Lambda vs AWS EC2
A detailed comparison to help you choose between Lambda and AWS EC2.
Quick Verdict
3.7/5
Lambda
0 reviews
3.9/5
AWS EC2
0 reviews
AWS EC2 is rated higher (3.9 vs 3.7). Lambda is a GPU cloud for training and running AI models, offering on-demand NVIDIA GPU instances and reserved clusters for AI teams and researchers. 124 Availability Zones in 39 geographic regions
Lambda On-demand GPU cloud for ML training and inference |  AWS EC2 The original cloud — 750+ instance types | |
|---|---|---|
| Overview | ||
| Rating | 3.7 (0 reviews) | 3.9 (0 reviews)✓ |
| Pricing model | usage-based | usage-based (per-second On-Demand, Spot, Savings Plans; free tier credits for new accounts) |
| Starting price | From $0.69/mo | From $0.0042/mo✓ |
| Best for | ML researchers and engineering teams optimizing cost per GPU-hour for training, fine-tuning, and batch inference who can tolerate best-effort capacity. | Teams with AWS expertise needing the broadest instance selection, global regions, GPU/bare metal options, and commitment-based discounts for steady production workloads |
| Specifications (entry plan) | ||
| CPU cores | 14 vCPU | — |
| RAM | 46 GB✓ | 0.5 GB |
| Storage | — | — |
| Bandwidth | — | — |
| SLA uptime | — | 99.99% |
| Data-center count | 14 | — |
| €/vCPU/mo | €0.05 | — |
| €/GB RAM/mo | €0.01 | €0.01✓ |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | [US x10 regions, Tokyo, Osaka, India, Germany, Israel] | 39 AWS regions / 124 AZs plus Local Zones and Wavelength |
| Tags | ||
| Tags | hourly billinggpu availableus datacenterapi access | free tierhourly billingipv6ddos protectionbackups includedmanaged optionbare metalgpu availables3 compatibleeu datacenterus datacenterapac datacenterapi accessterraform providerkubernetes support |
| Visit Lambda → | Visit AWS EC2 → | |
Lambda
Pros
- + Published per-minute GPU pricing with no egress fees
- + Preinstalled ML stack (Lambda Stack) on all images
- + Full cloud API for instance automation
- + Free egress keeps large checkpoint downloads cheap
- + Cluster tier scales from 16 to 2,000+ GPUs for distributed training
Cons
- - No published uptime SLA for on-demand instances
- - Popular H100 configurations sell out regularly
- - One European region (Germany); no Latin America or Australia
- - No managed databases, snapshots, or backup products
- - Filesystem billing continues after instance deletion
AWS EC2
Pros
- + Widest hardware catalog in the market — 1,000+ instance types including Arm, bare metal and GPU families
- + Per-second billing with real cost levers: Spot up to 90% off, Savings Plans up to 72% off
- + 99.99% region-level SLA across 124 AZs in 39 regions with explicit service credits
- + Mature ecosystem: AMIs, Marketplace, Terraform, Systems Manager, and deep service integration
Cons
- - Total cost is a system of meters — EBS, snapshots, elastic IPv4, data transfer and add-ons dwarf the instance price
- - Requires real AWS expertise: VPC design, security groups, IAM and patching are all self-managed
- - Single-instance SLA is only 99.5%; the 99.99% commitment requires multi-AZ architecture
- - Data transfer out is expensive enough to shape architecture decisions
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