Hyperbolic vs PowerGPU at a glance
Hyperbolic
GPU marketplace and inference API: weekly-refreshed on-demand rates, reserved and private-cloud tiers
PowerGPU
Fixed prices at market median × 0.70, crypto only, verified datacenters
| Hyperbolic | PowerGPU | |
|---|---|---|
| Billing | Per GPU-hour, rate locked at deploy time, refreshed weekly for new instances | Per second, no minimum, price locked at deploy |
| Payment | Card, wire/ACH upfront, or crypto — USDC, USDT or DAI on Base | Crypto only — USDT (TRC-20/ERC-20), BTC, XMR, LTC, ETH, TRX, SOL |
| Identity | Email sign-up, no forms or sales call for on-demand; KYC policy not published | Email + password. No KYC, no card, no stored IP addresses |
| Free credit | None published | None — every hour is ≥30% under the market median instead |
| Cheaper tier | Prepaid reserved rate, self-serve from 1 week, longer terms via sales | Interruptible flat −50% (no auction) · reserved −35% (3+ months) |
| Regions | Datacenter-partner network, no fixed list; availability shown per configuration in the console | 32 regions on 5 continents, verified datacenters only |
| Minimums | None on-demand; reserved has a 1-week self-serve minimum | None — 1× to 8× GPUs at the same per-GPU price |
| Storage | Not published as a flat per-GB rate | $0.08/GB/month NVMe, volumes survive instances |
| Egress | No egress fees | $0.01/GB in and out, every region |
| Access | SSH, OpenAI-compatible inference API, console, REST API | Containers or full KVM VMs, SSH, Jupyter, REST API, CLI, Python SDK |
Hyperbolic column: as published on hyperbolic.xyz on 2026-09-04. Details change — verify before you decide.
Hyperbolic vs PowerGPU prices, GPU by GPU
Public on-demand list prices per GPU-hour on Hyperbolic's pricing page (2026-09-04) against PowerGPU's fixed rates today — every PowerGPU price is the public marketplace median × 0.70, rounded down, re-checked weekly.
| GPU | Hyperbolic list | PowerGPU on-demand | PowerGPU interruptible | Difference |
|---|---|---|---|---|
| H100 SXM 80 GB, on-demand, weekly-refreshed rate | $3.19 | $1.428 | $0.714 | −55% on PowerGPU |
| H200 141 GB, on-demand, weekly-refreshed rate | $3.99 | $2.791 | $1.395 | −30% on PowerGPU |
| B200 180 GB, on-demand, weekly-refreshed rate | $5.99 | $5.425 | $2.712 | −9% on PowerGPU |
Configurations differ (node sizes, tiers, regions); the note beside each card says which Hyperbolic price is quoted. Negative differences mean Hyperbolic is cheaper on that card.
When to stay with Hyperbolic
- The OpenAI-compatible inference API for open-weight models is your product, not raw GPU rental.
- A week-long prepaid reserved block at a discount off on-demand fits a short, fixed-length job better than a monthly commitment.
- You need private-cloud capacity carved out of a specific datacenter partner.
Why teams switch to PowerGPU
- Price does not move week to week: PowerGPU fixes every card at the public market median × 0.70, instead of a weekly refresh that has gone from $1.50 to $3.19 on the H100 SXM since June 2026.
- No egress fee is matched here, and storage is a flat $0.08/GB/month on top of it, published rather than left off the pricing page.
- A flat −50% interruptible tier and −35% reserved from 3 months, both published, against Hyperbolic's sales-quoted longer reservations.
- Consumer cards (RTX 5090, 4090, 3090) and 32 fixed regions, instead of a datacenter-partner network with no published location list.
Switching from Hyperbolic: what maps to what
| On Hyperbolic | On PowerGPU |
|---|---|
| On-demand cluster | Instance — container in 30 s or full KVM VM |
| Reserved (prepaid, 1 week+) | Reserved instance, −35% from 3 months |
| Private cloud | Dedicated capacity, quoted from the public sheet |
| OpenAI-compatible inference API | Serverless endpoint (vLLM / any container, scale to zero) |
| Hyperbolic console / 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) · $1.428/hr · per second
powergpu stop i-52ab77c1 # billing ends this secondData moves the boring way: rsync or rclone from your Hyperbolic 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 | Hyperbolic | PowerGPU |
|---|---|---|
| 1× H100 SXM, 730 hours on-demand | $2,329 | $1,042 |
| 1× H100 SXM, 8 h/day × 20 days | $510 | $228 |
| Same 160 hours, PowerGPU interruptible | — | $114 |
| 500 GB of storage, one month | Not published as a flat per-GB rate | $40 |
Run your own schedule through the cost calculator — it adds storage and bandwidth and compares against the marketplace median.
Hyperbolic alternative: FAQ
Is PowerGPU cheaper than Hyperbolic?
On the cards Hyperbolic lists, generally yes: its on-demand H100 SXM is $3.19/hr, H200 is $3.99/hr and B200 is $5.99/hr (checked 2026-09-04), all refreshed weekly and only known at deploy time; PowerGPU fixes the same cards at the public market median × 0.70 and does not move the price on an existing instance, or on a new one week to week.
Does PowerGPU accept the same crypto as Hyperbolic?
Hyperbolic takes USDC, USDT or DAI on Base (checked 2026-09-04). PowerGPU is crypto-only and takes more directly — USDT (TRC-20/ERC-20), BTC, XMR, LTC, ETH, TRX and SOL — with no card option and no KYC step.
Can I still get an OpenAI-compatible inference endpoint like Hyperbolic's?
Yes — PowerGPU serverless endpoints run vLLM or any container behind an OpenAI-compatible route, scale to zero, and bill per second at the same fixed rates as an instance.
Try the switch for the price of a coffee
Top up $40 in USDT or Monero, deploy the same image you run on Hyperbolic, and benchmark it. No card, no KYC, per-second billing — stop it the minute you are done.
Hyperbolic and its logo are trademarks of their owner, used here only to identify the compared service; PowerGPU is not affiliated with Hyperbolic. NVIDIA GPU names are trademarks of NVIDIA Corporation.
