Dell PowerEdge
Validated enterprise platforms for AI clusters, rack-dense GPU nodes, and standardized fleet rollouts.
- New and used enterprise server options
- High-density GPU platforms for production AI
- Rack planning and deployment support
Enterprise Services
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New + Used HPC Inventory
New and Used HPC Servers for AI and Simulation Workloads
We source production-ready Dell, Supermicro, and HPE server platforms for teams building around NVIDIA H100, H200, B300, and AMD Instinct accelerators. Pricing and availability are quoted against live inventory only.
No public pricing. Contact us for current stock, lead times, and configuration guidance.
STOCK
New + Used Inventory
We source both current-generation and secondary-market platforms so you can match performance targets to budget and timeline.
OEM
Dell, Supermicro, and HPE
Enterprise hardware options for standardized fleets, dense GPU nodes, and mixed AI/HPC environments.
GPU
H100, H200, B300, and AMD Instinct
Accelerator options for training, inference, simulation, and memory-heavy workloads across NVIDIA and AMD ecosystems.
OPS
Rack Integration + Burn-In
Practical support for validation, network planning, power distribution, and production handoff.
Platforms from Proven OEMs
We help clients source the right server chassis, GPU density, and support path without forcing a one-vendor answer.
Supermicro
Flexible GPU server architectures for custom AI and HPC builds with broad chassis, storage, and networking choices.
- Configurable GPU and storage footprints
- Custom platform selection for fit-for-purpose builds
- Burn-in and integration coordination
HPE
Enterprise-grade compute platforms for organizations that want vendor-backed lifecycle consistency and operational discipline.
- Standardized enterprise deployment paths
- Lifecycle support for multi-system environments
- Integration guidance for data center operations
Current Accelerator Families We Support
From proven Hopper deployments to current Blackwell and AMD Instinct options, we help clients align the platform to the workload instead of chasing generic spec sheets.
H100
NVIDIA H100 Systems
Proven Hopper-based GPU platforms for AI training, inference, and mixed HPC workloads.
H200
NVIDIA H200 Systems
Higher-memory Hopper configurations suited for larger models, heavier inference, and data-intensive pipelines.
B300
NVIDIA Blackwell Ultra / B300 Platforms
Next-generation NVIDIA platforms for organizations planning around modern AI factory deployments and dense GPU infrastructure.
AMD
AMD Instinct Platforms
AMD Instinct MI300 and MI350-class options for AI and HPC teams that want strong memory density and open software-stack flexibility.
How We Handle HPC Procurement
We keep the process straightforward: define the workload, match the inventory, and quote what is actually available.
01
Define the Workload
We start with model size, training or inference profile, memory pressure, facility constraints, and delivery timing.
02
Match Inventory to Requirements
We map available Dell, Supermicro, or HPE platforms and GPU options to the performance and budget envelope you need to hit.
03
Coordinate Delivery and Integration
Pricing is provided against live inventory. We can coordinate burn-in, rack planning, network handoff, and deployment logistics.
Related Enterprise Planning Resources
Hardware procurement works best when it is tied to deployment readiness, operational ownership, and workload planning. These internal resources help frame the broader discussion.
NOMAD Data Centers
Review the modular capacity path if your roadmap includes dense AI infrastructure, immersion cooling, or phased expansion.
Infrastructure Articles
Read practical articles on private AI, HPC server selection, cooling strategy, and operational readiness before you finalize hardware decisions.
Managed IT Services
If the project also needs ongoing monitoring, patching, or secure operational support, review the MSP offering that can support production environments after deployment.
Request Inventory Review
Send your target GPU family, node count, rack constraints, and timeline. We will respond with current inventory options and practical next steps.
HPC Server FAQ
Answers to the common questions clients ask before they source GPU systems, AI server inventory, or mixed HPC infrastructure.
Do you publish pricing for HPC servers and GPU platforms?
No. Pricing is tied to live inventory, platform condition, GPU availability, and delivery scope. We quote against current stock so clients are reviewing real options instead of stale placeholder pricing.
Do you sell both new and used GPU servers?
Yes. We source both new and secondary-market systems when that improves the client’s budget, lead time, or fleet standardization goals. The right answer depends on workload profile, support expectations, and how quickly the environment needs to go live.
Which accelerator families do you currently support?
Current sourcing covers NVIDIA H100, H200, Blackwell-class B300 platforms, and AMD Instinct options, with Dell, Supermicro, and HPE server choices depending on density, networking, storage, and operational requirements.
Can you help with integration after the hardware is sourced?
Yes. We can support platform selection, burn-in coordination, rack planning, power distribution alignment, networking handoff, and the transition from procurement to deployment. If the project also needs modular capacity, we can scope that alongside our NOMAD data center offering.
Need Current Pricing or Available Inventory?
Share your workload profile, node count, GPU target, and timeline. We will respond with practical options based on live availability instead of placeholder pricing.
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