GitHub hosts HunyuanVideo, Tencent's open-source framework for large-scale video generation models, enabling AI-driven video creation.
Nebius
$0.01Starting price
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About Nebius
Nebius AI Cloud provides a vertically integrated platform for building and scaling AI workloads from training to inference. It offers custom non-virtualized GPU clusters with InfiniBand networking, enabling high-performance computing with industry-leading reliability metrics. The platform includes built-in MLOps tooling, serverless and managed inference services, and supports elastic scaling from small experiments to global-scale environments. It is designed for AI developers and enterprises requiring specialized infrastructure, with flexible consumption options and commitment discounts. Security and compliance are built-in, and the service includes expert human support and white-glove proof-of-concept assistance. The platform supports a range of NVIDIA GPUs and CPU-only instances, with storage options including shared filesystems, object storage tiers, and block volumes with varying replication levels.
Key features
- Custom GPU clusters with non-virtualized GPUs and InfiniBand
- Built-in MLOps tooling and serverless inference
- Managed Kubernetes and Slurm clusters
- Flexible storage tiers including object and block volumes
- Commitment discounts up to 35% for reserved clusters
- Enterprise-grade compliance and security by design
- Global-scale infrastructure with 24/7 expert support
- Preemptible and on-demand GPU pricing options
Use cases
- Training large-scale AI models with high-performance GPUs
- Deploying managed inference for production AI applications
- Running MLOps pipelines with built-in tooling and repeatability
Pros
- Custom non-virtualized GPU hardware with InfiniBand networking
- Built-in MLOps tooling and managed inference services
- Vertical integration with optimized operational costs
- Expert human support and white-glove PoC assistance
- Flexible pricing with commitment discounts and on-demand options
Cons
- Pricing requires contacting sales for large-scale clusters
- No clear free tier or trial credits mentioned
- Limited pricing transparency for preemptible instances on high-end GPUs
Nebius videos
Frequently asked questions about Nebius
What is Nebius AI Cloud and what does it do?
Nebius AI Cloud is a vertically integrated platform designed for building and scaling AI workloads from training to inference. It provides custom non-virtualized GPU clusters with InfiniBand networking, built-in MLOps tooling, serverless and managed inference services, and elastic scaling capabilities for AI developers and enterprises.
Who is Nebius AI Cloud designed for?
The platform is designed for AI developers and enterprises requiring specialized infrastructure for AI workloads, including those needing high-performance computing, reliable infrastructure, and expert support for training, inference, and production deployment.
What types of hardware does Nebius AI Cloud support?
Nebius supports a range of NVIDIA GPUs and CPU-only instances, with storage options including shared filesystems, object storage tiers, and block volumes with varying replication levels. It also offers custom non-virtualized GPUs and InfiniBand networking for high-performance computing.
Does Nebius AI Cloud offer managed services for inference?
Yes, Nebius provides serverless and managed inference services, allowing users to deploy and scale AI models without managing underlying infrastructure, while ensuring reliability and performance.
How does Nebius AI Cloud handle security and compliance?
Security and compliance are built into the platform by design, with enterprise-grade measures in place. Nebius also offers expert human support and white-glove proof-of-concept assistance to ensure secure and compliant AI deployments.
Can Nebius AI Cloud support global-scale AI workloads?
Yes, Nebius is designed to scale from small experiments to global-scale environments, with flexible consumption options and commitment discounts to accommodate varying workload demands.
Nebius Website Engagement
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