Training Infrastructure
14 produits
Train
LILT
·Model Training Platforms+2
-
Terra
Labelbox
·Model Training Platforms+2
-
Red Hat AI Enterprise
Red Hat
·Model Deployment Platforms+2
-
CoreWeave Sandbox Preview
CoreWeave
·Agent Runtime Platforms+2
-
Managed Kubernetes
CoreWeave
·Model Deployment Platforms+2
-
AI Object Storage
CoreWeave
·Model Serving Infrastructure+2
-
CPU Compute
CoreWeave
·GPU Cloud Platforms+2
-
SUSE AI Factory
SUSE
·Model Deployment Platforms+2
-
Varnish AI Accelerator
Varnish Software
·Inference Acceleration+2
-
Data Centers
Galaxy
·Model Serving Infrastructure+2
-
NVIDIA DGX Platform
NVIDIA
·Model Deployment Platforms+2
-
GPU Instances
Scaleway
·GPU Cloud Platforms+2
-
GPU Clusters
Scaleway
·GPU Cloud Platforms+1
-
ComputeCore Product
Mistral
·AI Compute Orchestration+3
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Model Training PlatformsPrincipalLabeling PlatformsTraining Infrastructure
Train provides high-quality training data for AI systems, enhancing the development of multilingual AI models.
Fonctionnalités
- Produce high-quality labeled data for AI systems
- Generate preference data and feedback signals for model alignment
- Create multilingual and multimodal training datasets
- Design tasks with linguistic and domain-specific expertise
- Perform continuous quality measurement and drift detection
- Deliver training data with full metadata and documentation
- Support reward-based training with verifiable outputs
- Normalize judgment across diverse cultural contexts
Model Training PlatformsPrincipalLabeling PlatformsTraining Infrastructure
Train provides high-quality training data for AI systems, enhancing the development of multilingual AI models.
Fonctionnalités
- Produce high-quality labeled data for AI systems
- Generate preference data and feedback signals for model alignment
- Create multilingual and multimodal training datasets
- Design tasks with linguistic and domain-specific expertise
- Perform continuous quality measurement and drift detection
- Deliver training data with full metadata and documentation
- Support reward-based training with verifiable outputs
- Normalize judgment across diverse cultural contexts