3 ms·
That's the joke. It still is. ROCm is nowhere near production-ready and if MS thinks devs will want to waste their time on random errors then good luck with tha
by treprinum 3y ago
That's the joke. It still is. ROCm is nowhere near production-ready and if MS thinks devs will want to waste their time on random errors then good luck with that business. AMD cards are also super expensive so not sure what their competitiveness is supposed to be?
- epolanski 3y agoMicrosoft can develop their own software. We are talking a company that places billions in orders to Nvidia, they can afford to develop the tools and obviously AMD will throw millions and millions in support to court such a customer.
- latchkey 3y agoExpensive is not entirely relevant. They are available (for now). https://twitter.com/sama/status/1724626002595471740 https://twitter.com/sama/status/1724626002595471740 ROCm has also made a lot of advances in recent times. https://www.databricks.com/blog/training-llms-scale-amd-mi250-gpus https://www.databricks.com/blog/training-llms-scale-amd-mi25...
- kristianp 3y agoThread about that tweet (or should I say xeet) from SamA: https://news.ycombinator.com/item?id=38274427 https://news.ycombinator.com/item?id=38274427
- brucethemoose2 3y agoThe MI300 is a massive GPU compared to even the new H200. It was designed as a combined CPU/GPU for supercomputers, with shared memory. But then the AI craze hit, so AMD spun a variant into a pure GPU AI accelerator real quick, which they could actually pull off because the GPU silicon is modular. ...So thats why it cost a fortune. Its really a jury rigged HPC product.
- pclmulqdq 3y agoThe H100 is, to some degree, also a jury rigged HPC product. The H200 is starting to reach a more "AI" balance between compute and memory bandwidth.
- treprinum 3y agoI can see MI300 being used for CFD, nuclear physics simulation, cloud GPU virtualization etc. but for AI it's simply not there regardless of AMD's and its affiliated startups' marketing.