NVIDIA today announced the next evolution of the NVIDIA Blackwell AI factory platform, NVIDIA Blackwell Ultra — paving the way for the age of AI reasoning.
Category: Misc
NVIDIA announced world-record DeepSeek-R1 inference performance at NVIDIA GTC 2025. A single NVIDIA DGX system with eight NVIDIA Blackwell GPUs can achieve over…
NVIDIA announced world-record DeepSeek-R1 inference performance at NVIDIA GTC 2025. A single NVIDIA DGX system with eight NVIDIA Blackwell GPUs can achieve over 250 tokens per second per user or a maximum throughput of over 30,000 tokens per second on the massive, state-of-the-art 671 billion parameter DeepSeek-R1 model. These rapid advancements in performance at both ends of the performance…
NVIDIA today unveiled partnerships with industry leaders T-Mobile, MITRE, Cisco, ODC, a portfolio company of Cerberus Capital Management, and Booz Allen Hamilton on the research and development of AI-native wireless network hardware, software and architecture for 6G.
Scientists and engineers of all kinds are equipped to solve tough problems a lot faster with NVIDIA CUDA-X libraries powered by NVIDIA GB200 and GH200 superchips. Announced today at the NVIDIA GTC global AI conference, developers can now take advantage of tighter automatic integration and coordination between CPU and GPU resources — enabled by CUDA-X
Read Article
Every second, businesses worldwide are making critical decisions. A logistics company decides which trucks to send where. A retailer figures out how to stock its shelves. An airline scrambles to reroute flights after a storm. These aren’t just routing choices — they’re high-stakes puzzles with millions of variables, and getting them wrong costs money and,
Read Article
Scikit-learn, the most widely used ML library, is popular for processing tabular data because of its simple API, diversity of algorithms, and compatibility with…
Scikit-learn, the most widely used ML library, is popular for processing tabular data because of its simple API, diversity of algorithms, and compatibility with popular Python libraries such as pandas and NumPy. NVIDIA cuML now enables you to continue using familiar scikit-learn APIs and Python libraries while enabling data scientists and machine learning engineers to harness the power of CUDA on…
Qubits are inherently sensitive to noise, and it is expected that even the most robust qubits will always exhibit noise levels orders of magnitude from what’s…
Qubits are inherently sensitive to noise, and it is expected that even the most robust qubits will always exhibit noise levels orders of magnitude from what’s required for practical quantum applications. This noise problem is solved with quantum error correction (QEC). This is a collection of techniques that can identify and eliminate errors in a controlled way, so long as qubits can be…
Physical AI is unlocking new possibilities at the intersection of autonomy and robotics — accelerating, in particular, the development of autonomous vehicles (AVs). The right technology and frameworks are crucial to ensuring the safety of drivers, passengers and pedestrians. That’s why NVIDIA today announced NVIDIA Halos — a comprehensive safety system bringing together NVIDIA’s lineup
Read Article
General Motors and NVIDIA today announced they are collaborating on next-generation vehicles, factories and robots using AI, simulation and accelerated computing.
Categories