NVIDIA B200 & H200 on Bare Metal Servers
Bare-Metal GPU Power. Zero Overhead.
Dedicated bare metal GPU servers with no hypervisor penalty. Full hardware access, NVLink fabric, and InfiniBand networking — purpose-built for the most demanding AI, ML, and HPC workloads.
Latest GPUs
Latest NVIDIA B200, H200, H100, A100 & AMD Instinct GPUs
Custom-Built
Servers Built for your exact workload requirements.
Uptime SLA
Guaranteed Uptime SLA, availability and performance.
Real Human Support
24/7 expert assistance from real engineers—no bots, no delays.
Choose Your Compute Tier
From inference-optimized workhorses to frontier training behemoths — every GPU ships on dedicated bare metal with full PCIe or NVLink fabric access.
NVIDIA B200
Latest
The NVIDIA B200 delivers next-generation acceleration for enterprise-scale AI and HPC workloads.
- Up to 192GB HBM3e Memory
- Up to 8 TB/s Memory Bandwidth
- NVIDIA Blackwell Architecture
- Next-Generation Tensor Cores
NVIDIA H200
Demanding
Built for massive LLM training and ultra-high inference throughput.
- 141GB HBM3e memory
- 4.8 TB/s bandwidth
- NVIDIA Hopper architecture
- 4th Gen Tensor Cores
NVIDIA H100
Most Popular
Industry-leading acceleration for AI training and real-time inference.
- 80GB HBM3 memory
- Up to 3 TB/s bandwidth
- NVIDIA Hopper architecture
- Tensor Cores 528 (4th Gen)
NVIDIA A100
Optimized for large-scale AI training and multi-GPU deployments.
- 40/80GB HBM2e memory
- NVIDIA Ampere architecture
- 3rd Gen Tensor Cores
NVIDIA A40
Designed for AI, rendering, and virtual workstation workloads.
- 48GB GDDR6 memory
- NVIDIA Ampere architecture
- 3rd Gen Tensor Cores
NVIDIA L40S
Powerful for inference, fine-tuning, and AI-driven content creation.
- 48GB GDDR6 memory
- NVIDIA Ada Lovelace architecture
- 4th Gen Tensor Cores
Trusted for Mission-Critical Workloads
Whether you’re launching your first application or operating large-scale global infrastructure, Hostrunway delivers complete hosting solutions to support every stage of growth. From dedicated servers and cloud hosting to GPU servers and high-performance workloads, we provide enterprise-grade performance with the flexibility and speed modern businesses need—backed by real experts, not automated scripts.
No Hypervisor. No Compromise.
Every GPU cycle belongs to your workload. Bare metal eliminates virtualization overhead and delivers the maximum possible hardware utilization for latency-sensitive AI and HPC jobs.
Zero Virtualization Overhead
No hypervisor layer means 100% of GPU memory bandwidth, CUDA cores, and NVLink fabric are available to your workloads — not shared with a VM host process.
Native NVLink & NVSwitch Fabric
Multi-GPU servers ship with full NVLink interconnects delivering up to 900 GB/s GPU-to-GPU bandwidth. Train across 8 H100s as if they were one unified memory pool.
High-Speed Ethernet Networking
Dual 100G Ethernet uplinks provide low-latency RoCE v2 connectivity, enabling efficient NCCL operations like AllReduce, AllGather, and ReduceScatter at near-wire speed.
Single-Tenant Isolation
Your server is yours alone. No noisy neighbors, no shared CPU hosts, no co-tenants on the same PCIe bus. Complete hardware isolation for sensitive workloads and regulated industries.
Fastest Provisioning
Fastest deployment with an IPMI/BMC interface, automated OS imaging, and CUDA driver provisioning — your bare metal node boots ready to handle your workloads.
Full IPMI / BMC Access
Out-of-band management with IPMI 2.0 and dedicated BMC gives you power cycling, serial console access, firmware flashing, and PXE boot capabilities at all times.
Bring Your Own Image
Boot from your custom OS image or choose from our curated stack of optimized AI images — pre-loaded with CUDA, cuDNN, NCCL, PyTorch, and JAX tuned for each GPU SKU.
BGP & Dedicated IPs
Static IPv4 and IPv6 addressing, BGP peering available for enterprise traffic engineering, and private VLAN support for air-gapped or hybrid-cloud cluster topologies.
GPU Telemetry & Monitoring
Real-time DCGM metrics, NVIDIA-SMI dashboards, Prometheus exporters, and Grafana-ready dashboards for GPU utilization, thermal, power draw, and NVLINK health.
Pre-Configured AI-Ready Images
Start training within minutes using our curated OS images tuned for each GPU — drivers, libraries, and frameworks pre-installed and validated on the exact hardware you're running.
CosyVoice
ChatTTs
Ollama
TensorFlow
Keras
Hugging Face
Stable Diffusion
PyTorch
Networking Infrastructure
Built for Distributed Scale
Enterprise-grade networking with dual 100G Ethernet, RoCE v2 RDMA, and optional BGP peering designed to eliminate network bottlenecks in large-scale distributed training and HPC workloads.
🔗 Inter-Node Fabric 100G Ethernet · RoCE v2 RDMA
📡 Intra-Node GPU Link NVLink 4.0 / 900 GB/s
🌐 Public Uplink 10G / 25G Ethernet (per node)
🏠 Private Networking 10G / 25G VLAN isolation
📶 RDMA Support RoCE v2 (RDMA over Ethernet)
🔀 Switch Topology Non-blocking Spine-Leaf
⏱ MPI Latency < 3 µs (MPI_Bcast, RoCE)
🛡 DDoS Protection 1 Tbps scrubbing included
Cluster Topology — 8-Node H100 Pod (100G Ethernet)
Core Switch
Spine · 100G Eth
Spine · 100G Eth
↕
Leaf Switch A
100G Ethernet
100G Ethernet
Leaf Switch B
100G Ethernet
100G Ethernet
↕
Node 1
8× H100
8× H100
Node 2
8× H100
8× H100
Node 3
8× H100
8× H100
Node 4
8× H100
8× H100
↕ NVLink 900 GB/s (intra-node) · RoCE v2 RDMA (inter-node)
NCCL AllReduce
Ring / Tree
Ring / Tree
High-Throughput Storage Architecture
Choose the right storage tier for your workload — from local NVMe scratch for maximum checkpoint throughput to shared parallel filesystems for distributed dataset access.
Local NVMe RAID
Up to 30+ GB/s Sequential Read
Directly attached NVMe SSDs in RAID-0 or RAID-5 for ultra-low latency checkpoint I/O and dataset caching. Up to 30 TB per node. Ideal for AI & ML training jobs with frequent gradient checkpointing from Hostrunway.
Parallel NFS / Lustre
Up to 100 GB/s Aggregate Throughput
Shared POSIX-compliant parallel filesystems mounted across your entire cluster. Petabyte-scale capacity for shared datasets, model weights, and collaborative experiment storage with file-level access.
Object Storage (S3-Compatible)
Unlimited Capacity · S3 API
Exabyte-capable S3-compatible object storage integrated directly in our data center fabric. Sub-millisecond latency for dataset streaming, model artifact versioning, and long-term checkpoint archival.
Use Cases
Built for Every AI Workload
Whether you're training frontier models, running real-time inference, rendering VFX, or solving computational simulations — we have the right configuration.
Large Language Model Training
Train GPT, LLaMA, Mistral, and custom transformer architectures on dedicated multi-GPU nodes. Our H100 and H200 clusters are optimized for tensor-parallel, pipeline-parallel, and data-parallel training strategies.
- 8× H100 SXM5 nodes with full NVLink 4th-gen fabric (900 GB/s intra-node GPU-to-GPU)
- NCCL-tuned RoCE v2 (RDMA over Converged Ethernet) for efficient inter-node gradient synchronization
- Supports DeepSpeed ZeRO-3, Megatron-LM, and FSDP out of the box
- High-throughput NVMe scratch storage for checkpoint streaming at 30+ GB/s
- Pre-configured with Flash Attention, Triton kernels, and mixed-precision training
train.sh — hostrunway-h100-8x
$ nvidia-smi topo -m
GPU0 GPU1 GPU2 ... GPU7
NV4 NV4 NV4 ... NV4 ← NVLink 4th Gen
$ torchrun --nproc_per_node=8 train_llm.py \
--model llama3-70b \
--batch-size 512 \
--precision bf16
✓ Throughput: 42,800 tokens/sec
✓ GPU Util: 97.3% across all 8 GPUs
✓ Memory: 78.4 GB / 80 GB used
Expert Support at Every Tier
GPU infrastructure has quirks. Our team includes former ML engineers, HPC system administrators, and NVIDIA-certified architects available around the clock.
Community Support
Access our Slack community, public documentation, runbooks, and self-service API portal. Best for hobbyist and research workloads on inference-tier nodes.
Priority Engineering Support
24/7 access to GPU infrastructure engineers via Slack and ticketing. Guaranteed 1-hour P1 response. Included on all H100 and H200 bare metal deployments.
Enterprise Dedicated CSM
A named Customer Success Manager, dedicated SRE coverage, architectural review sessions, runbook co-development, and on-call escalation paths for mission-critical clusters.
Security & Compliance
SOC 2 Type II certified infrastructure. HIPAA-compliant configurations available. Private network cages, hardware-level isolation, and optional FIPS 140-2 cryptographic modules on request.
API & Terraform Provider
Fully-featured REST API and an official Terraform provider for infrastructure-as-code deployments. Integrate with your existing CI/CD pipelines, GitOps workflows, and Kubernetes operators.
Monitoring & Observability
Built-in Prometheus metrics, Grafana dashboards, DCGM GPU telemetry, and alerting integrations with PagerDuty, OpsGenie, and Slack. Full observability stack included at no extra cost.
Let’s Build Your GPU Infrastructure
Ready to Deploy?
Send us your requirements, and we’ll build a high-performance GPU configuration tailored to your industry, workload, and budget.
From startups to enterprises — we power global growth.
Talk to Real Experts
Tell us your challenges — our team will help you find the perfect solution.
Email: sales@hostrunway.com
Choose the Right GPU for Your Needs
Selecting the right GPU depends on your performance goals, workload scale, and budget. Whether you need NVIDIA H200 for massive AI models, H100 for advanced training and inference, A100 for proven enterprise AI, or GPUs optimized for rendering and visualization, Hostrunway offers dedicated and cloud options to match your exact requirements.
Gaming, 3D Rendering, Simulations & VR-Ready GPUs
Hostrunway delivers high-performance GPU servers for gaming engines, 3D rendering, simulations, and VR applications—powered by enterprise NVIDIA GPUs.
-
NVIDIA RTX 4090
4K gaming engines & real-time ray tracing
-
NVIDIA L40S
AI-driven rendering & virtual production
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NVIDIA A40
Professional visualization & CAD
-
NVIDIA RTX 3080
Video editing & creative workloads
Whether you're into competitive gaming or immersive open-world experiences, a gaming GPU will ensure you get the most out of your games.
AI, Machine Learning & Mining GPUs
Hostrunway delivers enterprise GPU servers built for AI training, inference, and high-performance computing workloads.
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NVIDIA H200
Best for massive LLM training and large-scale AI deployments.
-
NVIDIA H100
Ideal for advanced AI training and real-time inference.
-
NVIDIA A100
Proven performance for deep learning and enterprise AI workloads.
-
NVIDIA L40S
Optimized for AI inference, fine-tuning, and creative AI tasks.
If you're looking to speed up training and inference times in AI, choosing a GPU built for parallel processing will significantly enhance your productivity.
NVIDIA A100: Frequently Asked Questions
Get quick answers to the most common questions about the NVIDIA A100 GPU. Learn how its advanced memory, Ampere architecture, multi-GPU support, and enterprise-ready design accelerate AI training, inference, and high-performance computing workloads.
What is the difference between bare metal and a GPU VM?
A bare metal server gives you direct, exclusive access to physical GPU hardware — no hypervisor, no virtualization overhead. This means 100% of GPU VRAM, compute, and interconnect bandwidth is available to your workload. GPU VMs share physical hardware and introduce virtualization layers that can reduce memory bandwidth by 10–30% and increase MPI latency, which is critical in distributed training.
How quickly can I provision a bare metal GPU server?
Most configurations provision in under 5 minutes from API call to SSH-ready. Larger multi-node clusters with custom images may take time. We use automated IPMI-based imaging with pre-cached OS images, GPU driver packs, and CUDA libraries — no manual datacenter intervention required.
Can I run Kubernetes or Docker on bare metal GPU servers?
Yes. All our bare metal servers support Docker with the NVIDIA Container Toolkit (nvidia-docker2), and you can install any Kubernetes distribution (k3s, kubeadm, Rancher). We also offer pre-built images with k8s + GPU Operator pre-installed. Multi-node GPU clusters can be joined into a single k8s cluster using our private VLAN interconnect.
What networking options are available between nodes?
We do not have Inifiniband yet - only Ethernet-based network (it is on the roadmap and we could potentially look for a solution at the moment in private racks. It is in pipeline. It will take a couple of months.
Is there a minimum commitment or contract required?
No minimum commitment for on-demand deployments — you can deploy and terminate by the hour. For reserved pricing (up to 40% discount), we offer 1-month and 3-month reserved contracts billed monthly. Enterprise clusters have custom terms. You can mix on-demand and reserved nodes in the same account.
Do you support AMD GPUs and ROCm?
Yes. We offer AMD Instinct MI300X nodes with ROCm 6.x pre-installed. These are particularly attractive for workloads requiring large unified memory (up to 192 GB per GPU) and for teams using PyTorch with the ROCm backend. RCCL (ROCm NCCL equivalent) is pre-configured for multi-GPU and multi-node collective operations.
What storage options are available?
Storage options are available on Hostrunway's GPU are:
- NVMe Gen4 SSD
- RAID configurations
- High-capacity SSD
- Optional object storage integration
What network speeds do you provide?
Hostrunway GPU servers include:
- 1Gbps to 10Gbps uplink (location dependent)
- Low-latency routing
- 160+ global deployment locations
Can I deploy multiple GPUs in one server?
Yes. We offer:
- 1x GPU
- 2x GPU
- 4x GPU
- 8x GPU configurations (based on availability)
Do you support Kubernetes with GPU nodes?
Yes. Hostrunway supports:
- GPU-enabled Kubernetes clusters
- NVIDIA device plugin integration
- Horizontal scaling support
Are the GPUs dedicated or shared?
All Hostrunway GPU servers provide dedicated GPUs (bare metal or dedicated VM). We do not oversell or share GPU resources unless explicitly labeled as shared GPU plans.
Do you provide multi-GPU clustering support?
Yes. Hostrunway supports multi-node GPU clusters with high-speed interconnect for distributed training using frameworks like PyTorch DDP, Horovod, and DeepSpeed.
What Customer Say About Us
At Hostrunway, we measure success by the success of our clients. From fast provisioning to dependable uptime and round-the-clock support, businesses worldwide trust us. Here’s what they say.
James Miller
USA – CTOHostrunway has delivered an exceptional hosting experience. The server speed is consistently high and uptime is solid. Highly recommended!
Ahmed Al-Sayed
UAE – Head of InfrastructureOutstanding reliability, fast response times, and secure servers. Onboarding was smooth and support is amazing.
Carlos Ramirez
Mexico – CEOLightning-fast servers and great support team. Secure, stable, and enterprise-ready hosting.
Sofia Rossi
Italy – Product ManagerStrong hosting partner! Fast, secure servers and real-time assistance from their tech team.
Linda Zhang
Singapore – Operations DirectorExcellent performance, great scalability, and proactive support. Perfect for enterprises.
Oliver Schmidt
Germany – System ArchitectPowerful servers, flawless uptime, and top-tier support. Great value for enterprise hosting.
