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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Run BiOS offers a serverless and OpenAI-compatible inference solution that allows you to direct the OpenAI SDK towards its endpoint, enabling you to maintain your existing code. It features six model families—Claude, DeepSeek, GLM, Kimi, MiniMax, and Qwen—alongside a bios-adaptive system that optimizes each request for quality, speed, and budget while adhering to a specified price ceiling. Both prompts and responses are temporarily stored in memory and removed once the request is fulfilled, ensuring there are no request logs, content stores, or archives retained. Additionally, fine-tuning and dedicated GPU endpoints can be accessed under the same account if you later decide to obtain ownership of the weights, with billing occurring per second of GPU usage. The pricing structure is based on your consumption from a prepaid balance, calculated per million tokens, and the endpoint will pause instead of accumulating debt if your balance depletes.

Description

Accelerate the building, training, and deployment of models at scale through a fully managed infrastructure that provides essential tools and streamlined workflows. Launch personalized AI and LLMs on any infrastructure in mere seconds, effortlessly scaling inference as required. Tackle your most intensive tasks with batch job scheduling, ensuring you only pay for what you use on a per-second basis. Reduce costs effectively by utilizing GPU resources, spot instances, and a built-in automatic failover mechanism. Simplify complex infrastructure configurations by deploying with just a single command using YAML. Adjust to demand by automatically increasing worker capacity during peak traffic periods and reducing it to zero when not in use. Release advanced models via persistent endpoints within a serverless architecture, maximizing resource efficiency. Keep a close eye on system performance and inference metrics in real-time, tracking aspects like worker numbers, GPU usage, latency, and throughput. Additionally, carry out A/B testing with ease by distributing traffic across various models for thorough evaluation, ensuring your deployments are continually optimized for performance.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
FLUX.1 No 
FLUX.2 No 
Gemma No 
Gemma 2 No 
Google Cloud Platform No 
Jupyter Notebook No 
Kubernetes No 
LangChain No 
Llama 3 No 
Llama 3.1 No 
Llama 3.2 No 
Mixtral 8x22B No 
Mixtral 8x7B No 
MusicGen No 
OpenAI Whisper No 
Pinecone No 
Stable Diffusion No 
Visual Studio Code No 
Vultr No 

Integrations

Amazon Web Services (AWS) Yes 
FLUX.1 Yes 
FLUX.2 Yes 
Gemma Yes 
Gemma 2 Yes 
Google Cloud Platform Yes 
Jupyter Notebook Yes 
Kubernetes Yes 
LangChain Yes 
Llama 3 Yes 
Llama 3.1 Yes 
Llama 3.2 Yes 
Mixtral 8x22B Yes 
Mixtral 8x7B Yes 
MusicGen Yes 
OpenAI Whisper Yes 
Pinecone Yes 
Stable Diffusion Yes 
Visual Studio Code Yes 
Vultr Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$100 + compute/month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

UltraSafe AI Inc.

Founded

2025

Country

United States

Website

runbios.ai

Vendor Details

Company Name

VESSL AI

Founded

2020

Country

United States

Website

vessl.ai/

Product Features

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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