Lambda vs PowerGPU at a glance
Lambda
ML-focused cloud: on-demand instances, 1-Click Clusters, Lambda Stack images
PowerGPU
Fixed prices at market median × 0.70, crypto only, verified datacenters
| Lambda | PowerGPU | |
|---|---|---|
| Billing | Per minute | Per second, no minimum, price locked at deploy |
| Payment | Card | Crypto only — USDT (TRC-20/ERC-20), BTC, XMR, LTC, ETH, TRX, SOL |
| Identity | Account verification; business details for reserved capacity | Email + password. No KYC, no card, no stored IP addresses |
| Free credit | None | None — every hour is ≥30% under the market median instead |
| Cheaper tier | Reserved contracts via sales; no spot tier | Interruptible flat −50% (no auction) · reserved −35% (3+ months) |
| Regions | Primarily United States | 32 regions on 5 continents, verified datacenters only |
| Minimums | None on-demand; 1-Click Clusters start at 16 GPUs | None — 1× to 8× GPUs at the same per-GPU price |
| Storage | Persistent filesystems billed per GB/month | $0.08/GB/month NVMe, volumes survive instances |
| Egress | Free | $0.01/GB in and out, every region |
| Access | VMs with Lambda Stack, SSH, Jupyter, API | Containers or full KVM VMs, SSH, Jupyter, REST API, CLI, Python SDK |
Lambda column: as published on lambda.ai on 2026-09-03. Details change — verify before you decide.
Lambda vs PowerGPU prices, GPU by GPU
Public on-demand list prices per GPU-hour on Lambda's pricing page (2026-09-03) against PowerGPU's fixed rates today — every PowerGPU price is the public marketplace median × 0.70, rounded down, re-checked weekly.
| GPU | Lambda list | PowerGPU on-demand | PowerGPU interruptible | Difference |
|---|---|---|---|---|
| H100 SXM 1×–8× SXM instances, up to $4.29 by config | $3.99 | $1.587 | $0.793 | −60% on PowerGPU |
| H100 PCIE | $3.29 | $2.147 | $1.073 | −35% on PowerGPU |
| B200 1×; 8× from $6.69 | $6.99 | $4.204 | $2.102 | −40% on PowerGPU |
| A100 SXM4 80 GB; up to $2.79 by config | $1.99 | $0.583 | $0.291 | −71% on PowerGPU |
| A10 | $1.29 | $0.168 | $0.084 | −87% on PowerGPU |
| RTX A6000 | $1.09 | $0.281 | $0.140 | −74% on PowerGPU |
| Tesla V100 | $0.79 | $0.089 | $0.044 | −89% on PowerGPU |
Configurations differ (node sizes, tiers, regions); the note beside each card says which Lambda price is quoted. Negative differences mean Lambda is cheaper on that card.
When to stay with Lambda
- You need a 16–512 GPU InfiniBand cluster on a long reservation with hands-on ML support — that is Lambda's core business.
- Your team is standardised on the Lambda Stack image and its exact driver/CUDA combinations.
- You only ever rent datacenter cards and never need a consumer GPU.
Why teams switch to PowerGPU
- Price: the H100 SXM is fixed at market median × 0.70 here versus $3.99/hr at Lambda; the A100 80 GB gap is similar.
- Availability: single GPUs and 2×/4× machines are always in stock across 32 regions — Lambda regularly shows "unavailable" on 1× instances.
- Consumer cards: RTX 5090, 4090 and 3090 for diffusion and quantized LLMs — Lambda sells none.
- Crypto, no KYC, per-second billing and a flat −50% interruptible tier Lambda does not offer.
Switching from Lambda: what maps to what
| On Lambda | On PowerGPU |
|---|---|
| On-demand instance (VM) | Instance — container in 30 s or full KVM VM |
| Lambda Stack | PyTorch / PyTorch NGC / NVIDIA CUDA templates |
| Persistent filesystem | Volume, $0.08/GB/month |
| 1-Click Cluster | Clusters — 16 to 512 GPUs over InfiniBand, quoted from the public sheet |
| Lambda Cloud API | REST API, CLI, Python SDK |
pip install powergpu
export POWERGPU_API_KEY=pg_live_… # console → API keys
powergpu launch --gpu h100-sxm --template pytorch --disk 100 --volume data:/data
# ✓ instance i-52ab77c1 running (24.1s) · $1.587/hr · per second
powergpu stop i-52ab77c1 # billing ends this secondData moves the boring way: rsync or rclone from your Lambda machine to a PowerGPU volume, which then mounts on every future instance in seconds. Templates for PyTorch, vLLM, ComfyUI and Ollama are official images; anything else runs from its OCI reference.
A real month, costed
| Scenario | Lambda | PowerGPU |
|---|---|---|
| 1× H100 SXM, 730 hours on-demand | $2,913 | $1,159 |
| 1× H100 SXM, 8 h/day × 20 days | $638 | $254 |
| Same 160 hours, PowerGPU interruptible | — | $127 |
| 500 GB of storage, one month | Persistent filesystems billed per GB/month | $40 |
Run your own schedule through the cost calculator — it adds storage and bandwidth and compares against the marketplace median.
Lambda Labs alternative: FAQ
Is PowerGPU cheaper than Lambda?
Yes on every overlapping card: Lambda lists the H100 SXM from $3.99/hr and the A100 80 GB from $1.99/hr (checked 2026-09-03); PowerGPU fixes both at the public market median × 0.70, re-checked weekly. Lambda's free egress is matched closely by a flat $0.01/GB here.
Does PowerGPU offer InfiniBand clusters like Lambda's 1-Click Clusters?
Yes — multi-node pods of 8× SXM machines with NVLink in-node and InfiniBand between nodes, from 16 to 512 GPUs, provisioned in 1–3 business days and priced per GPU from the same sheet.
Can I keep using the Lambda Stack environment?
The PyTorch and NVIDIA NGC templates carry the same frameworks, drivers and CUDA versions; or bring your own image if you have pinned a specific stack.
Try the switch for the price of a coffee
Top up $30 in USDT or Monero, deploy the same image you run on Lambda, and benchmark it. No card, no KYC, per-second billing — stop it the minute you are done.
Lambda and its logo are trademarks of their owner, used here only to identify the compared service; PowerGPU is not affiliated with Lambda. NVIDIA GPU names are trademarks of NVIDIA Corporation.
