Files
GenAIExamples/ChatQnA/kubernetes/helm/cpu-tgi-values.yaml
dolpher ee0e5cc8d9 Sync value files from GenAIInfra (#1428)
All gaudi values updated with extra flags.
Added helm support for 2 new examples Text2Image and SearchQnA. Minor fix for llm-uservice.

Signed-off-by: Dolpher Du <dolpher.du@intel.com>
2025-01-22 17:44:11 +08:00

113 lines
2.8 KiB
YAML

# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
# Override CPU resource request and probe timing values in specific subcharts
#
# RESOURCES
#
# Resource request matching actual resource usage (with enough slack)
# is important when service is scaled up, so that right amount of pods
# get scheduled to right nodes.
#
# Because resource usage depends on the used devices, model, data type
# and SW versions, and this top-level chart has overrides for them,
# resource requests need to be specified here too.
#
# To test service without resource request, use "resources: {}".
#
# PROBES
#
# Inferencing pods startup / warmup takes *much* longer on CPUs than
# with acceleration devices, and their responses are also slower,
# especially when node is running several instances of these services.
#
# Kubernetes restarting pod before its startup finishes, or not
# sending it queries because it's not in ready state due to slow
# readiness responses, does really NOT help in getting faster responses.
#
# => probe timings need to be increased when running on CPU.
vllm:
enabled: false
tgi:
enabled: true
# TODO: add Helm value also for TGI data type option:
# https://github.com/opea-project/GenAIExamples/issues/330
LLM_MODEL_ID: meta-llama/Meta-Llama-3-8B-Instruct
# Potentially suitable values for scaling CPU TGI 2.2 with Intel/neural-chat-7b-v3-3 @ 32-bit:
#resources:
# limits:
# cpu: 8
# memory: 70Gi
# requests:
# cpu: 6
# memory: 65Gi
livenessProbe:
initialDelaySeconds: 8
periodSeconds: 8
failureThreshold: 24
timeoutSeconds: 4
readinessProbe:
initialDelaySeconds: 16
periodSeconds: 8
timeoutSeconds: 4
startupProbe:
initialDelaySeconds: 10
periodSeconds: 5
failureThreshold: 180
timeoutSeconds: 2
teirerank:
RERANK_MODEL_ID: "BAAI/bge-reranker-base"
# Potentially suitable values for scaling CPU TEI v1.5 with BAAI/bge-reranker-base model:
resources:
limits:
cpu: 4
memory: 30Gi
requests:
cpu: 2
memory: 25Gi
livenessProbe:
initialDelaySeconds: 8
periodSeconds: 8
failureThreshold: 24
timeoutSeconds: 4
readinessProbe:
initialDelaySeconds: 8
periodSeconds: 8
timeoutSeconds: 4
startupProbe:
initialDelaySeconds: 5
periodSeconds: 5
failureThreshold: 120
tei:
EMBEDDING_MODEL_ID: "BAAI/bge-base-en-v1.5"
# Potentially suitable values for scaling CPU TEI 1.5 with BAAI/bge-base-en-v1.5 model:
resources:
limits:
cpu: 4
memory: 4Gi
requests:
cpu: 2
memory: 3Gi
livenessProbe:
initialDelaySeconds: 5
periodSeconds: 5
failureThreshold: 24
timeoutSeconds: 2
readinessProbe:
initialDelaySeconds: 5
periodSeconds: 5
timeoutSeconds: 2
startupProbe:
initialDelaySeconds: 5
periodSeconds: 5
failureThreshold: 120