Scaleway Alternatives

Scaleway offers a broad range of cloud services for building, training, and deploying AI models.
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Anyscale

If you're looking for another Scaleway alternative, Anyscale is definitely worth a look. Anyscale is a platform for building, deploying and scaling AI applications, with features like workload scheduling, cloud support across multiple clouds and heterogeneous node control for better resource allocation. It supports a broad variety of AI models and offers up to 50% cost savings on spot instances. It also has native integrations with popular IDEs and supports secure and governed enterprise use cases.

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Gcore

Another option is Gcore, a cloud and edge platform for AI training and secure content delivery. It offers high-performance computing resources, security features and a globally distributed network with more than 180 CDN POPs. Gcore offers a range of services, including Edge Cloud, Bare Metal and Edge Security, so it's a good option for AI infrastructure and high-performance networking that needs to be flexible and scalable.

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Salad

If you're on a budget, Salad is worth a look. This cloud-based service is designed to deploy and manage AI/ML production models at scale, with a global edge network and GPU-powered processing. It supports a range of GPU-heavy workloads and is certified for SOC2 security compliance, so it's a good option for large-scale AI workloads. Salad's pricing starts at $0.02/hour, with discounts for large-scale usage.

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dstack

Last, dstack is an open-source engine that automates infrastructure provisioning for AI model development, training and deployment on a range of cloud providers. It supports a range of cloud providers and on-prem servers, so it's good for managing AI workloads while keeping costs down. dstack offers a range of deployment options and a community-driven support system, so it's a good option for AI workload management.

More Alternatives to Scaleway

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Oracle Cloud Infrastructure

Run any application faster, more securely, and for less with Oracle Cloud Infrastructure.

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IBM Cloud

Supports high-performance AI workloads with a secure, resilient, and scalable foundation, enabling responsible AI workflows and integration of all data sources.

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RunPod

Spin up GPU pods in seconds, autoscale with serverless ML inference, and test/deploy seamlessly with instant hot-reloading, all in a scalable cloud environment.

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Aiven

Unify data infrastructure management across multiple clouds, streamlining app development, security, and compliance, while optimizing cloud costs.

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Together

Accelerate AI model development with optimized training and inference, scalable infrastructure, and collaboration tools for enterprise customers.

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Cerebrium

Scalable serverless GPU infrastructure for building and deploying machine learning models, with high performance, cost-effectiveness, and ease of use.

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Mystic

Deploy and scale Machine Learning models with serverless GPU inference, automating scaling and cost optimization across cloud providers.

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Oracle Health

Oracle's integrated cloud stack delivers consistent processes and data across the enterprise efficiently.

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AIxBlock

Decentralized supercomputer platform cuts AI development costs by up to 90% through peer-to-peer compute marketplace and blockchain technology.

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Anaconda

Accelerate AI development with industry-specific solutions, one-click deployment, and AI-assisted coding, plus access to open-source libraries and GPU-enabled workflows.

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Microsoft Cloud

Empowers organizations with comprehensive, industry-specific cloud solutions, integrating security, infrastructure, data, AI, and business applications for accelerated innovation.

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Scale

Provides high-quality, cost-effective training data for AI models, improving performance and reliability across various industries and applications.

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Aible

Deploys custom generative AI applications in minutes, providing fast time-to-delivery and secure access to structured and unstructured data in customers' private clouds.

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Replicate

Run open-source machine learning models with one-line deployment, fine-tuning, and custom model support, scaling automatically to meet traffic demands.

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Vercel

Deploy AI apps in seconds with pre-built templates and zero-config infrastructure, scaling globally with automatic traffic routing and elastic security.

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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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Pulumi

Generate infrastructure code with AI-powered natural language prompts, streamlining development and deployment across multiple cloud providers.

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Clarifai

Rapidly develop, deploy, and operate AI projects at scale with automated workflows, standardized development, and built-in security and access controls.

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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.

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Teradata

Unifies and harmonizes all data across an organization, providing transparency and speed, and enabling faster innovation and collaboration.