DeepSeek's free 685B-parameter AI model runs at 20 tokens/second on Apple's Mac Studio, outperforming Claude Sonnet while using just 200 watts, challenging OpenAI's cloud-dependent business model.

The rapid advancement of AI tools has intensified global competition, particularly between the United States and China. The release of DeepSeek’s flagship large language model (LLM), followed closely ...

New Dynamo software splits AI inference across 1,000 GPUs to boost query throughput - Nvidia's answer to investor concerns ...

Without the $200 per month subscription to ChatGPT pro, DeepSeek ’s new generative AI model performs similar OpenAI services ...

Nvidia's new offerings could significantly boost the performance of DeepSeek's R1 model, the chip giant's CEO Jensen Huang ...

DeepSeek claims 545% cost-profit ratio, challenging AI industry economics March 4, 2025: In a GitHub post, DeepSeek estimated its daily inference cost for V3 and R1 models at $87,072, assuming a $ ...

The Manus AI agent from China has created a lot of hype, but how does it work and what are its capabilities? Go through our ...

Advances in AI agentic systems, as conceptualized by OpenAI’s framework for autonomous agents, are enabling solo founders to ...

Cerebras Systems is challenging Nvidia with six new AI data centers across North America, promising 10x faster inference speeds and 7x cost reduction for companies using advanced AI models like Llama ...