Erhan Giral

speaker

389 appearances 1 recordings 1 series first heard Aug 2026 last heard 3 Aug

Erhan Giral’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months

Recordings per month over the last 12 months — 1 in all, peaking in Aug 2026 with 1.

Appearances

newest first · ▶ plays the moment

Eye On A.I. · AI Agents Fixing Your IT Before You Even Know Something Broke | Erhan Giral & Ryan Manning, BMC Helix · 3 Aug 2026 podcast

highly available, not so cutting edge hardware.

And that does require some work on, like I said, being able to train the model so that you don't essentially activate necessarily the entirety of that model for every single token.

Also being able to support multiple tenants perhaps on one installation, one single tenant.

So we've done a lot of work to make generative AI not just possible and exciting, but also economic to run.

So from that perspective, I think we do have, like I said, I don't do a lot of competitive analysis as part of my job.

But from that perspective, I know we have pretty unique features and advantages.

So we talked about containers and containerization.

So this happens to be yet another set of containers you deploy as part of the product.

The only perhaps maybe slight difference is

The machine that's going to run this container will now need access to a decent GPU.

And we support pretty old hardware, all the way from Nvidia's L4s to A100s.

And nowadays, RTX 6000s are pretty good.

So we just require them to procure or lease or find a GPU and then we give them the software architect that basically is part of our platform really.

And that thing turns our model into an inference server that all the other things in the system can then start utilizing.

And also the training, we have this optional tenant-specific training pipeline also.

What that is, is they could just go to our administrative UI and tell us where their sources are, where their ticket sources are, or their knowledge articles, runbooks, and what have you.

And what we do is we harvest all that and then we analyze the data to see what can be learned from them.

So that's also pretty, I would say, interesting because that allows us to keep up with the organization because no IT organization is constant, right?

So they deploy something, maybe their network is all Cisco hardware.

But all of a sudden, somebody introduces new Juniper hardware somewhere.

Showing 241–260 of 389 · page 13 of 20