Models on Hyperbolic AI Inference
4 models available · Hyperbolic
| Model | Input (per 1M) | Output (per 1M) | Context | |
|---|---|---|---|---|
| Llama 3.1 8B Instruct | $0.10 | $0.10 | 128K | |
| Llama 3 70B Instruct | $0.40 | $0.40 | 8K | |
| Llama 3.1 70B Instruct | $0.40 | $0.40 | 128K | |
| Llama 3.1 405B Instruct | $4.00 | $4.00 | 128K |
Pricing Overview
About Hyperbolic AI Inference
Hyperbolic's AI platform offers an open-access cloud service that democratizes advanced AI computing resources. At its core is Hyper-dOS, a decentralized orchestration layer that efficiently manages global GPU infrastructure with auto-scaling and self-healing capabilities. The platform supports a wide range of AI functionalities, including real-time inference services, model training and fine-tuning, and performance evaluation. Users can access various AI models, such as large language models for text generation and image generation models like Stable Diffusion. The platform also incorporates a vector database for managing high-dimensional data and utilizes retrieval-augmented generation (RAG) techniques, enhancing the overall performance and flexibility of AI applications. The platform provides cost-effective access to high-performance GPUs, potentially reducing operational expenses by up to 80% compared to traditional cloud providers. It allows users to monetize idle GPU resources, fostering a collaborative ecosystem where contributions are rewarded. The platform ensures data privacy and integrity through advanced cryptographic techniques and a verification layer developed in collaboration with academic institutions. This combination of features enhances the scalability and reliability of AI applications, empowering users to innovate and develop AI solutions without the constraints of high costs or limited access to computing power.
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