Arm China has gone completely rogue, operating as an independent company with their own IP and R&D. This is the semiconductor heist of the century. There are many questions swirling about what this means for a potential Nvidia takeover or IPO, but it is clear that SoftBank’s short sighted profit driven behavior has caused a massive conundrum.Read more
Tesla’s Dojo chip and supercomputer have mouth salivating specifications and capabilities, but cost, custom interconnects, memory constraints, lack of software, and the fact that this chip is 2022 or beyond is something we have to keep in mind. SemiAnalysis investigates these while also exploring the partnerships with traditional semiconductor firms.Read more
Tesla has flipped the hardware world on its head by creating a chip with GPU levels of compute, more than the highest end networking chips IO, and high levels of flexibility. They utilize a integrated fan out system on wafer that achieves better scale up and scale out performance than Nvidia, Graphcore, Cerebras, Groq, Tenstorrent, SambaNova, or any other AI training startup.Read more
Tesla is known for having their own silicon strategy for their automobiles and was rumored to be working on a AI training chip for their own datacenter use cases as well. An image of this chip was posted and it is quite bizarre. It looks like it could be the first TSMC InFO_SoW product.Read more
Graphcore, a $2.8B AI startup, looks like a failure! Their hardware and software simply don’t measure up.
They are require twice as much 7nm silicon to achieve slower results with worse pricing, TCO, and software support.
This 46,225mm^2 chip crushes AI workloads, but it’s also creating breakthroughs in other #HPC fields such as computational fluid dynamics!
Each of the 850,000 cores can run multiple threads and complex mathematical operations!