TOP-TIER PERFORMANCE
Industry-leading latency and throughput powered by GPU infrastructure tuned specifically for high-throughput LLM inference workloads.
Production-Ready Speed
99.9% uptime with sub-250ms p90 latencies. Build real-time chat apps with confidence.
Seamless Scaling
No more dropped requests or timeout errors. Our infrastructure handles traffic spikes so you don't have to.
Smart Request Handling
Advanced request queuing, model caching, and dynamic batching keep your app responsive under load.
UNBEATABLE PRICING
Up to 90% cost savings vs other providers. Pay for what you actually use, not what you might use. Ship more features, burn less cash.
True Pay-Per-Token
Pay only for what you use. No idle GPU costs eating into your margins.
Zero to Production
Scale from weekend project to unicorn without changing a line of code. Billions of tokens? No problem.
Speed Without Compromise
Enterprise-grade performance at startup-friendly prices. We optimize so you don't have to.
EASY INTEGRATION
Integrate in minutes with your favorite tools and frameworks
OpenAI-compatible APIs
Drop-in replacement for OpenAI APIs - switch providers with minimal code changes
Framework Integrations
First-class support for LangChain, LlamaIndex and other popular LLM frameworks
Meta Llama 3.1 8B Instruct FP8
Meta Llama 3.1 is a collection of advanced, multilingual large language models designed for dialogues, available in 8B, 70B, and 405B sizes, that outperform many chat models on industry benchmarks and emphasize safe, responsible use in various applications.
Meta Llama 3.2 1B Instruct FP16
Llama 3.2 is a multilingual large language model collection from Meta, fine-tuned for dialogue and summarization tasks in multiple languages, designed for enhanced retrieval and conversational agents.
Meta Llama 3.2 3B Instruct FP16
Llama 3.2 is a multilingual large language model collection optimized for dialogue, retrieval, and summarization tasks with enhanced performance on industry benchmarks, employing supervised fine-tuning and reinforcement learning for safety and human-aligned responses.