Deploy Mistral
Text & ChatCatalogue notes · not a new performance benchmark
Mistral AI builds fast, efficient language models. Ministral 8B is their latest small model with excellent multilingual support under Apache 2.0. Mistral Nemo 12B offers 128K context for document processing.
Review a Mistral setup
Available Variants (3)
| Model | GPU | VRAM | Configured estimate | Action |
|---|---|---|---|---|
Ministral 8B 8B (Fast) | L4 | 24 GB | Review current price | Deploy |
Mistral Nemo 12B Nemo (12B) | L4 | 24 GB | Review current price | Deploy |
Mistral 7B 7B (Legacy) | L4 | 24 GB | Review current price | Deploy |
These configured estimates include the service fee and configured disk. Review the current quote before starting. Capacity, startup and output quality are not verified by this table.
Requirements
ModelPilot assigns a 24GB cloud GPU to this deployment. Actual local VRAM requirements vary with model variant, precision, quantization, resolution, and workflow settings.
On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) with a current quote and spending controls shown before you start.
Use Cases
- ✓Fast inference applications
- ✓Multilingual text processing
- ✓Document analysis (128K context)
- ✓Structured output generation
Related Models
Frequently Asked Questions
How much GPU memory is allocated for Mistral?
The listed ModelPilot deployment uses a 24GB cloud GPU. Local memory needs can vary with precision, quantization, and workflow settings.
How much does it cost to run Mistral?
Pricing varies by hardware and storage. Review the current quote and spending controls before starting.
How long does Mistral take to deploy?
Startup depends on capacity, image and model downloads, and runtime readiness. The deployment page reports progress; a catalogue entry does not guarantee a startup time.
Can I run Mistral on my local GPU?
It depends on the selected variant, precision, quantization, and workflow settings. Compare the variants below with your available VRAM; the table shows ModelPilot's cloud GPU allocation, not a universal local minimum.
Ready to deploy Mistral?
Pick a configuration, review its dependencies, licence, current quote and spending controls, then choose whether to start.