OpenAI and Synopsys announce GPT-Synopsys, a frontier model trained as an EDA expert user
OpenAI and Synopsys announced a multi-year deal on September 30 to co-develop GPT-Synopsys, a chip-design model trained with licensed EDA tools.
Compute
Published entries filed under “Compute” in News, newest first by publication date on this site.
9 entries
Google open-sources AX, a Kubernetes-style orchestrator for autonomous agents
Google open-sourced AX under Apache 2.0: agents as stateful long-running actors, sub-second checkpointing, dense per-host multiplexing, on top of Kubernetes.
DeepSeek details DSec: the sandbox infra that creates 3 million agent-training sandboxes a day
DeepSeek disclosed DSec, the sandbox infra behind its agent training: four execution backends, on-demand images, about 3 million sandboxes a day.
DeepSeek open-sources its Ascend stack: every V4-series operator now has a Huawei-chip port
DeepSeek published six Ascend component repos on September 30; it says every V4-series NVIDIA operator now has an Ascend counterpart.
OpenAI expands its AWS partnership: managed agents, ChatGPT in Slack and Teams
OpenAI will run managed agents on AWS and bring ChatGPT to Slack and Teams without individual licenses, with a private-inference preview coming this fall.
CXMT commits RMB 34.9B to R&D and a second memory test base
Per a Sept 28 filing, CXMT will put RMB 24.1B into a technology R&D project and RMB 10.8B into its Hefei memory test base Phase II, using over-raised funds.
China reportedly poised to approve ByteDance and Alibaba purchases of Nvidia RTX Pro 5500
Per The Information, China’s MIIT asked ByteDance and Alibaba to report RTX Pro 5500 purchase plans and signaled approval; it may skirt US export controls.
Anthropic signs a seven-year, $11.6 billion cloud deal with Akamai, a bet on CPUs
Akamai announced on September 24, 2026, that Anthropic will spend $11.6 billion over seven years on its cloud, the largest contract in Akamai’s history. Akamai also issued Anthropic a warrant, and the deal could grow to about $20 billion.
vLLM team’s startup Inferact runs Kimi K3 on 16 TPU v7 chips 57% faster than GB200
Inferact, founded by the original vLLM team, wrote a megakernel inference kernel for Google TPUs. Paired with DeepSeek’s DSpark speculative decoding, 16 TPU v7 chips served Kimi K3 at 709 tokens per second versus 452 on GB200 under the same setup, QbitAI reports. The code is open source.