Tech • IA • Crypto
41 articles analyzed by AI / 49 total
An individual secured a data center internship at NVIDIA after applying to 200 positions, demonstrating the company’s high demand for talent in its datacenter segment. The experience also highlights hiring challenges and the competitive nature of internships in Big Tech, particularly at NVIDIA.
NVIDIA detailed kernel fusion in CUDA technology, a technique that optimizes memory traffic and reduces launch overhead to improve GPU program performance. This technical advancement, shared on the NVIDIA Developer blog, aims to increase efficiency for CUDA developers.
NVIDIA experienced a nearly $1 trillion market capitalization decline, dropping its trading value back to pre-AI boom levels in 2026. This valuation correction suggests a major industry reevaluation of the company’s growth prospects despite its leading role in AI hardware.
On May 9, 2026, NVIDIA released CUDA-Oxide 0.1, enabling developers to write GPU kernels using the Rust programming language without leaving Rust. This broadens CUDA development options and may influence future GPU software development practices.
NVIDIA introduced a new liquid cooling system for AI data center servers that operates at temperatures hotter than bathwater but claims to significantly reduce water and power consumption. This innovation aims at improving data center efficiency and sustainability for AI workloads.
Leaks and announcements on TPU indicate NVIDIA is preparing to launch the GeForce RTX 5090 SE, a potentially new high-end graphics card expected soon. This suggests NVIDIA is continuing to advance its GPU lineup with more powerful consumer products.
An article recounts the story of securing a data center internship at NVIDIA after sending out 200 applications, revealing insights into hiring challenges and internship competitiveness within NVIDIA’s tech sectors.
A user shared their experience with the NVIDIA DGX Spark AI system, noting it achieved processing speeds of over 90 tokens per second. This highlights the DGX Spark’s performance capabilities for AI and data center workloads.
Jim Cramer claimed that NVIDIA is the most proprietary chip company in history and argued that the market is undervaluing the company. He emphasized NVIDIA’s unique technological advantages and suggested its market valuation does not reflect its true competitive position.
Astellas deployed NVIDIA’s Boltz-2 NIM AI structure prediction system to accelerate and democratize drug discovery processes. This collaboration showcases NVIDIA’s growing influence in applying AI technology beyond traditional sectors into life sciences.