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Description
Nextbit Inference provides open-weight AI models accessible via API endpoints that align with the request formats utilized by OpenAI and Anthropic. Developers can browse a catalog of models and seamlessly call them using standard client libraries, all under a token-based pricing structure. The service features options for shared serverless inference as well as dedicated single-tenant endpoints that come with guaranteed capacity. Additionally, Nextbit facilitates model fine-tuning and deployment services for both fine-tuned and customer-supplied models. This platform caters specifically to AI and machine-learning engineers focused on developing applications, agents, and efficient production inference workflows. Clients have the flexibility to select between EU or global endpoints; dedicated deployments can be tailored to meet specific data-location and infrastructure requirements. The API is designed to integrate smoothly into existing development processes, and the serverless inference option enables users to leverage GPU-backed model serving while eliminating the burdens of managing the underlying infrastructure. This comprehensive offering empowers developers to innovate rapidly and effectively in the fast-evolving AI landscape.
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
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Anthropic
Yes
Claude Code
Yes
Cline
Yes
Cursor
Yes
FLUX.1
No
FLUX.2
No
Gemma
No
Jupyter Notebook
No
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Anthropic
No
Claude Code
No
Cline
No
Cursor
No
FLUX.1
Yes
FLUX.2
Yes
Gemma
Yes
Jupyter Notebook
Yes
Pricing Details
$0.075/1M input tokens
Serverless inference is billed per million input and output tokens at model-specific rates; Gemma 3 12B starts at $0.075 per million input tokens and $0.15 per million output tokens. Dedicated Inference uses a fixed monthly fee paid upfront, with 6-, 12-, 18-, or 24-month commitments and capacity-based tiers.
Free Trial
No
Free Version
No
Pricing Details
$100 + compute/month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
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
NEXTBIT 256, S.L.
Founded
2021
Country
Spain
Website
www.nextbit256.com
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
