Recogni GenAI Inference System
Recogni provides a multimodal GenAI inference system for data centers, designed to be efficient, economical, and scalable to support the largest AI models with high accuracy and low cost.
Recogni is dedicated to accelerating AI ambitions by providing the most efficient multimodal Generative AI inference system, specifically tailored for data centers. The system is engineered to address the core challenges of cost and accuracy associated with large-scale AI models. Recogni’s offerings are ideal for hyperscalers, cloud service providers, and enterprises aiming to leverage high-performance AI inference with optimized power and cost efficiencies. With innovations such as their unique logarithmic math numbers system and cutting-edge hardware co-designed with software, they ensure the delivery of economically feasible AI model deployment without compromising on quality. Furthermore, Recogni emphasizes sustainability and profitability by allowing more tokens per dollar and per kilowatt-hour, making GenAI more accessible and financially viable.
Pros:
- Highly efficient and low-cost GenAI inference
- Designed for the largest AI models with high scalability
- Focus on power efficiency and sustainability
- Logarithmic math number system for improved accuracy
Cons:
- Currently exploring business models, not widely available
- Product timelines and beta availability are forthcoming
- Complex integration may require significant technical expertise
Features:
- Unique logarithmic math numbers system - Enhances trust and accuracy with low power consumption.
- Co-designed hardware and software - Optimized for the highest performance and efficiency.
- Scalability for large models - Supports the largest GenAI models with high throughput and efficiency.
- Sustainable technology - Significantly lower power and cost requirements.
Integrations:
- Future integration capabilities - Potential for integration with cloud service providers.
- Partner network support - Collaborations with hardware and software vendors for optimized performance.
Pricing:
- Pricing model - Details not disclosed, exploration of various models such as laaS.
Implementation Timeline
Not Disclosed
Onboarding
Not Disclosed
Sandbox
Not Disclosed
Compliance
Not Disclosed
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