Despite its smaller size, DeepSeek-R1-0528-Qwen3-8B beats Google’s Gemini 2.5 Flash on a tough math test called AIME 2025 and ...

Developed with SGLang, Atlas Inference surpasses leading AI companies in throughput and cost, running DeepSeek V3 & R1 faster than DeepSeek themselves.

Additionally, the model’s hallucination rate has been reduced, contributing to more reliable and consistent output.

The integration of DeepSeek-R1-0528 improves key benchmark performance metrics, such as accuracy and coding performance, which can provide clients with more precise and efficient AI solutions for ...

Aurora Mobile Limited (NASDAQ: JG) ("Aurora Mobile" or the "Company"), a leading provider of customer engagement and marketing technology services in China, today announced the integration of newly ...

Developed with SGLang, Atlas Inference surpasses leading AI companies in throughput and cost, running DeepSeek V3 & R1 faster than ... maximizes GPU efficiency by processing more tokens faster ...

Chinese firm DeepSeek released ... their AI models more efficient to deal with U.S. semiconductor export curbs. Jensen Huang, CEO of Nvidia, which designs the graphics processing units required ...

These enhancements empower GPTBots.ai users to tackle complex tasks in domains like math, science, business, and programming with greater precision and efficiency ... GPU memory, making it accessible ...

Developed with SGLang, Atlas Inference surpasses leading AI companies in throughput and cost, running DeepSeek V3 & R1 faster than DeepSeek ... dramatically reduces GPU and server requirements ...

DeepSeek-R1-0528-Qwen3-8B, optimized for smaller-scale applications. This variant achieves state-of-the-art performance among open-source models while requiring only 16 GB of GPU memory ...