Jim Keller’s Tenstorrent Wants To Compete With NVIDIA’s AI GPUs Using RISC-V Based AI CPUs
Tenstorrent's CEO, Jim Keller, has revealed an updated RISC-V product roadmap and how he plans to tackle NVIDIA's AI dominance using CPUs and not GPUs.
During a recent conference in Tokyo Japan as part of the "RISC-V Days Tokyo 2023 Summer", the well-known and legendary Jim Keller revealed his plans to push the AI industry forward using the RISC-V architecture and utilizing chiplet designs. Jim pointed out that while NVIDIA and AMD have been focusing on GPUs for AI advancements, he believes that CPUs designed specifically to run AI workloads can achieve higher efficiency and do a much better job than traditional GPUs.
"NVIDIA's GPU responded to the timing when the trend of AI greatly increased. However, GPUs are not optimized for AI processing. We have proven that our AI accelerator exceeds in efficiency. Also, one of the issues with AI processing by GPU is that access to CPU and memory becomes a bottleneck.The generation of Blackhole migration, which integrates RISC-V as a CPU, eliminates these bottlenecks. As a result, more power-saving and low-cost AI computers can be realized.”
Jim Keller (Machine Translated via ITMedia)
Raja Koduri, the chief architect behind AMD's RTG and Intel's EVP & head of GPU division also left to join the Board of Directors at Tenstorrent.
The rationale put behind this is the fact that GPU prices and power consumption has been going up and that's not sustainable for the AI industry itself. A CPU can integrate some of the technologies used by GPUs and RISC-V can also bypass the expensive licenses that are often associated with the use of Intel, AMD, and ARM chips. It is also revealed that while CUDA remains to be dominant in the AI and HPC field, the BUDA compiler can also be used to run some of
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