Applied benchmarks and engineering notes on running open models and scientific workloads on AWS Trainium.
João Correia, Telmo Felgueira, Tiago Gonçalves, Bojan Jakimovski, Jim Burtoft, Louise Ping · August 18, 2026
A native PyTorch benchmark showing EvolutionaryScale ESMC-300M running on AWS Trainium2: 490.8 variants per second on a single trn2.3xlarge — approximately 42.4 million protein variants scored per day at approximately $1.26 per million, 60% below H100 in this fixed-shape D2Deep benchmark.
Bojan Jakimovski, Loka Applied Research · May 21, 2026
A practical benchmark showing Hugging Face Bio Carbon running on AWS Trainium2 with NxD Inference, covering what worked, what we measured, and why it matters for bio and HCLS teams moving open models into production.
Bojan Jakimovski · May 21, 2026
Hugging Face Bio’s Carbon release is interesting for two reasons at once. First, it is a biology model. Second, it is not an infrastructure outlier. Many genomic models come with custom architectures, specialized…