Google buried the announcement inside a Q1 earnings call that had plenty of other headline-worthy numbers — 109.
Every multimodal agent demo I've seen follows the same script: chain a vision model to a language model, bolt on Whisper for audio, pray the latency...
Scott Guthrie called Maia 200 "30 percent cheaper than any other AI silicon on the market" when he unveiled it in January.
NVIDIA's GR00T N1 humanoid robot trained on 780,000 synthetic episodes — 6,500 hours of practice generated in just 11 hours.
NVIDIA doesn't do charity — so when Jensen Huang wrote a 5 billion check for 214 million Intel shares at 23.
Epoch AI published a manufacturing teardown of NVIDIA's B200 last month.
Jensen Huang called it a "horrible outcome for America.
Scroll through the investor list on SiFive's freshly closed 400 million round and you hit a name that shouldn't be there: NVIDIA.
Google just told you its biggest cost problem isn't training. It's serving.
Quantum computing has a plumbing problem.
Jensen Huang does not spend $20 billion on chips he could build himself. He spends it on chips he did not want to admit he needed.
NVIDIA's latest MLPerf Inference v6.0 submission hit $0.
NVIDIA just dropped a full-stack open robotics platform during National Robotics Week, and it's the first time I've looked at humanoid robot...
Meta just signed the single largest AI hardware procurement deal among the Magnificent Seven, and the check went to AMD, not NVIDIA.
Anthropic just told us where the inference money is going, and it's not where most people expected.
For the first time in the MLPerf inference benchmarks, AMD posted numbers that don't require mental gymnastics to interpret.
NVIDIA dropped Nemotron 3 Super a few weeks ago, and the discourse moved on within 48 hours. Understandable — March was a firehose of model releases.
Three years ago, running a GPT-4-class model cost roughly 20 per million tokens. Today the same caliber of output runs at 0.
Twelve months ago, if you asked an ML platform team what kept them up at night, the answer was GPU availability.