/
Navigation
Chronicles
Browse all articles
Explore
Semantic exploration
Research
Entity momentum
Nexus
Correlations & relationships
Story Arc
Topic evolution
Drift Map
Semantic trajectory animation
Posts
Analysis & commentary
Pulse API
Tech news intelligence API
Browse
Entities
Companies, people, products, technologies
Domains
Browse by publication source
Handles
Browse by social media handle
Detection
Concept Search
Semantic similarity search
High Impact Stories
Top coverage by position
Sentiment Analysis
Positive/negative coverage
Anomaly Detection
Unusual coverage patterns
Analysis
Rivalry Report
Compare two entities head-to-head
Semantic Pivots
Narrative discontinuities
Crisis Response
Event recovery patterns
Connected
Search: /
Command: ⌘K
Embeddings: large
TEXXR

Chronicles

The story behind the story

days · browse · Enter similar · o open

A look at the Nvidia A100, a ~$10K GPU that has become a critical tool for generative AI; Nvidia has an estimated 95% market share of machine learning GPUs

- Companies like Microsoft and Google are fighting to integrate cutting-edge AI into their search engines, as billion-dollar competitors …

CNBC Kif Leswing

Discussion

  • @sarbjeetjohal Sarbjeet Johal on x
    .@nvidia jumps 14% after stellar earnings and a rosy outlook. Around 60% of their revenue comes from datacenter, most of that is from #Cloud #hyperscalers. IMO Nvidia will keep benefitting from rise of #AI #MWC23 #Barcelona @dvellante @furrier https://www.cnbc.com/...
  • @stagefright__ Ilija on x
    8 high-powered graphic cards each at 300W to compute a single answer to your chatGPT quip. if true that's at least 2400 Watts thrown at every question. for context my Macbook's (M1 Max) chip draws around 65W at max load https://twitter.com/... https://twitter.com/...