The world’s most high-performance and efficient solution for AI inference computing
Scalable computational power with minimal energy consumption from the cloud to the edge. Our purpose-built solution is designed to excel across a broad spectrum of AI inference applications, effectively meeting the diverse computational demands of a wide range of use cases.
Today's AI innovators face a new set of challenges.
Rapidly advancing AI means foundational model sizes are growing exponentially, leading to significant power and cost challenges. Each new generation of AI demands an exponential increase in power, so the race for innovation leaves a significant environmental footprint in its wake.
At the same time, traditional AI inference solutions struggle with scalability, unable to efficiently match the growing needs of advanced AI models.
At Recogni, we view that challenge as an opportunity.
Committed to environmental responsibility in our pursuit to support AI growth.
Designed to address increasing cost and energy demands in generative AI inference computing.
High Performance
Seamlessly accelerate multi-modal networks and large language models.
Scalability
Meet high computational demands with low latency and power efficiency.
Efficiency
Reduce operational costs and minimize environmental impact.
10x
better power efficiency
10x
higher compute density
10x
lower energy cost
13x
less cost per query
What world of possibilities could Recogni open for your business?
Our technology supports a variety of AI models, including multi-modal generative AI with text and image processing capabilities, reducing total customer cost of ownership with significantly lower energy consumption.
- Cloud providers
- Hyperscalers
- Large enterprises
- Generative AI startups
- Natural language processing and image generation
- Revolutionizes search Recommendation Engines approach
- Optimizes AI-driven digital advertising, and powers advanced productivity assistants with high-performance AI services
- Revolutionize healthcare delivery and improve patient outcomes
- Patient data management and analysis
- Medical imaging analysis
- Drug discovery and development
- Healthcare operations optimization
- Discover and design new materials, optimize their synthesis, and uncover unique material properties
- Craft novel catalysts and fine-tune reaction conditions for groundbreaking chemical advancements
- Dive into the modeling of biological systems and the intricate analysis of biological data
- Fraud detection
- Algorithmic trading
- Customer churn prediction
- Credit scoring
- Investment recommendations
- Customer service data-driven decisions
- Evaluation and management risks
- SmartRobo fabrication
- Computer vision AI-driven image analysis
- Demand forecasting
- Inventory management, and production planning
- Supply chain transparency
- The evolution of the digital commerce landscape, improving operational efficiency and frontend customer experience
- Virtual Try-Ons and augmented reality
- Personalized recommendations
- Price and planogram optimization
- Creating and personalizing new forms of high-quality entertainment content
- Media understanding and analysis
- Creation of more realistic and detailed game worlds
- Media production and distribution
What is the difference between Training and Inference?
AI inference requires a different solution, purpose-built for deploying AI in production environments.
Recogni’s solutions are designed with the compute and efficiency required to handle immense volumes of data with minimal impact to the environment.
