Lambda Labs
Cloud GPUs purpose-built for deep learning
Massive neocloud🇺🇸 USenterprise
Lambda is an AI compute platform offering on‑demand NVIDIA GPUs, including H100 and Blackwell B200, plus private clusters with Quantum‑2 InfiniBand.
8
GPU Models
$0.50
From / hour
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: April 6, 2026
GPU Model↑ | Memory↑ | GPUs↑ | vCPUs↑ | RAM↑ | Price / hr↑ | Updated↑ | Source |
|---|---|---|---|---|---|---|---|
| A10 | 24GB | 1x | 30 | 200 GB | $0.75/hr | 4/6/2026 | |
| A100 SXM | 80GB | 1x | 30 | 200 GB | $1.29/hr | 4/6/2026 | |
| A100 SXM | 80GB | 2x | 60 | 400 GB | $1.29/hr | 4/6/2026 | |
| A100 SXM | 80GB | 4x | 120 | 800 GB | $1.29/hr | 4/6/2026 | |
| A100 SXM | 80GB | 8x | 124 | 1800 GB | $1.29/hr | 4/6/2026 | |
| B200 | 192GB | 1x | 26 | 360 GB | $5.29/hr | 4/6/2026 | |
| B200 | 192GB | 2x | 52 | 720 GB | $5.19/hr | 4/6/2026 | |
| B200 | 192GB | 4x | 104 | 1440 GB | $5.09/hr | 4/6/2026 | |
| B200 | 192GB | 8x | 208 | 2900 GB | $4.99/hr | 4/6/2026 | |
| GH200 | 96GB | 1x | 64 | 432 GB | $1.49/hr | 4/6/2026 | |
| H100 SXM | 80GB | 1x | 26 | 200 GB | $2.49/hr | 4/6/2026 | |
| H100 SXM | 80GB | 2x | 52 | 450 GB | $1.60/hr | 4/6/2026 | |
| H100 SXM | 80GB | 4x | 104 | 900 GB | $3.09/hr | 3/31/2026 | |
| H100 SXM | 80GB | 8x | 208 | 1800 GB | $2.99/hr | 3/31/2026 | |
| RTX 6000 Pro | 96GB | 1x | 14 | 46 GB | $0.50/hr | 4/4/2026 | |
| RTX A6000 | 48GB | 1x | 14 | 100 GB | $0.80/hr | 4/6/2026 | |
| RTX A6000 | 48GB | 2x | 28 | 200 GB | $0.80/hr | 4/6/2026 | |
| RTX A6000 | 48GB | 4x | 56 | 400 GB | $0.80/hr | 3/31/2026 | |
| Tesla V100 | 32GB | 8x | 92 | 448 GB | $0.55/hr | 3/31/2026 |
Pros & Cons
Advantages
- Early access to latest NVIDIA GPUs (H100, H200, Blackwell)
- Specialized for AI workloads
- One-click Jupyter access
- Pre-installed popular ML frameworks
- Multi-GPU instances available (up to 8x GPUs)
- Developer-friendly API
- Offers both on-demand and reserved GPU clusters
- High-speed NVIDIA Quantum-2 InfiniBand networking
Limitations
- Primarily focused on AI and ML workloads
- Limited global data center presence compared to major cloud providers
- Newer player in the cloud GPU market
- May have higher costs for non-AI workloads
Getting Started
Getting started guide coming soon.
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