NVIDIA has introduced Describe Anything 3B (DAM-3B), a multimodal large language model designed for fine-grained, localized captioning of images and videos. This model provides detailed narration of visual content, specifying what is happening, where, and why it matters down to pixel-level regions. The launch highlights NVIDIA's ongoing advancements in multimodal generative AI, showcased at the International Conference on Learning Representations (ICLR), where the company presented over 70 projects emphasizing the critical role of raw chip power in accelerating AI development. Additionally, NVIDIA promotes its A800 40GB Active GPU, optimized for AI, data science, and high-performance computing, addressing the growing demand for powerful GPUs in higher education and research. As AI compute costs rise, software companies are increasingly adopting usage-based pricing models, while cloud providers and enterprises are building self-service GPU clouds to support the surge in generative AI workloads. Partnerships such as that between NVIDIA and Rafay Systems Inc. aim to simplify deployment of secure, scalable AI infrastructure. The demand for on-demand GPUs remains high, offering a scalable and cost-effective solution for researchers and startups facing budget constraints with traditional cloud providers.
Nvidia's 70+ projects at ICLR show how raw chip power is central to AI's acceleration https://t.co/uytgQcamqF
As the demand for #generativeAI surges, cloud providers and enterprises are building self-service GPU clouds to meet it. Learn how @rafaysystemsinc and NVIDIA #acceleratedcomputing are making it easier to deploy secure, scalable AI infrastructure. https://t.co/WYaZU5A0nt
📈 The demand for GPUs in academia has never been higher, yet access remains frustratingly limited. On-demand GPUs offer a scalable, cost-effective way forward, ensuring researchers stay competitive and meet their goals. Explore more in this @storj blog 👉 https://t.co/ysIUPnZQrd https://t.co/uITAYqfdnU