TensorWave

Happy Thanksgiving all! ??

Thanks for the article Wccftech ?? "TensorWave Plans To Make AMD's Offering Much More Aggressive, With The Aim of Breaking NVIDIA's Monopoly, Plans On Making Gigawatt-Tier GPU Clusters With MI300X, MI325X, MI350X AI Accelerators "

Step inside TensorWave’s new data center! Powered by cutting-edge AMD MI300X hardware and optimized for peak performance ??

?? The Rise of GPU Clouds! ?? Neo Clouds As the computing landscape rapidly evolves from general-purpose CPUs to powerful GPU acceleration, NYSE Wired is here to keep you at the forefront of the latest innovations transforming the industry. We recently had the incredible opportunity to spend a week with three of the top players in the burgeoning GPU Cloud market, each showcasing their unique offerings: ·??????Lambda: Sam Khosroshahi, Head of Strategic Pursuits, Lambda is pushing the boundaries of cloud-based NVIDIA GPU solutions. https://lnkd.in/ejfKN2d4 ·??????Crusoe: Under the leadership of CEO Chase Lochmiller, Crusoe is innovating in environmentally sustainable NVIDIA GPU cloud services. https://lnkd.in/ev7Xya5j ·??????TensorWave: Co-founded by Jeff Tatarchuk ??, TensorWave is redefining how we leverage GPU technology for high-performance computing with AMD GPUs https://lnkd.in/e4KuV4Ji Stay tuned as we dive deeper into how these pioneers are shaping the future of GPU Cloud computing! NYSE Wired & SiliconANGLE & theCUBE “Extracting the signal from the noise” John Furrier - David Vellante - Kevin Hawkins #GPUs #innovation #ai #silicon #ml #nysewired #theCUBE

AMD | TensorWave is gearing up to build the world's largest AMD GPU clusters in 2025, powered by the latest #MI300X, #MI325X, and #MI350X GPUs. What are the implications for the GPU market? ?? 1?? Increased Demand for AMD GPUs 2??(A change in the) Competitive Landscape 3?? Market Diversification 4?? Investment in Infrastructure ? 5??Influence on Software Ecosystem (devs optimize their apps for AMD architectures + enhances the software ecosystem around AMD GPUs) 6??Potential for Innovation ?

With 1 Gigawatt of capacity, we’re gearing up to build the world’s largest AMD GPU clusters in 2025, powered by the latest @AMD MI300X, MI325X, and MI350X GPUs. These clusters will redefine what’s possible in AI by being the first to leverage Ultra Ethernet fabrics, delivering unmatched performance, scalability, and efficiency. ?? Try AMD MI300X GPUs today with a 72-hour POC on TensorWave cloud.

Once upon a chilling October night, there was a company eager to change the world with their groundbreaking AI technology. They partnered with a GPU provider promising them power, reliability, and support. But as the company grew and their demands increased, strange things began to happen. First, there were small glitches—calls went unanswered, emails got lost. Then, orders for critical GPUs vanished into thin air. Panic spread through the office as project deadlines loomed. The company’s engineers were left staring at their screens, watching spinning wheels of doom and wondering what had gone wrong. One day, the CEO reached out to their GPU provider, but all they got was eerie silence. It was as if the entire provider had disappeared into the void, taking their GPUs with them. The company was left alone, trapped in the dark, their hopes slowly fading away. Just when they thought they were doomed, a whisper broke through the silence—TensorWave. With blazing fast AMD MI300X accelerators, reliable support, and a promise to never ghost their customers, TensorWave showed up just in time. The company’s servers roared to life, and their engineers could finally breathe a sigh of relief. The company learned a valuable lesson that day—don’t let unreliable providers haunt your future. Trust TensorWave to always have your back. And with that, the ghostly tale ends… but your AI journey doesn’t have to. ??

Today, we’re announcing a pivotal alliance with TECfusions, granting TensorWave access to 1-gigawatt (GW) of purpose-built AI capacity, reinforcing our commitment to leading in advanced AI infrastructure ?? Read the full release here: https://buff.ly/4e4tt4Y

GPU Go brrrrrr, but at what cost??? Great news for much of the AI industry is that a formidable alternative to Nvidia is ready to rock! AMD GPUs work off the shelf with standard inference runtimes like vLLM. A special shoutout to TensorWave and Cirrascale Cloud Services for making these tests possible. In this blog post, we measure standard off the shelf performance of AMD MI210, MI250X, and MI300X GPUs vs some Nvidia alternatives. We apply absolutely no performance tuning. Some key highlights: 1. The Nvidia GPUs consistently run the fastest 2. The AMD GPUs are consistently the most price efficient 3. There is a lot of room for improvement! One of the key things we note is that there is quite literally a 10x difference between AMDs and Nvidia's MLPerf results for similar sized models and the vLLM results. At large scales, even 5-10% differences in GPU utilization can mean millions of dollars of changes in your bottom line. The importance of optimizing your serving setups cannot be overstated! https://lnkd.in/grvt5uGJ

Huge thanks to Brian J. Baumann for hosting our Co-Founder and CGO, Jeff Tatarchuk ?? , at the NYSE with fellow AI infrastructure founders yesterday