NVIDIA (NASDAQ: NVDA) today reported revenue for the first quarter ended April 27, 2025, of $44.1 billion, up 12% from the previous quarter and up 69% from a year ago.
Category: Misc
The collaboration between Iguazio (acquired by McKinsey) and NVIDIA empowers organizations to build production-grade AI solutions that are not only…
The collaboration between Iguazio (acquired by McKinsey) and NVIDIA empowers organizations to build production-grade AI solutions that are not only high-performing and scalable but also agile and ready for real-world deployment. NVIDIA NIM microservices, critical to these capabilities, are designed to speed up generative AI deployment on any cloud or data center. Supporting a wide range of AI…
Building effective agentic AI systems requires rethinking how technology interacts and delivers value across organizations. Bartley Richardson, senior director of engineering and AI infrastructure at NVIDIA, joined the NVIDIA AI Podcast to discuss how enterprises can successfully deploy agentic AI systems. “When I talk with people about agents and agentic AI, what I really want
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NVIDIA and Google share a long-standing relationship rooted in advancing AI innovation and empowering the global developer community. This partnership goes beyond infrastructure, encompassing deep engineering collaboration to optimize the computing stack. The latest innovations stemming from this partnership include significant contributions to community software efforts like JAX, OpenXLA, MaxText and llm-d. These foundational optimizations
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Over a century ago, Henry Ford pioneered the mass production of cars and engines to provide transportation at an affordable price. Today, the technology industry manufactures the engines for a new kind of factory — those that produce intelligence. As companies and countries increasingly focus on AI, and move from experimentation to implementation, the demand
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Join our live webinar on June 18 to see how NVIDIA NeMo microservices speed AI agent development.
Join our live webinar on June 18 to see how NVIDIA NeMo microservices speed AI agent development.
In the previous post, Profiling LLM Training Workflows on NVIDIA Grace Hopper, we explored the importance of profiling large language model (LLM) training…
In the previous post, Profiling LLM Training Workflows on NVIDIA Grace Hopper, we explored the importance of profiling large language model (LLM) training workflows and analyzed bottlenecks using NVIDIA Nsight Systems. We also discussed how the NVIDIA GH200 Grace Hopper Superchip enables efficient training processes. While profiling helps identify inefficiencies…
The rapid advancements in AI have resulted in an era of exponential growth in model sizes, particularly in the domain of large language models (LLMs). These…
The rapid advancements in AI have resulted in an era of exponential growth in model sizes, particularly in the domain of large language models (LLMs). These models, with their transformative capabilities, are driving innovation across industries. However, the increasing complexity and computational demands of training such models necessitate a meticulous approach to optimization and profiling.
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🐯 Liger GRPO meets TRL
NVIDIA DALI, a portable, open source software library for decoding and augmenting images, videos, and speech, recently introduced several features that improve…
NVIDIA DALI, a portable, open source software library for decoding and augmenting images, videos, and speech, recently introduced several features that improve performance and enable DALI with new use cases. These updates aim at simplifying the integration of DALI into existing PyTorch data processing logic, improving flexibility in building data processing pipelines by enabling CPU-to-GPU flows…