Talk to Us Talk to Us From training frontier models to real-time inference and large-scale rendering — NeoCloudz delivers GPU infrastructure purpose-built for modern AI and HPC workloads.
Purpose-built infrastructure for every stage of the AI lifecycle — from first experiment to full production deployment at scale.
Leverage high-performance NVIDIA Blackwell infrastructure with NVLink and InfiniBand networking to train large language models, vision transformers, and multimodal systems at scale. NeoCloudz provides the compute power and I/O bandwidth required to accelerate time-to-results while maintaining cost efficiency. Future-ready for B300 and next-gen architectures.
Deploy high-throughput inference endpoints powered by NVIDIA H200 GPUs. Deliver real-time predictions for LLMs, vision, and multimodal applications — all while reducing latency and optimizing GPU utilization.
Harness the same high-performance GPUs that power AI research to deliver ultra-fast rendering, 3D visualization, and simulation at scale. Perfect for studios, design firms, and research labs requiring compute-intensive graphics workflows.
Empower Innovation with On-Demand GPU Labs. NeoCloudz makes it easy for researchers and educators to explore AI and data science projects without complex setup or infrastructure management. Launch isolated JupyterLab® environments with instant GPU access and pre-installed frameworks.
Every NeoCloudz product is built on the same NVIDIA Blackwell B200 foundation — differentiated by scale, automation, and control level.
Enterprise-grade LLM training and deployment. Build, fine-tune, and serve the world’s largest models on dedicated multi-rack B200 infrastructure with full SLA guarantees and managed MLOps tooling already integrated.
Contact UsOn-demand NVIDIA Blackwell B200 GPUs. AI training, inference, and HPC workloads at any scale. Launch a single GPU or a 256-node cluster — billed per second with no commitments or reservations required.
Contact UsEnd-to-end managed ML services. From data prep to production — we handle the infrastructure, orchestration, and monitoring so your team can focus entirely on model development and business outcomes.
Contact UsWe built NeoCloudz because AI teams deserved better than repurposed cloud infrastructure with unpredictable pricing and shared hardware degrading your performance.
NVIDIA B200 Blackwell GPUs, InfiniBand 400G interconnect, and WEKA all-flash NVMe storage — the fastest AI compute stack available anywhere today.
Tier III U.S. data centers with N+1 redundant power, precision cooling, and a 99.99% SLA backed by real support engineers, not chatbots.
Start with a single GPU. Scale to a multi-rack cluster in seconds. Same API, same tooling, same pricing model — no migration, no re-architecture required.
DigiPowerX energy-optimized power delivery keeps PUE below 1.3 — lower operational carbon footprint without compromising compute density or performance.
Simple per-hour and monthly pricing. No hidden fees, no egress surprises, no legacy hardware buried in your cluster. What you see is exactly what you pay.
Every component of the NeoCloudz stack is sourced from best-in-class partners — no compromises, no substitutions, no surprises.
NeoCloudz is the dedicated AI cloud platform from DigiPowerX and US Data Centers. We own the power, the facility, the servers, and the GPUs — no hyperscaler reselling, no shared-tenancy surprises, no mystery hardware.
No hidden fees. No surprise egress charges. No minimum commitments on entry plans. Pay for exactly what you use, billed per second.
Ideal for prototyping, small-scale training, and experimentation on Blackwell hardware.
Full single-GPU node for developers, startups, and fine-tuning workloads.
Multi-node cluster for training LLMs and enterprise-scale AI workloads.
Monthly commitment for cost predictability. Dedicated capacity, SLA, and priority support included.
Next-generation Blackwell architecture for future-ready AI infrastructure and massive workloads.
Every NeoCloudz facility meets the highest standards for availability, security, and power efficiency.
From research labs to Series C startups — teams that run on NeoCloudz don’t go back to shared hyperscaler infrastructure.
We migrated our LLM fine-tuning pipeline from a major hyperscaler to NeoCloudz in a weekend. Training runs that used to take 14 hours now complete in under 6 — same dataset, same model architecture. The InfiniBand fabric makes all the difference for multi-node all-reduce operations at this scale.
Inference latency went from 38ms to 4.1ms p99 after deploying on NeoCloudz B200 instances. Our product team thought we’d rewritten the model — we just moved the hardware. The Kubernetes-native deployment made the whole migration completely painless for our ops team.
Prototyping a new architecture used to mean waiting days for a cluster reservation. On NeoCloudz I’m running experiments in JupyterLab on a B200 within 60 seconds of login. The one-click environment cloning feature alone has saved our team dozens of engineering hours every single sprint.
Everything you need to know about NeoCloudz GPU solutions before you launch your first job.