Cloud AI
Featured
Artificial Intelligence
Prompt Injection Guardrails: AWS vs Azure Compared
Prompt injection guardrails from the two biggest clouds work only when they are wired the way each platform expects, and both hide a default that silently weakens protection: Amazon Bedrock will not filter prompt...
Artificial Intelligence
GPU Autoscaling by Queue Depth: The Full KEDA Setup
Artificial Intelligence
Multi-LoRA Serving: Sharing One GPU Across Adapters
Insights for your day
Artificial Intelligence
HNSW Tuning in Practice: m, ef_construction, ef_search
HNSW tuning for vector search comes down to three settings: m, ef_construction and ef_search. The first two shape the graph you build; the third shapes every query you run. Raise any of them and...
Artificial Intelligence
KV Cache Memory Sizing for Long-Context LLM Serving
KV cache memory — not model weights — is usually the constraint that decides how many long-context requests a GPU can serve concurrently. The key-value cache for each request is huge and grows and...
Fresh perspectives
Artificial Intelligence
Cloud Run GPU Inference: Limits, Cold Starts, Costs
Cloud Run GPU attaches an NVIDIA accelerator to a fully managed container service: no drivers to install, no reservations to book, and a service that can scale down to zero between requests. For bursty...
Artificial Intelligence
Confidential Computing Attestation for AI Inference
Confidential computing attestation is the cryptographic handshake that lets a key service decide whether the code requesting your model weights or customer data is the exact workload you built. AWS Nitro Enclaves issue signed...
Artificial Intelligence
OpenAI agent pipeline: 948 Linux root exploits in 30h
OpenAI has published the details of an agentic security pipeline that, in a single 30-hour October run using an upcoming cyber-focused model, triaged 2,308 candidate Linux kernel findings, dynamically reproduced 1,724 vulnerabilities, and produced...
Cloud Computing
AWS Training in Brazil: What Reddit Reveals About the Real Experience
Brazilian cloud engineers and DevOps practitioners have turned Reddit into one of the most honest feedback loops on AWS training available anywhere.
Keep exploring
Artificial Intelligence
Streaming LLM Tokens: SSE vs WebSocket in Production
Artificial Intelligence
Counting Tokens Before Inference: Three Provider APIs
Artificial Intelligence
INT8 vs FP8 vs INT4: Selecting Weight Quantization
Artificial Intelligence
Spot GPU Interruptions: Cross-Cloud Notice Windows
Artificial Intelligence
Semantic Caching for LLM APIs: The Engineer’s Guide
Artificial Intelligence
Speculative Decoding in vLLM: The Engineer’s Setup
Artificial Intelligence
LLM Tracing and Evaluation That Works in Production
Artificial Intelligence