More accurately... I'm long on a viable alternative to the current monopoly. We have two OS's for phones (android and ios), there is no reason why we shouldn't have the same for all AI hardware and software. The only one even close, is AMD.
Checked out this company about a year ago and they only offered small models. Now I see they have GLM-fp8/Kimi and DeepSeek V4 Pro. Since workloads are predominantly cached input, I'm surprised to see no separate price for cached input vs uncached.
I hope the prices will drop significantly; with these prices you'll end up with thousands in monthly costs quickly.
Hopefully more hardware companies will be on the market in the coming years. If the Chinese eventually start competing with the current memory makers, maybe that will help.
Hi! Co-founder of Doubleword here - we've hugely increased the number of models that we offer (partly thanks to work that we've done on hotswapping https://blog.doubleword.ai/fast-sglang-starts.
We're kind of known for our low prices - our prices (our main usage is for our high throughput API - the async tier) is significantly below average openrouter prices - but cached prices is coming soon which will lower them even more :)
It’s just weird Deepseek released a model that was not compatible with any of the usual engines. Without derez’s new project just to support DSv4, how long until it’s actually viable in llama :(
I train on AMD MI250X and managed to get Gemma 4 31B to work - but it took a lot of work on the software side.
This is very interesting, planning to write about it?
Also the vllm patch accompanying the blogpost: https://github.com/doublewordai/vllm-amd-blog-doubleword
We at doubleword are bullish for AMD for low-interactivity inference - it does just take a bigger lift on the software side...
Are you long AMD?
Interesting that you ask that as AMD hits another ATH.
hello,sir, I want bulk order Asrock BC-250, is it still available ?
lol find the discord!
yes,sir, any possibility to find 1000pcs or more
They are all over ebay. https://www.ebay.com/sch/i.html?_nkw=bc-250
I'm super curious what you would use them for.
now many guys want to buy this, I am reseller AMD BC-250,it is popular now
thank you sir, actually it is not easy to find on ebay, because they are small seller, hard to find hundred, also ebay price a bit high for me
Then you are definitely long on AMD.
More accurately... I'm long on a viable alternative to the current monopoly. We have two OS's for phones (android and ios), there is no reason why we shouldn't have the same for all AI hardware and software. The only one even close, is AMD.
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Checked out this company about a year ago and they only offered small models. Now I see they have GLM-fp8/Kimi and DeepSeek V4 Pro. Since workloads are predominantly cached input, I'm surprised to see no separate price for cached input vs uncached. I hope the prices will drop significantly; with these prices you'll end up with thousands in monthly costs quickly. Hopefully more hardware companies will be on the market in the coming years. If the Chinese eventually start competing with the current memory makers, maybe that will help.
Hi! Co-founder of Doubleword here - we've hugely increased the number of models that we offer (partly thanks to work that we've done on hotswapping https://blog.doubleword.ai/fast-sglang-starts.
We're kind of known for our low prices - our prices (our main usage is for our high throughput API - the async tier) is significantly below average openrouter prices - but cached prices is coming soon which will lower them even more :)
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Nice work! Would DeepSeek V4 Pro on 8xMI300X work with these patches?
we think so - but haven't tested it ourselves
Nice work and thanks for being a customer.
(CEO Hot Aisle)
I wish you guys could partner with Modular to get Mojo inference working on your hardware, e.g. https://www.modular.com/models/deepseek-v4-pro
Not sure I understand. If they support MI300x, their self-hosted will run on our hardware.
It’s just weird Deepseek released a model that was not compatible with any of the usual engines. Without derez’s new project just to support DSv4, how long until it’s actually viable in llama :(
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