Solución empresarial
AI Clusters
Multi-node GPU clusters with InfiniBand networking, parallel storage, and scheduling for distributed training.
From two nodes to multi-rack training clusters
A GPU cluster is more than a pile of servers. We design the fabric, the storage tier, and the scheduling layer so that distributed training actually scales.
- InfiniBand NDR/HDR or Spectrum-X Ethernet fabrics, with topology and subnet planning
- Parallel file systems (Lustre, GPFS, WEKA-class) sized for the ingest rate your models need
- SLURM or Kubernetes scheduling, with multi-tenant isolation where required
- Acceptance testing against NCCL, MLPerf-style and customer benchmarks
Preguntas frecuentes
What AI infrastructure solutions do you provide?
We provide enterprise AI infrastructure solutions including GPU servers, AI clusters, high-performance computing (HPC), AI storage, networking, data center design, deployment, and consulting services.
Which industries do you serve?
We serve healthcare, banking, government, education, manufacturing, oil and gas, telecommunications, retail, logistics, hospitality, research institutions, and enterprise organizations.
Can you design complete AI infrastructure for enterprise workloads?
Yes. We provide end-to-end AI infrastructure planning, including GPU compute, storage, networking, rack design, power planning, cooling considerations, deployment, and ongoing support.
Do you provide GPU servers for AI model training and inference?
Yes. We offer enterprise GPU server solutions designed for AI model training, inference, machine learning, deep learning, scientific computing, and other high-performance workloads.
What lead times should I expect for GPU servers?
Lead times vary by architecture. H100/H200 typically ship in 2–4 weeks, Blackwell B200/B300 in 6–10 weeks, and L40S/L4 in 1–3 weeks. Contact us for current availability.
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Construya su infraestructura de IA con confianza
Hable con nuestro equipo de infraestructura empresarial. Obtenga asesoramiento experto, precios de GPU y un plan de despliegue a medida — sin compromiso.