Lambda Labs
Cloud GPUs purpose-built for deep learning
Last reviewed Mar 14, 2026
Lambda is an AI compute platform offering on‑demand NVIDIA GPUs, including H100 and Blackwell B200, plus private clusters with Quantum‑2 InfiniBand.
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: October 3, 2026
| A10 | $1.29/hr 1× | 1× | |||||
| A100 PCIE | $1.99/hrout of stock 1×2×4× | 1×2×4× | |||||
| A100 SXM | $2.79/hrout of stock 8× | 8× | |||||
| A100 SXM 40GB | $1.99/hr 1× | 1× | |||||
| A100 SXM 40GB | $1.99/hrout of stock 8× | 8× | |||||
| B200 | $6.99/hrout of stock 1× | 1× | |||||
| B200 | $6.89/hrout of stock 2× | 2× | |||||
| B200 | $6.69/hrout of stock 8× | 8× | |||||
| GH200 | $2.29/hrout of stock 1× | 1× | |||||
| H100 PCIe | $3.29/hrout of stock 1× | 1× | |||||
Lambda Labs pricing by GPU
Configurations, price rank, and alternatives for one GPU at a time.
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.
Frequently Asked Questions
What GPU types does Lambda Labs offer?
Lambda Labs offers various GPU types including A100 PCIE, A100 PCIE, A100 PCIE, RTX A6000, RTX A6000, RTX A6000, A100 SXM, H100 SXM, H100 SXM, H100 SXM, H100 SXM, GH200, A100 SXM 40GB, A100 SXM 40GB, A10, H100 PCIe, B200, B200, B200, Tesla V100. Check the pricing table above for current availability and pricing.
How do I get started with Lambda Labs?
Visit Lambda Labs's website to create an account and start using their GPU services.
What are Lambda Labs's main advantages?
Lambda Labs's main advantages include: 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.
What are Lambda Labs's limitations?
Lambda Labs's main limitations include: 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.
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