CoreWeave vs PowerGPU at a glance
CoreWeave
Enterprise AI hyperscaler: Kubernetes-native, 8-GPU HGX nodes, reserved-first
PowerGPU
Fixed prices at market median × 0.70, crypto only, verified datacenters
| CoreWeave | PowerGPU | |
|---|---|---|
| Billing | Hourly | Per second, no minimum, price locked at deploy |
| Payment | Invoicing and contracts; credit approval | Crypto only — USDT (TRC-20/ERC-20), BTC, XMR, LTC, ETH, TRX, SOL |
| Identity | Enterprise onboarding (KYB) | 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 | Spot (roughly −60%) and reservations up to −60% | Interruptible flat −50% (no auction) · reserved −35% (3+ months) |
| Regions | North America and Europe | 32 regions on 5 continents, verified datacenters only |
| Minimums | Whole 8-GPU nodes; most capacity under contract | None — 1× to 8× GPUs at the same per-GPU price |
| Storage | Object/file storage from $0.015 to $0.06/GB/mo | $0.08/GB/month NVMe, volumes survive instances |
| Egress | Free | $0.01/GB in and out, every region |
| Access | Kubernetes (CKS), Slurm, bare-metal nodes | Containers or full KVM VMs, SSH, Jupyter, REST API, CLI, Python SDK |
CoreWeave column: as published on coreweave.com on 2026-09-03. Details change — verify before you decide.
CoreWeave vs PowerGPU prices, GPU by GPU
Public on-demand list prices per GPU-hour on CoreWeave'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 | CoreWeave list | PowerGPU on-demand | PowerGPU interruptible | Difference |
|---|---|---|---|---|
| H100 SXM 8× HGX H100 node $49.24/hr ÷ 8 | $6.16 | $1.587 | $0.793 | −74% on PowerGPU |
| H200 8× HGX H200 node $50.44/hr ÷ 8 | $6.31 | $3.058 | $1.529 | −52% on PowerGPU |
| B200 8× HGX B200 node $68.80/hr ÷ 8 | $8.60 | $4.204 | $2.102 | −51% on PowerGPU |
| A100 SXM4 8× A100 node $21.60/hr ÷ 8 | $2.70 | $0.583 | $0.291 | −78% on PowerGPU |
| L40S 8× node $18.00/hr ÷ 8 | $2.25 | $0.466 | $0.233 | −79% on PowerGPU |
| L40 8× node $10.00/hr ÷ 8 | $1.25 | $0.234 | $0.117 | −81% on PowerGPU |
| RTX PRO 6000 WS RTX PRO 6000 (high memory), 8× node $20.00/hr ÷ 8 | $2.50 | $1.097 | $0.548 | −56% on PowerGPU |
Configurations differ (node sizes, tiers, regions); the note beside each card says which CoreWeave price is quoted. Negative differences mean CoreWeave is cheaper on that card.
When to stay with CoreWeave
- You are reserving thousands of GPUs for years with a Kubernetes-native platform team and enterprise SLAs.
- Your workloads are already CKS/Slurm-on-K8s manifests and you value that control plane.
- You need GB200 NVL72 or B300-class systems at rack scale.
Why teams switch to PowerGPU
- You need one to eight GPUs today, not an 8-node contract: PowerGPU deploys single cards in 30 seconds with no sales call.
- Per-GPU price: the H100 SXM is fixed at market median × 0.70 here versus $6.16/GPU-hour on CoreWeave on-demand nodes.
- Per-second billing, crypto settlement and no procurement process — the sheet is the quote.
- Consumer and workstation cards CoreWeave does not sell (RTX 5090, 4090, RTX 6000 Ada, A6000).
Switching from CoreWeave: what maps to what
| On CoreWeave | On PowerGPU |
|---|---|
| CKS pod / bare-metal node | Instance (container or full VM), 1× to 8× GPUs |
| Slurm on Kubernetes | Clusters with Slurm preinstalled on request |
| Object / file storage | Volumes at $0.08/GB/month |
| Reserved contract | Reserved instances (−35%) and enterprise fleets, quoted from the public sheet |
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 CoreWeave 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 | CoreWeave | PowerGPU |
|---|---|---|
| 1× H100 SXM, 730 hours on-demand | $4,497 | $1,159 |
| 1× H100 SXM, 8 h/day × 20 days | $986 | $254 |
| Same 160 hours, PowerGPU interruptible | — | $127 |
| 500 GB of storage, one month | Object/file storage from $0.015 to $0.06/GB/mo | $40 |
Run your own schedule through the cost calculator — it adds storage and bandwidth and compares against the marketplace median.
CoreWeave alternative: FAQ
Is PowerGPU cheaper than CoreWeave?
On-demand, by a wide margin: CoreWeave prices whole 8× HGX H100 nodes at $49.24/hr ($6.16 per GPU, checked 2026-09-03); PowerGPU fixes the H100 SXM at the public market median × 0.70 per GPU and lets you rent one card. CoreWeave's large reservations can undercut its own on-demand by up to 60%.
Can PowerGPU replace a CoreWeave cluster?
For 16–512 GPU training pods with InfiniBand, yes — quoted per GPU from the public sheet and provisioned in days. For thousand-GPU multi-year deployments, CoreWeave remains the specialist.
Do I need an enterprise contract on PowerGPU?
No. Create an account with an email, top up in crypto and deploy. Enterprise terms (fenced capacity, named support, sub-accounts) exist for larger fleets but are optional.
Try the switch for the price of a coffee
Top up $30 in USDT or Monero, deploy the same image you run on CoreWeave, and benchmark it. No card, no KYC, per-second billing — stop it the minute you are done.
CoreWeave and its logo are trademarks of their owner, used here only to identify the compared service; PowerGPU is not affiliated with CoreWeave. NVIDIA GPU names are trademarks of NVIDIA Corporation.
