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トップ新着トレンドコメント過去質問紹介求人

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投稿

Speculative pre-positioning: off-path decode for stateful inference sessions

arxiv.org
1 ポイント·投稿者 logotype·8 日前·1 コメント

Stateful Inference for Low-Latency Multi-Agent Tool Calling

arxiv.org
2 ポイント·投稿者 logotype·先月·1 コメント

Attention Once Is All You Need: Stateful Transformers

arxiv.org
3 ポイント·投稿者 logotype·2 か月前·4 コメント

[untitled]

1 ポイント·投稿者 logotype·3 か月前·0 コメント

[untitled]

1 ポイント·投稿者 logotype·3 か月前·0 コメント

New inference engine faster than vLLM, SGLang, TRT-LLM

layerscale.ai
2 ポイント·投稿者 logotype·5 か月前·3 コメント

[untitled]

1 ポイント·投稿者 logotype·5 か月前·0 コメント

[untitled]

1 ポイント·投稿者 logotype·6 か月前·0 コメント

Ask HN: Need ArXiv endorsement for LLM inference paper

1 ポイント·投稿者 logotype·6 か月前·1 コメント

Ask HN: How to get funding for your product?

3 ポイント·投稿者 logotype·8 か月前·2 コメント

Nobody Talks about Failure

3 ポイント·投稿者 logotype·9 か月前·0 コメント

コメント

logotype
·8 日前·議論
With native support for sessions in an inference engine we can make use of idle GPUs... doing work!
logotype
·先月·議論
I bought a server with 768GB RAM a couple of years ago, for cheap. Today just the RAM itself is worth more than I paid for the entire server. DDR4... Same thing with SSD, two years ago you could buy 4TB SSDs for like 250 USD, and today its more than $700. Madness!
logotype
·先月·議論
Fastest tool calling on the planet!
logotype
·先月·議論
Pin-drop sweepstakes
logotype
·2 か月前·議論
Attended Dreamhack in the late 90s. Fun times! I was always AMAZED by the demoscene.
logotype
·2 か月前·議論
Tumbleweed rolls across the timeline
logotype
·2 か月前·議論
The problem is that 95% of the products on Amazon are just chinese garbage. Most people do not research the products they are buying, they are buying because of the convenience. The "default" quality of products on Amazon are utter complete overpriced shit. Even if you have done your research and ACTIVELY look for a specific locally manufactured product on Amazon you're flooded with sponsored products with unpronounceable names. There's a whole hidden industry about Chinese companies have a streamlined process to create a shell company, apply for various trademarks to skirt rules even if their product is obviously copied. It's horrible if you look into it. I try really hard to only support companies that manufactures products in the US/EU/UK. You should do, too! It's good for the economy.
logotype
·2 か月前·議論
crickets
logotype
·2 か月前·議論
reads like Salesforce to me, ugh! Enterprises are paying so much to blatantly vendor-lock in themselves using hundreds of "Salesforce engineers". It's baffling to me.
logotype
·2 か月前·議論
Happy to answer any questions you might have.
logotype
·2 か月前·議論
Deeply nostalgic! Thanks for sharing.
logotype
·3 か月前·議論
It’s a cost I’m willing to pay. You’re paying for a fully domestic supply chain. The cotton is grown in the U.S., then cleaned, spun into yarn, made into fabric, dyed, and finally cut and sewn in Los Angeles. Every step happens in the United States, supporting local farming, manufacturing, and labor.
logotype
·3 か月前·議論
I meant American Giant jeans https://www.american-giant.com/collections/mens-bottoms :)
logotype
·3 か月前·議論
You can notice the quality difference when things are actually built to last. I work a lot with electronics and need good work-holding tools. I didn't use to focus on that and just bought cheap crap. I then heard of PanaVise (made in Reno, NV) and got their tools, absolutely SOLID. Over-built, heavy and built to LAST!
logotype
·3 か月前·議論
Same here.. i bulk buy tons of AG (American Giant) t-shirts (Premium Slub Crew Tee is awesome) and tons of their jeans too.
logotype
·3 か月前·議論
Support brands with values and local manufacturing. For example: American Giant, Origin, Crye Precision, Randolph Engineering, American Optical, and many more.
logotype
·3 か月前·議論
There’s a lot of wasted compute with stateless inference. We set out to solve that with a new computational model for transformers, and only process the delta between requests. That’s how we can achieve crazy low latency tool calling with LayerScale. Check it out https://layerscale.ai and technical whitepapers out next month!
logotype
·3 か月前·議論
Try it out and see how fast inference can be for agentic workflows. Works on CUDA and ROCm. Feedback appreciated!
logotype
·4 か月前·議論
I can access it from the UK
logotype
·4 か月前·議論
Just a OFCOM basic business radio license (UK)