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NVIDIA hardware, software, and developer news.
NVIDIA's multi-GPU solver makes huge planning problems for supply chains and power grids faster to solve, though only past a certain size, and its own benchmarks show where it loses.
NVIDIA wants telescope and detector images to stay on the GPU from first read to final human review, and its own fine print on the speedups deserves as much attention as the headline numbers.
Read TechCrunch's Disrupt roundtable list as a map, and one theme keeps surfacing: AI that looks great in a pilot and then stalls before it reaches real work.
Lambda's reported $4 billion raise looks like proof of AI demand, but its backlog is leaning on one customer, and that concentration is the real story heading into an IPO.
NVIDIA cut the cost of making giant training runs exactly reproducible to about 2 percent, which turns a debugging luxury into something labs can afford to leave switched on.
NVIDIA is consolidating GPU-driven networking into one shared layer, a dull-sounding cleanup that makes AI clusters faster and NVIDIA's stack even harder to step away from.
Look past the trillion-parameter headline: Le Chonk's sharpest claim is that it will do defensive security work closed models refuse, and that claim carries both promise and risk.
NVIDIA's green contexts let one program carve a GPU into dedicated lanes, and the latency win for urgent work is big enough that inference and robotics teams should take notice.
NVIDIA says telecom carriers are betting on open models for control and local fit, a sensible trend from a vendor with an obvious stake in how it's framed.
A new walkthrough shows how to train a robot policy from NVIDIA’s huge Cosmos3-DROID dataset without downloading it, a quiet but meaningful step toward making robot learning affordable outside big labs.
NVIDIA is showcasing startups using AI at every step of breast cancer care, from two-minute wearable ultrasound to pathology-based treatment predictions — promising, but it’s a vendor’s highlight reel, not a trial readout.
MarkTechPost’s IsaacTeleop walkthrough is a Colab tutorial with no headset: NumPy-built inputs, a graph retargeter, and the plumbing that turns XR hands into robot actions.