Lambda Labs vs Vultr
A detailed comparison to help you choose between Lambda Labs and Vultr.
Quick Verdict
4.0/5
Lambda Labs
158 reviews
4.2/5
Vultr
499 reviews
Vultr is rated higher (4.2 vs 4.0). Lambda Labs provides cloud GPUs (A100, H100, RTX) for machine learning workloads. Pay hourly for compute-intensive training, fine-tuning, and inference without long-term commitments. Vultr is a cloud platform offering VPS, bare metal servers, and Kubernetes hosting across 32 data centers worldwide. Built for developers and businesses needing scalable, reliable compute resources with transparent billing.
Lambda Labs On-demand GPU cloud for ML training and inference | Vultr High-performance cloud infrastructure with global data centers and competitive pricing | |
|---|---|---|
| Overview | ||
| Rating | 4.0 (158 reviews) | 4.2 (499 reviews)✓ |
| Pricing model | usage-based | paid |
| Starting price | Free tier available✓ | From €5/mo |
| Best for | ML researchers and engineers who need affordable, powerful GPU compute for training and experimentation without lock-in to larger cloud platforms. | Developers and DevOps teams building applications requiring low latency across multiple regions or those prioritizing cost-effective, API-first infrastructure management. |
| Specifications (entry plan) | ||
| CPU cores | 0 vCPU | 1 vCPU✓ |
| RAM | 0 GB | 1 GB✓ |
| Storage | 0 GB | 25 GB✓ |
| Bandwidth | 0 TB/mo | 1 TB/mo✓ |
| SLA uptime | 99.9% | 99.99%✓ |
| Data-center count | 3 | 32✓ |
| €/vCPU/mo | — | €5.00 |
| €/GB RAM/mo | — | €5.00 |
| Performance | ||
| CPU score (sysbench) | — | 4,100 |
| Disk read (fio) | — | 1,800 MB/s |
| Disk IOPS (4K random) | — | 38,000 |
| Network out | — | 1 Gbps |
| Latency (TTFB) | — | 24 ms |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ✓ | |
| Automated backups | ✓ | |
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ||
| Data-center locations | ||
| Regions | United States | United StatesUnited KingdomGermanyNetherlandsFranceAustralia+6 |
| Tags | ||
| Tags | hourly billinggpu availableus datacenterapi access | hourly billingnvme storageipv6ddos protectionbackups includedsnapshotsbare metalgpu availables3 compatibleeu datacenterus datacenterapac datacenterterraform providerapi accesswindows available |
| Visit Lambda Labs → | Visit Vultr → | |
Lambda Labs
Pros
- + Access high-end GPUs (A100, H100) at competitive hourly rates
- + Run bare-metal instances with minimal virtualization overhead
- + Get transparent, simple pricing without hidden fees
- + Deploy pre-configured ML environments in minutes
- + Benefit from high-speed GPU interconnects for multi-GPU training
Cons
- - Limited geographic availability compared to major cloud providers
- - Smaller ecosystem and fewer integrated services (databases, storage) than AWS/GCP
- - Less mature support and documentation than established competitors
Vultr
Pros
- + Deploy servers in 32 global locations with minimal latency
- + Access affordable pricing with hourly billing and no setup fees
- + Manage infrastructure via intuitive dashboard or REST API
- + Scale resources on-demand without contract commitments
Cons
- - Smaller ecosystem of pre-built applications compared to AWS or DigitalOcean
- - Support limited to ticketing system; no phone support on lower plans
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