Cerebras (NASDAQ: CBRS), a producer of AI chips, went public at $185 per share on May 14. Its stock opened at $350, but it now trades at about $205. That's still 11% above its IPO price, but investors who chased its post-IPO gains are now underwater. Let's see why Cerebras' stock fizzled out -- and if it's worth buying today.
Missed Nvidia in 2009? This Rare Signal Is Flashing Again. In 2009, a "Double Down" signal flashed for a little-known chipmaker called Nvidia. For the first time in years, that same "Total Conviction" signal is flashing for a company 1/100th the size of Nvidia. Continue »
Cerebras doesn't produce small GPUs like Nvidia (NASDAQ: NVDA). Instead, it builds massive AI processors on a single silicon wafer without cutting them into individual chips. Cerebras chips are as big as dinner plates, while Nvidia's GPUs are the size of postage stamps.
Cerebras claims its bigger chips bypass the networking bottlenecks, data latency, and power constraints ******* ociated with connecting traditional GPU clusters. They also outperformed traditional GPU clusters in inference tasks (when applications accessed trained data). It generates its revenue by selling its wafer-scale processors and CS-3 systems, as well as providing customers with cloud-based access to its own wafers to run inference tasks.
Cerebras recently secured a multi-year $20 billion deal with OpenAI to deploy 750 megawatts of its wafer-scale inference systems. It's also integrating its CS-3 systems into Amazon (NASDAQ: AMZN) Web Services (AWS), the world's largest cloud infrastructure platform.
Missed Nvidia in 2009? This Rare Signal Is Flashing Again. In 2009, a "Double Down" signal flashed for a little-known chipmaker called Nvidia. For the first time in years, that same "Total Conviction" signal is flashing for a company 1/100th the size of Nvidia. Continue »
Cerebras doesn't produce small GPUs like Nvidia (NASDAQ: NVDA). Instead, it builds massive AI processors on a single silicon wafer without cutting them into individual chips. Cerebras chips are as big as dinner plates, while Nvidia's GPUs are the size of postage stamps.
Cerebras claims its bigger chips bypass the networking bottlenecks, data latency, and power constraints ******* ociated with connecting traditional GPU clusters. They also outperformed traditional GPU clusters in inference tasks (when applications accessed trained data). It generates its revenue by selling its wafer-scale processors and CS-3 systems, as well as providing customers with cloud-based access to its own wafers to run inference tasks.
Cerebras recently secured a multi-year $20 billion deal with OpenAI to deploy 750 megawatts of its wafer-scale inference systems. It's also integrating its CS-3 systems into Amazon (NASDAQ: AMZN) Web Services (AWS), the world's largest cloud infrastructure platform.
4 months ago
