Lambda
Accelerate AI training and inference with scalable GPU compute
Target Audience
- AI Researchers
- ML Engineers
- Enterprise AI Teams
- Deep Learning Startups
Hashtags
Overview
Lambda provides on-demand GPU cloud services and hardware for AI developers. It offers instant access to high-performance NVIDIA GPUs like H100 and H200 through flexible cloud instances or dedicated private clusters. Teams can deploy machine learning infrastructure without long-term contracts, with features like minute-based billing and 1-click multi-node clusters optimized for deep learning workflows.
Key Features
1-Click Clusters
Quick deployment of multi-node GPU clusters with InfiniBand
On-Demand Instances
NVIDIA H100 GPUs from $2.49/hour with minute billing
Private Cloud
Dedicated clusters with thousands of H100/H200/GB200 GPUs
Inference API
Serverless endpoints for LLMs with no rate limits
Lambda Stack
Pre-configured deep learning software stack
Use Cases
Train large language models
Deploy AI inference endpoints
Scale research compute clusters
Compare GPU performance benchmarks
Pros & Cons
Pros
- Immediate access to latest NVIDIA GPUs (H100/H200/B200)
- No long-term contracts or commitments
- Enterprise-grade InfiniBand networking
- Managed deep learning software stack
Cons
- Requires technical ML/DL expertise to use effectively
- No free tier for casual experimentation
- Limited abstraction layer compared to MLaaS platforms
Pricing Plans
Pay-As-You-Go Cloud
hourlyFeatures
- NVIDIA H100 instances
- Minute-based billing
- 1-click clusters
- Spot instances
Reserved Private Cloud
long-termFeatures
- Dedicated H100/H200/GB200 clusters
- Quantum-2 InfiniBand
- SLA guarantees
- Volume discounts
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
What AI frameworks does Lambda support?
Lambda Stack provides one-line installation for PyTorch, TensorFlow, CUDA, and cuDNN with managed updates
Can I get discounted long-term contracts?
Private Cloud options offer reserved capacity with volume discounts for enterprise-scale deployments
How do I start with GPU instances?
Create a cloud account to instantly spin up on-demand instances or contact sales for private clusters
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