Spectro Cloud

Palette is the only enterprise #Kubernetes management platform built for scale in any cloud, bare metal and edge.

Gartner Cool Vendor, CRN Tech Innovator

[Spectro Cloud @spectrocloudinc]

Yup, that's us. 😎
@NVIDIA announced DSX this week, and we're part of it as an ecosystem partner.

If you haven't caught up to the NVIDIA DSX announcement and what it means for infrastructure builders, you better run-don't-walk to read it 👉 https://t.co/EOgcgGv5Jk

[Spectro Cloud @spectrocloudinc]

AI + San Fran = 🫶
In a couple of weeks, we're heading to Moscone Center for our first time at @Databricks' Data + AI Summit, and we're excited to bring the latest on PaletteAI to a room full of the data and AI teams actually putting this stuff into production.

[Spectro Cloud @spectrocloudinc]

Proud to be listed in @NVIDIA's announcement as an ecosystem partner adopting DSX OS components.

The fit between PaletteAI and NVIDIA DSX is intentional and part of our vision for AI factory infra to work as one system, from design to operations.

🔗 https://t.co/4OGqoQBb3l

[Spectro Cloud @spectrocloudinc]

"You can't run modern AI on yesterday's infrastructure."

Mic-drop moment from Justin at National Restaurant Show.
Plus, it's just... true.

Watch Justin and Deborah talk about why scaling AI in restaurants comes down to the infrastructure underneath 👉 https://t.co/GQguxCVBwh

[Spectro Cloud @spectrocloudinc]

Demand for AI infrastructure isn't the problem for neoclouds and MSPs. Turning a pile of GPUs into a real business is.

Our Head of Partner Programs wrote about the 5 capabilities that separate the providers who'll still be around in 2028 from the rest 👉 https://t.co/ydOtD4U6mH

[Spectro Cloud @spectrocloudinc]

For the techies: if you're building multi-tenant AI infrastructure, the orchestration-to-fabric handoff is probably the part keeping you up at night.

Our tech brief shows how PaletteAI + Aviz ONES + NVIDIA Spectrum-X solve it end-to-end.

Check it out 👉 https://t.co/bC0PBeZxUi

[Spectro Cloud @spectrocloudinc]

Running AI on K8s means running GPUs on K8s. And if you've set that up from scratch, you know NVIDIA's docs can be... a lot. 😅

Our Principal AI Architect Pedro Oliveira wrote a blog a while back on what the GPU Operator actually does under the hood 👉 https://t.co/kYvP6PtnI3

[Spectro Cloud @spectrocloudinc]

Your data scientists want a new model to work on, not a new ticket to wait on.

PaletteAI's Model as a Service is a win-win: platform teams keep governance and lifecycle management intact; AI teams get the self-service they actually wanted.

Check it out: https://t.co/rYcLqlGO0v

[Spectro Cloud @spectrocloudinc]

Multi-tenant AI is hard to get right and expensive to get wrong.

The fix is validating the design before the hardware shows up.

Read about PaletteAI + Aviz ONES + NVIDIA Spectrum-X, tested in DSX Air in a browser before any physical kit is on the line 👉 https://t.co/D5eO476FFx

[Spectro Cloud @spectrocloudinc]

GPUs alone don't make an AI factory.

You also need deterministic fabric, Kubernetes aligned to GPU topology, multi-tenancy that holds, and lifecycle automation at scale.

That's what we're building with @AvizNetworks on @NVIDIA Spectrum-X.

Learn more 👉 https://t.co/sJI3L6F6Iy

[Spectro Cloud @spectrocloudinc]

Security x performance is the tradeoff most teams feel with AI infrastructure.

You either enforce security and accept degraded GPU performance, or cut corners to keep utilization high.

See how we work with @F5 and @nvidia to eliminate that tradeoff 👉 https://t.co/yg0xBTaa7O

[Spectro Cloud @spectrocloudinc]

If you're evaluating K8s platforms, the GigaOm Radar reports are one of the more honest reads out there.

They cut through the marketing layer and show how vendors actually compare on scale, flexibility, ecosystem, and cost.

Grab a copy 👉 https://t.co/K8dOlNOEDU

[Spectro Cloud @spectrocloudinc]

Thanks for all the memories, Edge Computing Expo!

Yesterday we wrapped up two days of great conversations, and a lot of energy around edge AI.

Thanks to everyone who stopped by booth 212, caught Saad's session, or just smiled at our edge demo camera. 😁

[Spectro Cloud @spectrocloudinc]

AI factories broke the old security playbook.

Tools built for last decade's apps can't catch poisoning in training data or protect data sitting unencrypted in GPU memory.

SAINA fixes that: security anchored in silicon, not software.

Learn more 👉 https://t.co/z3We7sh3Tp

[Spectro Cloud @spectrocloudinc]

We're excited to partner with WEKA to bring one-click deployment of NVIDIA's AI Data Platform to PaletteAI. We combine our infra orchestration with WEKA's NeuralMesh storage to keep AI pipelines running at the speed production workloads demand.
Learn more: https://t.co/ezIO0txs8D

[Spectro Cloud @spectrocloudinc]

@awscloud And for those not around the National Restaurant Association Show, you can learn more about how we support edge AI for multi-unit and quick-serve restaurants 👉 https://t.co/xSZng8s4Zm

[Spectro Cloud @spectrocloudinc]

At the National Restaurant Association Show, Justin will be joining @awscloud to talk through what's actually getting in the way of restaurants and QSRs reaching that agentic future.

If you're at McCormick Place, do stop by!
Session details here 👉 https://t.co/RPV4ZC6i6X

[Spectro Cloud @spectrocloudinc]

NRA Show starts today and here's what's on our menu in Chicago this week:🍴 Speaking session with AWS on the agentic restaurant, Mon 1:30pm
🍴 Cocktails & Connections at RPM Italian, Mon 9pm
🍴 Justin & Matt onsite meeting industry leaders at the AWS Hospitality Meeting Space

[Spectro Cloud @spectrocloudinc]

If you're also a fan of NVIDIA Jetson devices, the good news is that pairing them with Palette keeps running your apps at the edge simple, even at enterprise scale across thousands of devices.

Learn more about our 'better together' story with @NVIDIA 👉 https://t.co/ZYaU39GIq4

[Spectro Cloud @spectrocloudinc]

Edge Computing Expo is right around the corner and yes, we're biased, but if there's one session we'd point you to, it's this one.

Our CTO is walking through what an immutable edge AI stack looks like in practice, from OS to lifecycle management across thousands of locations.