Buy credits once.
Spend them by the second.
No spot market, no tiers, no subscription. Every GPU has a fixed credit rate per second, and you spend credits only while an instance is actually running.
600 credits
Basic pack
$0.0167 per credit
- ≈13 hours on an RTX A4000, ≈5.7 on a 4090
- Any GPU model, at its own credit rate
- Root on the real GPU over Direct SSH
- CUDA and cuDNN, pre-installed
- 80 GB disk and unmetered traffic
- Metered by the second, no minimum
- Credits never expire
3,600 credits
Pro pack
$0.0083 per credit
- ≈78 hours on an RTX A4000, ≈34 on a 4090
- Any GPU model, at its own credit rate
- Root on the real GPU over Direct SSH
- CUDA and cuDNN, pre-installed
- 80 GB disk and unmetered traffic
- Metered by the second, no minimum
- Credits never expire
9,000 credits
Max pack
$0.0067 per credit
- ≈196 hours on an RTX A4000, ≈85 on a 4090
- Any GPU model, at its own credit rate
- Root on the real GPU over Direct SSH
- CUDA and cuDNN, pre-installed
- 80 GB disk and unmetered traffic
- Metered by the second, no minimum
- Credits never expire
Credits never expire. Purchases are non-refundable.
RTX A4000
16 GB · 448 GB/s · 19.2 TFLOPS FP16
The efficient workhorse. Ideal for SD 1.5 and SDXL at moderate batch sizes, LoRA training and always-on inference where cost per hour matters more than raw speed.
- ›SD 1.5 / SDXL
- ›LoRA training
- ›Long-running inference
RTX 3090
24 GB · 936 GB/s · 35.6 TFLOPS FP16
24 GB of VRAM at the lowest price on the platform. A dependable choice for SDXL, Flux at reduced precision, and 13B-class model inference.
- ›SDXL at scale
- ›Flux (quantised)
- ›13B inference
RTX 4090
24 GB · 1.01 TB/s · 82.6 TFLOPS FP16
The default pick. Ada-generation throughput makes Flux, SDXL and video pipelines roughly twice as fast as a 3090 for well under twice the price.
- ›Flux at full precision
- ›Video pipelines
- ›Fast iteration
RTX 5090
32 GB · 1.79 TB/s · 104.8 TFLOPS FP16
Blackwell, 32 GB, and the fastest memory bandwidth we rent. For long video generation, high-resolution batches and workflows that will not fit in 24 GB.
- ›Long video generation
- ›High-res batches
- ›30B+ inference
Multi-GPU instances spend linearly — a 4× RTX 4090 instance is four times the single-card rate.
Included in every instance
The credit rate is the whole bill. There is no second line.
- 80 GB of disk on every instance
- Root access over Direct SSH
- CUDA and cuDNN pre-installed, matched to the node's driver
- Unmetered inbound and outbound traffic
- Per-second metering with no minimum
- Automatic termination at zero balance
Buy a credit pack, and instances draw it down as they run. Credits never expire, and there is no monthly fee whether you run one instance or twenty.
Pricing questions
What is a credit?
Is the rate really fixed?
How is a multi-GPU instance billed?
Do credits expire?
Do I pay for storage or bandwidth?
Am I charged while an instance is starting?
What if I forget to terminate something?
What is the refund policy?
Start with the Basic pack
600 credits is about thirteen hours on an A4000. Spend them whenever you like.
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