--- title: "Lambda Labs Alternative (2026): GPU Prices vs PowerGPU" description: "Lambda vs PowerGPU: H100 SXM price, billing, payment (crypto, no KYC) and what maps to what when you switch. Public list prices checked 2026-09-03." url: https://powergpu.ai/alternatives/lambda last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Alternative · prices checked 2026-09-03 # Lambda Labs alternative: same NVIDIA GPUs, fixed prices 30% under the market Lambda (formerly Lambda Labs) runs its own datacenters and sells on-demand GPU instances, 1-Click Clusters with InfiniBand and large reserved contracts, all with the Lambda Stack ML image preinstalled. Billing is per minute, egress is free, payment is by card, and single-GPU capacity is often limited. 4 min read Updated 2026-09-14 (PowerGPU prices live from the sheet) ## 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](https://powergpu.ai/gpu/h100-sxm) (1×–8× SXM instances, up to $4.29 by config) | $3.99 | **$1.428** | $0.714 | −64% on PowerGPU | | [H100 PCIE](https://powergpu.ai/gpu/h100-pcie) | $3.29 | **$1.867** | $0.933 | −43% on PowerGPU | | [B200](https://powergpu.ai/gpu/b200) (1×; 8× from $6.69) | $6.99 | **$5.425** | $2.712 | −22% on PowerGPU | | [A100 SXM4](https://powergpu.ai/gpu/a100-sxm4) (80 GB; up to $2.79 by config) | $1.99 | **$0.560** | $0.280 | −72% on PowerGPU | | [A10](https://powergpu.ai/gpu/a10) | $1.29 | **$0.168** | $0.084 | −87% on PowerGPU | | [RTX A6000](https://powergpu.ai/gpu/rtx-a6000) | $1.09 | **$0.281** | $0.140 | −74% on PowerGPU | | [Tesla V100](https://powergpu.ai/gpu/tesla-v100) | $0.79 | **$0.130** | $0.065 | −84% 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 | *the whole migration, from the shell* ``` 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) · $1.428/hr · per second powergpu stop i-52ab77c1 # billing ends this second ``` Data moves the boring way: rsync or rclone from your Lambda machine to a PowerGPU [volume](https://powergpu.ai/products/volumes), which then mounts on every future instance in seconds. Templates for [PyTorch](https://powergpu.ai/templates/pytorch), [vLLM](https://powergpu.ai/templates/vllm), [ComfyUI](https://powergpu.ai/templates/comfyui) and [Ollama](https://powergpu.ai/templates/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 | **$1,042** | | 1× H100 SXM, 8 h/day × 20 days | $638 | **$228** | | Same 160 hours, PowerGPU interruptible | — | **$114** | | 500 GB of storage, one month | Persistent filesystems billed per GB/month | $40 | Run your own schedule through the [cost calculator](https://powergpu.ai/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 $40 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. --- *About PowerGPU:* PowerGPU (powergpu.ai) is a cloud GPU rental service offering 80 NVIDIA GPU models — from the RTX A2000 at $0.024/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.428/hr on-demand). Billing is per second with no minimums; payment is crypto only (USDT, BTC, XMR, ETH, SOL, LTC, TRX) with no KYC. Instances run in Tier-III datacenters across 32 regions with a 99.9% uptime SLA and deploy in about 30 seconds from the web console (cloud.powergpu.ai) or the REST API. Source: https://powergpu.ai/alternatives/lambda · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt