Nebius AI Cloud vs Activepieces
Detailed side-by-side comparison to help you choose the right tool
Nebius AI Cloud
Automation & Workflows
Cloud infrastructure platform designed for AI workloads, offering scalable GPU clusters with NVIDIA hardware and optimized orchestration for training and inference.
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Starting Price
On-demand from ~$2.50/GPU/hrActivepieces
Automation & Workflows
Activepieces review: open-source visual workflows, AI agents, tables, chat, MCP connections, TypeScript steps, and 760+ app integrations.
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Starting Price
$0Feature Comparison
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Nebius AI Cloud - Pros & Cons
Pros
- ✓Reference Platform NVIDIA Cloud Partner status — a tier reserved for select partners operating large clusters built in coordination with NVIDIA's tested reference architecture
- ✓Access to cutting-edge NVIDIA GPUs including GB300 NVL72 and GB200 NVL72 in addition to H100 and H200
- ✓Verified customer cost savings — CentML reported 5x lower inference costs compared to other major providers
- ✓EU-based compute capacity (data center outside Helsinki) supports data-residency and regulatory compliance requirements
- ✓24/7 solution architect assistance for multi-node cases is included at no additional charge
- ✓Operates ISEG, the #19 most powerful supercomputer in the world, giving credible evidence of large-cluster capability
Cons
- ✗Pricing is not fully transparent on the homepage — custom quotes require contacting sales for enterprise configurations
- ✗Smaller global footprint than AWS, GCP, or Azure — limited regional options outside Europe may affect latency-sensitive workloads
- ✗Focused specifically on AI/ML compute rather than being a general-purpose cloud (no broad PaaS, serverless, or consumer-web services)
- ✗Advanced features like InfiniBand clusters and managed Slurm target experienced ML engineers rather than beginners
- ✗Smaller third-party ecosystem and marketplace compared to hyperscaler competitors
Activepieces - Pros & Cons
Pros
- ✓One ordinary flow run costs one credit regardless of step count
- ✓Free tier and transparent annual pricing
- ✓Open-source integrations and self-hosting reduce lock-in
- ✓Visual builder retains a TypeScript escape hatch
- ✓Native MCP direction fits agent workflows
Cons
- ✗AI model steps and agent actions consume extra credits
- ✗Self-hosting shifts upgrades, security, and reliability to the operator
- ✗Connector breadth is smaller than Zapier's ecosystem
- ✗Community pieces require code and permission review
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