GPU Server Hosting

GPU Server Hosting — H100, A100, and RTX PRO Servers on Demand

Not every organization wants to build and maintain its own GPU infrastructure. Petronella Technology Group, Inc. provides managed GPU server hosting from our Raleigh, North Carolina datacenter—delivering dedicated NVIDIA H100, A100, L40S, and RTX PRO 6000 Blackwell servers with the reliability, security, and hands-on support that hyperscale cloud providers cannot match. Whether you need a single inference server or a multi-GPU training cluster, our hosting eliminates the capital expenditure, facility requirements, and operational overhead of running GPU hardware yourself while keeping your data under your control and your costs predictable.

919-348-4912 Get a GPU Hosting Quote

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Dedicated GPU Servers

No shared tenancy, no noisy neighbors, no GPU time-slicing. Your server is physically dedicated to your workloads with guaranteed VRAM, compute, and memory bandwidth. You get root access and full control over the software stack, exactly as if the hardware sat in your own server room.

Security & Compliance

Physical security, network segmentation, encrypted storage, and compliance documentation that satisfies HIPAA, SOC 2, and CMMC requirements. Our cybersecurity expertise means your GPU hosting environment meets regulatory standards that hyperscale providers leave to you to configure and verify.

Predictable Monthly Costs

Fixed monthly pricing with no egress fees, no API surcharges, no surprise bills when training runs take longer than expected. You know exactly what GPU hosting costs every month, making budgeting straightforward for finance teams that struggle with variable cloud GPU billing.

Engineer-Level Support

Direct access to infrastructure engineers who understand GPU workloads, CUDA optimization, driver management, and AI framework deployment. No tier-1 help desk scripts. When your training job fails at 3 AM, you reach a human who can diagnose GPU memory errors, driver conflicts, and thermal events.

GPU Server Hosting That Bridges Cloud and On-Premises

A Third Path Beyond Cloud and On-Premises

The GPU compute market presents organizations with an uncomfortable choice: pay hyperscale cloud premiums for flexibility, or invest six figures in hardware that sits in your server room demanding power, cooling, and operational attention. Petronella Technology Group, Inc. offers a third path—managed GPU server hosting that eliminates capital expenditure and facility requirements while delivering the dedicated hardware, predictable costs, and data control that cloud GPU instances lack. Your server runs in our datacenter in Raleigh, North Carolina with redundant power, enterprise cooling, and network connectivity, managed by engineers who operate the same class of GPU infrastructure for our own AI workloads.

Bare-Metal Performance vs. Cloud Virtualization

Our hosting model differs fundamentally from hyperscale cloud GPU instances. AWS, Google Cloud, and Azure allocate GPU time on shared infrastructure using virtualization layers that add latency and prevent low-level GPU access. Reserved instances lock you into 1 to 3-year commitments at prices that still exceed dedicated hosting costs. Spot instances offer savings but can terminate your training run with 2 minutes notice. Our dedicated GPU servers provide bare-metal performance with no virtualization overhead, no time-sharing, and no risk of preemption. You get root access to the operating system, direct GPU driver control, and the ability to run any software stack—including custom CUDA kernels, experimental drivers, and proprietary inference engines that cloud providers restrict.

Data Sovereignty and Compliance Assurance

Data sovereignty is the deciding factor for many organizations. Healthcare companies processing patient data under HIPAA cannot risk that data traversing cloud provider networks or sitting on shared storage systems. Defense contractors handling CUI under CMMC requirements need documented physical security controls and data handling procedures. Financial services firms face data residency requirements that limit where processing occurs. Our datacenter hosting provides physical security, documented access controls, network isolation, and compliance documentation that satisfies auditors—backed by our 23+ years of cybersecurity and compliance expertise. Your data stays in our facility, on your dedicated hardware, under your control.

Dedicated Hosting Economics vs. Cloud GPU Pricing

The economics favor dedicated GPU hosting for any sustained workload. An NVIDIA A100 80GB instance on AWS (p4de.24xlarge) costs approximately $40.97 per hour on-demand, totaling $29,498 monthly at full utilization. A 1-year reserved instance reduces this to approximately $22,000 monthly. Our dedicated A100 server hosting starts at a fraction of that monthly cost, with no upfront commitment, no egress fees for downloading model artifacts or training data, and no API charges for GPU compute. For organizations running GPU workloads 40+ hours per week, the hosting cost savings fund themselves within the first month.

Enterprise Monitoring and Infrastructure

Our datacenter infrastructure backs every hosted server with redundant power feeds, N+1 cooling, 10Gbps network connectivity with optional burst to 100Gbps, and 24/7 physical security with access logging. We monitor every server with Prometheus and Grafana—tracking GPU utilization, memory usage, thermal profiles, power consumption, and storage health. Alerts trigger proactive intervention before hardware issues impact your workloads. This is the same monitoring infrastructure we use for our own production AI systems, including our ptg-rtx server (96-core EPYC + 3x RTX PRO 6000 = 288GB VRAM) and DGX Spark cluster.

GPU Server Options: From Inference to Large-Scale Training

Inference Servers: RTX 5090 and RTX PRO 6000

Our GPU server hosting portfolio covers the full spectrum of AI compute requirements. For inference serving and model deployment, single-GPU or dual-GPU servers with RTX 5090 (32GB GDDR7, 1,792 GB/s bandwidth) or RTX PRO 6000 Blackwell (96GB GDDR7) deliver exceptional tokens-per-second throughput at predictable monthly costs. These servers run vLLM, TensorRT-LLM, Triton Inference Server, or custom inference frameworks with dedicated bandwidth and no shared-tenancy performance variability. A single RTX 5090 can serve quantized 30B parameter models at production latency targets, while an RTX PRO 6000 handles 70B+ parameter models without quantization.

Multi-GPU Training Servers: A100, H100, and H200

For training workloads that demand more compute than workstation-class GPUs provide, we host multi-GPU servers with NVIDIA A100 (40GB/80GB HBM2e), H100 (80GB HBM3e), L40S (48GB GDDR6X), and H200 (141GB HBM3e) accelerators. Multi-GPU training configurations include NVLink interconnects for GPU-to-GPU communication at up to 900 GB/s per link, NVSwitch fabric for all-to-all connectivity in 8-GPU configurations, and InfiniBand or RoCE networking for multi-server distributed training. These servers train models from scratch, fine-tune foundation models on proprietary data, or run batch processing workloads that require sustained GPU compute for days or weeks at a time.

Burst Capacity for Intermittent Training Sprints

Burst capacity addresses the common pattern where organizations need significant GPU compute intermittently. Training a new model version might require 8 H100 GPUs for 2 weeks per quarter, but maintaining that infrastructure year-round wastes 85% of the investment. Our burst hosting model provides reserved baseline capacity for daily inference and development workloads with the ability to add GPU servers for training sprints without long-term commitments. This hybrid approach captures the economics of dedicated hosting for steady-state workloads while providing cloud-like elasticity for peak demand periods.

GPU Server Hosting Plans and Capabilities

Dedicated Inference Servers

Single or dual-GPU servers optimized for production AI inference serving. Options include RTX 5090 (32GB, ideal for quantized models up to 30B parameters), RTX PRO 6000 Blackwell (96GB, for full-precision 70B+ models), L40S (48GB, enterprise-validated), and A100 (80GB, HBM bandwidth for latency-sensitive workloads). Preconfigured with vLLM, TensorRT-LLM, Triton, or your preferred inference engine. Includes API endpoint provisioning, SSL certificates, load balancing, and uptime SLAs. See our AI inference hosting services for fully managed model deployment.

Multi-GPU Training Servers

Servers with 2 to 8 GPUs connected via NVLink for high-bandwidth training of large models. H100 SXM5 configurations with NVSwitch enable all-to-all GPU communication at 900 GB/s per link. Available with AMD EPYC or Intel Xeon Scalable processors providing 128+ PCIe lanes, 512GB to 2TB ECC memory, and NVMe RAID arrays for checkpoint storage. Configured with your training framework (PyTorch, DeepSpeed, Megatron-LM, Hugging Face Accelerate) and optimized NCCL settings. Ideal for fine-tuning foundation models, training domain-specific architectures, and running hyperparameter search campaigns.

GPU Colocation

Bring your own GPU servers and host them in our datacenter with enterprise power, cooling, network connectivity, and physical security. We provide rack space with dedicated 30A to 50A power circuits, redundant cooling, 10Gbps network connectivity (burstable to 100Gbps), and optional remote hands support. IPMI/BMC access lets your team manage hardware remotely while our facility provides the infrastructure that GPU-dense servers demand. Colocation eliminates the facility upgrades most organizations need to support the power and cooling requirements of modern GPU servers.

Managed GPU Clusters

Multi-server GPU clusters with managed networking, storage, and orchestration. We deploy Kubernetes with NVIDIA GPU Operator for container-based GPU scheduling, shared NFS or Ceph storage for datasets and model artifacts, InfiniBand or RoCE networking for distributed training, and monitoring via Prometheus and Grafana. Cluster management includes node health monitoring, GPU driver updates, security patching, capacity planning, and scaling guidance. For organizations building AI platforms that serve multiple teams or projects, managed clusters provide the infrastructure foundation without the operational overhead of running it yourself.

Burst Capacity and Flexible Scaling

Add GPU servers for training sprints, product launches, or seasonal demand without long-term commitments. Reserved baseline servers handle daily inference and development at fixed monthly cost. Additional GPU capacity is available on demand for periods ranging from 1 week to 6 months, with data pre-staging and network connectivity configured before your training run begins. This hybrid model captures dedicated hosting economics for 80% of compute hours while retaining elasticity for peak demand—at costs significantly below cloud GPU on-demand pricing.

Compliant GPU Hosting for Regulated Industries

GPU hosting environments configured for organizations subject to HIPAA, SOC 2, CMMC, PCI DSS, or ITAR regulations. Our cybersecurity expertise ensures compliant configurations from the infrastructure level: physically isolated rack sections, network segmentation with firewall rules, encrypted storage at rest and in transit, access logging and audit trails, vulnerability scanning, and documented security controls. We provide the compliance documentation your auditors require—system security plans, network diagrams, access control matrices, and evidence collection procedures—because we have been building and defending compliant infrastructure for 23+ years.

24/7 Monitoring and Proactive Management

Every hosted server is monitored continuously via our Prometheus and Grafana infrastructure, tracking GPU utilization, VRAM usage, thermal profiles, power draw, fan speeds, storage health, network throughput, and process-level metrics. Automated alerts detect GPU memory errors, thermal throttling, storage degradation, and abnormal power consumption before they impact your workloads. Our engineering team responds to alerts with direct action—not escalation to a vendor. Monthly health reports provide capacity utilization trends and upgrade recommendations as your GPU compute requirements evolve.

Getting Started With GPU Server Hosting

Requirements Consultation

We analyze your AI workloads—model architectures, training schedules, inference throughput targets, data sensitivity, and compliance requirements. This consultation determines the optimal server configuration, GPU selection, storage capacity, network connectivity, and hosting plan. You receive a detailed proposal with monthly pricing, performance projections, and a comparison against equivalent cloud GPU costs.

Server Provisioning & Configuration

We build or allocate your dedicated server, install the operating system and AI software stack, configure network connectivity and security controls, and validate GPU performance through burn-in testing. For managed hosting, we set up monitoring, backup procedures, and alerting. For colocation, we prepare the rack space, power circuits, and network drops for your hardware arrival.

Data Migration & Deployment

We assist with secure data transfer to your hosted environment—whether that means direct network file transfer, encrypted physical media shipping, or VPN tunnel establishment for ongoing data synchronization. Model deployments, container registries, and CI/CD pipeline integration are configured to your specifications. We verify end-to-end functionality with your AI workloads before declaring the environment production-ready.

Ongoing Operations & Support

Your hosted environment is monitored 24/7 with proactive alerting and direct engineer support. Monthly health reports track GPU utilization, performance trends, and capacity planning recommendations. We handle OS patching, driver updates, and security maintenance on your schedule. When your requirements evolve—more GPUs, additional storage, network upgrades, or new server configurations—we scale your hosting environment without disrupting active workloads.

Why Choose Petronella Technology Group, Inc. for GPU Server Hosting

We Run GPU Infrastructure Daily

Our own datacenter operates the same class of GPU servers we host for clients: ptg-rtx (96-core EPYC + 3x RTX PRO 6000 Blackwell = 288GB VRAM), DGX Spark clusters (spark1, spark2), and multi-GPU development machines. We understand GPU infrastructure because we depend on it ourselves—not because we read a data sheet and started reselling rack space.

Cybersecurity Is Our Core Business

Most hosting providers offer security as an add-on. We are a cybersecurity firm that offers GPU hosting. Network segmentation, access controls, encryption, compliance documentation, and incident response procedures are built into every hosting environment from the beginning. Your hosted GPU server meets HIPAA, CMMC, and SOC 2 requirements because we designed the infrastructure to satisfy those standards.

No Egress Fees, No Surprises

Download your trained models, export your datasets, retrieve your checkpoints—without paying per-gigabyte egress fees. Cloud GPU providers charge $0.09 to $0.12 per GB for data leaving their network, which adds thousands of dollars monthly for organizations regularly moving large model artifacts. Our hosting includes unlimited data transfer at no additional cost.

Raleigh, NC Datacenter

Your GPU servers run in our Raleigh, North Carolina datacenter with redundant power, enterprise cooling, and multi-carrier network connectivity. Local hosting provides low-latency access for Research Triangle organizations, satisfies data residency requirements, and enables physical access for teams that need to inspect their hardware. Our facility supports the power density that GPU servers demand—30A to 50A circuits per rack with dedicated cooling capacity.

Engineer Support, Not Help Desk Scripts

When you contact support, you reach an infrastructure engineer who understands GPU architecture, CUDA debugging, driver compatibility, and AI framework deployment. No tier-1 scripts, no 48-hour ticket queues, no escalation chains. The engineer who provisioned your server is the same person who troubleshoots it, with full context on your specific configuration and workloads.

23+ Years of Infrastructure Trust

Petronella Technology Group, Inc. has served 2,500+ businesses across Raleigh, Durham, and the Research Triangle since 2002. BBB A+ accredited since 2003. Our GPU server hosting services build on two decades of datacenter operations, infrastructure management, and client trust. We will be here to support your GPU hosting next year and the year after—a stability that matters when your AI infrastructure is mission-critical.

GPU Server Hosting FAQs

How much does GPU server hosting cost?

GPU server hosting pricing depends on GPU model, quantity, and service level. Single-GPU inference servers with RTX 5090 start at competitive monthly rates significantly below equivalent cloud instances. Multi-GPU H100 training servers are priced based on configuration complexity and support level. All plans include unlimited data transfer (no egress fees), 24/7 monitoring, and direct engineer support. We provide transparent quotes after understanding your workload requirements—no hidden fees, no surprise charges for GPU compute time or API calls.

How does your GPU hosting compare to AWS, GCP, or Azure GPU instances?

Our hosting provides dedicated bare-metal GPU servers with no virtualization overhead, no shared tenancy, no egress fees, and predictable monthly pricing. Cloud GPU instances offer elastic scaling but at premiums of 3x to 10x compared to dedicated hosting for sustained workloads. Cloud reserved instances reduce costs but lock you into 1 to 3-year commitments to specific instance types. Our hosting offers month-to-month flexibility with dedicated performance and data sovereignty that cloud providers cannot match at comparable price points.

What GPU options are available for hosting?

We host servers with NVIDIA RTX 5090 (32GB GDDR7), RTX PRO 6000 Blackwell (96GB GDDR7), L40S (48GB GDDR6X), A100 (40GB/80GB HBM2e), H100 (80GB HBM3e), and H200 (141GB HBM3e). Configurations range from single-GPU inference servers to 8-GPU NVLink/NVSwitch training clusters. We also host NVIDIA DGX Spark (GB10 + 128GB unified memory) for compact inference deployments. GPU selection depends on your workload: inference-optimized, training-optimized, or hybrid configurations that handle both workload types.

Do I get root access to the hosted server?

Yes. All dedicated GPU servers include full root access via SSH. You control the operating system, software stack, GPU drivers, container runtime, and any custom configurations. IPMI/BMC access is available for remote hardware management including power cycling and console access. For managed hosting plans, we handle OS patching, driver updates, and security maintenance while you retain full access to install and configure your AI applications and frameworks.

Is your GPU hosting HIPAA and CMMC compliant?

Yes. As a cybersecurity firm with deep compliance expertise, we configure GPU hosting environments that satisfy HIPAA, SOC 2, CMMC, PCI DSS, and ITAR requirements. This includes physically isolated infrastructure, network segmentation, encrypted storage, access controls with audit logging, vulnerability management, and comprehensive documentation. We provide the evidence packages and system security plan documentation that your compliance officers and external auditors require, because we have been building compliant infrastructure for defense contractors, healthcare organizations, and financial services firms for over two decades.

What happens if a GPU fails?

Our monitoring detects GPU memory errors, thermal throttling, and performance degradation proactively. When a GPU failure occurs, we replace the component using on-site spares inventory—typically within 4 to 8 hours for standard hosting plans, with priority replacement SLAs available. For high-availability configurations, your workload automatically fails over to healthy GPUs while the failed component is replaced. We maintain spare GPU inventory for all hosted configurations to minimize downtime impact on your AI workloads.

Can I bring my own GPU server for colocation?

Yes. Our colocation service provides rack space, power (30A to 50A dedicated circuits), cooling capacity rated for GPU-dense servers, 10Gbps network connectivity, and physical security for your own hardware. We coordinate receiving, rack installation, and network provisioning. Optional remote hands support handles physical tasks like cable changes, drive replacements, and hardware diagnostics. Colocation is ideal for organizations that have invested in GPU hardware but lack the facility infrastructure to support high-power, high-heat AI servers.

What is the minimum commitment period?

Our standard hosting plans operate on a month-to-month basis with no long-term commitment required. We offer discounted rates for 6 and 12-month terms for organizations that prefer predictable annual budgeting. Burst capacity servers are available for periods as short as 1 week. We believe our hosting quality and support earn your continued business—we do not rely on contract lock-in to retain clients.

Ready to Host Your GPU Servers With Experts?

Stop overpaying for cloud GPU instances and stop struggling with the facility requirements of on-premises GPU infrastructure. Petronella Technology Group, Inc. provides managed GPU server hosting from our Raleigh, North Carolina datacenter—dedicated NVIDIA hardware, predictable monthly pricing, zero egress fees, cybersecurity-hardened infrastructure, and direct engineer support. From single inference servers to multi-GPU training clusters, every hosting plan includes 24/7 monitoring and the compliance controls your industry demands.

Schedule a consultation to discuss your GPU compute requirements, review server configurations and pricing, and see how our hosting compares to your current cloud GPU costs.

Call 919-348-4912 Get a GPU Hosting Quote

Serving 2,500+ Businesses Since 2002 | BBB A+ Rated Since 2003 | Raleigh, NC

Recommended Reading: Explore our Custom AI Server builds — if you prefer owning your GPU hardware outright, we design and build servers optimized for your exact workloads.