autoscaling, precise resource management, and freedom from vendor lock-in. The platform enhances infrastructure management through capabilities like automated backups, failover options, CI/CD integration, and comprehensive observability.
Zerops.io adapts effortlessly to the evolving requirements of your project, guaranteeing maximum performance and cost-effectiveness throughout the development lifecycle, while also accommodating microservices and intricate architectures. It is particularly beneficial for developers seeking a combination of flexibility, scalability, and robust automation without the hassle of complex setups. This ensures a streamlined experience that empowers developers to focus on innovation rather than infrastructure.
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RunPod
RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.
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Google Compute Engine
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Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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NVIDIA DGX Cloud Serverless Inference
NVIDIA DGX Cloud Serverless Inference provides a cutting-edge, serverless AI inference framework designed to expedite AI advancements through automatic scaling, efficient GPU resource management, multi-cloud adaptability, and effortless scalability. This solution enables users to reduce instances to zero during idle times, thereby optimizing resource use and lowering expenses. Importantly, there are no additional charges incurred for cold-boot startup durations, as the system is engineered to keep these times to a minimum. The service is driven by NVIDIA Cloud Functions (NVCF), which includes extensive observability capabilities, allowing users to integrate their choice of monitoring tools, such as Splunk, for detailed visibility into their AI operations. Furthermore, NVCF supports versatile deployment methods for NIM microservices, granting the ability to utilize custom containers, models, and Helm charts, thus catering to diverse deployment preferences and enhancing user flexibility. This combination of features positions NVIDIA DGX Cloud Serverless Inference as a powerful tool for organizations seeking to optimize their AI inference processes.
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Pricing
Pricing Starts At:
$0
Free Trial:
Yes
Integrations
No Integrations at this time
Company Details
Company:
Zerops
Year Founded:
2024
Headquarters:
Czech Republic
Website:
zerops.io
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Live Rep (24/7)
Online Support
Zerops Features and Options
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