Serverless LLM APIs
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High-Speed, Serverless LLM Inference APIs
Access enterprise-grade open-source and proprietary Large Language Models through unified, OpenAI-compatible API endpoints with pay-per-token pricing and zero cold starts.
Deploy and Integrate LLMs Without Infrastructure Friction
Gigantic Nano provides instant access to state-of-the-art AI models including Llama 3, Mistral, and custom fine-tuned weights. Scale seamlessly from prototype to millions of daily API requests with sub-second time-to-first-token (TTFT), automatic dynamic batching, and guaranteed enterprise data privacy.
Reliably Scale as Your API Request Volume Shifts
Handle unpredictable traffic bursts and concurrent chat sessions effortlessly. Our serverless LLM infrastructure scales instance capacity instantly in the background, keeping time-to-first-token (TTFT) ultra-fast without requiring manual server provisioning or overpaying for idle GPU hardware.
Build, monitor, and secure your apps for less
Deploy state-of-the-art text generation, summarization, and RAG pipelines at a fraction of the cost. Enjoy zero-data-retention (ZDR) guarantees, real-time usage monitoring, and fine-grained API key permissions to keep your enterprise data completely private.
Pay-Per-Token Serverless Compute
Eliminate the high cost of idle GPU servers by paying strictly for the input and output tokens generated by your applications.
Diverse Open-Source Model Hub
Access top-tier open-source LLMs through a single unified API endpoint without hosting or managing weight checkpoints.
Drop-In OpenAI SDK Integration
Seamlessly transition existing codebase pipelines by changing just a single base URL in your current OpenAI SDK setup.
Enterprise Security & Data Isolation
Guarantee strict data privacy with isolated API execution layers and strict no-log policies on customer inputs.
Integrate Serverless LLMs into Any Application Stack
Connect to high-performance open-source LLMs instantly using your preferred AI orchestration framework or language SDK. Enjoy drop-in OpenAI compatibility to deploy chat, rag, and agentic workflows without writing custom backend infrastructure code.
Pre-built ecosystem support for rapid RAG pipeline construction and autonomous agent orchestration.
Lightweight, zero-dependency async client libraries optimized for low-latency web backends.
Native Python SDK supporting streaming responses, structured JSON outputs, and async batching.
Swap base API endpoints in existing OpenAI applications without refactoring core codebases.
Quick Questions
Find answers to common questions about our serverless LLM endpoints, pay-per-token billing, sub-second TTFT latency, and OpenAI compatibility.
Serverless LLM APIs allow developers to query state-of-the-art Large Language Models via unified REST endpoints without renting or managing dedicated GPU hardware. You pay strictly for the input (prompt) and output (completion) tokens processed by your requests, with zero base platform fees or idle compute costs.
Yes! Our endpoints are 100% OpenAI-compatible. You can switch existing applications over to Gigantic Nano by changing your SDK base_url and API key without modifying your core prompt pipelines, JSON modes, or function calling logic.
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Our serverless inference engine leverages high-throughput tensor acceleration (vLLM and TensorRT-LLM) paired with continuous dynamic batching. This eliminates cold starts and delivers sub-second TTFT even under heavy concurrent traffic spikes.
Absolutely not. We maintain a strict Zero Data Retention (ZDR) policy for all API requests. Your input prompts and generated responses are processed in memory and immediately discarded—never logged, stored, or utilized for model training.
You get instant access to top-tier open-weights model families including Llama 3, Mistral, Mixtral, and Qwen. Additionally, enterprise customers can host custom fine-tuned model weights on private serverless endpoints.