<
AI
Automation
Science
Innovation
Open Source
Blockchain
Social Media
Startups
Culture
Cloud
>

venturebeat
Alembic melted GPUs chasing causal A.I. — now it's running one of the fastest supercomputers in the world

Alembic Technologies has raised $145 million in Series B and growth funding at a valuation 13 times higher than its previous round, betting that the next competitive advantage in artificial intelligence will come not from better language models but from proprietary data and causal reasoning.The San Francisco-based startup, which builds AI systems that identify cause-and-effect relationships rather than mere correlations, is using a significant portion of the capital to deploy what it claims is one of the fastest privately owned supercomputers ever built — an Nvidia NVL72 superPOD that will power its enterprise-grade causal AI models.The investment, led by Prysm Capital and Accenture with participation from Silver Lake Waterman, Liquid 2 Ventures, NextEquity, Friends & Family Capital [...]

Discover Copy
Rating

Innovation

Pricing

Technology

Usability

We have discovered similar tools to what you are looking for. Check out our suggestions for similar AI tools.

Destination
How to buy a GPU in 2025

One of the trickiest parts of any new computer build or upgrade is finding the right video card. In a gaming PC, the GPU is easily the most important component, and you can hamstring your experience b [...]

Match Score: 79.12

Destination
America's Sovereign AI supercomputers will use AMD chips

AMD is working with the US Department of Energy to build sovereign AI supercomputers at Oak Ridge National Laboratory, the agency's famous research and development center. NVIDIA describes sovere [...]

Match Score: 70.33

Destination
NVIDIA is going to make AI chips and supercomputers in the US

In a decision almost certainly informed by the recent tariff chaos, NVIDIA is going to start making some of its AI chips and supercomputers in the US. The company announced that it's building and [...]

Match Score: 67.29

venturebeat
How Google’s TPUs are reshaping the economics of large-scale AI

For more than a decade, Nvidia’s GPUs have underpinned nearly every major advance in modern AI. That position is now being challenged. Frontier models such as Google’s Gemini 3 and Anthropic’s [...]

Match Score: 61.77

venturebeat
What enterprises should know about The White House's new AI 'Manhattan Project' the Genesis Mission

President Donald Trump’s new “Genesis Mission” unveiled Monday is billed as a generational leap in how the United States does science akin to the Manhattan Project that created the atomic bomb d [...]

Match Score: 50.73

Destination
The best headphones for running in 2025

Whether you’re already an avid runner or hope to be one as you start a new training regimen, you’ll get more out of your exercise routine if you have some good music to accompany you. Getting into [...]

Match Score: 45.66

venturebeat
This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks

In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better answers. We’ve seen "Chain of Tho [...]

Match Score: 44.43

Destination
Meta’s latest model highlights the challenge AI faces in long-term planning and causal reasoning

Meta has introduced V-JEPA 2, a 1.2-billion-parameter video model designed to connect intuitive physical understanding with robot control. The system achieves state-of-the-art results on motion recogn [...]

Match Score: 43.19

venturebeat
Inference is splitting in two — Nvidia’s $20B Groq bet explains its next act

Nvidia’s $20 billion strategic licensing deal with Groq represents one of the first clear moves in a four-front fight over the future AI stack. 2026 is when that fight becomes obvious to enterprise [...]

Match Score: 40.27