Renting an AI chip is starting to feel like booking a hotel in a sold-out city. You pay to hold the room, and the rate keeps climbing. On AWS, it just climbed again.
Amazon Web Services has raised prices for EC2 Capacity Blocks for ML by roughly 20%, starting in July. Business Insider first reported the change, and AWS confirmed it. The service lets companies reserve Nvidia GPUs in advance, so a long training run keeps going instead of stalling halfway.
This is the second increase in six months. AWS had already lifted the same prices by about 15% in January. Stacked together, the cost of locking in this compute has jumped sharply since the new year. AWS said the prices change “periodically based on supply and demand.”
The rise is narrow, not blanket. It hits one purchasing option: the reserved blocks favoured by serious AI teams training or fine-tuning large models. Other options keep fixed prices, AWS said, and the company says it will hold them there. The increase spared Trainium, Amazon’s in-house AI chip, according to The Information.
The scope still matters, because of how much sits on top. AWS is the world’s largest cloud provider, and a sprawl of AI services runs on its servers. When the priciest tier of its compute goes up, the cost ripples out to the start-ups and enterprises renting it. AWS, for its part, framed the move as proof of how strong demand for GPUs has become.
