When the host dies with local storage, the VM is dead. With EBS it's not, since it simply can be booted up on another host. EBS is also replicated accross multiple hosts.
Thank you for your kind answer. I understand EBS as, in other words, virtualized storage, so then somewhere the logical block addresses have to be connected to actual physical storage devices, right? Then where and how is that mapping implemented? If you just give me the keywords, I’ll search for them myself.
Since I’m a freelance programmer, I mainly work on small-to-medium-sized projects, so I don’t know much about this kind of infrastructure programming.
Look up “SAN” or “storage area network.” EBS looks like a regular, local block device, another disk in /dev, but is actually served over the network. The implementation is transparent.
> Look up “SAN” or “storage area network.” EBS looks like a regular, local block device, another disk in /dev, but is actually served over the network.
When I think of "SAN" I think of Fibre Channel, which can be quite fast. EBS sounds more like iSCSI.
Anthropic trained their LLMs with copyrighted stuff but distillation is bad. Anthropic has closed models, China releases as open weight. DeepSeek even allows distilling their models, but China = bad. Understood.
Mistral has solid OCR, STT and TTS models and I would love to support them by switching with all of our business workloads to Mistral... but their LLM models are sadly not competitive at all. In our business benchmarks their Mistral Medium 3.5 with reasoning is worse than Gemma 4 31B and Glimmer 30B. It's a 128B dense model that's priced accordingly! Mistral Small 4 is way worse than Gemma 4 26B A4B. I applaude the effort that they release those models as open weight but Gemma 4 models are currently way easier to run with more tok/s and less hardware. Their API pricing is just insane for what you get. But I guess enterprise customers don't care about it, this is why they are probably not lowering it.
> Mistral Small 4 is way worse than Gemma 4 26B A4B
Depends for what purpose? I found large Mistrals are massively better than Gemma 4 at creative writing: have more natural tone, better consistency than 26B as it is MoE.
Mistral Small 4 is also a MoE model, with way more params, so I would expect it to perform better. Our benchmark involves around 10% communication and writing in German and English and Gemma 4 26B A4B beats it although creative writing is the only category in our benchmark which might be a bit subjective.
For me Opus 5 was the nail in the coffin. Fable without the restrictions was a great model, but became unusable with the security guardrails. Opus 5 became so bad and slow it's unbearable. And since Fable falls back to Opus all the time it was time to switch. Me and my friends are calling it Slowpus by now... Up until some weeks ago Anthropic was the king, but we all switched to Grok 4.6. It became slow as well but is not down all the time, is a solid model and paired with another reviewer model it's a great daily driver.
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