Cohere's Command A, a 111B-parameter AI model, redefines enterprise AI. It offers high performance with drastically reduced operational costs, running efficiently on just two GPUs. Featuring a 256K context length and support for 23 languages, it excels in various tasks, providing speed, accuracy, and robust security for businesses of all sizes.
Cohere's Command A redefines generative AI efficiency. It rivals GPT-4o and DeepSeek-V3 in performance, using only two GPUs. Optimized for enterprise, it boasts a 256k token context window and 23-language support. Command A is designed to enhance human work, offering speed, accessibility, and practical application for businesses seeking powerful, cost-effective AI solutions.
Cohere's Command A is a 111B parameter AI model designed for enterprises. It features a 256K context length, supports 23 languages, and offers a 50% cost reduction. This model excels in efficiency, multilingual tasks, and real-world applications, outperforming competitors in speed and accuracy while prioritizing security and cost-effectiveness for businesses.
Cohere's new Command A large language model (LLM) offers high performance for business applications with minimal hardware. It surpasses competitors like OpenAI's GPT-4o, operating on just two GPUs. Features include a 156 tokens/second generation rate and a 256,000-token context window, double the industry average. It's designed for agentic AI and integrates with Cohere's North platform.
Cohere's Command R is a large language model (LLM) offering a blend of top-tier performance and reduced energy consumption. It operates on just two GPUs, addressing environmental concerns and broadening access to cutting-edge technology. Command R excels in multilingual tasks, boasting a 256K token context window and demonstrating strong performance across various benchmarks.
Cohere unveils Command A, a new large language model (LLM) designed for enterprise use. It boasts superior speed and efficiency, requiring fewer GPUs and offering twice the context length of competitors. Command A excels in inference and retrieval-augmented generation (RAG) tasks, making it a cost-effective and powerful solution for businesses seeking to enhance productivity.
