Cerebrium vs CoreWeave: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cerebrium and CoreWeave. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute

Cerebrium

CoreWeave

Provider type

Specialist

Founded

2022

2017

Headquarters

Cape Town, South Africa

Livingston, NJ

Billing model

Per-second usage

On-demand, Spot, Reserved, Capacity plans (1yr/3yr)

Min commitment

None

None (on-demand)

Support tier

Standard

Standard → Enterprise

Regions

2 regions

3 regions

Strengths & Best For

Cerebrium

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.

Strengths

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

Weaknesses

Smaller provider — limited cluster scale
Fewer regions than major cloud providers
Not suitable for multi-node distributed training

Best For

Real-time LLM inference APIsFine-tuned model servingTeams wanting serverless GPU with custom containersBursty inference workloads with zero idle cost

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CoreWeave

CoreWeave is the world's leading AI-native cloud, recognized as a Visionary in the 2026 Gartner® Magic Quadrant™ for Cloud AI Infrastructure and the only AI cloud to earn SemiAnalysis Platinum ClusterMAX™ twice. GB300 NVL72, GB200 NVL72, HGX B300, HGX B200, RTX PRO 6000, GH200, HGX H200, HGX H100, L40S, A100 — also available in Europe. Spot pricing available at 40–60% discount. NVIDIA Vera Rubin NVL72 available. Zero-egress data migration (CoreWeave 0EM). Trusted by OpenAI, Mistral AI, IBM, Jane Street, Aston Martin Aramco F1. Up to 47% TCO savings on 3-year capacity plans.

Strengths

GB300 NVL72 and GB200 NVL72 — latest Vera Rubin and Blackwell hardware
HGX B200 and HGX H200 — latest Blackwell and Hopper nodes
Spot pricing at 40–60% off on-demand across all GPU types
Zero-egress data migration (CoreWeave 0EM)
Gartner Visionary 2026 — only AI cloud with Platinum ClusterMAX™
Trusted by OpenAI, Mistral AI, IBM, Jane Street

Weaknesses

Sales-led process for large clusters — not fully self-serve
Fewer regions than hyperscalers (US and EU only)
Minimum spend requirements for enterprise contracts

Best For

Frontier model training at hyperscaleProduction LLM inference at low latencyAI labs and enterprises needing maximum cluster reliabilityTeams cutting hyperscaler costs — up to 47% TCO savings on 3-year plans

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