Post by AMD

Biology is entering its inference-at-scale era. Models like AlphaFold3 help researchers predict entire biological systems, from protein-ligand interaction to antibody-antigen binding and transcription factor-DNA engagement. As sequence length and complexity grow, so do the compute and memory demands. That’s where OpenFold3 + AMD Instinct GPUs come in. OpenFold3 from OpenFold brings advanced co-folding into an open ecosystem. AMD Instinct GPUs deliver the performance and memory to run these workloads efficiently at scale. What this unlocks: • Up to 45.5% faster inference (AMD MI355X vs. NVIDIA B200, seq length 5K) • Up to 22.1% faster inference (AMD MI300X vs. NVIDIA H100, seq length 3K) • Longer sequences (up to 6,000 tokens) • High-throughput prediction of thousands of structures per day This is the shift: from isolated breakthroughs to scalable, real-world impact. Take a closer look ↓ https://lnkd.in/gi4Fd9Xn