A developer's hand-written Gemma 4 port in pure JAX runs across TPU v5e/v6e and NVIDIA T4G GPUs, revealing that while most of the code is portable, two hardware-specific issues break the abstraction. …
Google has committed $12 billion to Marvell Technology for development of its next-generation Tensor Processing Units (TPUs), according to The Wall Street Journal. The multi-year agreement covers seve…
A developer self-hosted a lite agent backend on a single Google Cloud TPU v5e chip, achieving 1,496 output tokens/sec aggregate throughput with 8.02 ms per-token latency for Gemma 4 E2B under vLLM. Th…
A developer detailed the deployment of Google's Gemma 4 2B model on a single Cloud TPU v5e chip using MCP and Antigravity CLI, achieving measured throughput and latency. The v5e chip, at roughly half …