By Kyle McCarthy
· Feb 14, 2025
The great open weights debate
Open weights models allow developers to access and modify the underlying parameters of AI, enabling customization and adaptation. Restricted weights models, controlled by providers like OpenAI, limit access and customization.
Adaptive Inference
AI Infrastructure
Large Language Models
Foundation models
AI models
LLMs
Generative AI
Open Source LLMs
By Anjin Stewart-Funai
· Feb 3, 2025
The power of batch inference: A game-changing alternative to real-time inference
The benefits of batch inference over real-time inference for large language models
Adaptive Inference
AI Infrastructure
Large Language Models
Foundation models
AI models
LLMs
Generative AI
Open Source LLMs
By Anjin Stewart-Funai
· Jan 29, 2025
Announcing fine-tuning on kluster.ai: Shape AI to your needs
Launch of fine-tuning capabilities on kluster.ai
Adaptive Inference
AI Infrastructure
Large Language Models
Foundation models
AI models
LLMs
Generative AI
Open Source LLMs
By Anjin Stewart-Funai
· Jan 21, 2025
Introducing DeepSeek-R1 on kluster.ai: Your AI copilot
Transparent reasoning meets state of the art performance
Adaptive Inference
AI Infrastructure
Large Language Models
Foundation models
AI models
LLMs
Generative AI
Open Source LLMs
By Anjin Stewart-Funai
· Dec 11, 2024
Introducing kluster.ai’s Adaptive Inference: Scalable, on-demand access to Llama 3.3 & 3.1 models
Transform your AI workflows with dynamic scaling, cutting-edge models, and game-changing cost efficiency.
Adaptive Inference
AI Infrastructure
Large Language Models
Foundation models
AI models
LLMs
Generative AI
Open Source LLMs