There have been rumors that either Arm Ltd or parent company and Japanese conglomerate SoftBank would buy British AI chip and system upstart – it is no longer a startup if it is eight years old – Graphcore for quite some time. …
The years-long run-up to the first exascale supercomputers was really a story about the ongoing competition between the United States and China. …
In March, Nvidia introduced its GH100, the first GPU based on the new “Hopper” architecture, which is aimed at both HPC and AI workloads, and importantly for the latter, supports an eight-bit FP8 floating point processing format. …
For the last few years, Graphcore has primarily been focused on slinging its IPU chips for training and inference systems of varying sizes, but that is changing now as the six-year-old British chip designer is joining the conversation about the convergence of AI and high-performance computing. …
The 3D stacking of chips has been the subject of much speculation and innovation in the past decade, and we will be the first to admit that we have been mostly thinking about this as a way to cram more capacity into a given compute engine while at the same time getting components closer together along the Z axis and not just working in 2D anymore down on the X and Y axes. …
While involving AI/ML in the complex process of insurance claims now might be piecemeal, the future is bright for insurers to speed time to claim resolution by using image-based data and machine learning models to understand the scope of damage to vehicles or eventually, entire geographic regions. …
When it comes to a silicon startup bringing a product to market in a tough competitive landscape, nothing is easy. …
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. …
…With performance comparable to the Nvidia V100 GPU, a common accelerator in HPC but better energy consumption numbers and memory bandwidth potential, Graphcore can turn heads in supercomputing.
Let’s leave aside all the questions about the long-term viability of AI ASICs and appliances and focus instead on the beauty of a good architecture. …
All Content Copyright The Next Platform