Dell exec reveals Nvidia has a 1,000-watt GPU in the works
theregister.com
Dell exec reveals Nvidia has a 1,000-watt GPU in the works
1–10 of 59 posts
Re: Dell exec reveals Nvidia has a 1,000-watt GPU in the works
#2Considering a conservative 4GPU system adds a 1.2KW additional overhead, packing these together densely in racks is a huge ordeal.
Re: Dell exec reveals Nvidia has a 1,000-watt GPU in the works
#3Re: Dell exec reveals Nvidia has a 1,000-watt GPU in the works
#4Looks like a solution in search of a problem.
Instead they throw in more GPUs. So B100 will fit right into the bill.
Re: Dell exec reveals Nvidia has a 1,000-watt GPU in the works
#5Re: Dell exec reveals Nvidia has a 1,000-watt GPU in the works
#6Nice, we'll be able to consume the Earth's resources even faster. Congrats everyone!
Re: Dell exec reveals Nvidia has a 1,000-watt GPU in the works
#7Nice, we'll be able to consume the Earth's resources even faster. Congrats everyone!
Space exploration and mining will be a step change in accessible resources. Why not enjoy the non-scarcity!
Re: Dell exec reveals Nvidia has a 1,000-watt GPU in the works
#8Looks like a solution in search of a problem.
AI workloads are currently going through their "developers are expensive, hardware is cheap(ish)" era. Nobody is trying very hard to fit models to GPUs, and optimize utilization and whatnot. Instead they throw in more GPUs. So B100 will fit right into the bill.
Re: Dell exec reveals Nvidia has a 1,000-watt GPU in the works
#9Earlier quoted context omitted.
AI workloads are currently going through their "developers are expensive, hardware is cheap(ish)" era. Nobody is trying very hard to fit models to GPUs, and optimize utilization and whatnot. Instead they throw in more GPUs. So B100 will fit right into the bill.
There's a lot of work being put in to make LLMs run on consumer hardware, albeit it's being done by the open source community and not the companies themselves.
Re: Dell exec reveals Nvidia has a 1,000-watt GPU in the works
#10Earlier quoted context omitted.
AI workloads are currently going through their "developers are expensive, hardware is cheap(ish)" era. Nobody is trying very hard to fit models to GPUs, and optimize utilization and whatnot. Instead they throw in more GPUs. So B100 will fit right into the bill.
There's a lot of work being put in to make LLMs run on consumer hardware, albeit it's being done by the open source community and not the companies themselves.