ttfvjktesd

6 ms·

1.
by ttfvjktesd 11mo ago
> failed to rotate the AWS root account credentials ... stored in a shared enterprise password manager Unfortunately, many enterprises follow the poor practice of storing shared credentials in a shared password manager without rotating t
2.
by ttfvjktesd 1y ago
How is it going to work when the GPU is in the cloud and the storage is miles away in a local colo in SF down the street? I was under the impression that the GPUs has to go multiple times over the training dataset, which means transfer 30 P
3.
by ttfvjktesd 1y ago
> do you think managing IAM and Terraform is free? No, but I would argue that a SaaS offering, where the whole maintenance of the storage system is maintained for you actually requires less maintenance hours than hosting 30 PB in a colo.
4.
by ttfvjktesd 1y ago
How about all the other infrastructure. Since you are obviously not using the cloud, you must have massive amounts of GPUs and operating systems. All of that has been working together, it's not just keep watching for the physical disks
5.
by ttfvjktesd 1y ago
You are under the assumption that only Ceph (and similar complex software) requires staff, whereas plain 30 PB can be operated basically just by rebooting from time to time. I think that anyone with actual experience of operating thousands
6.
by ttfvjktesd 1y ago
The biggest part that is always missing in such comparisons is the employee salaries. In the calculation they give $354k/year of total cost per year. But now add the cost of staff in SF to operate that thing.
7.
K8s on Hetzner vs. AWS Fargate(beuke.org)
5 points by ttfvjktesd 1y ago|0 comments
8.
by ttfvjktesd 1y ago
> even though I'm going to have to make a pixel-perfect clone of my university's LaTeX template I'm not sure if you really mean pixel perfect or if it's just an exaggeration. There are packages in latex which are almo
9.
by ttfvjktesd 1y ago
> Britannic has long been one of the major bucket-list dive that many deep wreck sport divers pursue. There were less people non-commercial diving below 100m, than people reaching the top of the everest. If someone has Britannic on his l
10.
by ttfvjktesd 1y ago
This piece is interesting background, but worth noting that the actual numbers are highly speculative. The NSA has never disclosed hard data on capacity, and most of what's out there is inference from blueprints, water/power usage
11.
by ttfvjktesd 1y ago
I think one important point is missing here: more data does not automatically lead to better LLMs. If you increase the amount of data tenfold, you might only achieve a slight improvement. We already see that simply adding more and more para
12.
by ttfvjktesd 1y ago
Different compiler versions, target architectures, or optimization levels can generate substantially different assembly from the same high-level program. Determinism is thus very scoped, not absolute. Also almost every software has know unk
13.
by ttfvjktesd 1y ago
On the other hand, one can see it as another layer of abstraction. Most programmers are not aware of how the assembly code generated from their programming language actually plays out, so they rely on the high-level language as an abstracti
14.
by ttfvjktesd 1y ago
> tens of millions of disks If we assume enterprise HDDs in the double digit TB range then one can estimate that the total S3 storage volume of AWS is in the triple digit Exabyte range. That's propably the biggest storage system on
15.
by ttfvjktesd 1y ago
Digital Ocean is also using Ceph[1]. I think these cloud providers could easily have 100s of PBs Clusters at their size, but it's not public information. Even smaller company's (< 500 employees) in today's big data collect
16.
by ttfvjktesd 1y ago
> By the way, the crop and blur from that screenshot above .... I just want to mention that blurring secret information is not secure. Use black bars instead.
17.
by ttfvjktesd 1y ago
How does TernFS compare to CephFS and why not CephFS, since it is also tested for the multiple Petabyte range?