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Artificial Intelligence
Multi-LoRA Serving: Sharing One GPU Across Adapters
Multi-LoRA serving answers a capacity question that hits every team running fine-tuned variants: if each customer needs its own adapted model, do you deploy a full model copy per customer? With adapter-based serving you...
Artificial Intelligence
HNSW Tuning in Practice: m, ef_construction, ef_search
Artificial Intelligence
KV Cache Memory Sizing for Long-Context LLM Serving
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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...
Fresh perspectives
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.
Artificial Intelligence
Streaming LLM Tokens: SSE vs WebSocket in Production
For streaming LLM tokens from a hosted model API to a client, server-sent events over plain HTTPS is the right default — it is the transport the providers themselves ship. Anthropic’s Messages API streams...
Artificial Intelligence
Counting Tokens Before Inference: Three Provider APIs
Every LLM request draws down two budgets at once: the model’s context window and the provider’s tokens-per-minute quota. Amazon Bedrock, Anthropic and Google Vertex AI each expose a token-counting endpoint that measures the exact...
Keep exploring
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
API Key Rotation for AI APIs: The Zero-Downtime Runbook
Artificial Intelligence
Model Deprecation Windows: Planning for API Retirements
Artificial Intelligence