gpu

CRD validation error rejecting AMD GPU spec in deployment manifest

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Problem – CRD Validation Rejects AMD GPU Specification in Deployment Manifest When deploying an AI inference service that requires an AMD GPU, the kubectl apply -f deployment.yaml command fails with a validation error from the AMD GPU admission webhook. Typical error output looks like: error: admission webhook “validate.amd.com” denied the request: spec.template.spec.containers[0].resources.limits.amd.com/gpu: Invalid value: “1” … Read more

Google Gemini token limit exceeded during multi-GPU distributed training

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Google Gemini Token Limit Exceeded During Multi‑GPU Distributed Training Problem Description When launching a Distributed Data Parallel (DDP) or torch.distributed job that trains a Gemini model across multiple GPUs, the training loop aborts with errors similar to the following: Error 400: Token limit exceeded – request exceeds maximum allowed tokens of 8192 gemini_token_limit_exceeded: batch_id=42, tokens=10240, … Read more

CUDA OOM during long sequence inference on NVIDIA GPU

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Problem Description On‑premise LLM inference nodes equipped with NVIDIA GPUs (e.g., A100 40 GiB, RTX 3090 24 GiB) crash when processing prompts that exceed the pre‑allocated key‑value (KV) cache size. The failure manifests as a CUDA out‑of‑memory (OOM) exception during the attention kernel launch. Typical log excerpts: [2026-08-10 14:32:07] ERROR – torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.00 … Read more

Haystack scheduler pod placement failure due to insufficient GPU

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Problem Description In a Haystack deployment that runs multi‑GPU training jobs, the scheduler pod remains Pending with events such as: 0/5 nodes are available: 5 Insufficient gpu or FailedScheduling: pod has unschedulable: no nodes match node selector These failures prevent the haystack-scheduler from launching training workers, effectively blocking any multi‑GPU training pipeline. Root Cause Analysis … Read more

Ingress routing misconfiguration in Docker GPU cluster

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Problem Description In a Docker Swarm GPU cluster (A100/H100), services that request –gpus become unreachable through the Swarm ingress routing mesh. Clients receive HTTP 502/504 errors, and the Docker daemon logs report failures such as: Failed to create endpoint: network ingress: driver failed programming the network: MTU mismatch Ingress routing mesh: connection timed out (504) … Read more

Hugging Face RAG retrieval empty results on A100 GPU cluster

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Problem Description – Empty Retrieval Results on A100/H100 GPU Cluster When executing a Retrieval‑Augmented Generation (RAG) pipeline on a multi‑node GPU cluster (A100/H100), the RAGRetriever consistently returns an empty document list despite: Valid natural‑language queries. A fully populated FAISS index built from the knowledge base. Successful generation of query embeddings on the GPU. Typical log … Read more

HAProxy timeouts during batch ingestion to multi-GPU training cluster

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Problem: HAProxy Timeouts During High‑Throughput Batch Ingestion In a multi‑GPU training cluster, HAProxy fronts a set of tensorflow/torchserve workers that accept large JSON or binary payloads via HTTP POST. During nightly batch uploads (10 GB + per request) clients observe: HTTP 504 “Gateway Timeout” with HAProxy log entry SC (client timeout) Intermittent HTTP 502 “Bad Gateway” with log entry sH … Read more

AMD GPU context window overflow in air-gapped environment

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Problem Description In an air‑gapped deployment of large language models (LLMs) on AMD GPUs, inference jobs abort once the prompt length exceeds a certain token count. The failure manifests as memory allocation errors that appear unrelated to the reported free VRAM. Typical log excerpts: 2026-07-12 14:03:21 [INFO] Starting inference on model LLaMA-13B 2026-07-12 14:03:22 [ERROR] … Read more

TensorRT batch inference timeout on GPU during high concurrency

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Problem – TensorRT Batch Inference Times Out Under High Concurrency In a production GPU inference service the following symptoms appear when the request rate spikes: Requests that submit a batched input to IExecutionContext::enqueueV2 return false after ~10 s. Server logs contain messages such as: [ERROR] Failed to enqueue inference: Timeout while waiting for GPU [TensorRT] Execution … Read more

AMD GPU token refresh failure during disaster recovery

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Problem – Token Refresh Failure During Disaster Recovery on AMD GPU Systems During a planned disaster‑recovery (DR) drill, AI inference workloads that rely on AMD Instinct GPUs stopped abruptly after the failover to the backup cluster. The ROCm runtime emitted the following error: TokenRefreshError: failed to refresh access token – ROCm runtime aborts with exit … Read more