i'm hiring engineers OBSESSED with enabling AI infra at scale at @tensorwave roles include: - VP Eng - VP Datacenter - Product - SRE - Full Stack Devs - and more.. we are focused and dedicated to a single vision - to empower the next wave of AI 🌊 we are the architects,

Thanks to AI Infra Summit for having @DarrickHorton share his thoughts on the future of cloud infrastructure. Great to share the stage with leaders from @Vultr, Structure Research, and @OVHcloud_US 🌊

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I'm hiring AI Cluster / HPC / Infrastructure Engineers at @TensorWaveCloud Key skillsets include: - Expert level Linux administration - Debugging and Problem-Solving mindset - Prior experience in Clustered Computing (GPU, CPU, or otherwise) - Solid grasp of networking

AMD chips are great! Well done @DarrickHorton👏

We're proud to support @TensorWaveCloud's Series A and excited to see the team build on our MI325X GPUs! 💪

🚨 We’ve raised $100M Series A to accelerate the buildout of our @AMD MI325X GPU training cluster, grow our team, and scale operations. The era of generalized cloud is over. TensorWave is here to lead what’s next. Read the full story on our website 👇

And we are just getting started! 🌊

Today I am happy to announce that we have completed a $100M Series A led by Magnetar and @AMD! This marks a momentous milestone for TensorWave as we continue to build and scale our team, clusters, and datacenter capacity. I want to give a huge shoutout to our co-founders,

We’re amazed: @AMD now beats Nvidia in inference for Image-to-Video generation. 20% faster and 35% cheaper when using our Higgsfield DoP model. AMD MI300X also has a very easy setup. Details and tests are below. 🧩 1/8

We are hosting a summit on March 17 in San Jose called Beyond CUDA. We will be showcasing the work being done to break up the CUDA moat. We have a stacked list of founders, researchers, and engineers who will be speaking and sharing demos. I'm curious who else is out there

The @PyTorch team are working on a new super important tool: https://t.co/Jam9e0Hrz1 This repository implements techniques for doing a per-step fault tolerance so you can keep training if errors occur without interrupting the entire training job. Some big companies already have

https://t.co/FgfgQrhoVW

The path to excellence is an elegant dance with pain.

We’ve been hard at work with @AMD to optimize training for AMD GPUs. Today, we’re sharing a critical milestone towards this goal: FlashAttention-2 (FA2) and Mamba-2 backward kernels on AMD MI300X that surpass NVIDIA H100. We @ZyphraAI are the first to achieve this.

The only wave on my mind today is @TensorWaveCloud

Friends - I have the best biomarkers in the world. I am the healthiest person on the planet. I am fitter than most teenagers. My skin is smoother than that of women in their 20s who obsess over theirs. I have more stamina in bed than men in their 20s. I have better health

This is the most important paper in a long time . It shows with strong evidence we are reaching the limits of quantization. The paper says this: the more tokens you train on, the more precision you need. This has broad implications for the entire field and the future of GPUs🧵

We’re thrilled to announce that @TensorWaveCloud has secured $43M in SAFE funding, marking the largest funding round in Nevada startup history! This milestone fuels our growth, allowing us to expand our datacenter capacity and deploy thousands of AMD Instinct™ MI300X GPUs to

I’ve said this before and I’ll say it again. The #1, #2, #3 deciding factor of a startup’s success is the shipping velocity. Companies have no long term moat, the only moat is a fast shipping culture.