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Average Ratings 0 Ratings

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features
design
support

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Description

Nebius Token Factory is an advanced AI inference platform that enables the production of both open-source and proprietary AI models without the need for manual infrastructure oversight. It provides enterprise-level inference endpoints that ensure consistent performance, automatic scaling of throughput, and quick response times, even when faced with high request traffic. With a remarkable 99.9% uptime, it accommodates both unlimited and customized traffic patterns according to specific workload requirements, facilitating a seamless shift from testing to worldwide implementation. Supporting a diverse array of open-source models, including Llama, Qwen, DeepSeek, GPT-OSS, Flux, and many more, Nebius Token Factory allows teams to host and refine models via an intuitive API or dashboard interface. Users have the flexibility to upload LoRA adapters or fully fine-tuned versions directly, while still benefiting from the same enterprise-grade performance assurances for their custom models. This level of support ensures that organizations can confidently leverage AI technology to meet their evolving needs.

Description

You can develop on your laptop, then scale the same Python code elastically across hundreds or GPUs on any cloud. Ray converts existing Python concepts into the distributed setting, so any serial application can be easily parallelized with little code changes. With a strong ecosystem distributed libraries, scale compute-heavy machine learning workloads such as model serving, deep learning, and hyperparameter tuning. Scale existing workloads (e.g. Pytorch on Ray is easy to scale by using integrations. Ray Tune and Ray Serve native Ray libraries make it easier to scale the most complex machine learning workloads like hyperparameter tuning, deep learning models training, reinforcement learning, and training deep learning models. In just 10 lines of code, you can get started with distributed hyperparameter tune. Creating distributed apps is hard. Ray is an expert in distributed execution.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon EKS No 
Amazon SageMaker No 
Apache Airflow No 
Dask No 
DeepSeek V3.1 Yes 
DeepSeek-V3 Yes 
FLUX.1 Yes 
Feast No 
Hermes 4 Yes 
JSON Yes 
Kimi K2 Yes 
Llama 3.3 Yes 
NVIDIA Llama Nemotron Yes 
PyTorch No 
QwQ-32B Yes 
Qwen3 Yes 
Snowflake No 
Stable Diffusion XL (SDXL) Yes 
TensorFlow No 
pgvector Yes 

Integrations

Amazon EKS Yes 
Amazon SageMaker Yes 
Apache Airflow Yes 
Dask Yes 
DeepSeek V3.1 No 
DeepSeek-V3 No 
FLUX.1 No 
Feast Yes 
Hermes 4 No 
JSON No 
Kimi K2 No 
Llama 3.3 No 
NVIDIA Llama Nemotron No 
PyTorch Yes 
QwQ-32B No 
Qwen3 No 
Snowflake Yes 
Stable Diffusion XL (SDXL) No 
TensorFlow Yes 
pgvector No 

Pricing Details

$0.02
Free Trial Yes 
Free Version Yes 

Pricing Details

Free
Open source. Consumption-based.
Free Trial Yes 
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 Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Nebius

Founded

2022

Country

Netherlands

Website

nebius.com/services/token-factory/enterprise-grade-inference

Vendor Details

Company Name

Anyscale

Founded

2019

Country

United States

Website

ray.io

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

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 

Alternatives

Alternatives

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