Live and recent posts from across the Fediverse tagged #vllm, aggregated by home.social.
SaaS voice platforms boast sub-500ms latency, but chained APIs (STT->LLM->TTS) introduce volatile delays and cloud egress fees.
Our SRE guide to building an open-source Voice AI agent on Bare Metal:
⚡ Sub-400ms Streaming: Emit first packets at 167ms
🧠 vLLM Continuous Batching: PagedAttention for KV-cache scaling
🛡️ Zero-Trust Boundary: 100% HIPAA-compliant, air-gapped pipeline
https://www.irexta.com/tutorials/build-voice-ai-agent-bare-metal-gpus/
nvidia-smi can look green while your 512-GPU job stalls.
A single marginal MPO optical cable can silently slash bandwidth by 50% without dropping a link.
Our SRE guide covers GPU Cluster Validation & Serving:
🔍 DCGM Diagnostics: Stress testing FP8/BF16 Tensor Cores
⚡ NCCL Fabric: Enforcing the 92% bus bandwidth rule
⚖️ Triton vs vLLM: Layer 2 orchestration vs Layer 1 continuous batching
https://www.irexta.com/blogs/gpu-cluster-validation-triton-vs-vllm/
Intel Inference Microservices bring tuned LLM inference to Xeon processors through containers, with no manual hardware optimization needed.
#IntelInferenceMicroservices #LLMInference #IntelXeon #vLLM #Kubernetes #Docker #CrescentIsland
https://dailytechnow.com/intel-inference-microservices-xeon/