TensorWave is an AMD-exclusive cloud platform designed specifically for AI workloads. Offering AMD Instinct MI325X and MI355X GPUs, TensorWave is a top-choice for training, fine-tuning, and inference. Visit tensorwave.com to learn more. Send us a message to try it for free.
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TensorWave reposted this
“This is a new industrial age.” From capital efficiency and AI infrastructure investment to open ecosystems, power constraints, and the future of AMD-powered AI, Piotr Tomasik 🌊 shares his perspective on what it takes to build the infrastructure behind the next wave of AI. Watch the full interview: https://lnkd.in/gZSHmszN
ROCm & Roll was one for the books 🎤 Great people, questionable karaoke choices, and a pretty fun way to wrap up AMD Advancing AI. Thanks to everyone who came out and made it a night to remember. Trace3 | ai& | dstack | Edgecore Networks Corporation | Featherless AI | Luma | Makora | Moreh | VAST Data | Wafer
As AI workloads grow, performance depends on more than just faster GPUs. AMD CDNA 5 is designed around what increasingly matters at scale: keeping compute, memory, and connectivity working efficiently together. Here’s why that matters for the next generation of AI infrastructure 👇 https://lnkd.in/gU24bpkZ
TensorWave reposted this
100+ of the most influential people across digital infrastructure are coming to Austin for #DatacloudUSA and #MetroConnectFall this September - and here are just 20 of them to show you what to expect. They span every sector you need to deliver gigascale digital infra: data center operators and suppliers, hyperscale, neocloud, power and energy, fiber, finance, legal and beyond. You'll find all these leaders and many more in Austin, TX this September, at the only C-level event built around the full digital infrastructure ecosystem. Register: https://lnkd.in/gvRwi8y2 Marc Ganzi Sachin Jain Colin McLean Nancy Novak Phillip Marangella Jeff Uphues Dan Davis Alex Hernandez Amber Caramella John White Jason Altobelli Ellen Yang Piotr Tomasik 🌊 Raj Jegannathan Joshua Pang Sapna S. Jennifer Fritzsche Chad Crank William Smales
Diffusion models are moving fast. Can the infrastructure keep up? Join TensorWave, Decart, and Compute Exchange on August 20 in San Francisco for a technical discussion on what’s next for diffusion and multimodal models, from training costs and inference latency to the architecture decisions still up for debate. 📍 Bright Data Loft 📅 August 20 | 6:00–8:30 PM RSVP: https://luma.com/AI002
A few highlights from AMD Advancing AI 2026 🎥 We caught up with Ramine Roane from AMD, Junchen Jiang from Tensormesh, Emilio Andere from Wafer, and Mingshou Liu from Edgecore Networks Corporation for some quick conversations on AI, infrastructure, and what they’re excited about next. Plus, a look back at some of our favorite moments from the event. Check out the recap 👇
Big AI ambitions require infrastructure built to match. TensorWave has signed a long-term agreement with Fermi America for 222 MW of capacity at Project Matador in Texas, with expansion rights that could bring our partnership to more than 650 MW. Once fully delivered, the first phase is expected to support tens of thousands of next-generation AMD Instinct™ GPUs for large-scale AI training and inference. This is another major step toward building the infrastructure needed to support AI at unprecedented scale. Read the news: https://lnkd.in/gmxS-V4y
We're getting hyped up for this one!
Most data centers were built on old assumptions: big training jobs, homogeneous fleets, and plenty of time to plan capacity. Inference broke all three. At ModCon '26, Jay Jackson (SVP, Oracle Cloud) and Jeff Tatarchuk 🌊 (Co-Founder & CGO, TensorWave) join us for a fireside chat to weigh in on the future of the data center. Catch the conversation via livestream: https://lnkd.in/gZgPgnQC
Scaling AI takes more than compute. It takes a network built to keep up. TensorWave and Edgecore Networks Corporation are working together to deliver the high-performance connectivity behind demanding AI workloads. See what we’ve built together: https://lnkd.in/gQXdcHXZ
At Beyond Summit, Ameet Suri VP of AEC Product from Credo shared why bringing hardware and software teams into the same room matters, especially as the industry works through challenges around performance, reliability, and scale. From GPUs and interconnects to software and the data center fabric, every layer has to work together to move AI forward. Hear more from Ameet Suri on why collaboration is critical to building a stronger, more open AI ecosystem. https://lnkd.in/gf3-67Va