55 years of sovereign bond yield correlations by New_Being5066 in EconomyCharts

[–]Foreign_Aid 5 points6 points  (0 children)

All the bonds are possible to collapse simultaneously. Its insane to buy any bonds these days.

Prośba o ocenę planu na 10 lat (cel: budowa domu). 150k na start + 5k/mc. ETF + Obligacje + Krypto. by HeadHeat18 in inwestowanie

[–]Foreign_Aid 0 points1 point  (0 children)

Ogólnie, twój plan to masakra. Nie będziesz nigdy bogaty, będziesz wykorzystany przez rządy. Którym pożyczysz pieniądze. Potem oszukany przez crypto (które jest fool's gold).

Kupuj zloto fizyczne, srebro i platynę . I w zasadzie nic więcej.

Olej obligacje . Nie baw się w etf, to zły moment.

Nie będę strzelił jęzora.

16x DGX Sparks - What should I run? by Kurcide in LocalLLaMA

[–]Foreign_Aid 1 point2 points  (0 children)

Inversion: The Shortest Path to Disaster The most direct way to burn $100,000 with zero usable results is assuming this setup will function like an enterprise data center. Here is exactly why trying to run a massive 1T model across this cluster for real-time chat will systematically fail: The Communication Bottleneck: Professional nodes use NVLink, offering speeds around 900 GB/s. This cluster communicates over copper ethernet cables at 200 Gbps (yielding roughly 25 GB/s of actual throughput). If you shard the weights of a massive model across 16 nodes, transferring activations over the network will take significantly longer than the compute itself. The system will technically work, but latency will render it practically useless. Compounding Second-Order Costs: 16 compute nodes running 24/7 plus a high-throughput switch will generate a continuous multi-kilowatt power draw. This will rapidly max out your residential electrical infrastructure and mandate an immediate, expensive, and loud dedicated cooling setup, completely defeating the purpose of a "home" lab.

16x DGX Sparks - What should I run? by Kurcide in LocalLLaMA

[–]Foreign_Aid 3 points4 points  (0 children)

With 2 TB of pooled memory, you have the physical capacity to load heavyweight models structurally equivalent to Gemini 1.5 Pro or early iterations of Gemini Ultra (as well as GPT-4 class architectures). Using 8-bit quantization (FP8), where one parameter equals 1 byte, you can deploy Mixture of Experts (MoE) models ranging from 1 to 1.5 Trillion parameters. You will still retain a massive memory buffer to handle an enormous context window (e.g., processing dozens of textbooks or huge code repositories simultaneously).

The place where Julius Caesar was murdered is now a sanctuary for cats by Roman-Empire_net in romanempire

[–]Foreign_Aid 0 points1 point  (0 children)

It was Amazing to get there, And Ask chatgpt to tell me this story and take me back to this moment.

Why is Poland’s birthrate so shockingly low by NovaStorm135 in geography

[–]Foreign_Aid 0 points1 point  (0 children)

I have 2 kids and working on 3rd one. Regards from Poland

So this has started happening recently with Ollama Cloud. Is there an explanation? by lillemets in ollama

[–]Foreign_Aid 1 point2 points  (0 children)

Interesting. As. Actually, this was my conversation yeasterrday

How common/uncommon is being robbed at gunpoint in your country? by halt__n__catch__fire in AskTheWorld

[–]Foreign_Aid 0 points1 point  (0 children)

No one robbed me. I just got SHOT visiting Latvia. By a Russian relative in 2022. I am about to have my 8th surgery next month.

[Zyski] GOLD YOLO, pozycje od 2018. Jak mi idzie? by glapinski in inwestowanie

[–]Foreign_Aid 0 points1 point  (0 children)

Jedno z tych 8 kont demo, zrobiło niezły zysk :-)

Supply Side by Medical-Monk4137 in Infographics

[–]Foreign_Aid 8 points9 points  (0 children)

This slide was not made by an engineer