Groq’s $6 Billion Valuation Says More About Nvidia Than Groq Itself
If you're building inference chips that still use external memory, you're basically copying GPUs and you won’t win by copying Nvidia’s playbook.
Deployed's enterprise AI reporting on Chips.
If you're building inference chips that still use external memory, you're basically copying GPUs and you won’t win by copying Nvidia’s playbook.
Success in wafer-scale computing or any transformative technology demands not just vision and experience, but also the humility to acknowledge when the best path forward wasn’t the one you initially chose.
Running Ampere independently will allow them to keep licensing its fundamental designs while having flexibility to work on SoftBank's larger AI goals.
People are realizing they need more competition in AI compute.
It brings data directly to the point of compute while supporting industry-standard architectures.
We’re solving problems that go to the heart of computing inefficiencies.
Whether Trainium marks the beginning of a market shake-up or just another chapter in Nvidia’s story remains to be seen.
By running the largest models at instant speed, Cerebras enables real-time responses from the world’s leading open frontier model.
Since light defines the speed limit in our universe, it’s the fastest thing out there.
Current AI infrastructure leaves GPUs underutilized, waiting for data to flow through bottlenecked pipelines. Our chip eliminates these bottlenecks, making GPUs and other accelerators work at their true potential.