GB300 GPU Rental
GB300 GPUs on Lium have a reference price of $8.00 per GPU-hour, built for large-scale AI training, inference, and HPC. Billed per second with no minimum, deployed in seconds from the browser or the CLI.
Price per GPU-hour
$8.00
Reference price, no pod available right now
Available now
0 pods
0 GPUs in total
Reference price
$8.00
Marketplace baseline per GPU-hour
About the GB300
The GB300 is a Blackwell-generation NVIDIA data center GPU, built for large-scale AI training, inference, and HPC. Released in 2025, it carries 288 GB of HBM3e at 8,000 GB/s, which sets how large a model fits on one card and how fast its weights stream. On Lium it is rented from independent providers by the second, with no minimum and no reservation, from the browser or the CLI.
What people run on it
- Training and fine-tuning language models
- High-throughput LLM inference
- Multi-GPU jobs in one node
- HPC and scientific computing
GB300 specifications
| VRAM | 288 GB HBM3e |
|---|---|
| Memory bandwidth | 8,000 GB/s |
| Architecture | Blackwell |
| Released | 2025 |
What runs on one GB300
With 288 GB of memory, one card holds roughly the following open models for inference, counting the weights plus about 20% for activations and cache. Rent several GPUs in one pod to go bigger.
| Precision | Largest model that fits |
|---|---|
| FP16 | 70B parameters |
| 8-bit | 70B parameters |
| 4-bit | 70B parameters |
Running one GB300 around the clock for a month (730 hours) costs about $5,840 at the reference price; you pay only for the seconds a pod runs.
Frequently asked questions
How much does it cost to rent a GB300 on Lium?
No GB300 pod is free at this moment. The marketplace reference price is $8.00 per GPU-hour; the page updates when a provider lists one.
Is there a minimum rental period?
No. Lium bills per second with no minimum and no reservation: start the pod when you need it, delete it when the job is done, and pay for the seconds it ran.
How do I rent a GB300 pod?
Top up a balance by card or crypto, pick a GB300 pod on the marketplace, choose a Docker template, add your SSH key and deploy. From a script, run lium up with the node id after exporting LIUM_API_KEY.
Where do the machines run, and what happens to my data?
Providers run their own hardware in their own facilities, and every pod on the marketplace names its city and country, so you can pick a region before you start. Your data lives on the machine you rented and is released when you delete the pod; attach a volume if you need storage that outlives a single pod.
For AI agents — CLI install, agent skill, headless signup: llms-full.txt