Brad Videon 🌊

So exciting to see TensorWave recognized by The Compute 100 as one of the companies helping shape the future of compute and making an impact on the industry! From day one, we’ve bet on an open, @AMD-native approach to AI cloud infrastructure, and it’s exciting to see that vision gaining momentum across the industry. We’re just getting started. Check out our listing here: thecompute100.com/private

Today we’re launching a refreshed website. Built to better reflect where we are as a company… and where AI infrastructure is headed next. Cleaner navigation, updated messaging, deeper technical content, and a stronger look to the platform powering the next wave of AI builders. Take a look: tensorwave.com

Proud partner with @FeatherlessAI as their compute provider to make open-source AI truly available to everyone! 🚀

If you’re in San Francisco for AI Dev Day, or any of the other conferences happening this week come join us on Thursday. AI DevDay After Hours! Presented by @tensorwave Sponsored by @makora_ai and @dstackai luma.com/vljb8i59

Hard launch. April 8, 2026 | San Francisco, CA Secure your seat. na2.hubs.ly/H04B6G_0 Speakers: Jeff Tatarchuck, Darrick Horton, Piotr Tomasik, TensorWave | Ashish Vaswani, Essential AI | Greg Diamos, ScalarLM | Anush Elangovan, Neha Prikyira, AMD | Dylan Patel, SemiAnalysis | Matthia Lechner, Liquid AI | Andrzej Janik, ZLUDA | Farbod Tavakkoli, AT&T | Quentin Anthony, Zyphra | Emilio Andere, Wafer AI | Marc Fleury, dstack | Michael Søndergaard, Spectral Compute | George Cameron, Artificial Analysis | Eugene Cheah, Featherless AI | Bill Brennan, Credo | Akhil Sharma, Silares | Waleed Atallah, Makora | Eric Hartford, Quixi AI | Jay Dawani, Lemurian Labs | Jon Stallman, PG&E | David Kanter, MLPerf | Mostafa Hagog, Modular

the line up for beyond [cuda] is going to be🔥. who are we missing?

We are on the ground at @NVIDIAGTC, and this week is stacked. Find us here: @AristaNetworks + TensorWave Happy Hour 📅 Wednesday, March 18 | 5:30-7:30pm 📍Save your spot: na2.hubs.ly/H04kC9b0 GPU Night AI Infra @ GTC with @makora_ai , & @dstackai 📅 Wednesday, March 18 | 6-9pm 📍Get on the list: na2.hubs.ly/H04kFZS0 Want to meet with us directly while we’re in town? Set up a meeting: na2.hubs.ly/H04kzgV0

Too many founders thought long term GPU reservations were risky. What’s actually risky is building an AI company while assuming compute will magically be there when you need it.

RE: The event formerly known as Beyond CUDA With Nvidia’s GTC coming up, I’ve been thinking about the last few years. Every year during GTC we try to do something to stir the pot. Two years ago we drove an LED truck around the convention center showcasing AMD vs NVIDIA hardware specs. It ended with a robot holding a red pill. Everyone loved it. Nvidia’s security… not so much. Last year we hosted an event called Beyond CUDA. The premise was simple: Bring together engineers, researchers, and founders building outside the NVIDIA ecosystem. We thought maybe a few dozen people would show up. 400+ builders packed the room. No hype. Actual demos, deal discussions around the latest, frameworks, compilers, kernels and new model architectures. Showcasing the things that have been quietly happening at the edges of the industry. Because here’s the reality: A huge portion of AI has become structurally dependent on one company. And everyone know’s it. But very few people are willing to say it publicly. No one wants to upset Jensen. No one wants to risk their GPU allocation. So people stay quiet. But computing history is very clear about one thing: Monocultures don’t last. Every major shift in computing started the same way: A small group of builders deciding to step outside the dominant system. This year we planned to host the event again in the same venue. But NVIDIA booked it for the next four years. Which felt… on brand. So we made a decision. If this movement is going to grow, it has to go even further. Beyond CUDA. Beyond vendor lock-in. Beyond the idea that one company defines the limits of AI. So the event is evolving. Beyond CUDA is now the Beyond Summit. The name changed. But the mission hasn’t. We’re still bringing together the best people in the industry pushing the frontier of AI infrastructure. If you’re building the next wave of AI, you’ll want to be in this room. April 8 — San Francisco RSVP luma.com/g03nmrq8

Today's internet runs on the cloud. Now, we're launching the American Science Cloud, a platform to facilitate and support research, data sharing & computational analysis. It’s a cornerstone of the Genesis Mission’s platform infrastructure: energy.gov/articles/energ…

Last night at TensorWave HQ, the Las Vegas AI builder community showed up in full force. One of the highlights of the evening was Sunny Agrawal’s live demo, where he deployed an automated Kubernetes inference service end-to-end, moving from infrastructure to a running production workload in real time. What stood out wasn’t just the deployment itself. It was how it happened. Anyone can provision a cluster and call it done. But real AI infrastructure doesn’t stop at spin-up. Models need tuning. Services need orchestration. Workloads need to actually run reliably in production. That’s where engineering depth matters. Sunny’s demo showcased what defines TensorWave’s approach: engineers who understand workloads, not just hardware. The kind of expertise that steps into the trenches when something isn’t working... diagnosing bottlenecks, optimizing deployments, and making sure customers leave with systems that actually perform. Because infrastructure only matters when workloads succeed. Huge thanks to everyone who joined us and helped make the Vegas AI builders community stronger. More to come.

👀 Beyond CUDA on Apr 8 in SF

Piotr Tomasik's framework for deploying AI factories landed hard... They include 3 silent drivers: 1. Securing power 2. Making GPUs operate in tandem 3. The people who make it run Scale isn’t a single component. It’s the system. Discover more: na2.hubs.ly/H02Zmj80

Fun CES moment: TensorWave was listed as an @AMD partner during Dr. Lisa Su’s keynote. We’re proud to be part of the ecosystem helping teams build and run real workloads on AMD Instinct GPUS reliably at scale.

This is why we love Lisa Su: steady leadership, engineering credibility, and a long-view approach that’s helped reshape @AMD into a serious AI-era competitor. WIRED captures the story really well; less flash, more focus, and real discipline. Read here: na2.hubs.ly/H02Fvyf0

🎉 TensorWave turns 2! 🎉 Two years ago, we set out to prove that an AMD-only cloud could power serious AI at scale. Today, we’re supporting some of the most demanding AI teams with high-performance GPU clusters, open ecosystems, and a focus on real-world results... not hype. Huge thank you to our customers, partners, and the TensorWave team for believing in a different way to build AI infrastructure. Here’s to the next chapter. Head to tensorwave.com to learn more.

Huge congrats to our CEO & Co-founder, Darrick Horton, for being named to the Forbes 30 Under 30 in AI. Chosen by an incredible panel of judges including @omooretweets (a16z), @graceisford (Lux Capital), May Habib (Writer) and @jainarvind (Glean), this list highlights young leaders driving real impact, innovation, and future potential in AI. We're proud to be building alongside him and can't wait to share what's ahead in 2026. Editors: @zoyahasansoomro @RashiShrivast18 Nicole McElroy

Headed to #neurips in San Diego next week. If you’re into talking about GPU’s, AI compute, LLM’s, training and inference, let connect! 🤝🏼

Happening now at SuperCompute 2025 in St. Louis! Nikhil Gupta from TensorWave is chatting with attendees about how @AMD Instinct MI355X GPUs deliver breakthrough efficiency and scalability for enterprise AI workloads. Learn how the TensorWave + @Supermicro + AMD stack is changing the game for enterprise AI. 📍 Booth 3504 🕥 10:30 AM, Tuesday, Nov 18 Stop by to see what next-gen performance really looks like.

We are honored and proud to power the nation’s 2 newest supercomputers - Discovery and Lux. Thanks to @SecretaryWright, @ENERGY, @ORNL - through public-private partnership we are expanding the nation’s AI computing capabilities and accelerating US AI science and research together with our partners @HPE and @OracleCloud.