Run AI Workloads on the Right Infrastructure
Your AI workload shouldn’t have to squeeze into a generic cloud instance. Summit matches it to the right hardware, dedicated bare metal GPUs, dedicated servers, or private cloud, sized for the way it runs. For heavy training and sustained inference, dedicated NVIDIA H200, H100, and L40S come in well under cloud GPU pricing at scale.
Cloud GPU Pricing Was Built to Meter You
Hourly GPU instances are convenient for a weekend prototype. Run sustained training or production inference and the economics turn against you fast.
Bills Scale Faster Than You Do
Hourly metering looks cheap in a demo. Sustained workloads push the monthly invoice well past the cost of owning the same performance outright.
Capacity You Can’t Count On
Popular instance types sell out for weeks. Spot capacity disappears mid-run, and reservations charge a premium for the privilege of waiting.
Virtualization Taxes Every Watt
Shared hosts and hypervisor layers sit between your model and the silicon. Noisy neighbors and overhead leave measurable performance on the table.
Lock-In by Design
Egress fees, proprietary services, and opaque pricing make it costly to leave once your data and pipelines live inside one provider.
Match the Model to Your Workload
What you need depends on how your workload runs, not only where it lives. Here’s how the common AI workloads map to each Summit option.
Bare Metal, GPU-Enabled
Run heavy, always-on AI workloads that need maximum performance and control.
Dedicated Servers
A solid starting point for AI when you need real hardware, but not at massive scale yet.
Private Cloud
Build and test AI when flexibility matters more than constant raw performance.
Colocation, Customer-Owned GPUs
For teams going all in on AI: build your own GPU environment, hosted by us.
Mac Mini Hosting
For AI work that needs Apple hardware, especially building and testing in the Apple ecosystem.
AI Infrastructure and Governance
Running AI takes more than raw compute. You need infrastructure to run the workloads, storage to feed your data pipelines, and governance to keep risk and compliance in check. Summit gives you a secure, scalable foundation for all three, from first deployment through day-to-day operations.
AI Inference
Deploy and scale AI workloads on dedicated infrastructure built for performance, consistency, and predictable cost.
AI Storage
Power your AI pipelines with secure, high-performance storage built for massive datasets, model repositories, and long-term growth.
Compliant AI
Get visibility and control over how AI gets used, with governance, security, and compliance that support responsible adoption.
Serving Models in Production
Big models need serious GPU memory and parallel compute. Leaner ones run fine on modern CPUs or Apple Silicon. Summit runs both on private, managed infrastructure, so you size the hardware to the model instead of paying for capacity you won’t use. See the full breakdown of hardware paths and how to choose on our AI Inference page.
Storage Built for AI in Production
Most teams aren’t training models, they’re deploying them. Summit storage is built for that: fast retrieval, model artifact management, and vector workloads at scale.
Storage Options for AI Workloads
Object Storage
Block Storage
Colocation for Storage-Heavy Builds
Backup and DR for AI Data
Storage Tiers for Deployed AI
SAN and NVMe
Active inference: embedding lookups, vector search, and real-time model serving.
Object Storage
Current model versions, RAG knowledge base, and recent inference cache.
Managed Backup
Prior model versions, training datasets, and audit logs.
AI Infrastructure Your Compliance Team Will Approve
Privately hosted AI environments built for regulated industries: SOC 2 Type II certified, single-tenant, and backed by an audit trail your compliance team can follow.
How Summit Makes AI Compliance Workable
SOC 2 Type II Certified
Private, Isolated Environments
Data Residency and Sovereignty
Advanced Monitoring and Managed Firewall
How Summit Maps to Your Frameworks
HIPAA
Private cloud, encryption at rest (AES-256), and audit logging, supported through business associate agreements and shared responsibility frameworks.
SOC 2 Type II
Full coverage under Summit’s existing certification (AT-101), with reports available on request.
GDPR and EU AI Act
EU-resident data centers in Amsterdam, Frankfurt, and Bucharest, with data processing agreements and data that stays within the EU. The same residency and data controls support your obligations as an EU AI Act operator.
PCI DSS
Isolated network segments, managed firewall, and a tokenization-friendly architecture.
Who Runs on Summit GPUs
Why Teams Move GPU Workloads to Summit
Dedicated performance, flat pricing, and engineers who pick up the phone. The combination is hard to find from hyperscale clouds.
Predictable Flat Pricing
A clear monthly rate for dedicated hardware that holds steady when a training run goes long. Egress is included on every service, so data transfer never adds to the bill.
Bare Metal Performance
Full access to NVIDIA H200, H100, and L40S. The whole card is yours, free of hypervisor tax and noisy-neighbor contention.
100% Uptime SLAs
Summit infrastructure carries 100% power and network uptime SLAs, so your long-running jobs stay online when it matters.
U.S.-Based Engineers
Support and Remote Hands are U.S.-based. When a training run breaks at 2am, a real engineer answers instead of a ticket queue.
Compliance Built In
SOC 2 Type II (AT-101), with HIPAA and PCI DSS supported through business associate agreements and shared responsibility frameworks.
Global Footprint
22 data centers across 6 continents let you place GPU capacity close to your data, your users, and your latency targets.
From Workload to Production in Four Steps
Scope Your Workload
Tell us your models, frameworks, and throughput targets. We right-size GPUs, storage, and networking around them.
Match the Model
Pick the right fit: bare metal GPU, dedicated server, private cloud, colocation, or Mac, with the storage and network profile to match.
Deploy and Onboard
We provision the environment and hand it off ready to run, with U.S.-based engineers on call.
Scale and Optimize
Add capacity as workloads grow and tune performance with Remote Hands support whenever you need it.
See What Dedicated GPUs Cost at Scale
Send us your current cloud GPU spend and workload profile. We’ll model it against Summit dedicated infrastructure and show you the difference. Read the cloud exit story.
Cloud GPU Instances vs Summit Dedicated Infrastructure
We were having trouble with our apps not sending data. We called up Summit, and they spent 2 hours talking us through it. It was a simple command line change and they fixed it. AWS won’t do that.
AI Workload FAQ
Which Summit environment fits my AI workload?
It comes down to how your workload runs. Heavy, always-on training and sustained inference fit bare metal GPUs. Smaller jobs and early development fit dedicated servers. Variable, on-demand work fits private cloud. Large, long-term builds on your own hardware fit colocation, and Apple-framework work fits Mac hosting. Tell us what you’re running and we’ll point you to the right model.
How much can I save compared to cloud GPU instances?
Savings depend on your usage pattern, but sustained training and production inference on dedicated hardware typically run far below equivalent hourly cloud GPU instances at scale. Share your workload and current spend, and we’ll model the comparison for you.
Which NVIDIA GPUs are available?
We currently run NVIDIA H200, H100, and L40S. H200 and H100 fit large-model training and fine-tuning, while L40S is a cost-efficient choice for inference and mixed workloads. Need a specific card we haven’t listed? Tell us what your workload needs and we’ll do our best to make it happen.
Is the hardware dedicated or shared?
It depends on the model you choose. Dedicated bare metal and dedicated servers give you single-tenant hardware with full access and no hypervisor overhead. Private cloud is available when you want flexibility over absolute isolation. We help you match the level of dedication to your workload.
Can I run training, fine-tuning, and inference on the same setup?
Yes. The same dedicated hardware supports training runs, fine-tuning, and low-latency production inference, backed by high-throughput storage and private networking.
How do you handle data security and compliance?
Summit maintains SOC 2 Type II (AT-101) and supports HIPAA and PCI DSS through business associate agreements and shared responsibility frameworks, across 22 data centers on 6 continents.
Who supports the environment if something breaks?
U.S.-based engineers and Remote Hands. Real people answer when you need help, whether that’s a hardware question in the middle of the night or guidance on tuning a training run.
Price Your GPU Workload
Tell us about your AI workloads and a Summit engineer will get back to you with options and pricing.