Mistral AI and NVIDIA launched Mistral NeMo 12B, a state-of-the-art language model for enterprise applications such as chatbots, multilingual tasks, coding, and summarization. The collaboration combines Mistral AI’s training data expertise with NVIDIA’s optimized hardware and software ecosystem, offering high performance across diverse applications.
This state-of-the-art language model promises to enhance the development of enterprise applications with its exceptional capabilities in chatbots, multilingual tasks, coding, and summarization. The collaborative effort between Mistral AI’s deep expertise in training data and NVIDIA’s optimized hardware and software ecosystem has resulted in a model that sets new benchmarks for performance and efficiency.
The Power of Collaboration
The partnership between Mistral AI and Nvidia was pivotal in bringing the Mistral NeMo 12B to life. Leveraging NVIDIA’s top-tier hardware and software, Mistral trained the model on the Nvidia DGX Cloud AI platform, which provides dedicated, scalable access to the latest Nvidia architecture. This synergy has enabled the development of a model with unprecedented accuracy, flexibility, and efficiency.
The Mistral NeMo 12B Model
Mistral NeMo 12B handles large context windows of up to 128,000 tokens, offering unprecedented accuracy in reasoning, world knowledge, and coding within its size category. Built on a standard architecture, it ensures seamless integration, serving as a drop-in replacement for systems currently using the Mistral 7B model.
The Mistral NeMo 12B model excels in various complex tasks:
- High-Performance Inference: Utilizing Nvidia’s TensorRT-LLM for accelerated inference performance, the model delivers rapid and accurate results across diverse applications.
- Extensive Context Processing: With a context window of up to 128,000 tokens, Mistral NeMo can handle extensive and complex information, ensuring more coherent and contextually relevant outputs.
- Efficiency and Scalability: The model’s use of the FP8 data format reduces memory size and speeds up deployment without any loss in accuracy, making it ideal for real-time applications.
The model’s open-source nature, released under the Apache 2.0 license, encourages widespread adoption, making advanced AI accessible to researchers and enterprises.
Versatility and Enterprise Readiness
The model is packaged as an Nvidia NIM inference microservice, offering performance-optimized inference with TensorRT-LLM engines, allowing for deployment anywhere in minutes. This containerized format ensures enhanced flexibility and ease of use for various applications.
Enterprise-Grade Support and Security
Available as part of Nvidia AI Enterprise, Mistral NeMo 12B also includes comprehensive support features from Nvidia:
- Dedicated Feature Branches: Ensuring specialized and reliable performance.
- Rigorous Validation Processes: Maintaining high standards of accuracy and efficiency.
- Enterprise-Grade Security: Protecting data integrity and privacy.
This allows direct access to Nvidia AI experts and defined service-level agreements, delivering consistent and reliable performance for enterprise users.
Open-Source Options
While the new model is available as part of Nvidia AI Enterprise, its availability is much broader, including availability on Hugging Face. Mistral released NeMo under the Apache 2.0 license, where anyone interested can use the technology.
As a small language model, Mistral NeMo is designed to fit on the memory of affordable accelerators like Nvidias L40S, GeForce RTX 4090, or RTX 4500 GPUs, offering high efficiency, low compute cost, and enhanced security and privacy.
Analyst’s Take
The AI market is one of the most competitive markets in technology, with giants like OpenAI, IBM, Anthropic, Cohere, and nearly every public cloud provider all working to find the right solutions to bring the value of generative AI into the enterprise. The line between competitor and partner is often blurry, such as Mistral’s relationship with Microsoft, which has its internal efforts and a deep relationship with OpenAI. This is a world that continues to evolve.
Mistral AI is a strong, and growing, competitor in the AI model space, showing the necessary blend of technical competence and execution. Its execution is impressive. In August alone, Mistral released its NeMo model with Nvidia, its new Codestral Mamba model for code generation, and Mathstral for math reasoning and scientific discovery. It has strong relationships with companies like Nvidia, Microsoft, Google Cloud, and Hugging Face, yet faces equally fierce competition.
Mistral AI was founded with the mission to push the boundaries of AI capabilities. Thanks to its innovative approaches and strategic partnerships, the company has no difficultly adhering to that mission while growing its importance in the field. The release of Mistral NeMo 12B continues that momentum forward. We can’t wait to see what’s next.
