This weblog publish focuses on new options and enhancements. For a complete checklist, together with bug fixes, please see the launch notes.
Single-Click on Deployment
Mannequin deployment on Clarifai is now quicker and simpler. Beforehand, customers needed to manually configure clusters and nodepools earlier than deploying a mannequin, with restricted setup steerage.
With Single-Click on Deployment, Clarifai now recommends appropriate occasion sorts primarily based on every mannequin’s necessities and robotically creates clusters or nodepools if none exist. This removes the necessity for any guide setup, permitting customers to deploy fashions immediately.
The platform intelligently matches compute sources to mannequin wants, guaranteeing the correct GPU sort, reminiscence, and core allocation for each deployment. For Premium GPUs such because the NVIDIA B200, customers can attain out by means of the built-in Contact Us choice to provision devoted cases for increased efficiency.
This replace eliminates pointless steps, reduces setup errors, and makes manufacturing deployment potential in a single click on. Try the entire information right here on the Customized Mannequin Deployment Information.
New Fashions
DeepSeek-OCR: Excessive-Precision Textual content Extraction at Scale
DeepSeek-OCR units a brand new customary for large-scale doc understanding and OCR efficiency. It delivers over 96% precision at 9–10× compression, and round 90% accuracy even at 10–12× compression, sustaining reliability beneath heavy optimization.
Designed for production-grade scalability, DeepSeek-OCR can course of over 200,000 pages per day on a single A100-40G GPU, enabling enterprise-level doc automation at a fraction of typical compute price.
You possibly can attempt DeepSeek-OCR instantly within the Playground or entry it by means of the API. Try the detailed DeepSeek-OCR API Information.
GLM-4.6: Unified Reasoning, Coding, and Agentic Intelligence
The GLM-4.6 mannequin brings collectively reasoning, code understanding, and agentic capabilities right into a single unified framework. It’s optimized for multi-domain duties the place fashions want to investigate, plan, and generate in a structured method.
GLM-4.6 allows constant reasoning efficiency throughout pure language, programming, and tool-using contexts, making it supreme for builders constructing clever brokers or multi-skill assistants.Check out the mannequin right here.
Management Heart: Unified Ops and Token Reporting
The Management Heart now supplies a single, constant view of mannequin utilization throughout all billing strategies.
Beforehand, utilization statistics had been tied to the billing configuration. Ops-billed fashions reported solely operations, token-billed fashions reported solely tokens, and fashions billed by compute time didn’t show detailed stats.
With this replace, all fashions now report operations, and LLMs moreover report token utilization. This ensures constant visibility and clear monitoring for each mannequin, no matter the way it’s billed.
The result’s a extra dependable and unified monitoring expertise for builders and groups managing large-scale deployments.
Structured Outputs
Clarifai now helps structured JSON outputs from any OpenAI-compatible mannequin hosted on the platform utilizing Pydantic schemas.
This functionality ensures that mannequin responses comply with an outlined schema, permitting builders to implement constant knowledge constructions throughout outputs. Structured outputs make it simpler to combine AI-generated knowledge into downstream functions safely and reliably.
Right here’s an instance utilizing the GPT-OSS-120B mannequin by means of Clarifai’s OpenAI-compatible API:
Extra Adjustments
Search by Relevance in Group
The Group search expertise has been refined to floor extra related outcomes.
Beforehand, all fields akin to mannequin ID, consumer ID, and outline had been weighted equally in search rating. With this replace, mannequin IDs (for instance, gpt-oss-120b) now carry increased weight, guaranteeing that searches prioritize essentially the most related and particular fashions.
Atmosphere Secrets and techniques
Clarifai now helps setting secrets and techniques, permitting builders to securely retailer encrypted values that may be referenced as setting variables in workflows.
This improves safety and simplifies administration of credentials and different delicate configuration knowledge. Study extra about setting secrets and techniques right here.
Toolkits
Help for added toolkits has been added to the Clarifai CLI, making it simpler to initialize mannequin initiatives with pre-configured templates.
Builders can now specify a toolkit when creating a brand new mannequin undertaking utilizing the clarifai mannequin init command:
These toolkits streamline setup, guaranteeing consistency and quicker onboarding for each SGLang-based and Python-based mannequin improvement. Try the detailed Toolkit Information right here.
Able to Begin Constructing?
With Single-Click on Deployment, Clarifai makes it simpler than ever to carry your individual fashions and deploy them in manufacturing with minimal setup. The platform robotically manages cluster creation, occasion choice, and scaling, permitting you to deal with iterating and enhancing your fashions as a substitute of configuring infrastructure.
You can begin by deploying your individual mannequin utilizing the brand new one-click workflow or discover the rising catalog of neighborhood and printed fashions.
If you happen to want entry to high-end GPUs just like the B200 or GH200 in your AI workloads, attain out to our workforce to be taught extra about devoted provisioning and efficiency optimization choices.