Paperspace vs PowerGPU at a glance
Paperspace
Now part of DigitalOcean: GPU Droplets, Paperspace machines and Gradient notebooks
PowerGPU
Fixed prices at market median × 0.70, crypto only, verified datacenters
| Paperspace | PowerGPU | |
|---|---|---|
| Billing | Per second, 5-minute minimum | Per second, no minimum, price locked at deploy |
| Payment | Card, PayPal, Google Pay, Apple Pay | Crypto only — USDT (TRC-20/ERC-20), BTC, XMR, LTC, ETH, TRX, SOL |
| Identity | Card and account verification | Email + password. No KYC, no card, no stored IP addresses |
| Free credit | Promotional credits for new accounts (varies) | None — every hour is ≥30% under the market median instead |
| Cheaper tier | Reservations via sales; free Gradient notebook tiers | Interruptible flat −50% (no auction) · reserved −35% (3+ months) |
| Regions | Selected DigitalOcean datacenters (US / Canada) | 32 regions on 5 continents, verified datacenters only |
| Minimums | None | None — 1× to 8× GPUs at the same per-GPU price |
| Storage | Boot and scratch NVMe included; volumes ~$0.10/GB/mo | $0.08/GB/month NVMe, volumes survive instances |
| Egress | 10–15 TB included per month, then per GB | $0.01/GB in and out, every region |
| Access | VMs (Droplets), Jupyter notebooks, API, doctl | Containers or full KVM VMs, SSH, Jupyter, REST API, CLI, Python SDK |
Paperspace column: as published on digitalocean.com on 2026-09-03. Details change — verify before you decide.
Paperspace vs PowerGPU prices, GPU by GPU
Public on-demand list prices per GPU-hour on Paperspace'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 | Paperspace list | PowerGPU on-demand | PowerGPU interruptible | Difference |
|---|---|---|---|---|
| H100 SXM GPU Droplet, 1× H100 | $4.41 | $1.587 | $0.793 | −64% on PowerGPU |
| H200 GPU Droplet, 1× H200 | $4.47 | $3.058 | $1.529 | −32% on PowerGPU |
| RTX 6000Ada GPU Droplet | $1.57 | $0.513 | $0.256 | −67% on PowerGPU |
| L40S GPU Droplet | $1.57 | $0.466 | $0.233 | −70% on PowerGPU |
| RTX 4000Ada GPU Droplet | $0.76 | $0.140 | $0.070 | −82% on PowerGPU |
Configurations differ (node sizes, tiers, regions); the note beside each card says which Paperspace price is quoted. Negative differences mean Paperspace is cheaper on that card.
When to stay with Paperspace
- Your stack already lives on DigitalOcean (Droplets, Spaces, Kubernetes) and you want one bill.
- Gradient notebooks with a free tier are exactly the workflow you teach or learn on.
- You need AMD MI300X or MI325X capacity.
Why teams switch to PowerGPU
- Price: the H100 is $4.41/hr on GPU Droplets versus market median × 0.70 fixed here — and the L40S gap is similar.
- Consumer cards for diffusion and quantized LLMs (RTX 5090, 4090, 3090), which DigitalOcean does not offer.
- No five-minute minimum, no card, no KYC: per-second billing settled in crypto.
- 32 regions and interruptible capacity at a flat −50%.
Switching from Paperspace: what maps to what
| On Paperspace | On PowerGPU |
|---|---|
| GPU Droplet | Instance (container in 30 s or full KVM VM) |
| Gradient notebook | PyTorch template with JupyterLab on a mapped port |
| Block storage volume | Volume, $0.08/GB/month |
| doctl / API | powergpu CLI / REST API |
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 Paperspace 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 | Paperspace | PowerGPU |
|---|---|---|
| 1× H100 SXM, 730 hours on-demand | $3,219 | $1,159 |
| 1× H100 SXM, 8 h/day × 20 days | $706 | $254 |
| Same 160 hours, PowerGPU interruptible | — | $127 |
| 500 GB of storage, one month | Boot and scratch NVMe included; volumes ~$0.10/GB/mo | $40 |
Run your own schedule through the cost calculator — it adds storage and bandwidth and compares against the marketplace median.
Paperspace alternative: FAQ
Is PowerGPU cheaper than Paperspace / DigitalOcean GPU Droplets?
Yes: DigitalOcean lists the H100 at $4.41/hr and the L40S at $1.57/hr (checked 2026-09-03); PowerGPU fixes both at the public market median × 0.70, billed per second with no five-minute minimum.
I used Paperspace Gradient notebooks — what is the equivalent?
The PyTorch, TensorFlow or NVIDIA RAPIDS templates start JupyterLab on a TLS-terminated port in about 30 seconds; keep datasets and notebooks on a volume so the GPU instance stays disposable.
Does PowerGPU include bandwidth like DigitalOcean?
Bandwidth is a flat $0.01/GB in and out rather than a bundled allowance — cheaper for most GPU workloads, which move gigabytes, not terabytes.
Try the switch for the price of a coffee
Top up $30 in USDT or Monero, deploy the same image you run on Paperspace, and benchmark it. No card, no KYC, per-second billing — stop it the minute you are done.
Paperspace and its logo are trademarks of their owner, used here only to identify the compared service; PowerGPU is not affiliated with Paperspace. NVIDIA GPU names are trademarks of NVIDIA Corporation.
