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High-performance workstations and servers for multiple workloads.

Ready for AI, EDA, 3D rendering, data science, or backend services. We configure the OS, drivers, and containers; validate stability; and deliver them to you ready to work.

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Model S

Your gateway to computing for AI and digital design. Perfect for development, lightweight verification, and inference.

  • Core i7 CPU

  • 32 GB RAM

  • NVMe 2 TB

  • GPU 8 GB (RTX 4060)​

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Model M

Balanced power for medium EDA/ML pipelines and fast builds.

  • Core i7-K CPU

  • 64 GB RAM

  • NVMe 4 TB

  • GPU 12 GB (RTX 4070)

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Model X

High performance for intensive verification, synthesis and serious training.

  • Core i9 CPU

  • 128 GB RAM

  • NVMe 4 TB

  • GPU 24 GB (RTX 4090/RTX 6000 Ada)

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Mifral AI server

Scalable server for different workloads or for artificial intelligence with 24/7 multi-GPU and team orchestration.

  • Xeon/EPYC

  • 64–512 GB ECC

  • 8–20 TB

  • 1–4 datacenter GPUs (64–256 GB total VRAM)

  • 10–25 GbE, IPMI, 2× PSU

Images shown are AI-generated renderings. Final product may vary in appearance and configuration.

What services are included?

  • Installation of operating system and add-ons (Ubuntu 24.04 / Rocky Linux), CUDA/cuDNN, Docker/Podman, drivers and updates.

  • Storage configuration (NVMe/RAID), stress testing, and delivery documentation.

  • Installation of open source EDA tools.

  • 12-month consultation support: tickets/email and remote sessions by appointment. This is not a critical SLA or on-site support.

Frequently Asked Questions (FAQ)

Can you customize CPU/GPU/RAM?

  • Yes. We adapt the configuration to the use case (EDA, ML, rendering, etc.).

What is the difference between “consumer” and “datacenter” GPUs?

  • Datacenters offer better VRAM, stability, and options like ECC and power profiles for 24/7 operation.

Can you install Red Hat?

  • Yes, with an optional license. We deliver Ubuntu or Rocky by default (no license fee).

Are these devices only designed for AI or EDA tools?

  • Our equipment is preconfigured for use in EDA tools or artificial intelligence workflows. However, it can be used in any software development, 3D rendering, animation, or other workflows.

Delivery time?

  • S/M/X: 2–4 weeks. AI Server: 4–8 weeks (depending on GPU availability).

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