Lambda Labs is a reputable GPU cloud aimed at AI training. Different model from a dedicated RTX 5060 Ti 16GB on our UK dedicated hosting – and the right choice depends entirely on whether your workload is bursty training or steady inference.
Contents
- Business models
- Hourly pricing and monthly equivalents
- Hours/month where dedicated wins
- Multi-day workloads
- When each fits
Business models
- Lambda Labs: per-hour billing on on-demand, reserved 1-3 year contracts at discount, 1-click clusters. US-based. GPU-per-hour mental model.
- GigaGPU dedicated: flat monthly, UK-based, dedicated card, no preemption, root access. Engineer-time amortised mental model.
Hourly pricing and monthly equivalents
| Option | $/hour | $/month 24×7 | $/month 50% util |
|---|---|---|---|
| Lambda on-demand 16GB class | $0.50 – $0.75 | $360 – $540 | $180 – $270 |
| Lambda reserved 1yr 16GB class | $0.35 – $0.55 | $252 – $396 | $126 – $198 |
| Lambda A100 40GB (compare) | $1.29 | $929 | $464 |
| 5060 Ti dedicated GigaGPU | ~$0.53 effective | $380 flat | $380 flat |
Hours/month where self-host wins
Straight math – how many hours of Lambda on-demand equal one month of dedicated 5060 Ti:
| Lambda on-demand rate | Hours/month at parity with £300 dedicated | Hours/day equivalent |
|---|---|---|
| $0.50/hr | 760 (more than one month) | 25+ – dedicated always wins |
| $0.60/hr | 633 | ~21 |
| $0.75/hr | 507 | ~17 |
| $1.00/hr | 380 | ~13 |
For any always-on inference workload, dedicated is cheaper or equal. Only bursty workloads under 12-15 hours/day of compute favour hourly.
Multi-day workloads
Fine-tuning jobs, large-scale RAG index builds and iterative model experiments often run for days. Two patterns to note:
- A 72-hour fine-tuning run on Lambda at $0.60/hr is $43. Cheap, but you left the GPU idle the rest of the month – the hourly model punishes you for experimentation.
- On dedicated, experiment all month: fine-tune, re-tune, serve, benchmark. No marginal cost per run.
When each fits
- Always-on inference: dedicated wins clearly on predictable cost and no preemption.
- Short-duration batch training (a few runs per month): Lambda hourly can be cheaper if you leave the card idle otherwise.
- UK data residency: only dedicated delivers this.
- Multi-GPU training scale-out (8x A100/H100): Lambda offers clustering we do not – we are dedicated-server, not distributed-training.
- Production API serving with SLA: dedicated every time.
For most inference-centric teams, dedicated is both cheaper and simpler. See our 24/7 vs spot analysis and vs RunPod breakdown.
Flat-monthly UK alternative to hourly cloud
No preemption, no data egress fees, Blackwell 16GB. UK dedicated hosting.
Order the RTX 5060 Ti 16GBSee also: vs RunPod, 24/7 vs spot, migrating from cloud, ROI analysis.
