DDN and Fluidstack join forces with Mistral AI to Accelerate enterprise AI.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Even as large language and reasoning models remain popular, organizations increasingly turn to smaller models to run AI processes with fewer energy and cost concerns. While some organizations are distilling larger models to smaller versions, model providers like Google continue to release small language models (SLMs) as an alternative to large language models (LLMs), which may cost more to run without sacrificing performance or accuracy. With that in mind, Google has released the latest version of its small model, Gemma, which features expanded context windows, larger parameters and more multimodal reasoning capabilities. Gemma 3, which has the same processing power as larger Gemini 2.0 models, remains best used by smaller devices like phones and laptops. The new model has four sizes: 1B, 4B, 12B and 27B parameters. With a larger context window of 128K tokens — by contrast, Gemma 2 had a context window of 80K — Gemma 3 can understand more information and complicated requests. Google updated Gemma 3 to work in 140 languages, analyze images, text and short videos and support function calling to automate tasks and agentic workflows. Gemma gives a strong performanceTo reduce computing costs even further, Google has introduced quantized versions of Gemma. Think of quantized models as compressed models

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. New data reveals dramatic AI market share shifts in 2025, with rapid changes in how businesses and consumers utilize artificial intelligence tools. Poe, a platform hosting over 100 AI models, released a comprehensive report today that provides an unprecedented look into real-world usage patterns across text, image, and video generation technologies.Poe’s analysis, based on interactions from millions of users over the past year, offers technical decision-makers crucial insights into a competitive field where usage data is typically closely guarded. “As AI models continue to progress, we believe they will become central to how people acquire knowledge, tackle complex tasks, and manage everyday work,” the company states in its report.The findings highlight significant market fragmentation across all AI modalities. While established players like OpenAI and Anthropic maintain dominant positions in text generation, newer entrants such as DeepSeek in text and Black Forest Labs in image generation have quickly captured meaningful market share, suggesting a dynamic ecosystem despite massive investments flowing toward industry leaders.Here are the five most surprising takeaways from Poe’s analysis of the early 2025 AI ecosystem:A chart tracking AI model usage on Poe during 2024-2025 shows OpenAI’s GPT-4o and Anthropic’s Claude models dominating the text generation market, while newcomers like DeepSeek have begun to capture meaningful market share