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From Kernel Scheduler to Python Source Line: Tracing a GPU Stall End to End
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1 SIGNALFIRST DETECTED 29 May 2026
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29 May
From Kernel Scheduler to Python Source Line: Tracing a GPU Stall End to End
REPORT · WHAT · Dev.to
Other feeds and industry voices
16 Apr
MCP as Observability Interface: Connecting AI Agents to Kernel Tracepoints
<h2> TL;DR </h2> <blockquote> <p>MCP is becoming the interface between AI agents and infrastructure<br /> data. <a href="https://docs.datadoghq.com/bits_ai/mcp_server/"
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14 Apr
I use Langfuse for tracing. Here's why I added Rewind for debugging.
<p>Last week my research agent failed at step 15 of a 30-step run. Langfuse showed me exactly where it broke. The writer sub-agent hallucinated, citing a stale 2019 population
REPORT · WHERE · Dev.toOPEN STORY
1 Apr
124x Slower: What PyTorch DataLoader Actually Does at the Kernel Level
<p><strong>TL;DR:</strong> PyTorch's DataLoader can be 50-124x slower than direct tensor indexing for in-memory GPU workloads. We reproduced a real PyTorch issue on an RTX 4090
REPORT · WHAT · Dev.toOPEN STORY
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