Hot Chips 2026: Nvidia presents Groq 3 LPX architecture and unveils its first third-party inference benchmark
To explain how it works, let us compare OpenAI’s and Nvidia’s approaches. Nvidia’s standard system-level decomposition is primarily two phases: prefill and decode. Prefill is generally compute-bound (which is why Nvidia …
Hot Chips 2026: IBM’s first dual-ISA core natively executes ARM and z/Architecture in the same core; all cores run at 5.7 GHz base frequency
Additionally, more local capacity could also reduce communication between accelerators. Conventional expert parallelism distributes experts across GPUs and requires all-to-all communication at every layer. OXMIQ claims t…
To explain how it works, let us compare OpenAI’s and Nvidia’s approaches. Nvidia’s standard system-level decomposition is primarily two phases: prefill and decode. Prefill is generally compute-bound (which is why Nvidia …
Mounting the wafer-scale engines vertically in the backpack modules lets Cerebras do away with a PCB or substrate for the wafer to handle all its supporting infrastructure. Instead, the backpack connects the large copper…
A Rubin GPU carries 288GB of HBM4 , roughly 576 times the memory of a single LP30, so a 31-billion-parameter model at FP8 needs on the order of 62 LPUs to hold its weights, and a large mixture-of-experts model runs into …
To explain how it works, let us compare OpenAI’s and Nvidia’s approaches. Nvidia’s standard system-level decomposition is primarily two phases: prefill and decode. Prefill is generally compute-bound (which is why Nvidia …
Hot Chips 2026: IBM’s first dual-ISA core natively executes ARM and z/Architecture in the same core; all cores run at 5.7 GHz base frequency
Mounting the wafer-scale engines vertically in the backpack modules lets Cerebras do away with a PCB or substrate for the wafer to handle all its supporting infrastructure. Instead, the backpack connects the large copper…