Built on TensorWave cloud 🌊 .

RT @jtatarchuk: Loved this panel convo in Paris on The Rise of the East: How Will the West Respond to Open Source AI? . @dylan522p @reach_v….

@AMD

CUDA helped launch the AI era. But it’s becoming a bottleneck. High prices. Locked ecosystems. Scarce GPUs. We break down why the future of AI infra looks different—and how ROCm + @AMD are changing the game. Read the full article below 👇

RT @theRab: “The AI revolution needs more than just ambition—it needs infrastructure.”. Recent interview with Enterprise Podcast Network wh….

RT @picocreator: When the microphone fails in Paris.You do what you gotta do, .even if you loose your voice. @dylan522p , @reach_vb , Kyle….

We've raised $100M to scale AMD GPU-powered infrastructure. The goal: make high-performance AI compute more accessible—and less locked down. Backed by top investors, we're building for the future of open, efficient AI. More here 👇

RT @AccBalanced: @dylan522p always at the coolest venues. @TensorWaveCloud @RaiseAISummit #OpenSource

We’ve brought the TensorWave show to Paris, France 🇫🇷. Thank you @SemiAnalysis_ , @huggingface , and @FeatherlessAI for joining us to talk about the the rise of open source in the East and what the West can do to catch up.

.@piotrstomasik (Co-Founder, COO, and President) takes the stage at RAISE AI in Paris, France to discuss Sovereign AI, what is it and why it matters.

See the full comparison here:

MI325X vs. MI300X isn't just specs—it’s strategy. More HBM3E (256GB) + 6TB/s bandwidth means big models stay in memory. No sharding. No overhead. Same ROCm stack. Better throughput. Lower cost. The gap between training + inference just got smaller.

Open-source AI is accelerating in the East. The West? Still clinging to closed systems. On July 8 in Paris, we’re bringing together leaders from @huggingface, @SemiAnalysis_ , and @FeatherlessAI to ask the hard question:. Rise of the East: How Will the West Respond to Open

Not every AI workload needs hyperscaler pricing. We're seeing strong results with @AMD Instinct GPUs—especially for teams scaling LLM inference without vendor lock-in. Throughput per dollar matters. So does long-term TCO. Sometimes smarter compute ≠ more expensive compute.

@AMD Article:

Powered by @AMD Instinct, built for next-gen inference, and ready to disrupt. See what makes it a game-changer 👇

@piotrtomasik @EPodcastNetwork Listen here:

The AI revolution needs more than ambition—it needs infrastructure. Our Co-Founder @PiotrTomasik joins Executive Podcast Network (@epodcastnetwork) to talk:. 🔹 Breaking the GPU monopoly.🔹 Power of AMD GPUs.🔹 Scaling inference in the cloud. Listen here 👇.

Generic LLMs are fine—until you need precision. If your model doesn’t speak your org’s language, it won’t deliver. We wrote a quick guide on fine-tuning LLMs on your own data—6 practical steps from start to scale. Read the full guide →

RT @LVGEA: 🚀 S. NV is powering the future of AI.@TensorWaveCloudis building next-gen cloud infrastructure for machine learning—right here i….