TensorWave thinks it can break Nvidia’s grip on AI compute with an AMD-powered cloud

Nvidia delays leaving you scrambling to figure out what now? Hit me up and let’s talk @AMD #MI300X we have ready to go. @TensorWaveCloud #nvidiadelays #blackwell #gpus

Llama 3.1 405B could be the catalyst for much greater #AMD adoption for AI inference 📈 @AMD's MI300X may be uniquely suited to cost-effective Llama 3.1 405B inference. Its 192GB of memory allows a single 8xMI300X node to serve Llama 3.1 405B in its native FP16 precision -

Researchers have introduced a new method to speed up long context windows in LLMs. Their adaptive structured sparse attention mechanism reduces Time-to-First-Token latency without affecting accuracy or needing extra training. Learn more: https://t.co/6qJ5ckEkAy #LLMs #research

ollama run llama3.1:405b Tested in @TensorWaveCloud with @AMD MI300X 🤯

Milestone Unlocked 🚀 We have achieved FP8 on @AMD's MI300X. Discover the implications for AI workloads in our latest blog post. Click to learn more! 👉 https://t.co/YSmxRbHTn8

Running out of #compute credits? If you are a startup let’s talk. We are building something special and welcome your feedback! @TensorWaveCloud #compute #ai #GPU

New achievement unlocked! 🔐 Thanks to our friends over at @mkoneai & @Gradient_AI_ , we've cracked the code on a real-time chat with 1M context window using Llama 70B! Which is cool by itself, however, thanks to our MI300X's and their massive 192GB of memory per card; These

A TensorWave Report: Unlocking real-time chat with 1M context Llama3-70B model on AMD’s MI300X

AMD does it again! We love to see AMD growing presence in the AI and data center market 🚀 #AMD #TensorWave #AI #CloudCompute https://t.co/D0aFaaqupF

Just dropped my first blog post (out of three) on getting started with AMD ROCm for AI! 🚀 Thanks to @TensorWaveCloud and @cognitivecompai for hooking me up with some sweet MI300x GPUs. If you're curious about AMD's answer to CUDA, check it out. https://t.co/Jw8jemsg9E

Alex Rodriguez asked a question. Reggie Jackson answered it. (Shouts to the producer and rest of the desk for staying out of Reggie’s way and just letting him talk. I doubt they expected this answer. But it’s a great few minutes of television.) https://t.co/7WqjlppvF8

A TensorWave Report: AMD’s MI300X Outperforms NVIDIA’s H100 for LLM Inference There has been much anticipation around AMD’s flagship MI300X accelerator. With unmatched raw specs, the pressing question remains: Can it outperform NVIDIA’s Hopper architecture in real-world AI

Can someone explain what @realGeorgeHotz did here? MLPerf is a benchmark suite that is used to evaluate training and inference performance of on-premises and cloud platforms, usually used for Nvidia GPUs? So he got an AMD GPU to benchmark on an Nvidia benchmark meaning he

I asked Lenovo's North American president about demand for AMD's Instinct MI300X GPU, and he gave a pretty interesting response. Note that this was before Nvidia's Blackwell announcement, but I think the comment is still very relevant. https://t.co/ipmgqy2f6E #amd #nvidia

Going to the @genaisummitsf and want to talk GPUs? Ping me and let’s talk about the @AMD MI300X

Check out this bootcamp to hear our CEO, Darrick Horton 🌊, dive into TensorWave’s real-world application of AI fabrics, showcasing our strategies in design, management, and future expansions! #Bootcamp #AI #Event https://t.co/4sVCt9osIJ

🚀 AMD's MI300X outshines NVIDIA! TensorWave praises MI300X for AI tasks over NVIDIA’s H100. 🌐 Cost-effective, planning 20k units! 💾 Boasts 192GB HBM3e, top speed 5.3TB/sec. 🔍 Explore MI300X's impact on AI tech. #Innovation #Tech #AMD #AI https://t.co/8rOmsgFSLz

Glad to be of service 💪🌊

Exciting collaboration alert! 🚀 Aviz and TensorWave are joining forces to enhance GPU services! Together, we're pushing the boundaries of innovation and making waves 🌊 🌊 #AI #CloudComputing #Innovation #collaboration