Meta’s first open-weight natively multimodal LLMs usher in a new era of AI as they combine text and images in a single, efficient system. Now available on kluster.ai, Llama 4 Maverick and Llama 4 Scout give developers unparalleled performance for multimodal applications.

We’re excited to announce that kluster.ai is now hosting DeepSeek-V3-0324, the latest and most powerful version of DeepSeek’s popular DeepSeek-V3 model. This upgraded model delivers significant improvements in reasoning, coding, and multilingual capabilities, making it even better for developers, researchers, and businesses.

If February had a theme, it would be velocity. At kluster.ai, we spent the shortest month of the year laying track for the future of AI, and the numbers, partnerships, and community momentum speak for themselves.

If February had a theme, it would be velocity. At kluster.ai, we spent the shortest month of the year laying track for the future of AI, and the numbers, partnerships, and community momentum speak for themselves.

Enterprises face precision challenges with LLMs in specialized tasks, leading to RAG and fine-tuning. RAG retrieves external data for real-time relevance but needs quality sources and maintenance. Fine-tuning embeds domain knowledge, offering consistency but requires periodic updates. Choice depends on data needs and complexity.

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.

The benefits of batch inference over real-time inference for large language models

Launch of fine-tuning capabilities on kluster.ai

Transparent reasoning meets state of the art performance

Transform your AI workflows with dynamic scaling, cutting-edge models, and game-changing cost efficiency.