If you understand this well, please lay it out here in a straightforward manner.
137 karma · joined August 24, 2023
If you understand this well, please lay it out here in a straightforward manner.
Internal ABI/API is used by extensions to directly interact with core subsystems and depends on internal models for things like storage.
It might be analogous to HTTP versus an nginx plugin.
Exchanges have calculation rules for every type of mark and payment and will always specify rounding.
It's not handwaving to complain that shipped features are never completed and a functional CLI for fundamental and critical tasks is never delivered.
One good one is that providing concrete razors for compliant and non-compliant behavior accelerates the gaming of the rules.
Modern geological estimates are radically lower.
Military and civil emergency communications use alternative pronunciations where clarity and brevity are critical.
The idea that 4 of the largest investment banks in the US were destroyed is not just utterly false, it’s hard to imagine how one could interpret the outcome in this manner.
Why would anyone be happy that the government offered handouts that were stolen, low-level criminals prosecuted, meanwhile every single principal who was culpable went unpunished?
I don’t need to hear from you how this is off-base or I’m misunderstanding. I’m close to principals involved in the crisis and worked for years in the response to it, and have heard what went on in the meetings dramatized afterwards.
They're building it for themselves and employ world-class experts across the entire stack.
How can NVIDIA develop "more integrated" solutions when they are primarily building for these companies, as well as many others?
Examples of these companies doing things you mention as being somehow unique to or characteristic of NVIDIA:
Complex kernel drivers or modules:
- AWS: Nitro, ENA/EFA, Firecracker, NKI, bottlerocket
- Google: gasket/apex, gve, binder
- Meta: Katran, bpfilter, cgroup2, oomd, btrfs
Hardware simulators:
- AWS: Neuron, Annapurna builds simulations for nitro, graviton, inferentia and validates aws instances built for EDA services
- Google: Goldfish, Ranchu, Cuttlefish
- Meta: Arcadia, MTIA, CFD for thermal management
Optimizing Compilers:
- Amazon: NNVM, Neo-AI
- Google: MLIR, XLA, IREE
- Meta: Glow, Triton, LLM Compiler
Acceleration Libraries:
- Amazon: NeuronX, aws-ofi-nccl
- Google: Jax, TF
- Meta: FBGEMM, QNNPACK
Meta builds hardware from chip to cluster to datacenter scale, and drives research into simulation at every scale, all the way to CFD simulation of datacenter thermal management.
Most of the senate are lawyers and it’s the most frequent occupation of a legislator.
There are many more games to play than delta one takeout and the solutions certainly don’t fit on one or a handful of FPGA’s.
They pay fees to exchanges.
As a market maker, some rebates are given back conditional on their activity.
They have no users.
You’re just constantly obliviously asserting falsehoods that betray an almost comical lack of understanding of the reality of these businesses.
All your posts here are low-information anti-finance rants.
Antennas would be much more difficult and likely moot.
If the mother carries the translocation, the rate of recurrence isn’t much more than 10%. If it’s the father, it’s significantly less.