Run Open Source LLMs on GPU GridProduction Ready API in 10 minutes.Deploy any open-source LLM, choose the GPU that fits your workload, attach storage,and get a secure HTTPS API ready to use from your apps.
Zero DevOps
No Infrastructure painProduction API
Build & Serve in minsTransparent Billing
Zero Hidden CostsTrending Models, In One Click
Without infrastructure worries
Llama-3.1-8B-Instruct
A reliable general-purpose chat model for Q&A, writing, and everyday app assistants.
GPU:
1x L4
VRAM:
24GB
Qwen2.5-7B-Instruct
A small, fast chat model that’s great for typical assistant tasks on modest GPUs.
GPU:
1x L4
VRAM:
24GB
GPT-OSS-20B
An open-weights LLM meant for local/edge-friendly inference and rapid experimentation without huge infrastructure.
GPU:
1x L40S
VRAM:
48GB
DeepSeek-R1-Distill-Qwen-32B
A reasoning-focused LLM best for tough logic, math, and coding-style prompts (distilled for easier serving).
GPU:
1x L40S
VRAM:
48GB
Dev to ProductionSimply in 10 minutes
Select the open-source LLM you want to run
Match hardware to your performance and budget needs
Attach object storage for model assets persistence
Use a production-ready HTTPS API with Auth & Logging
Build your secure APIZero DevOps Pain
No manual GPU server setup
No custom inference API to build
No networking or auth layer to configure
No need to choose between flexibility and speed
Deploy Around the World
25+ data centers
- Deploy closer to your users with globally distributed infrastructure.
- Reduce latency and improve reliability across regions automatically.
- Built for scale, redundancy, and consistent performance everywhere.
200+ GPU servers
- High-performance GPU clusters ready for AI, training, and inference workloads.
- Scale compute instantly without managing complex hardware.
- Optimized for speed, parallel processing, and demanding applications.