dailyai.report

Google is developing TPU v8 to accelerate large-scale model training. Simultaneously, Tesla is building a dedicated research fab to optimize its own silicon. These parallel efforts signal a shift toward vertically integrated hardware stacks. Practitioners should expect tighter integration between custom chips and specific model architectures to reduce inference costs and latency.