lambda GPU Cloud Provider
Lambda Labs provides high-performance GPU cloud instances for AI and machine learning, catering to researchers and developers with powerful NVIDIA GPUs and straightforward pricing.
Provider Overview
| Name | lambda |
| Total Instances | 7 |
| Minimum Price | $0.50/hr |
| Maximum VRAM | 80 GB |
| Available GPU Models |
Lambda Labs provides high-performance GPU cloud instances for AI and machine learning, catering to researchers and developers with powerful NVIDIA GPUs and straightforward pricing.
Get Started with lambda
Ready to rent GPUs from lambda? Sign up now to explore available instances and start your AI workloads.
Visit Provider Website →About the Provider
Available Instances
| Accelerator | Price/Hour | VRAM | Type | Action |
|---|---|---|---|---|
| H100 SXM | $3.29 | 80 GB | Hopper | View GPU → |
| H100 PCIe | $2.49 | 80 GB | Hopper | View GPU → |
| A100 SXM | $1.29 | 40 GB | Ampere | View GPU → |
| A100 PCIe | $1.29 | 40 GB | Ampere | View GPU → |
| A10 | $0.75 | 24 GB | Ampere | View GPU → |
| A6000 | $0.80 | 48 GB | Ampere | View GPU → |
| Quadro RTX 6000 | $0.50 | 24 GB | Turing | View GPU → |
Available GPUs
Explore GPU specifications and compare pricing for lambda
Compare with Other Providers
Explore alternative GPU cloud providers and compare pricing
Related Resources
Compute Capability
Check CUDA compute capability and AI feature support for different GPUs
View Reference →About lambda GPU Cloud
GPUvec currently tracks 7 lambda instance configurations across 7 GPU models. The lowest observed rate in the dataset is $0.50/hour; the final price can vary by region, GPU count, host configuration, and billing terms.
The recorded catalog includes A10, A100 PCIe, A100 SXM, A6000, H100 PCIe. GPUvec has location data for 1 region: us.
When evaluating lambda, compare memory capacity, accelerator generation, hourly rate, regional availability, billing granularity, storage, and network requirements. Framework support also depends on the selected image and driver stack, so verify CUDA and container versions before migration.
Use GPUvec's provider directory and GPU comparison tool to compare lambda with alternatives on the same accelerator model. A like-for-like comparison avoids misleading conclusions caused by different GPU counts, CPUs, RAM allocations, or commitment terms.
External Resources
Learn more about GPUs from these authoritative sources:
Official CUDA programming guide
NVIDIA GPU Specifications →Official NVIDIA GPU specs
TechPowerUp GPU Database →Comprehensive GPU specifications
CUDA Compute Capability Guide →GPU compute capability reference
Ready to Get Started?
Visit lambda's website to create an account and start using their GPU instances.
Visit lambda →What You Need to Know About lambda
Complete Overview of lambda GPU Cloud Services and Pricing
Get detailed information about lambda's GPU cloud offerings, including available GPU models like RTX 4090, H100, A100, and L40S instances. Compare pricing structures, regional availability, and unique features that distinguish lambda from other providers. Whether you need per-second billing, reserved instances, or spot pricing, understanding each provider's model helps you optimize your GPU spending.
Pricing per Hour for lambda GPU Instances
Review the pricing structure for lambda's GPU instances and compare hourly rates across different GPU models. GPUvec provides transparent pricing data so you can evaluate whether lambda offers competitive rates for your AI training, inference, or rendering workloads compared to alternatives like RunPod, Vast.ai, or Lambda Labs.
How lambda Compares to Other GPU Cloud Providers
See how lambda stacks up against other GPU cloud providers in terms of pricing, GPU availability, geographic coverage, and unique features. Our detailed comparison helps you choose the best provider for your specific needs, whether you prioritize the lowest price per hour for RTX 4090 instances or the most reliable H100 availability for production workloads.