Joined January 2020
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- Following 748
- Followers 763
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1,263 Photos and videos
Looking forward to AWS Summit D.C. and to connecting with public sector leaders who are transforming their missions with AWS.
We'll be there to share how we help teams keep workloads running across AWS, the edge, and the places where connectivity can't be taken for granted.
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If you see promises around VM modernization and think "okay but how does this actually work", this one is for you.
Cutting to the chase: our solution lets you run VMs natively inside your K8s clusters, with a unified platform experience.
Learn more 👉 okt.to/TzdPGI
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The biggest AI labs are choosing bare metal.
And there is a reason for removing the hypervisor sitting between the model and the silicon: money. Or on a less dramatic note: cost savings at scale.
In this blog we cover why and when to chose bare metal 👉 okt.to/1j82KP
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Fair warning: this one's got humblebrag vibes.
SoftwarePlaza wrote up the problems of cluster sprawl and how we help solve it, so yes, we're biased, but they do explain a real problem well and talk about how we approach it in detail.
Read it here 👉 okt.to/0dnC9x
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No AI platform can natively support every tool fast enough.
So either you accept being permanently behind, or you build a way to fill the gap.
We choose the second path, and the piece that makes it work is our bundle model.
Read about it here 👉 okt.to/LJIREG
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Next week we're heading to Vegas for @EverpureData's Pure//Accelerate!
We're super excited about everything we're building together with @portwx around modern virtualization, and we can't wait to build on it even more in Vegas.
Learn more 👉 okt.to/qm349f
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We bet @NVIDIA AI-Q is on every CTO's wishlist since GTC.
And it's seriously powerful, but definitely not a weekend project.
Good news is we just published a demo-to-production blog covering why AI-Q matters and what it takes to run it in prod 👉 okt.to/U4TlJk
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One week to go!
@databricks' Data AI Summit kicks off next week in San Fran, and we'll be set up at booth 426 with with PaletteAI demos, and ready to talk about what's making or breaking your AI stack.
If you're also heading to Moscone Center next week, come say hi! 👋
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Last week @NVIDIA dropped the hottest AI factory blueprint the industry has seen with DSX.
And our RVP of Global Technology Partnerships, who spent a decade at NVIDIA, AWS, and DDN building this stuff, wrote a blog breaking down what it means in practice: okt.to/b6kz1N
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This week, @NVIDIA shared the ultimate playbook for AI factories, and we got to be part of it as an ecosystem partner.
DSX solves the "how to build it" part of the equation, and PaletteAI solves the "how to run it" one.
Check out their announcement 👉 okt.to/GQl9Er
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This week, @NVIDIA shared the ultimate playbook for AI factories, and we got to be part of it as an ecosystem partner.
DSX solves the "how to build it" part of the equation, and PaletteAI solves the "how to run it" one.
Check out their announcement 👉 okt.to/Xj2UgF
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PaletteAI 1.1 is our first point release since GA two months ago, and it's almost entirely built from what customers told us they needed.
Andreea Munteanu shared the most relevant updates and what they mean for our customers in this blog 👉 okt.to/hTRiH8
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Chris Harrison, our RVP of Global Technology Partnerships, is writing a blog explaining where PaletteAI fits into the picture of the @NVIDIA DSX announcement, and we managed to steal a few minutes with him to get a sneak peek.
🔗 NVIDIA's announcement: okt.to/R9vMlC
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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 👉 okt.to/157djx
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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.
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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.
🔗 okt.to/pwbFc3
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"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 👉 okt.to/EVAZxi
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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 👉 okt.to/8cMUCJ
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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 👉 okt.to/WoeqUQ
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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 👉 okt.to/uv3Ztb
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