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TensorFlow

TensorFlow es la plataforma de deep learning de referencia en la industria. Su motor heterogéneo –capaz de escalar de un portátil a clústeres de TPU de más de un petaflop– y su amplia comunidad convierten al framework en la opción preferida para proyectos que exigen precisión, rendimiento y gobernanza.

Desde 2016 Itrion ha construido, auditado y operado 328 modelos TensorFlow en producción, abarcando casos de visión artificial, NLP, audio, tabular y series temporales. Gestionamos 2,3 PB de datos bajo un pipeline TFX + Kubeflow y servimos 18,4 mil M predicciones anuales con SLA 99,9 %.

Speed‑up con TPU v4

Benchmarks internos: ResNet‑50 a 10 k img/s.

98 %

Uptime inferencia

Monitoreado con Prometheus + Grafana.

42 %

Ahorro de cómputo

Tras optimizar kernels y quantizar.

0

Rollbacks 2022‑2025

Canary + blue‑green desplegado.

Capacidades técnicas destacadas

Distribuido

Estrategias MultiWorker & Parameter‑Server

Hasta 512 GPU o 256 TPU v4 con sincronización asincrónica y pipelines tf.data paralelizados.

Portátil

TF Lite & Micro controlador

Modelos cuantizados int8 para dispositivos ARM Cortex‑M con 256 kB RAM, consumo <40 mA.

Explainable AI

Integración SHAP + tf‑explain

Dashboards interactivos que muestran grad‑CAM, LIME y valores SHAP para inspecciones regulatorias.

Governance

Auditoría IA Act UE

Plantillas de Impact Assessment, logging de evidencias y versionado de datasets conforme a ISO 42001.

Workflow TensorFlow by Itrion

1. Ingesta & Feature Store

Pipeline Beam + Pub/Sub, validación automática con TFDV y registro en Feast.

2. Entrenamiento paralelo

Búsqueda de hiperparámetros con KerasTuner, estrategia PSS y programación de lotes adaptativa.

3. Validación estricta

Tests de regresión, análisis de sesgo demográfico y trazabilidad con MLflow + Evidently.

4. Despliegue canario

TensorFlow Serving en KServe, rollout 5‑50‑100 y métricas SLO en Prometheus.

5. Monitorización continua

Alerta de drift & latencia, retraining programado y dashboards en Grafana.

Fortalezas exclusivas de Itrion

Nuestros ingenieros compilan TensorFlow desde fuente con flags AVX‑512 y cuDNN 8.9, integran kernels FusSSD y aplican graph rewriting para fusionar capas. Esto se traduce en un aumento promedio del 28 % en throughput respecto a la build oficial de PyPI.

Hemos lanzado dispositivos médicos Clase IIa con modelos cuantizados int8 que corren <2 W; realizamos validación clínica, generación de documentación CE MDR y ensayos de stress térmico.

Nuestro stack GitOps despliega pipelines idénticos en AWS EKS, GKE y OpenShift on‑prem con ArgoCD, lo que evita bloqueos de proveedor y facilita auditorías.

Disponemos de plantillas de Risk Assessment, procesos de conformity assessment y generamos logs de evidencias listos para revisión por autoridades competentes.

Razones de peso

  1. Velocidad: MVP en ≤6 semanas gracias a plantillas pre‑validadas.
  2. Coste: reducción 42 % del gasto en cómputo tras optimizar kernels.
  3. Confiabilidad: Rollbacks cero desde 2022, SLA 99,9 %.
  4. Escalabilidad: Arquitectura probada para >1 B solicitudes/mes.

“Itrion redujo nuestro tiempo de entreno ResNet‑152 de 10 h a 74 min y desplegó inferencia GPU con latencia 8 ms, todo certificado ISO 27001.”

Director de I+D, empresa de fabricación avanzada

TensorFlow is the industry reference deep learning platform. Its heterogeneous engine – capable of scaling from a laptop to TPU clusters exceeding one petaflop – and its broad community make the framework the preferred choice for projects demanding precision, performance, and governance.

Since 2016 Itrion has built, audited, and operated 328 TensorFlow models in production, covering computer vision, NLP, audio, tabular, and time series cases. We manage 2.3 PB of data under a TFX + Kubeflow pipeline and serve 18.4 billion annual predictions with 99.9% SLA.

Speed‑up with TPU v4

Internal benchmarks: ResNet‑50 at 10k img/s.

98 %

Inference uptime

Monitored with Prometheus + Grafana.

42 %

Compute savings

After kernel optimization and quantization.

0

Rollbacks 2022–2025

Canary + blue‑green deployed.

Key technical capabilities

Distributed

MultiWorker & Parameter‑Server strategies

Up to 512 GPUs or 256 TPU v4 with asynchronous synchronization and parallelized tf.data pipelines.

Portable

TF Lite & Microcontroller

Int8 quantized models for ARM Cortex-M devices with 256 kB RAM, <40 mA power consumption.

Explainable AI

SHAP + tf-explain integration

Interactive dashboards showing grad-CAM, LIME, and SHAP values for regulatory inspections.

Governance

EU AI Act auditing

Impact Assessment templates, conformity assessment processes, and evidence logs ready for authority review.

TensorFlow Workflow by Itrion

1. Ingest & Feature Store

Beam pipeline + Pub/Sub, automated validation with TFDV, and registry in Feast.

2. Parallel training

Hyperparameter search with KerasTuner, PSS strategy, and adaptive batch scheduling.

3. Strict validation

Regression tests, demographic bias analysis, and traceability with MLflow + Evidently.

4. Canary deployment

TensorFlow Serving on KServe, 5‑50‑100 rollout and SLO metrics in Prometheus.

5. Continuous monitoring

Drift & latency alerting, scheduled retraining, and dashboards in Grafana.

Exclusive strengths of Itrion

Our engineers compile TensorFlow from source with AVX‑512 and cuDNN 8.9 flags, integrate FusSSD kernels and apply graph rewriting to fuse layers. This results in an average 28% throughput increase over the official PyPI build.

We have launched Class IIa medical devices with int8 quantized models running <2 W; performed clinical validation, CE MDR documentation generation, and thermal stress testing.

Our GitOps stack deploys identical pipelines on AWS EKS, GKE, and OpenShift on-prem with ArgoCD, avoiding vendor lock-in and facilitating audits.

We provide Risk Assessment templates, conformity assessment processes, and generate evidence logs ready for authority review.

Strong reasons

  1. Speed: MVP in ≤6 weeks thanks to pre-validated templates.
  2. Cost: 42% compute cost reduction after kernel optimizations.
  3. Reliability: Zero rollbacks since 2022, 99.9% SLA.
  4. Scalability: Proven architecture for >1 billion requests/month.

“Itrion reduced our ResNet-152 training time from 10 h to 74 min and deployed GPU inference with 8 ms latency, all ISO 27001 certified.”

R&D Director, advanced manufacturing company
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