GPU Cloud for Open Source LLMs
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Trending Models, in One-Click
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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
GLOBAL ACCESS
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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.
100+ 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.