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

See the proof

Template · Specialised

Run Hashcat on a cloud GPU, in 30 seconds

GPU password recovery for authorised security testing — CUDA-accelerated Hashcat. CUDA-accelerated Hashcat for authorised password audits and recovery of your own credentials. Rent a fast consumer card for an afternoon instead of building a cracking rig — subject to the acceptable use policy, which permits security testing only on systems you own or are contracted to test. From $0.052/hr on an interruptible RTX 3090.

Running in ~30 s

Pre-cached image, ports mapped, TLS terminated — the stack is working before you finish reading this.

Template is free

You pay the GPU price only: Hashcat CUDA on a RTX 3090 is $0.104/hr on-demand, $0.052/hr interruptible, billed per second.

Volumes for state

Models, datasets and outputs live on a $0.08/GB/mo volume; the instance stays disposable.

Private by default

Dedicated GPU, encrypted disk, crypto payments, no KYC, no stored IPs — SSH behind your own credentials.

Best GPUs for Hashcat CUDA

Three price points that run this template well — Good, Better, Best. Every model in the catalogue works; these are the value picks.

TierGPUVRAMOn-demandInterruptibleWhy this cardAction
GoodRTX 309024 GB$0.104$0.052High hash rates per dollar for classic algorithms.Deploy
BetterRTX 409024 GB$0.262$0.131The fastest single-card hash rates in the consumer line.Deploy
BestRTX 509032 GB$0.318$0.159Blackwell throughput for the largest audits.Deploy

Need more VRAM? The full catalogue lists all 76 models with live availability; the VRAM guide sizes models to cards.

Deploy Hashcat CUDA from the console, CLI or API

Pick the template in the console deploy bar, or script it:

  • Console — filter by GPU, choose Hashcat CUDA in the template picker, set disk and env, deploy.
  • CLIpip install powergpu, then the command on the right. CLI reference.
  • APIPOST /v1/instances with "template": "hashcat-cuda". REST reference.
  • Own image — any OCI reference works too; we inject the NVIDIA runtime. Template docs.
deploy — hashcat-cuda
$ powergpu launch --gpu rtx-3090 --template hashcat-cuda \
    --disk 100 --volume models:/workspace/models
 instance i-7a41c0e2 running (27.9s)
# Hashcat CUDA · RTX 3090 · $0.104/hr · per second
# https://i-7a41c0e2.powergpu.io:8000 (TLS)
$ powergpu stop i-7a41c0e2   # billing ends this second

What is inside the Hashcat CUDA template

Imagedizcza/docker-hashcat
CUDAinherits host driver (any 12.x / 13.x)
AccessSSH shell
CategorySpecialised
StorageInstance NVMe disk (sized at deploy) + optional network volumes
BillingGPU price only, per second — no template fee, no setup fee

Other specialised templates

Hashcat CUDA on a cloud GPU: FAQ

Environment variables, ports and custom images are covered in the template docs.

How much does it cost to run Hashcat CUDA on a cloud GPU?

Only the GPU price — the template is free. From $0.052/hr on an interruptible RTX 3090, $0.104/hr on-demand on a RTX 3090. Billing is per second, so an hour of tinkering costs an hour, not a day. Storage is $0.08/GB/month.

How long does Hashcat CUDA take to start?

About 30 seconds from the deploy click: the image is pre-cached on hosts, ports are mapped and TLS is terminated for you. Restarting a stopped instance is faster, and your disk is exactly as you left it.

Can I keep my models and outputs between sessions?

Yes — attach a volume at deploy. Everything on the volume survives instance destruction and mounts on the next instance in the region in seconds, at $0.08/GB/month. The instance disk itself survives stop/start but not destroy.

Is this allowed under the acceptable use policy?

Yes for audits of systems you own or hold written authorisation to test, and for recovering your own passwords. Attacks on third parties are prohibited and lead to immediate suspension.

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.