Inference

Speculative decoding with a hard contract: decode faster without a single byte changing. What TensorFold can do, what it costs, and who should use it now.

OpenAI has released the first benchmark results for "Jalapeño," its custom inference ASIC built with Broadcom. The chip delivers up to 1.9x more work per watt and significantly lower latency, especially for interactive and agentic workloads.

Benchmark scores are great for shortlisting, but production decisions require real-world metrics. Learn the 30-minute 'Cost-per-Task' method to accurately compare LLMs based on your actual prompts, token consumption, and latency.

DeepSeek-V4-Flash activates 13B parameters per token but keeps 284B resident. Its experts ship in FP4, and that one choice sets almost the whole memory bill.