
Run BiOS
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Run BiOS
Optimize enterprise AI spending with secure inference. Access advanced models without data logging and save up to 70%.
General Information about Run BiOS
Run BiOS is an advanced AI inference platform designed specifically for the enterprise environment. Its primary function is to allow organizations to run large language models (LLMs) while maintaining total control over spending and ensuring maximum data privacy. This tool positions itself as a robust infrastructure for developers and companies looking to optimize their AI costs without compromising performance or security.
The technology behind Run BiOS is based on a zero-data retention (Zero-log by design) approach. Unlike other providers, requests and responses are processed exclusively in volatile memory and are discarded immediately after the request is completed. This means there is no storage of logs or content files, eliminating any risk of leaks or the unauthorized use of sensitive data for training external models. The system only tracks token usage for service management, never recording the content sent or received from the client’s computer.
One of its most standout capabilities is BiOS Adaptive, an intelligent routing system that directs each request to the most suitable model in terms of quality, speed, and budget. The catalog includes frontier models such as Claude Opus 5, DeepSeek V4 Pro, Kimi K3, GLM, and Qwen, all accessible through an OpenAI-compatible API. This facilitates seamless integration into any existing workflow or application without the need to rewrite complex code.
For more specific needs, the platform offers fine-tuning services and the deployment of custom models on dedicated GPUs. Its advanced technical features include:
- Native support for LoRA and QLoRA adapters that are served automatically with their base model.
- Memory optimization via KV cache compression and bf16 or fp8 precision formats to maximize concurrent requests.
- Serverless inference with context window processing of up to 1M tokens on selected models.
- An architecture built for both text and vision tasks, allowing the use of images as input.
Run BiOS is ideal for companies that need to validate prototypes quickly or for those already operating at scale that need to reduce their monthly computing bill. By allowing full ownership of model weights after fine-tuning, it ensures that corporate knowledge remains within the organization. It is a versatile solution for deploying both open-source and proprietary AI models with minimal latency and efficient resource management.
Features and Use Cases of Run BiOS
How Run BiOS Works
Frequently Asked Questions about Run BiOS
What is Run BiOS and how does it help a company control its AI spending?
Run BiOS is an AI inference platform that can reduce operating costs by up to 70% through an optimized billing system and spend management tools.
How does Run BiOS guarantee the privacy and security of processed data?
The tool features a zero-log design where requests and responses are processed exclusively in volatile memory and are immediately deleted once the request is complete.
Do I need to enter a credit card to try Run BiOS?
No payment method is required to get started, as the platform offers $10 in free credit so users can perform their initial tests.
Which AI models can be run through Run BiOS?
The platform provides access to a comprehensive library that includes leading model families such as Claude, DeepSeek, GLM, Kimi, MiniMax, and Qwen through a single interface.
What is the Run BiOS Adaptive feature?
It is an intelligent system that automatically routes each request to the most suitable model to efficiently balance quality, speed, and the user's budget.
How does the pricing model for model inference work on Run BiOS?
The serverless inference service is billed per million tokens used, distinguishing between input tokens, cached tokens, and output tokens.
Does Run BiOS allow for the fine-tuning of custom models?
Yes, the platform allows you to train custom models with your own weights and deploy them on dedicated endpoints, billing by the second of GPU usage.
Is the Run BiOS API compatible with existing OpenAI integrations?
The tool uses an API that is fully compatible with the OpenAI standard, making migration easy by simply changing the model identifier in the source code.
What happens if my Run BiOS account balance reaches zero?
The system operates on a prepaid wallet model that pauses the service and sends a courtesy notification when the balance is exhausted to prevent users from accruing unexpected charges.
Can I use Run BiOS to process images in addition to text?
Yes, the platform includes models with vision capabilities that accept image inputs alongside standard chat and text completion features.
Run BiOS Pricing
Free Trial: 10 $ in free credits upon sign-up, no credit card required. Test model inference and training with no upfront cost.
Serverless Inference (Pay-as-you-go): Usage-based billing per million tokens processed via an OpenAI-compatible API.
Access to models including Claude (Opus/Sonnet), DeepSeek, GLM, Kimi, MiniMax, and Qwen.
Pricing starts at 0,10 $ per 1M input tokens and 0,25 $ per 1M output tokens (DeepSeek V4 Flash model).
BiOS Adaptive: Intelligent model routing with prices ranging from 0,14 $ - 1,25 $ (input) and 0,28 $ - 3,95 $ (output).
Zero-Log by Design: In-memory processing with no storage or retention of prompt or response data.
Context windows of up to 1M tokens depending on the selected model.
Prompt caching available at reduced rates (starting from 0,01 $ per 1M tokens).
Custom Models and Fine-tuning: GPU-time billing per second for training and deployment on dedicated endpoints.
Rates starting at 0,27 $/hour depending on GPU type (14 variants available).
Full ownership of the weights resulting from training.
Support for LoRA and QLoRA adapters served automatically with the base model.
Adjustable memory configuration (bf16 or fp8) and KV cache compression to optimize concurrency.
Prepaid wallet system: the service pauses if the balance reaches zero to prevent debt.
Run BiOS Screenshots

