A developer benchmarked three Gemma 4 deployments on a single AWS T4G GPU for under $3, comparing vLLM, JAX, and PyTorch runtimes. The project built a common harness to measure decode throughput, reve…
A developer benchmarked AWS g5g and g6 GPU instances for serving Google's Gemma-4-E2B language model with identical code and weights, finding the g6 delivers 3.7x the decode throughput. Profiling reve…
A developer's benchmark of the two cheapest CUDA GPU instances on AWS reveals that while the Arm-based g5g.xlarge is 20% cheaper per hour than the Intel-based g4dn.xlarge, the Intel instance is more c…
A developer has published a step-by-step guide for serving Google's Gemma 4 model on an AWS EC2 G5g instance using pure JAX, targeting the cheapest whole NVIDIA GPU available on AWS. The guide details…
An engineer successfully ran Google's Gemma 4 E2B model on AWS EC2 G5g, a Graviton2 (aarch64) instance with an NVIDIA T4G GPU, achieving 43.1 tokens per second after patching vLLM. The deployment requ…