I understand, but it makes no practical sense. The 800GB/sec is the throughput 
the fabric, not a peer to peer rate. So yes, the network can support multiple 
clients at a TOTAL rate greater than the speed of an individual machine - 
eventually the data goes through the memory bus of a machine.

> On May 24, 2025, at 7:40 PM, Jason E. Aten <j.e.a...@gmail.com> wrote:
> 
> In the video, https://www.infoq.com/presentations/redesign-oltp/ at 14:00 
> minutes in
> is what I was referring to. Greef shows a graph from Roland Dreier and cites 
> his
>  blog post, see Figure 1 of that blog. He points out the flip from 2020 to 
> 2023.
> 
> https://blog.enfabrica.net/the-next-step-in-high-performance-distributed-computing-systems-4f98f13064ac
> 
> > By 2023, DDR advanced 50% with the transition to DDR5, but PCIe 
> > throughput quadrupled with a two-generation jump from Gen3 to Gen5, 
> > and Ethernet throughput increased eightfold, to 800 Gbps on a single link
> 
> On Sunday, May 25, 2025 at 1:19:41 AM UTC+1 robert engels wrote:
>> That doesn’t make sense. Memory can’t be slower than disk - disk is either 
>> physical, or memory backed - which means its upper speed limit is the memory 
>> speed limit.
>> 
>> If the presentation means to imply that ethernet is so fast - faster than 
>> memory busses themselves - that you could fan out to achieve speed faster 
>> than memory - that doesn’t make help - because either it is DMA - going to 
>> disk (which is slower), or going to the CPU - which can only read memory at 
>> the speed of the memory bus.
>> 
>> You could theoretically achieve “ultra speeds” with multicasting, on a super 
>> fast ethernet bus - but the source is still probably limited to memory 
>> speeds.
>> 
>> So the abstract you provided doesn’t jive with me.
>> 
>> 
>>> On May 24, 2025, at 7:06 PM, Jason E. Aten <j.e....@gmail.com <>> wrote:
>>> 
>> 
>>> This is an amazing talk from last year 2024 March 22 Qcon from
>>> the TigerBeetle CEO, Joran Greef. Zig has lessons for Go.
>>> 
>>> "Redesigning OLTP for a New Order of Magnitude"
>>> https://www.infoq.com/presentations/redesign-oltp/
>>> 
>>> Early on the talks covers that latest trends in memory vs network vs disk,
>>> (hint: at 800GB ethernet means memory is now the bottleneck, and
>>> it is slower than disk(!)).
>>> 
>>> Greef also talks about Deterministic Simulation Testing (DST) and 
>>> gives a highly compelling demo for why you want it.
>>> 
>>> He points out that replication algorithms like Paxos and Raft, and points
>>> out that a single sector fault on one machine can create global 
>>> data loss. Yikes.
>>> (See 35 minutes in)
>>> 
>>> Again, the video at 35:00 gives a very strong critique of Raft vs VSRR
>>> 
>>> arguing raft too simple/inappropriate (assumes perfect disks)
>>> 
>>> and for actual faulty disks can get blocked and not be fault
>>> 
>>> tolerant at all. They use VSRR in TigerBeetle, plus NASA/Fortran
>>> 
>>> style "pre-allocate all memory". 
>>> 
>>> 
>>> 
>>> TigerBeetle is Apache 2 open source. It is written in Zig but has
>>> 
>>> lessons for software using Go throughout.  His discussion of
>>> 
>>> optimizing write compaction in LSM trees is fascinating, 
>>> 
>>> as is integrating consensus with replication (2018 best paper
>>> 
>>> at FAST from Alagappan et al), and using 
>>> 
>>> speculative replicated state machine
>>> 
>>> execution to avoid stalling on bad storage sectors -- I
>>> 
>>> expect all of these to be the future of databases.
>>> 
>>> 
>>> 
>>> Five stars.
>>> 
>>> 
>>> 
>>> Enjoy,
>>> 
>>> Jason
>>> 
>>> 
>> 
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> 
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