System Design with Sage·6h agoThe three bottlenecks every text-to-video pipeline hitsIf your text-to-video demo feels fine on one prompt and collapses under ten concurrent users, I can usually predict why before opening a…A response icon1A response icon1
Ali Nasir·9h agoYour Enterprise AI Platform Doesn’t Need Another GPU. It Needs a Traffic Controller.Why inference scheduling, workload isolation, and admission control matter more than raw GPU capacity.
InCoding NexusbyCivil Learning·11h agoHow to Run a 35B AI Model on an 8GB GPU at 23 Tokens Per SecondMost people assume you need an expensive GPU with 24GB or more VRAM to run a 35B AI model locally.
Yang L·1d agoWhat It Would Cost to Train Famous AI Models TodayEvery few months a new AI model arrives with a bigger number attached: more parameters, more data, more GPUs. I wanted a feel for what…
Rahul Ganju·1d agoThe Next AI Breakthrough Won’t Be More Compute. It’ll Be Less Data Movement.# The Next AI Breakthrough Won’t Be More Compute. It’ll Be Less Data Movement.
Abhinav Dobhal·5d agoNVIDIA Now Ships Its Own Rust for CUDA. Here’s What’s in the BoxNVIDIA/cuda-rust puts a host runtime and two kernel models, Tile and SIMT, in one Apache-2.0 repo. I read the READMEs, release notes and…
Yaniv Leven·6d agoThe GPU Meter Starts When You Forget ItNVIDIA Kumo brings graph neural networks to Snowflake ML. Here’s what the GPU compute pools under it really cost, and the settings that…
System Design with Sage·6d agoHow LLM Batching Really Works Under Latency PressureI often see teams improve tokens per second, ship the change, and then get paged because first-token latency doubles under live traffic…
Ali Nasir·Oct 29Stop Buying GPUs by Model Size: The Enterprise AI Capacity LedgerWhy production AI infrastructure should be sized for workload behavior, service commitments, and recovery — not the largest model that fits…
InTechSyncbyDr. Fadi Shaar·Oct 26From NumPy to GPU: Accelerate Python Array Computing with CuPyHow an open-source library brings familiar NumPy and SciPy workflows to NVIDIA and AMD GPUs with minimal code changes.
