Price floor Every GPU at least 30% below the market median — re-checked against the marketplace weekly.

See the proof

Alternative · prices checked 2026-09-03

Modal alternative: same NVIDIA GPUs, fixed prices 30% under the market

Modal is a serverless platform where Python functions decorated with a GPU spec run in containers that scale from zero to thousands and bill per second — GPU, CPU and memory as separate meters. It is excellent for bursty inference and jobs; it is not a place to keep a machine, SSH in and leave Jupyter running.

4 min read Updated 2026-09-03 PowerGPU prices live from the sheet

Modal alternative — illustration

Modal vs PowerGPU at a glance

Modal

Python-native serverless: functions on GPUs, per-second, scale to zero

PowerGPU

Fixed prices at market median × 0.70, crypto only, verified datacenters

ModalPowerGPU
BillingPer second — GPU + CPU ($0.047/core-hr) + memory ($0.008/GiB-hr) separatelyPer second, no minimum, price locked at deploy
PaymentCardCrypto only — USDT (TRC-20/ERC-20), BTC, XMR, LTC, ETH, TRX, SOL
IdentityCard or GitHub accountEmail + password. No KYC, no card, no stored IP addresses
Free credit$30/month (Starter), $100/month (Team)None — every hour is ≥30% under the market median instead
Cheaper tierNoneInterruptible flat −50% (no auction) · reserved −35% (3+ months)
RegionsUnited States (+ selected)32 regions on 5 continents, verified datacenters only
MinimumsNoneNone — 1× to 8× GPUs at the same per-GPU price
StorageVolumes $0.09/GiB/mo, first 1 TiB free$0.08/GB/month NVMe, volumes survive instances
EgressFree$0.01/GB in and out, every region
AccessPython SDK only (no SSH, no long-lived VMs)Containers or full KVM VMs, SSH, Jupyter, REST API, CLI, Python SDK

Modal column: as published on modal.com on 2026-09-03. Details change — verify before you decide.

Modal vs PowerGPU prices, GPU by GPU

Public on-demand list prices per GPU-hour on Modal'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.

GPUModal listPowerGPU on-demandPowerGPU interruptibleDifference
B200 $0.001736/s $6.25 $4.204 $2.102 −33% on PowerGPU
H200 $0.001261/s $4.54 $3.058 $1.529 −33% on PowerGPU
H100 SXM $0.001097/s $3.95 $1.587 $0.793 −60% on PowerGPU
A100 SXM4 80 GB, $0.000694/s $2.50 $0.583 $0.291 −77% on PowerGPU
L40S $0.000542/s $1.95 $0.466 $0.233 −76% on PowerGPU
A10 $0.000306/s $1.10 $0.168 $0.084 −85% on PowerGPU
L4 $0.000222/s $0.80 $0.225 $0.112 −72% on PowerGPU
Tesla T4 $0.000164/s $0.59 $0.104 $0.052 −82% on PowerGPU

Configurations differ (node sizes, tiers, regions); the note beside each card says which Modal price is quoted. Negative differences mean Modal is cheaper on that card.

When to stay with Modal

  • Your workload is bursty inference written in Python and you want autoscaling without operating anything.
  • The $30/month free credit covers your usage.
  • You never need a shell, a desktop, a VM or a long-running notebook.

Why teams switch to PowerGPU

  • Long-running machines: SSH, Jupyter, full KVM VMs, desktops — Modal has no persistent instances.
  • One price per GPU-hour that includes the CPU and RAM; Modal meters GPU, CPU and memory separately.
  • Fixed rates at market median × 0.70 (Modal H100 $3.95, A100 80 GB $2.50), interruptible −50%, reserved −35%.
  • Crypto settlement with no card or KYC — and a serverless endpoint product when you do want scale-to-zero.

Switching from Modal: what maps to what

On ModalOn PowerGPU
@app.function(gpu="H100")Serverless endpoint (vLLM / ComfyUI / any container) or an instance you keep
Modal VolumeVolume, $0.08/GB/month
Container image definitionAny OCI image or one of 37 templates
Modal CLIpowergpu CLI, REST API, Python SDK
the whole migration, from the shell
pip install powergpu
export POWERGPU_API_KEY=pg_live_…          # console → API keys
powergpu launch --gpu b200 --template pytorch --disk 100 --volume data:/data
# ✓ instance i-52ab77c1 running (24.1s) · $4.204/hr · per second
powergpu stop i-52ab77c1                      # billing ends this second

Data moves the boring way: rsync or rclone from your Modal 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

ScenarioModalPowerGPU
1× B200, 730 hours on-demand$4,563$3,069
1× B200, 8 h/day × 20 days$1,000$673
Same 160 hours, PowerGPU interruptible$336
500 GB of storage, one monthVolumes $0.09/GiB/mo, first 1 TiB free$40

Run your own schedule through the cost calculator — it adds storage and bandwidth and compares against the marketplace median.

Modal alternative: FAQ

Is PowerGPU cheaper than Modal?

Per GPU-hour, yes: Modal bills the H100 at $3.95/hr and the A100 80 GB at $2.50/hr plus CPU and memory meters (checked 2026-09-03); PowerGPU fixes them at the public market median × 0.70, CPU and RAM included. Modal's $30 monthly credit can make tiny workloads free.

Does PowerGPU have scale-to-zero like Modal?

Yes — serverless endpoints with queue-based autoscaling, cached weights and per-second billing on the same fixed prices. The difference is that PowerGPU also offers instances, VMs and SSH when a function is not the right shape.

Can I keep using Python to drive PowerGPU?

Yes: pip install powergpu gives a typed SDK with a context manager that guarantees the meter stops when your block exits.


Try the switch for the price of a coffee

Top up $30 in USDT or Monero, deploy the same image you run on Modal, and benchmark it. No card, no KYC, per-second billing — stop it the minute you are done.

Modal and its logo are trademarks of their owner, used here only to identify the compared service; PowerGPU is not affiliated with Modal. NVIDIA GPU names are trademarks of NVIDIA Corporation.

Deploy your first GPU in under a minute

Top up in crypto, benchmark us against your current provider. Per-second billing, fixed prices ≥ 30% below market — cancel by just stopping the instance.