CoreWeave GPU Cloud Cost vs Traditional Cloud: 2026 Full Breakdown
GPU cloud costs are one of the biggest expenses for AI companies in 2026 — and the pricing differences between providers are substantial. Here is the complete cost breakdown to help you make an informed decision.
About CoreWeave: CoreWeave is a specialised GPU cloud provider and NVIDIA strategic partner, offering H100, A100, and L40S GPU infrastructure purpose-built for AI workloads. Apply for access at coreweave.com.
GPU Hourly Pricing Comparison (2026)
| GPU | CoreWeave | AWS | Google Cloud | Azure |
|---|---|---|---|---|
| H100 SXM 80GB | $2.79/hr | $3.50/hr | $3.67/hr | $3.40/hr |
| H100 NVL | $2.49/hr | N/A | $3.10/hr | $2.90/hr |
| A100 80GB SXM | $2.06/hr | $2.40/hr | $2.75/hr | $2.60/hr |
| A100 40GB | $1.40/hr | $1.80/hr | $2.10/hr | $1.95/hr |
| L40S 48GB | $1.14/hr | N/A | $1.50/hr | $1.40/hr |
Real Training Run Cost Comparison
Let's calculate the cost of a realistic training run: fine-tuning Llama 3.1 70B on 10 billion tokens using 8× H100 SXM GPUs for 72 hours.
| Provider | 8× H100 Rate | 72-Hour Cost | Annual Savings vs AWS |
|---|---|---|---|
| CoreWeave | $22.32/hr | $1,607 | — |
| AWS | $28.00/hr | $2,016 | $7,393 saved |
| Google Cloud | $29.36/hr | $2,114 | $9,175 saved |
| Azure | $27.20/hr | $1,958 | $6,523 saved |
If your team runs this training job weekly, CoreWeave saves approximately $21,000–$26,000 per year versus AWS or GCP on this workload alone.
Inference Serving Cost Comparison
For continuously running inference (serving models to users 24/7), using a single H100 SXM:
| Provider | Monthly Cost (1× H100, 24/7) | Annual Cost |
|---|---|---|
| CoreWeave | $2,009 | $24,113 |
| AWS | $2,520 | $30,240 |
| Google Cloud | $2,642 | $31,709 |
Hidden Costs to Watch
- Egress fees: All providers charge for data egress. CoreWeave charges $0.10/GB, comparable to AWS ($0.09/GB) and GCP ($0.08/GB). For model serving with large outputs, these add up.
- Storage: CoreWeave charges $0.039/GB/month for SSD-backed storage — competitive with AWS EBS ($0.08/GB).
- Committed use discounts: CoreWeave offers significant discounts (20–40%) for 6–12 month commitments. If your GPU usage is predictable, committed pricing dramatically reduces costs.
Cost Optimisation Strategies on CoreWeave
- Scale to zero — CoreWeave charges by the second. Shut down idle inference servers overnight and weekends (save 50-65% on non-production workloads).
- Mix instance types — Use L40S ($1.14/hr) for inference and H100 SXM ($2.79/hr) only for training. Many models serve well on L40S.
- Spot instances — CoreWeave offers spot pricing at 30–60% discount for interruptible training jobs.
- Committed use — Sign a 6-month agreement for your baseline capacity and pay spot/on-demand only for overflow.
Bottom line: CoreWeave saves AI companies 20–35% on GPU costs versus AWS and Google Cloud on equivalent hardware. For startups running $50,000+/month in GPU spend, this represents $10,000–$17,500 in monthly savings — meaningful capital that extends runway significantly.