by Karl Freund | Dec 28, 2020 | DataCenter AI, Research Paper
Qualcomm announced the first shipments of the Cloud AI 100 family of products, thus entering the data center, cloud edge, edge appliance and 5G infrastructure markets for accelerated artificial intelligence (AI) processing. Qualcomm has demonstrated its AI and...
by Karl Freund | Dec 14, 2020 | Research Paper
While the global semiconductor industry has matured on many fronts, producing faster, cheaper and more power-efficient devices in vast quantities, lifecycle management for silicon remains lacking. Until now, there has been little thought given to the need for and...
by Karl Freund | Oct 22, 2020 | Research Paper
The explosive growth of AI processing in data center and edge environments has induced AI startups and established firms alike to develop silicon to handle the massive processing demands of neural networks. Inference processing, in particular, is an emerging...
by Karl Freund | Oct 13, 2020 | Research Paper
While NVIDIA dominates the market for AI-specific silicon accelerating the training of neural networks, many AI startups are developing silicon to accelerate inference processing, both for data center and edge applications. CPUs have typically been the choice for...
by Karl Freund | Jul 15, 2020 | Research Paper
Graphcore, the U.K.-based startup that launched the Intelligence Processing Unit (IPU) for AI acceleration in 2018, has introduced the IPU-Machine. This second-generation platform has greater processing power, more memory and built-in scalability for handling...
by Karl Freund | May 26, 2020 | Research Paper
Software for new processor designs is critical to enabling application deployment and optimizing performance. UK-based startup Graphcore, a provider of silicon for application acceleration, places significant emphasis on software, dedicating roughly half its...
