Top Computer Makers, Cloud Service Providers and GPU Cloud Providers to Boost Training and Test-Time Scaling Inference, From Reasoning to Agentic and Physical AI New Open-Source NVIDIA Dynamo Inference Software to Scale Up Reasoning AI Services With Leaps in Throughput, Faster Response Time and Reduced Total Cost of Ownership NVIDIA Spectrum-X Enhanced 800G Ethernet Networking for AI Infrastructure Significantly Reduces Latency and Jitter SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- 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.
Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q.
For further information, contact:Kristin UchiyamaNVIDIA Corporation+1-408-313-0448kuchiyama@nvidia.com Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA’s products, services, and technologies; third parties adopting or offering NVIDIA’s products and technologies; Blackwell Ultra being able to easily and efficiently do pretraining, post-training and reasoning AI inference; and advanced networking being a critical component of AI infrastructure that can deliver top performance while reducing latency and jitter are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations.
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