NVIDIA
NVIDIA designs the GPUs that train and run virtually every major AI model, from the H100 to the Blackwell generation. Its CUDA software stack and data-center chips made it one of the most valuable companies on Earth and the bottleneck of the AI boom. All our NVIDIA coverage: chips, earnings and ecosystem news.
Google pays cloud providers to switch to its own accelerators
Google has started offering financial incentives to cloud providers to buy its in-house AI accelerators instead of NVIDIA solutions. The move resembles OpenAI’s…
Altman acknowledged: Chinese AI is advancing «surprisingly fast»
The head of OpenAI publicly noted the rapid progress of Chinese rivals. Behind the compliment lies concern — and possibly a bid for new investment and regulatory…
G42 and Cerebras deploy 8 exaflops of compute power in India
Emirati tech company G42 is joining forces with US chipmaker Cerebras to deploy 8 exaflops of compute infrastructure in India — and that shifts the balance in the…
NVIDIA Nemotron 2 Nano 9B: a new standard for sovereign AI in Japan
Nvidia fully exits its stake in Arm after takeover attempt
The battle for memory: why AI infrastructure is no longer limited to GPUs alone
Lenovo and Nvidia join forces to build AI factories
Indian AI summit gathers leaders from OpenAI, Nvidia, and Google
A four-day AI summit is underway in India with the participation of major tech giants and heads of state. Key challenges and the future of the industry are being…
Anthropic CEO Dario Amodei criticized Nvidia in Davos
The head of one of the leading AI startups spoke out against shipments of U.S. chips to China, despite investment from Nvidia.
Roland Busch's mission: how Siemens is automating the real world with AI
OpenAI introduced its first AI model based on Cerebras chips
OpenAI switches to new chips, Samsung launches HBM4: tech digest
OpenAI introduces GPT-5.3-Codex-Spark based on Cerebras chips instead of Nvidia
NVIDIA introduced KVTC: an LLM cache compression technology that will make neural networks run 20x faster
NVIDIA researchers introduced KVTC, an innovative KV-cache compression method. The technology can reduce memory consumption by 20x, addressing the main scaling…
Lingxi Photonics raised millions to develop optical engines for AI clusters
# Optical Engines Instead of Copper Cables: How a Chinese Startup Solves a Critical Problem for AI Data Centers When you turn on a Netflix movie, video content is…