OneRail unveils OmniStar, an NVIDIA-powered delivery decision AI
Cutting route selection from 20 minutes to 2.5 minutes, a last-mile carrier races ahead with NVIDIA AI
A company that makes the chips that power AI. Rather than a competitor in the chatbot race, it's the one selling picks and shovels to everyone in it. Its flagship products are GPUs and the AI infrastructure software built on top of them. In August 2026, it began officially supporting its cloud gaming service GeForce NOW on Linux, and around the same time, it published a method for isolating Kubernetes tenants on shared GPUs. In autonomous driving, it introduced a 34-billion-parameter reasoning model, and in robot policy learning, it presented a video-based learning approach. It also tried to expand the AI ecosystem for handling the physical world through its open world model 'Cosmos 3'.
Current rank (1M)
5
Rank over the last 30 days
2026.08.18 – 2026.09.16 · High 3 · Low 5 · Now 5
Cutting route selection from 20 minutes to 2.5 minutes, a last-mile carrier races ahead with NVIDIA AI
NVIDIA struck the deal with Lambda, a company it has backed, and took direct responsibility for leasing the Texas data center as well
GenAI.mil has added ChatGPT Mil and Grok for Government, but Anthropic's Claude is still missing.
The bigger bottleneck isn't power supply — it's transformers, wiring, cooling, and networking construction
Hardware and software companies alike beat expectations this week, quieting worries that AI spending was starting to slow
JPMorgan arranges short-term private notes so Lambda can secure GPUs to lease to Microsoft
We read the unconfirmed $12.9 billion acquisition report against NIM, the now-defunct DGX Cloud integration, multi-cloud neutrality, and China's open-weight models and regulations.
Perplexity says weaving sessions, files, and sources into a knowledge wiki lifted accuracy by nearly 9 points while cutting token usage 15%
The anonymous model that topped usage charts for a week was Z.ai's new multimodal model. All of its traffic ran on Chinese-made AI chips.
Perplexity says its 27B on-device model paired with a custom harness outperformed open-source competitor harnesses on knowledge-work, web search, and document-parsing tests
First benchmarks unveiled at Hot Chips show throughput per watt up to 1.9x that of the best existing systems
Pro and Max subscribers now get a portable computer that runs the orchestrator, sub-agents, and harness entirely on local hardware.