What the Geospatial Industry is Learning About HPC, AI, and Cloud
When it comes to traditional HPC, it has taken a bit longer for cloud and AI to catch on. …
When it comes to traditional HPC, it has taken a bit longer for cloud and AI to catch on. …
The long-held skepticism around wafer-scale architectures is deep and goes back decades. …
The Department of Energy has formed a partnership between Lawrence Livermore National Laboratory (LLNL) and Los Alamos National Laboratory (LANL) and AI chip startup, SambaNova to deliver systems with acceleration for AI and HPC workloads. …
For those who have followed supercomputing over several years, the Bull systems brand is familiar, especially in Europe. …
The move to integrating AI into current operations and finding its role in entirely new applications at Royal Bank of Canada (RBC) is similar to what we’re seeing among other large-scale enterprises. …
AI is too hard for most enterprises to adopt, just like HPC was and continues to be. …
Back in October 2019 when the world was normal and it felt perfectly reasonable to look forward to a slew of AI events that would showcase the newest developments from the chip startup world, we talked about Groq and its inference-oriented chip. …
Few of the AI hardware startups that have made it through the first round of reality (roughly 2016 until the present) have managed to navigate the choppy waters without shifting course, sometimes wildly. …
If you read The Next Platform, you probably love hardware and there are probably two reasons for that. …
Any workload that has a complex dataflow with intricate data needs and a requirement for low latency should probably at least consider an FPGA for the job. …
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