OpenAI unveiled Jalapeño, its AI accelerator chip designed partly using its own LLMs, achieving a rapid 20-month timeline from concept to silicon. The chip delivers 13.4 petaflops of compute and reduces latency by up to 3.6 times compared to Nvidia's GB300 while consuming less power, with a small team of roughly 100 people leveraging AI to accelerate design iterations.
OpenAI unveiled Jalapeño, its AI accelerator chip designed partly using its own LLMs, which achieved a 3.6x latency reduction compared to Nvidia's GB300 while consuming less power. The chip moved from concept to silicon in under 20 months with a team of roughly 100 people, leveraging LLMs to accelerate the design process through automation of language and code-based tasks. Industry experts credit the rapid timeline to LLM capabilities integrated into chip design workflows, with potential for even faster development as the models improve.
Cody Ho and Niklas built a fully OpenGL ES 3.0 compliant GPU driver for Apple's M4 Mac Mini and MacBook Neo in about one month by reverse engineering the AGX firmware ABI and user-space components using a hypervisor. The driver achieves high performance, running Minecraft at 200fps and supporting WebGL in browsers, and involved clean-room development techniques without accessing Apple binaries.