Silicon
PsiQuantum turns to light to reconnect GPUs
PsiQuantum has unveiled an optical circuit switch derived from its quantum platform. Its value will depend on scaling the hardware and choosing useful connections in software.
Deep dives
All deep dives
Every LeCompute article available in English: silicon, inference runtimes, edge AI, costs and system observability.
47 articles in English , page 1 of 4
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Costs
Google runs AI in orbit. Can it run a data center there?
A Google satellite has returned a Gemma 4 response. Beyond the haiku, Suncatcher tests the power, cooling and communications needed to keep computing in space.
Costs
GPU cloud in France and Europe: choosing an H100, H200 or B300 instance
Compare exact instance sizes, GPU counts, regions and operating costs before renting a European GPU server from Scaleway, OVHcloud or another provider.
Costs
LLM inference cost: when can a GPU beat an API?
Calculate API and self-hosted inference costs with a fixed quality target, input/output mix, full operating cost and a server capacity check.
Runtimes
LLM KV cache: calculate memory before increasing context or concurrency
A worked KV cache calculation in GiB, with the limits of PagedAttention, FP8 quantization and prefix caching when sizing an inference server.
Runtimes
vLLM vs llama.cpp vs TensorRT-LLM: choose a runtime and test it fairly
Compare model support, memory, continuous batching and deployment paths before measuring useful throughput and latency on your own workload.
Runtimes
DeepSeek opens DeepInfer: model weights are only the beginning
DeepSeek has released its inference engine. The code shows how it speeds up models, and how much infrastructure still separates that engine from a production service.
Kernel & Perf
NVIDIA Minerva: finding what slows down an AI cluster
An AI job can slow down without a GPU failing outright. Minerva connects infrastructure and workload signals to help operators investigate the dependencies behind that slowdown.
Edge AI
LFM3 vs Qwen: what matters on phones and embedded devices
Compare LFM3 with small Qwen models on phones: iPhone measurements, real memory use, task quality and integration into iOS, Android and embedded applications.
Kernel & Perf
Flapping Airplanes: ThunderKittens, NVIDIA and the Megakernel Bet
A GPU can be busy without using all its resources. Follow an inference request to understand ThunderKittens, megakernels and the research behind Flapping Airplanes.
Kernel & Perf
Scion: why Anthropic replaced Git for its agents
An agent finishes a patch, then waits for test machines to fetch the code. Scion provides a starting point for understanding that hidden cost and the infrastructure choices behind it.
Costs
Alibaba wants to supply the chip, model and cloud. What choices remain?
Alibaba is bringing chips, models and agent services together. Open weights preserve some choice; adaptations and application state determine what can move elsewhere.