Jarvis Labs GPU Pricing
9 GPU instances across 1 regions.9 GPU models available — from $0.44/hr.
Budget-friendly ML platform popular with indie AI developers and students. Jarvis Labs offers A100, A6000, and RTX GPUs with pre-installed ML frameworks and persistent storage.
- Very affordable GPU pricing
- Pre-installed ML frameworks (PyTorch, TensorFlow)
- Persistent storage across sessions
- Pause instance to stop billing
- Smaller provider — limited availability
- Fewer GPU types than larger providers
- No enterprise compliance certifications
Jarvis Labs currently lists 9 GPU instances across 9 GPU models and 1 regions. Pricing starts at $0.44/hr, while the median listing price is $1.49/hr. Compare by model, commitment type, and region before treating the cheapest row as the best choice.
GPU Models at Jarvis Labs
All Jarvis Labs GPU Instances
9 results| GPU Model | Instance | Count | VRAM | Region | Type | Price/hr | $/GPU/hr | |
|---|---|---|---|---|---|---|---|---|
| L4 | L4 | 1× | 24GB | US-East | On-Demand | $0.4400 | — | Rent |
| RTX A6000 | RTX A6000 | 1× | 48GB | US-East | On-Demand | $0.7900 | — | Rent |
| RTX 6000 Ada | RTX 6000 Ada | 1× | 48GB | US-East | On-Demand | $0.9900 | — | Rent |
| A100 40GB | A100 40GB | 1× | 40GB | US-East | On-Demand | $1.2900 | — | Rent |
| A100 80GB | A100 80GB | 1× | 80GB | US-East | On-Demand | $1.4900 | — | Rent |
| H100 SXM | H100 SXM | 1× | 80GB | US-East | On-Demand | $2.6900 | — | Rent |
| H100 | H100 | 1× | 80GB | US-East | On-Demand | $2.6900 | — | Rent |
| H200 SXM | H200 SXM | 1× | 141GB | US-East | On-Demand | $3.8000 | — | Rent |
| H200 | H200 | 1× | 141GB | US-East | On-Demand | $3.8000 | — | Rent |
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Jarvis Labs GPU Cloud — FAQ
Jarvis Labs GPU instances start from $0.44/hr. The average price is $2.00/hr. Prices depend on GPU model, region, and commitment type (on-demand vs spot).
Jarvis Labs offers 9 GPU models: L4, RTX A6000, RTX 6000 Ada, A100 40GB, A100 80GB, H100 SXM, H100, H200 SXM, H200. Browse the full list above to compare prices per model.
GPU Tracker’s pricing comparisons are paired with true cost and risk signals. Read the methodology page for how refresh cadence, cost assumptions, and reliability indicators are defined.