Viewing profile — muxr
muxr
HN member- Joined
- Wed, Dec 14, 2016, 5:28 AM UTC
- HN karma
- 27
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- 27 items
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About muxr
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Recent public activity
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Comment #40972033
I don't think AMD needs to support 5+ year old GPUs personally. And all the recent generations are already practically supported. AMD only claims support for a select few GPUs, but…
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Comment #40700767
You can paper launch as much as you want but Blackwell isn't shipping until Q4. Also Blackwell's lead will be short lived, because mi350x is coming out next year, and it will have …
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Comment #40700752
None of those things matter, if all you're looking to do is run your existing workloads on mi300x in the cloud. You get more bang per buck by going AMD.
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Comment #40700743
ROCm has improved a lot. And you can rent mi300x in the cloud now. So if you have a program that runs on Nvidia GPUs, it takes no time to test it on a cloud mi300x. If it works you…
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Comment #40700705
I don't understand why they should use TensorRT. vLLM is much more popular and it was actually written for Nvidia. It also supports AMD hardware, so it's the appropriate tool to co…
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Comment #40700701
AMD doesn't have a higher PE ratio. You should use nonGAAP numbers because the GAAP numbers include Xilinx Googwill Amortization which skew the PE. AMD's PE is ~55. Nvidia's PE is …
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Comment #38653863
People used the same argument when saying AMD would never beat Intel in CPUs. Intel has a lot of software engineers. Also these days AMD has a good number of software folks, thanks…
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Comment #38653836
For us hobbyists used 3090 or new 7900xtx seem to be the way. But even then you still need to build a machine with 3 or 4 of these GPUs to get enough VRAM to play with big models.
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Comment #38653473
zendnn is for CPUs. Pytorch ROCm version doesn't require you to change a single line of code. So all the same semantics like `device = "cuda"` work the same when using AMD GPUs.
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Comment #37423439
libraries if they are popular in general are expected to work with a wide variety of code. Supporting code smell is a feature.
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Comment #34440270
The author also says that AMD doesn't have Tensor cores. No shit, Tensor core is an Nvidia trademark. AMD has matrix multiplication units in their CDNA GPUs.
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Comment #34440257
As a hobbyist you should look into spot instances in cloud. Way cheaper and faster than having to invest in your own hardware.
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Comment #34440238
AMD has been improving a lot. Also you're comparing 3090ti to a 2 generation older RVII how is that a fair comparison?
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Comment #34440197
Yes you can. And AMD's Linux driver is much better.
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Comment #34440130
AMD's driver is much better on Linux than Nvidia's. And ROCm HIP stuff isn't obscure. It's what's needed to bridge Nvidia's proprietary vendor lock ins. Nvidia is literally cancer …
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Comment #31558067
There is also an article about how they did submit a score from one of these Chinese "exaflop" systems, for a different benchmark and it turns out it can only achieve the claimed p…
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Comment #20020126
Epyc 2 (Rome) will have up to 64 cores.
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Comment #20020119
> I guess AM4 also means no real improvements on the PCIe lane count The new Ryzen 3000 CPUs support PCIe Gen4.. so while the number of lanes will remain the same, their bandwidth …
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Comment #19865580
But the GC has to do it in a thread safe way which involves locking/synchronization. Otherwise you get nasty race conditions.
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Comment #17252945
It's only a space heater when it's being used. These CPUs consume very little power when idle. So if you have a task that can leverage 32 cores.. that task should in theory complet…
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Comment #17252936
Particularly in case of Threadripper, they use cherry picked binned cores so they can actually hit even [slightly] higher clocks than their mainstream cousins. We don't know the Th…
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Comment #17252917
It's not happening because it's hard to do. Extracting instruction level parallelism is difficult(which is how CPUs gain IPC) and then also the cores have to be wider with exponent…
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Comment #15640216
Let's not forget Raven Ridge (Ryzen Mobile).. It targets lower power and lower performance, but it's still 3x faster than Intel's current solutions when it comes to graphics.
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Comment #15639220
It's important to note their ARM CPUs aren't anything to write home about. Mostly a slightly modified version of ARM's own reference designs.
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Comment #15639189
Intel has paid Nvidia billions in the past to use Nvidia's tech at the expense of AMD.. https://newsroom.intel.com/news-releases/intel-announces-new... Since both Nvidia and Intel …