HN user
The products, animations and slides are doing some heavy lifting. Most jokes don't land and his presentation is somewhat confusing at times (e.g. star trek intro token count)
Should be more like 756 GWh
"To run AI applications (test machine): RyzenAI processor, example: Phoenix/Strix"
Is there any strix besides the unreleased Strix Point and Strix Halo?
My personal experience: Fedora 38- just needed to compile gcc-12 (took very long), Windows- Installer failed
This clearly shows that GNU/Linux must be superior
Mistral 7B (mistral-7b-instruct-v0.2.Q6_K.gguf): Let's break down this problem step by step. First, we know that Julia has three brothers. Then it is stated that each of her brothers has two sisters. This means there are two sisters for each brother. Since Julia is one of the sisters for her brothers, she also counts as one of their sisters. However, when counting the number of sisters for herself, she should not be included in the count. Therefore, Julia has three brothers and two sisters (excluding herself), so she has a total of five sisters.
The whole FSD thing is so misleading that it should make buyers eligible to a full refund. While the Tesla website only promises to deliver the feature at some point in the future, public comments from musk and others made it look like this point will be end of year
Yeah, even more exciting than the small PaLM2 from Google IO
A full linux environment (with external monitor support) sounds awesome. I hope that enabled KVM becomes standard
Would graphics acceleration work properly?
MI300 looks very promising, but it doesn't instantly solve the chicken-egg problem. Nvidia has been placing eggs in the form of "cuda on gaming gpus" in the nests of researchers and students for quite some time.
"Nobody ever got fired for buying nvidia" might be the situation in the future if AMD doesn't manage to get a more popular choice among developers
Totally agree on that, securing a piece of the AI market will be a huge challenge. No one will buy AMD for AI when the software isn't compatible and no one will buy AMD for AI to get wonky software for the same price as NVIDIA.
Affordable cards with lots of memory and good software support is the only solution to maybe get into the market. Double the memory for some gaming cards (just like NVIDIA's 3060 12GB and the 4060 TI 16GB)
Additionally data center products with enormous vram amounts and very fast interconnects will be important
AMD can't even take orders that NVIDIA can't keep up with because they are producing on very similar nodes. NVIDIA can easily outspend AMD for TSMC production capacity