benchmarking

RAG prompt template rendering error during performance benchmark on Kubernetes

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Problem The retrieval‑augmented generation (RAG) service deployed on a Kubernetes cluster fails during the performance benchmark phase with a prompt template rendering error. The error appears only under load and aborts the benchmark run, causing the following observable symptoms: Benchmark client receives HTTP 500 responses with body {“error”:”PromptTemplateError: variable ‘context’ is undefined”}. Pod logs contain stack … Read more

TGI service unreachable during benchmark due to DNS resolution failure

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Problem – TGI Service Unreachable During Benchmark During automated performance benchmarking of a Text Generation Inference (TGI) deployment, the benchmark script repeatedly fails with a DNS resolution error: 2026-10-18 14:32:07,123 ERROR benchmark.py: Failed to resolve host “tgi-model-prod.example.com”: Name or service not known Traceback (most recent call last): File “/opt/benchmark/benchmark.py”, line 87, in run ip = … Read more

LangChain benchmark failing with 429 rate limit after parallel runs

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Problem During automated performance benchmarking of LangChain pipelines, the test suite spawns multiple parallel LLM calls. After a few seconds the benchmark aborts with HTTP 429 “Rate limit exceeded” errors. The failure appears only when the benchmark runs with concurrency greater than a single worker; serial runs complete successfully. Root Cause LangChain delegates LLM invocations to … Read more

GPT-3.5 inference timeout during batch benchmark on GPU instance

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Problem: GPT‑3.5 Inference Timeout During Batch Benchmark on GPU Instance During automated performance runs on a cloud GPU node, each benchmark iteration invokes the OpenAI ChatCompletion endpoint with a max_tokens payload of 256 and a per‑request timeout of 30 seconds. After a few warm‑up batches the script aborts with a job completion timeout error, causing the … Read more

RAG document loader segfault after Redis batch load during benchmark

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RAG Document Loader Segfault After Redis Batch Load During Benchmark Problem During a high‑throughput performance benchmark of a Retrieval‑Augmented Generation (RAG) pipeline, the document loader crashes with a segmentation fault (SIGSEGV) or an out‑of‑memory (OOM) kill. The failure occurs immediately after a bulk INSERT of thousands of documents into Redis, just before the first query‑time … Read more

TensorRT engine collection creation failure during CI benchmark on A100

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Problem Description During an automated CI run that benchmarks TensorRT models on an NVIDIA A100, the trtexec command fails when attempting to create an engine collection. The job aborts with one of the following messages (observed in multiple CI runs): [Error] Engine collection creation failed (code: 1) Engine collection creation failed: Unsupported GPU architecture Engine … Read more

ReplicaSet fails to scale GPU pods after benchmark load

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Problem: ReplicaSet Fails to Scale GPU Pods During Benchmark Load During a performance benchmark of a deep‑learning workload, a ReplicaSet that requests nvidia.com/gpu resources stalls after a subset of pods become running. The remaining pods stay in Pending with scheduler events such as: 0/5 nodes are available: 5 Insufficient nvidia.com/gpu Typical impact includes: Benchmark run … Read more

ChromaDB OOM error during high-throughput vector insertion benchmarking

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Problem: OOM Errors During High‑Throughput Vector Insertion Benchmarking When benchmarking ChromaDB on a single‑node VM (16 GB RAM, 8 vCPU) with 10 M+ 768‑dimensional embeddings, the Python process is terminated by the kernel after a few gigabytes of RSS growth. Typical failure messages observed include: MemoryError: Unable to allocate 1.2 GiB sqlite3.OperationalError: database or disk is full OSError: … Read more

OpenAI GPT-4 OAuth2 flow interrupted during high volume API benchmarking

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Problem Description During an automated performance benchmark of the OpenAI GPT‑4 endpoint, a custom Python script launches hundreds of concurrent requests to measure throughput and latency. After a short ramp‑up period (≈30 seconds) the benchmark is interrupted by a surge of HTTP 401 Unauthorized responses. The script retries the failed calls, but each retry also receives 401, … Read more

Elasticsearch ReplicaSet scaling failure during benchmarking

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Problem: Replica Set Scaling Failure During Elasticsearch Benchmarking During a performance benchmark on a multi‑node Elasticsearch cluster, replica shards do not scale up or down in response to the predefined desired replica count metrics. The symptoms observed include: After adding two new data nodes, replica shards remain on a single node, causing CPU saturation on … Read more