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Description
The Intel® Tiber™ AI Cloud serves as a robust platform tailored to efficiently scale artificial intelligence workloads through cutting-edge computing capabilities. Featuring specialized AI hardware, including the Intel Gaudi AI Processor and Max Series GPUs, it enhances the processes of model training, inference, and deployment. Aimed at enterprise-level applications, this cloud offering allows developers to create and refine models using well-known libraries such as PyTorch. Additionally, with a variety of deployment choices, secure private cloud options, and dedicated expert assistance, Intel Tiber™ guarantees smooth integration and rapid deployment while boosting model performance significantly. This comprehensive solution is ideal for organizations looking to harness the full potential of AI technologies.
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.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Advantech Intelligent Kitchen Display System
Yes
Amazon Web Services (AWS)
No
Anthropic
No
Arm DDT
Yes
BCM One
Yes
BeyondTrust Cloud Privilege Broker
Yes
Claude Code
No
Cursor
No
Datadog
No
DeepSeek R1
Yes
Integrations
Advantech Intelligent Kitchen Display System
No
Amazon Web Services (AWS)
Yes
Anthropic
Yes
Arm DDT
No
BCM One
No
BeyondTrust Cloud Privilege Broker
No
Claude Code
Yes
Cursor
Yes
Datadog
Yes
DeepSeek R1
No
Pricing Details
Free
Free Trial
No
Free Version
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
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
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Intel
Founded
1968
Country
United States
Website
ai.cloud.intel.com
Vendor Details
Company Name
NEXTBIT 256, S.L.
Founded
2021
Country
Spain
Website
www.nextbit256.com
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
