CHAI AI boosts performance by quantizing its social AI models to 4-bit, achieving a 56% throughput increase while maintaining top-tier accuracy and user engagement.
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| CHAI's 4-bit quantized LLMs slash latency and boost performance, enabling the platform to serve over 1.2T tokens daily with minimal accuracy loss. Image: CHAI |
PALO ALTO, California, USA — June 21, 2025:
CHAI, the rapidly growing social AI company, has announced a major technological advancement with the successful deployment of 4-bit quantized large language models (LLMs). This breakthrough, developed by CHAI’s in-house AI research team, delivers a 56% increase in inference throughput while maintaining high performance, marking a significant milestone as the platform now processes 1.2 trillion tokens per day.
Model quantization, which reduces the numerical precision of neural network parameters, has become a vital optimization technique for large-scale AI systems. CHAI’s team evaluated various quantization formats—including INT8, FP16, and hybrid approaches—before selecting a 4-bit solution that preserves model accuracy with less than 1% performance degradation. This move results in dramatically faster response times, reduced compute and memory demands, and a leaner model footprint, all without compromising the quality of user interactions.
This advancement follows CHAI’s $20 million investment in compute infrastructure, supporting the platform’s exponential user and token growth. By combining cutting-edge model engineering with hardware scaling, CHAI continues to position itself among the industry’s most competitive players, rivaling the capabilities of platforms like Anthropic’s Claude.
CHAI was the first consumer-facing AI product to surpass one million users, originally built using the open-source GPT-J model before the emergence of ChatGPT and LLaMA. Since its launch three years ago, the platform has grown rapidly, especially among Gen Z users who rely on it for engaging, genre-based storytelling and immersive AI conversations.
The CHAI experience is currently mobile-only, with no browser version available as of March 2025. However, the company has not ruled out future expansion to web. Known for its focus on user safety, CHAI incorporates advanced safeguards to promote healthy interactions while encouraging creative freedom.
Founded in 2020 in Cambridge, UK, by William Beauchamp and his sister, CHAI has since relocated to Palo Alto, California, where it continues to innovate at the intersection of entertainment and AI. The company is actively hiring, offering highly competitive salaries and a fast-paced, impact-driven work environment.