--- title: "Paperspace Alternative (2026): GPU Prices vs PowerGPU" description: "Paperspace 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/paperspace 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 # Paperspace alternative: same NVIDIA GPUs, fixed prices 30% under the market Paperspace was acquired by DigitalOcean; its Gradient notebooks and Core machines now sit next to DigitalOcean GPU Droplets (H100, H200, L40S, RTX Ada, AMD MI300X). Billing is per second with a five-minute minimum, payment by card or PayPal, and the GPU line-up is datacenter cards only. 4 min read Updated 2026-09-14 (PowerGPU prices live from the sheet) ## 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](https://powergpu.ai/gpu/h100-sxm) (GPU Droplet, 1× H100) | $4.41 | **$1.428** | $0.714 | −68% on PowerGPU | | [H200](https://powergpu.ai/gpu/h200) (GPU Droplet, 1× H200) | $4.47 | **$2.791** | $1.395 | −38% on PowerGPU | | [RTX 6000Ada](https://powergpu.ai/gpu/rtx-6000ada) (GPU Droplet) | $1.57 | **$0.467** | $0.233 | −70% on PowerGPU | | [L40S](https://powergpu.ai/gpu/l40s) (GPU Droplet) | $1.57 | **$0.514** | $0.257 | −67% on PowerGPU | | [RTX 4000Ada](https://powergpu.ai/gpu/rtx-4000ada) (GPU Droplet) | $0.76 | **$0.128** | $0.064 | −83% 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 | *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 Paperspace 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 | Paperspace | PowerGPU | | --- | --- | --- | | 1× H100 SXM, 730 hours on-demand | $3,219 | **$1,042** | | 1× H100 SXM, 8 h/day × 20 days | $706 | **$228** | | Same 160 hours, PowerGPU interruptible | — | **$114** | | 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](https://powergpu.ai/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 $40 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. --- *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/paperspace · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt