nserrino

10 ms·

1.
by nserrino 3mo ago
Voice is one of the most latency-sensitive modalities in AI. Moonshine is doing awesome stuff
2.
Formally verifying AI-generated GPU kernels(gimletlabs.ai)
2 points by nserrino 3mo ago|0 comments
3.
Formally Verifying AI-Generated GPU Kernels(gimletlabs.ai)
1 points by nserrino 3mo ago|0 comments
4.
Low-Latency Inference with Speculative Decoding on D-Matrix Corsair and GPU(gimletlabs.ai)
1 points by nserrino 7mo ago|0 comments
5.
The emerging role of SRAM-centric chips in AI inference(gimletlabs.ai)
3 points by nserrino 7mo ago|0 comments
6.
by nserrino 1y ago
Hey, thanks for the thoughtful comments. A lot of big claims have been made in this area so skepticism is the right default reaction. tl;dr: agree that we should provide the kernels and benchmark suite so this can be evaluated by others, wi
7.
by nserrino 1y ago
PyTorch is the baseline because that's what people prototype in, and the most common reference point. The aim here is to show that you can start from prototype code and automatically produce lower-level kernels (in this case Metal) tha
8.
Speeding up PyTorch inference on Apple devices with AI-generated Metal kernels(gimletlabs.ai)
187 points by nserrino 1y ago|30 comments
9.
by nserrino 2y ago
They are just incredible live ... Flood was the soundtrack of my childhood. It's great to see how many fans on HN they have. If you have a chance to check them out in concert, do it!
10.
by nserrino 2y ago
What kind of models are you deploying and what type of problems are you having with deploying them?
11.
by nserrino 2y ago
I've mostly switched over to Waymo, but had to take Ubers twice in the last month: * The first one, the driver made multiple racist remarks about different groups he observed as we drove. * The second one, the driver talked at length a
12.
Show HN: Pixie, open source observability for Kubernetes using eBPF(github.com)
6 points by nserrino 4y ago|3 comments
13.
by nserrino 4y ago
The stories we often see about burnout in tech are interesting. There’s a lot about burning out of programming etc, the hours. Of course, long hours will eventually burn you out in most any profession. Less commonly discussed, it seems like
14.
Dumpster diving the Go garbage collector(blog.px.dev)
13 points by nserrino 5y ago|0 comments
15.
Observing HTTP/2 Traffic Is Hard, but eBPF Can Help(blog.px.dev)
91 points by nserrino 5y ago|4 comments
16.
Did I get owned by Log4Shell?(blog.px.dev)
3 points by nserrino 5y ago|0 comments
17.
Distributed Bpftrace with Pixie(blog.px.dev)
4 points by nserrino 5y ago|0 comments
18.
by nserrino 5y ago
For me, the issue was that the recipes took too long. The huge amounts of packaging didn’t help, either. It was way too much work overall.
19.
by nserrino 5y ago
We use an operator to deploy Pixie: https://github.com/pixie-io/pixie/tree/main/src/operator https://github.com/pixie-io/pixie/tree/main/k8s/operator
20.
Horizontal Pod Autoscaling with Custom Metrics in Kubernetes(blog.px.dev)
4 points by nserrino 5y ago|0 comments
21.
by nserrino 5y ago
Thanks for the guide. I don't love using Java, but I recall that Java IDEs from 2010 provided a smoother experience for this functionality than VSCode seems to for non-Java apps today. I wonder how long it will take to reach parity the
22.
by nserrino 5y ago
I guess this is like saying "A Joule is a Joule" regarding different types of energy (gravitational potential, nuclear, etc). It may be true in an abstract sense, but the conversion efficiency makes a large impact in a practical s
23.
by nserrino 5y ago
Correct, this project is unaffiliated with that one.
24.
by nserrino 5y ago
Pixie maintainer / OP here. There's a lot of debate right now about licensing in the open source community. We made the call to go with Apache 2.0, and the lead of our project wrote in the post about why we made that decision.
25.
Open sourcing Pixie under Apache 2.0 license(blog.px.dev)
108 points by nserrino 5y ago|18 comments
26.
Want to Debug Latency? (2018)(rakyll.medium.com)
2 points by nserrino 5y ago|0 comments
27.
A thorough introduction to eBPF (2017)(lwn.net)
3 points by nserrino 5y ago|0 comments
28.
How Etcd works and tips to keep in mind(blog.pixielabs.ai)
7 points by nserrino 6y ago|0 comments
29.
by nserrino 6y ago
/s noted (but point also taken). For those unfamiliar: APM = application performance monitoring. Essentially, figuring out why your application is slow or broken.
30.
by nserrino 6y ago
Engineer from Pixie here. Pixie is an APM tool for Kubernetes leveraging eBPF for automatic data collection. You can use it to monitor and debug your application performance, without code or configuration changes.

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