Dexra sources, deploys and manages the physical compute layer that AI actually runs on — from workstation-class GPUs to full data-center-scale clusters.
Current, hands-on experience across every generation and vendor — not a marketing slide.
Inference & graphics-accelerated workloads
Training and high-throughput inference
Large-scale LLM training and inference (Hopper)
B100 / B200 / GB200 NVL72 — frontier-model scale
A selection of engagements under gpu hardware management. Client names anonymised where required by NDA; metrics are measured post-deployment.
Bring a 4,096-GPU H100 cluster from empty cages to production training capacity in under 120 days to meet a government-backed foundation-model contract.
End-to-end programme: allocation negotiation, 400G InfiniBand fabric design, NVLink/NVSwitch bring-up, Slurm + Kubernetes hybrid scheduling, and burn-in with MLPerf validation.
Bridging capacity between an H100 estate today and a GB200 NVL72 order landing in 9 months, without stalling training runs.
Managed multi-generation fleet (L40S inference, H100 training, staged Blackwell rollout) with automated driver/firmware rollouts and pre-emptible multi-tenant scheduling.
Perception-model training throttled by thermal throttling and inconsistent A100 driver versions across three sites.
Standardised CUDA/driver baseline via Ansible, direct-to-chip liquid retrofit on 640 GPUs, and predictive maintenance from DCGM telemetry.
Scope, timelines, security posture and delivery models — the details buyers and technical leads ask us before signing.
Ask a specific questionVendor selection, capacity planning, rack/power/cooling design, firmware and driver lifecycle, NCCL/InfiniBand tuning, Slurm or Kubernetes scheduling, and 24/7 fleet operations across NVIDIA L40, L40S, H100, H200, GB200 and Blackwell generations.
A validated 256–1,024 GPU pod in 6–10 weeks once hardware lands. Multi-thousand-GPU sovereign clusters typically go production-ready in 12–16 weeks including burn-in and NCCL validation.
MIG partitioning, confidential computing where the silicon supports it, per-tenant VLANs, encrypted checkpoints, and hardware-attested boot. All admin actions are logged to an immutable audit trail.
Design-and-build hand-over, co-managed operations with your platform team, or fully managed GPU-as-a-service with SLA-backed utilisation and job-completion metrics.
Multi-LLM applications, RAG pipelines, agents and evals across OpenAI, Anthropic, Google, Meta, Mistral & xAI.
Learn moreCloud architecture, Kubernetes, IaC and 24/7 SRE-style operations across AWS, Azure and GCP.
Learn moreNative iOS & Android, plus cross-platform delivery — from prototype to App Store release and beyond.
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