Fireworks launches ARCv3 compressor for reinforcement learning training
Halving weight-update payloads changes the economics of distributed RL, since network bandwidth between regions is often the bottleneck when trainers and rollout workers sit apart. Teams running their own trainer against Fireworks rollouts can evaluate the blog post to see whether cross-region setups become cheaper than co-locating infrastructure.
