With $1 Billion in Hand, What’s Next for SambaNova?
We knew the day would come when an AI chip startup hit the $1 billion funding mark and so it has. …
We knew the day would come when an AI chip startup hit the $1 billion funding mark and so it has. …
The San Diego Supercomputer Center (SDSC) will be preparing to put nearly ten racks of Habana AI hardware on the floor, marking the first time we have seen the AI chip startup (acquired by Intel in 2019) in force at any major supercomputing site. …
Over the next year, we should get a good sense of how the Cerebras CS-1 system performs for dual HPC and AI workloads between installations at Argonne and Lawrence Livermore labs, EPCC, and the Pittsburgh Supercomputing Center (PSC). …
SPONSORED Mention GPUs these days, and you will naturally think about how they can accelerate the most challenging AI and machine learning workloads as well as how they are used in gaming platforms. …
For neural networks to expand into more areas in traditional supercomputing, especially in areas where image data is key, high image fidelity and accuracy are critical. …
While securing the high-end particle physics market segment is not likely to push any of the AI/ML ASICS into competition with GPUs anytime soon, the chipmakers that can prove their value on some of the most demanding, real-time AI workloads can capture some serious mindshare. …
Every chipmaker has an emerging silicon photonics story but as happens only rarely, it could be a small startup that will push them to productize faster. …
The concepts underpinning vector databases are decades old, but it is only relatively recently that these are the underlying “secret weapon” of the largest webscale companies that provide services like search and near real-time recommendations. …
SPONSORED SambaNova Systems is a technology startup founded in 2017 by a group of far-sighted engineers and data scientists who saw that the current approaches to AI and machine learning were beginning to run out of steam, and that an entire new architecture would be necessary in order to make AI accessible for everyone as well as deliver the scale, performance, accuracy and ease of use needed for future applications. …
There is a new challenge workload on the horizon, one where few can afford to compete. …
All Content Copyright The Next Platform