Powerful GPU servers
for what comes next.

H100, A100 and RTX. A starting point for every idea.

Explore GPU infrastructure for AI, rendering and research. Find compute for your next idea.

Start with your workload. Find your next configuration.

NVIDIA H100 SXM with PCIe accelerators

Our partners.

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  • University of Gdańsk
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  • CI Games
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Your workload. Your starting point.

Start with what you need to run, not a long list of unfamiliar instance names.

Explore the hardware, outline your environment and discuss a configuration with the Xanpath team.

Explore GPU compute

The right GPU for your next idea.

From RTX graphics cards to data center accelerators, different workloads call for different hardware.

Consider model size, GPU memory and software requirements. Compare H100, A100 and RTX 4090 options to narrow your next enquiry.

Compare the hardware
Stack of NVIDIA A100 PCIe accelerators

Make the environment work for you.

Drivers, operating systems and access requirements shape what you can run. Include them in your compute brief from the beginning.

Discuss Linux or Windows needs, container tooling and GPU access with us before selecting your configuration.

Plan your environment
Illustrative Windows desktop environment
Operating system illustration. Platform support is confirmed for each configuration.

Find your next GPU.

Compare the hardware. Discuss the configuration that fits your project.

NVIDIA A100 SXM 80GB

A100 SXM

Request pricing

A versatile foundation for model development and scientific computing.

Explore A100 SXM
NVIDIA GeForce RTX 4090

RTX 4090

Request pricing

Explore GPU acceleration for image generation and 3D rendering.

Explore RTX 4090

From the GPU to the whole system.

Explore multi-GPU platforms, PCIe accelerators and complete servers.

NVIDIA HGX Blackwell multi-GPU baseboard reference illustration
Multi-GPU platform

NVIDIA HGX Blackwell

Explore Blackwell-based HGX systems for large-model training and inference. Plan GPU memory, interconnects, power and cooling around the complete workload.

Explore this platform
Hopper-style NVIDIA HGX eight-GPU baseboard on a dark background
Multi-GPU platform

NVIDIA HGX Hopper

A connected multi-GPU platform for demanding AI workloads. Discuss Hopper GPU options, the application’s communication requirements and the supporting server resources.

Explore this platform
Supermicro server portfolio supporting NVIDIA L40S GPUs
GPU server family

Supermicro L40S systems

Explore Supermicro systems designed around NVIDIA L40S for inference, model fine-tuning, rendering and video workloads. Match the server format and GPU count to your application.

Explore this platform

Designed around performance. Planned for growth.

The hardware is just the beginning.

Compute that fits your geography.

Where your data lives matters. So do the people and applications that need to reach it.

Tell us your preferred region, latency targets and data residency requirements. We’ll use them to scope your infrastructure enquiry.

Discuss locations
World map used to illustrate regional infrastructure planning
Regional planning illustration. Deployment locations are confirmed in your proposal.

A workflow you can build around.

Your infrastructure should work with the tools your team already uses.

Share your environment, provisioning workflow and integration requirements. We’ll help you identify what your deployment needs before you commit.

Explore integration requirements
workload.yaml
# A starting point for your compute brief
workload: language-model-inference
accelerator: nvidia-h100
memory: discuss-with-xanpath
environment: pytorch
region: your-preferred-location
next_step: request-a-proposal
Example requirements · No API request

Make reliability part of the plan.

A GPU is one part of your infrastructure. Power, networking, access control and maintenance all deserve the same attention.

Discuss your availability targets, backup responsibilities and support needs with us. The agreed service conditions belong in your proposal.

Security & reliability
NVIDIA A40 accelerator

For AI. And everything around it.

Think beyond the accelerator. Build a complete compute plan.

GPU Cloud

Accelerated
AI workloads, from experimentation to scale

Explore GPUs for model training, inference and data-intensive research.

Explore the options

VM configurations

Flexible
An environment shaped around your workflow

Discuss operating systems, driver versions and the software your workload needs.

Explore the options

CPU Cloud

General compute
Data pipelines, services and batch processing

Match CPU, memory and storage to the supporting parts of your infrastructure.

Explore the options

Frequently asked questions

How do I get a proposal?

Tell us what you want to run, your preferred hardware, region and expected duration. Email inquiry@xanthan.com to start the conversation.

What should I consider for security?

Describe your access controls, data sensitivity, backup strategy and compliance requirements. Review these with us before selecting a configuration. Explore security considerations.

How are prices determined?

A useful quote includes the GPU, CPU, memory, storage, network and rental duration. Contact us for a proposal based on your specific workload.

Which GPU should I choose?

Start with model size, memory requirements, software compatibility and workload duration. Our GPU sizing guide can help you prepare an enquiry.

Big ideas take many forms.

A clearer path to
serious compute.

Good infrastructure starts with understanding what you want to build. Xanpath brings the conversation back to your workload, your constraints and your next step.

From GPU selection to the wider compute environment, let’s put the details into a practical plan.

GPUAccelerated workloads
CPUSupporting compute
YouThe starting point
Start a conversation
Illustration of a next-generation compute chip
  • Telelink
  • Bede
  • TEMU
  • Technology partner — teal geometric logo
  • Whale Technology
  • Technology partner — circular white logo
  • University of Gdańsk
  • 7 Gaming
  • ElevenLabs
  • Replit
  • TeaCode
  • Technology partner — blue and green logo
  • Technology partner — multicolored geometric logo
  • Live Interactive
  • ZEEKR
  • Technology partner — red geometric logo
  • CI Games
  • LPP S.A.
  • EGT Digital
  • Joybuy