Cerebrium vs Voltage Park: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cerebrium and Voltage Park. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Cerebrium is a serverless ML infrastructure platform that deploys H100, A100, and T4 GPU workloads in seconds using custom containers, enabling real-time LLM inference and fine-tuned model serving without managing any infrastructure. Per-second billing and fast cold starts (typically under 5 seconds) make it highly cost-efficient for bursty AI inference APIs and model deployment pipelines. Supports any Python framework — PyTorch, TensorFlow, JAX, vLLM, TGI. Free tier available. A top choice for ML teams that want to ship production inference endpoints quickly with minimal DevOps overhead.
- Cold starts under 5 seconds — fast serverless GPU spin-up
- Custom containers — any Python framework supported
- Per-second billing with free tier
- H100 and A100 availability
- Supports vLLM, TGI, and custom inference servers
- Smaller provider — limited cluster scale
- Fewer regions than major cloud providers
- Not suitable for multi-node distributed training
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Voltage Park has merged with Lightning AI to create one place to build and ship AI. The combined platform offers 36,000 NVIDIA Hopper, Blackwell, and Grace Blackwell GPUs across 8,176-GPU InfiniBand clusters with 3,200 Gbps aggregate bandwidth (NVIDIA Quantum-2 InfiniBand). On-demand H100 available with no long-term contracts; reserved/long-term pricing available. Dell PowerEdge XE9680 servers with NVIDIA HGX H100s, 1TB RAM SXM, 52 vCPUs. Tier 3+ data centers. AI Factory products include GraphN, image/video/podcast generators, and model playground. Customers include Cursor, Caltech, Phind, Dream3D, Prime Intellect.
- On-demand H100 with no long-term contracts
- 36,000 Hopper/Blackwell/Grace Blackwell GPUs
- 8,176-GPU InfiniBand clusters, 3,200 Gbps bandwidth
- Merged with Lightning AI — AI Factory + GPU Cloud combined
- Tier 3+ data centers
- Trusted by Cursor, Caltech, Phind, Prime Intellect
- Merger with Lightning AI creates product transition period
- Primarily H100 Hopper — Blackwell availability limited
- Fewer self-service features vs RunPod or Vast.ai
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Key differences
Cerebrium
Serverless ML deployment — H100, A100, T4 in seconds via custom containers
Voltage Park
Merged with Lightning AI — H100 on-demand, 36,000 Hopper/Blackwell/Grace Blackwell GPUs