Excited to join @Tesla_AI
Working on hardware–software co-design across the stack — model architecture → compiler/runtime → kernels → silicon.
Optimizing across these layers is where the real gains are. Looking forward to pushing it 🚀🙂
Our newest AI accelerator Maia 200 is now online in Azure.
Designed for industry-leading inference efficiency, it delivers 30% better performance per dollar than current systems.
And with 10+ PFLOPS FP4 throughput, ~5 PFLOPS FP8, and 216GB HBM3e with 7TB/s of memory bandwidth it's optimized for large-scale AI workloads.
It joins our broader portfolio of CPUs, GPUs, and custom accelerators, giving customers more options to run advanced AI workloads faster and more cost-effectively on Azure.