Nextbit InferenceNEXTBIT 256, S.L.
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Related Products
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About
Fireworks partners with the world's leading generative AI researchers to serve the best models, at the fastest speeds. Independently benchmarked to have the top speed of all inference providers. Use powerful models curated by Fireworks or our in-house trained multi-modal and function-calling models. Fireworks is the 2nd most used open-source model provider and also generates over 1M images/day. Our OpenAI-compatible API makes it easy to start building with Fireworks. Get dedicated deployments for your models to ensure uptime and speed. Fireworks is proudly compliant with HIPAA and SOC2 and offers secure VPC and VPN connectivity. Meet your needs with data privacy - own your data and your models. Serverless models are hosted by Fireworks, there's no need to configure hardware or deploy models. Fireworks.ai is a lightning-fast inference platform that helps you serve generative AI models.
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About
Nextbit Inference hosts open-weight AI models behind API endpoints compatible with OpenAI and Anthropic request formats. Developers can select from a model catalog and invoke models through established client libraries, with token-based pricing. Service options include shared serverless inference and dedicated single-tenant endpoints with reserved capacity. Nextbit also offers model fine-tuning and deployment for fine-tuned or customer-provided models. It serves AI and machine-learning engineers building applications, agents, and production inference workflows. Customers can choose EU or global endpoints, and dedicated deployments can be configured for data-location or infrastructure needs. The API fits existing development workflows, while serverless inference lets customers access GPU-backed model serving without operating the underlying inference infrastructure.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers in search of a production AI platform to manage generative AI models
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Audience
AI engineering teams, ML engineers, CTOs and organizations deploying open-weight AI models through APIs or dedicated infrastructure.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
$0.20 per 1M tokens
Free Version
Supported
Free Trial
Not Supported
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Pricing
$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 Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationFireworks AI
fireworks.ai/
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Company InformationNEXTBIT 256, S.L.
Founded: 2021
Spain
www.nextbit256.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
OpenAI
Supported
AI SpendOps
Supported
APIPark
Supported
AptlyStar.ai
Supported
BotDojo
Supported
Cline
Not Supported
E2B
Supported
Inworld TTS
Supported
Kimi K2.6
Supported
Kimi K2.7 Code
Supported
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Integrations
OpenAI
Supported
AI SpendOps
Not Supported
APIPark
Not Supported
AptlyStar.ai
Not Supported
BotDojo
Not Supported
Cline
Supported
E2B
Not Supported
Inworld TTS
Not Supported
Kimi K2.6
Not Supported
Kimi K2.7 Code
Not Supported
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