Abhinav Dobhal·6h 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·23h 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·1d 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.
AI Engineering·Oct 26How LLM Inference Gets Faster Even When Every Single GPU Operation Stays Unchanged
Ankush Dhanda·Oct 25How GPUs Actually Run LLMs: CUDA, Tensor Cores, and the Memory Bandwidth BottleneckPart 3 of LLM Inference Engineering — Understanding how GPUs execute transformer computations, why memory bandwidth matters, and how…
ABV — Applied AI Reviews·Oct 25DeepSeek Makes $38 per GPU Hour. Is the AI Compute Boom About to Kill Startups?DeepInfer reveals surprisingly lucrative AI inference economics. But if selling tokens pays better than building products, who gets to rent…
Ankush Dhanda·Oct 24Inside an LLM Model: What Are We Actually Downloading?Part 2 of LLM Inference Engineering — Understanding model files, transformer weights, attention heads, tokenizers, and GPU memory from…A response icon1A response icon1
Cipherwave·Oct 21Securing GPU Infrastructure: 3 Detection Patterns Cloud Providers Miss*Why AI infrastructure security requires fundamentally different detection logic*