Deploy Phi-4
Text & ChatCatalogue notes · not a new performance benchmark
Phi-4 is Microsoft's 14B parameter model that delivers top reasoning performance for its size class. It outperforms many larger models on math, coding, and reasoning benchmarks while running efficiently on a single L4 GPU.
Review a Phi-4 setup
Specifications
| Model | GPU | VRAM | Configured estimate | Action |
|---|---|---|---|---|
Phi-4 14B 14B | 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
- ✓Cost-efficient reasoning
- ✓Code generation
- ✓Mathematical problem solving
- ✓Edge AI deployments
Related Models
Frequently Asked Questions
How much GPU memory is allocated for Phi-4?
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 Phi-4?
Pricing varies by hardware and storage. Review the current quote and spending controls before starting.
How long does Phi-4 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 Phi-4 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 Phi-4?
Pick a configuration, review its dependencies, licence, current quote and spending controls, then choose whether to start.