

Highlight 1
EXXA offers competitive pricing, making it more affordable for users looking for large-scale LLM inferences.
Highlight 2
The ability to process large batches overnight contributes to optimizing GPU usage, reducing costs further.
Highlight 3
The platform supports various applications, from data generation to model evaluation, catering to a diverse range of user needs.

Improvement 1
The website's user experience could be enhanced with a more intuitive design and clearer navigation to help users find features more easily.
Improvement 2
More comprehensive documentation or user guides would assist new users in understanding the platform's functionalities and capabilities.
Improvement 3
Implementing more robust customer support options (e.g., live chat, extensive FAQs) could improve user satisfaction and address queries in real-time.
Product Functionality
Introduce additional integrations with popular data processing tools to enhance usability.
UI & UX
Redesign the website for a streamlined user experience, focusing on intuitive navigation and clearer calls to action.
SEO or Marketing
Implement content marketing strategies, such as blog posts and case studies, to increase visibility and engagement with target audiences.
MultiLanguage Support
Consider adding multi-language support to cater to a global user base, which can broaden market reach.
- 1
What models are currently supported by EXXA?
EXXA currently supports Llama 3.1 8B and 70B FP16 models for batch processing.
- 2
How does EXXA achieve its low pricing?
EXXA achieves low pricing by utilizing idle GPUs available at cloud data centers and focusing on batch processing to optimize costs.
- 3
Can I use custom LLM models with EXXA?
Yes, EXXA can host custom LLM models; users should contact the team for pricing and details.