Well thank you I will test that
SimpleTuner is dependant on Microsoft's DeepSpeed which doesnt work on Windows :)
So you probably better off using Ai-ToolKit https://github.com/ostris/ai-toolkit
Readit NewsIt's funny how eBay still did better stewardship of Skype than Microsoft.
Some error corrections: ebay bought skype in 2005 for 2.6B (1 million concurrent user), and Microsoft bought them in 2011 for 8.5B (22 million concurrent users) with 74 million concurrent users reported in 2013 falling to apparently 30 million now...
https://www.statista.com/chart/1417/skype-usage/
What is your criteria for stewardship ?
dagaci commented on Amazon to display tariff costs for consumers punchbowl.news/article/te... · Posted by u/donohoe
Presumably they can determine this for items directly imported, but for all other cases (such as a made-in-the-USA product that is built using made-in-China tools, or from made-in-China components), surely the cost impact on the final product could be extremely complex to work out, if they even have access to that level of supply chain detail?
Surely they will have receipts for the tariffs paid…
dagaci commented on Whistleblower: DOGE Siphoned NLRB Case Data krebsonsecurity.com/2025/... · Posted by u/whalesalad
This sounds very weird.
If you're blocking non-US IPs, you trpically block at the IP layer, before a login attempt can even begin.
Why allow someone to even log in at all?
Remember these are elons are script kiddie hackers, it only occurred to disable the outer firewall, azure ad will independently geoip block all by itself
dagaci commented on Whistleblower: DOGE Siphoned NLRB Case Data krebsonsecurity.com/2025/... · Posted by u/whalesalad
dagaci commented on Run DeepSeek R1 Dynamic 1.58-bit unsloth.ai/blog/deepseekr... · Posted by u/noch
It buys you approximately two days (with reservation discount) of a single p5.48xlarge instance, which has 2TB of RAM, and 640GB of VRAM in 8x H100 cards. In fact that is the pricing example they use: https://aws.amazon.com/ec2/capacityblocks/pricing/
MI300X (RunPod) 192gb ram
Hourly Rate: $2.49/hr.
Break-even Point: You can rent for 2,410 hours (~100 days of non-stop-continuous use) before reaching the cost of the $6000 Mac. Mac's top out at 192GB not 2TB ;)
Consideration: If your AI training requires sporadic use (e.g., a few hours daily or weekly), renting is significantly cheaper.
MI300X will also get you result many times faster too, so you could probably multiply that 100 days!
dagaci commented on Run DeepSeek R1 Dynamic 1.58-bit unsloth.ai/blog/deepseekr... · Posted by u/noch
I honestly don’t know why people aren’t more upset by this and still get on their knees for Nvidia. They made the decision specifically to cripple consumer card memory because they didn’t like data centers were using them instead of buying their overpriced enterprise cards that were less performant. They removed NVLink because people were getting better performance out of their two $400 cards than the $1,500 cards Nvidia was trying to peddle. They willfully screw consumers and people love them for it.
Because sensible people just use the cloud at this point, you can probably get several years of training for $6000
So based on the 4090 prices and the small footprint, great thermals of the 5090. It doesn't seem like a bad deal to get 32GB VRAM and the fastest inferencing performance for $2K. Its looking like a 40% increase in performance (not that the 4090 was slow by any means).
Microsoft fails consistently ... even when offered a lead on the plate... it fails, but these failures are eventually corrected for by the momentum of its massive business units.
Apple is just very very late... but this failure can be eventually corrected for by its unbeatable astroturfing units.
Perhaps AMD are too small keep up everywhere it should. But compared to the rest, AMD is a fast follower. Why Intel is where it is is a mystery to me but i'm quite happy about its demise and failures :D
Being angry about NVIDIA is not giving enough credit to NVIDIA for being on-time and even leading the charge in the first place.
Everyone should remember that NVIDIA also leads into the markets that it dominates.