About
Andromeda Cluster is a high-performance GPU cloud platform designed specifically for AI startups and research teams. It offers instant access to thousands of NVIDIA H100, H200, and B200 GPUs, making it suitable for a wide range of workloads from rapid experimentation to large-scale model training and production inference. The platform supports flexible orchestration options, including Slurm, Kubernetes (K8s), or direct SSH access to nodes, giving teams the freedom to work with their preferred tooling. There are no minimum duration requirements, allowing users to spin up and tear down resources as needed without long-term commitments. Storage is handled through local NAS solutions such as Weka or Vast, and users can also stream data in with zero ingress or egress fees — removing a common hidden cost associated with cloud GPU providers. Andromeda also includes DevOps expertise as part of its offering, along with 24/7 support and industry-leading SLAs, ensuring that teams can focus on building AI models rather than managing infrastructure. For teams seeking additional options, Andromeda also operates a third-party GPU marketplace at gpulist.ai. The platform is ideal for AI startups, ML engineers, and research teams that need fast, flexible, and cost-effective access to cutting-edge GPU hardware without the overhead of traditional cloud providers.
Key Features
- Instant GPU Access: Spin up thousands of H100, H200, and B200 GPUs immediately with no minimum duration requirements.
- Flexible Orchestration: Supports Slurm, Kubernetes, and direct SSH access, letting teams use their preferred workflow and tooling.
- Zero Ingress/Egress Fees: Store data locally on NAS (Weka or Vast) or stream it in with no data transfer costs, reducing hidden expenses.
- DevOps Expertise Included: Bundled DevOps support and 24/7 assistance with industry-leading SLAs so teams can focus on AI development.
- GPU Marketplace: Access additional third-party GPU options through the companion marketplace at gpulist.ai.
Use Cases
- Training large-scale AI and deep learning models using clusters of H100, H200, or B200 GPUs.
- Running rapid ML experiments without long-term infrastructure commitments or minimum usage fees.
- Deploying AI inference workloads at scale with flexible orchestration via Slurm or Kubernetes.
- Storing and processing large training datasets locally with zero data transfer costs.
- AI startups seeking cost-effective, enterprise-grade GPU infrastructure with built-in DevOps support.
Pros
- No Minimum Commitment: Users can spin up resources for short experiments or long training runs without being locked into minimum durations.
- Cost Transparency: Zero ingress and egress fees eliminate common hidden costs associated with cloud GPU platforms.
- Cutting-Edge Hardware: Access to the latest NVIDIA GPU generations (H100, H200, B200) ensures top performance for modern AI workloads.
- Comprehensive Support: 24/7 support with industry-leading SLAs and included DevOps expertise reduces operational burden on teams.
Cons
- Access by Request: New users must reach out for access, which may slow onboarding compared to fully self-serve platforms.
- Startup-Focused Scope: The platform is tailored for startups and ML teams; very small individual projects may find it over-specified for their needs.
- Pricing Not Publicly Listed: Detailed pricing information is not publicly available on the website, requiring direct contact for quotes.
Frequently Asked Questions
Andromeda provides access to thousands of NVIDIA H100, H200, and B200 GPUs, covering the latest high-performance hardware for AI training and inference.
You can orchestrate workloads using Slurm, Kubernetes (K8s), or by connecting directly via SSH to the nodes, giving you full flexibility over your infrastructure setup.
No. Andromeda charges zero ingress and egress fees. You can store data locally on NAS (Weka or Vast) or stream it in without incurring additional data transfer costs.
No, there is no minimum duration. You can spin up resources for as short or as long as your project requires.
You can request access by reaching out through the Andromeda website. Existing users can log in directly. A third-party GPU marketplace is also available at gpulist.ai.