ACCESS TO ENTERPRISE HARDWARE
Skorppio's built on NVIDIA Blackwell GPU's, AMD CPU's, and enterprise memory and storage.
Hardware
FEATURED
SYSTEMS
DUAL EPYC 8x RTX PRO 6000 SERVER
MULTI GPU THREADRIPPER PRO
RTX PRO 6000 ULTRA WORKSTATION
NVIDIA DGX SPARK
FOUNDERS EDITION
SOLUTIONS BY
INDUSTRY
Every industry has different compute demands. Select your sector to see how Skorppio systems are configured for your specific workflows and compliance requirements.
AI & MACHINE LEARNING
Multi-GPU servers with up to 768 GB VRAM for LLM fine-tuning, inference at scale, and retrieval-augmented generation. ECC memory and NVLink interconnect for memory-bound training workloads.
VFX & VIRTUAL PRODUCTION
RTX PRO Blackwell workstations and render nodes configured for Redshift, V-Ray, Nuke, Houdini, and DaVinci Resolve. Production-ready from 4K through 16K resolution.
ARCHITECTURAL VISUALIZATION
RTX PRO Blackwell workstations for real-time ray-traced visualization in Enscape, Twinmotion, V-Ray, and Lumion. Handle large-scale BIM models and photorealistic client presentations at 4K and above.
SCIENTIFIC RESEARCH
On-premise compute for labs and research institutions running CUDA-accelerated workloads — molecular dynamics, climate modeling, computational fluid dynamics, and genomics pipelines.
LIVE EVENTS
Portable and rack-mounted GPU systems for Notch, Disguise, TouchDesigner, and Unreal Engine in live production environments. Configured for real-time graphics and media playback at broadcast quality.
WHY COMPANIES RENT WITH SKORPPIO
DEPLOYMENT SCENARIOS
NEED A CUSTOM
CONFIGURATION?
Tell us your workflow. We will provide in depth technical inisght and the right system architecture. Our team is ready to help.
Questions? Answers.
Frequently Asked Questions
How much VRAM do I need to fine-tune a large language model?
The amount of VRAM you need depends on the model size, precision format, and fine-tuning method. Full fine-tuning of a 70B-parameter model in FP16 can require 140 GB or more of VRAM, while techniques like LoRA and QLoRA significantly reduce that footprint — sometimes to under 48 GB.
For multi-GPU setups, frameworks like DeepSpeed ZeRO and FSDP allow you to shard model states across GPUs, distributing memory requirements efficiently.
Skorppio workstations come equipped with up to 384 GB of VRAM (4× A6000) or 768 GB (8× A6000) in server configurations, giving you room to fine-tune the largest open models without compromise.
How quickly can I get hardware?
Most Skorppio systems ship within 48 hours of order confirmation, and some configurations are available for next-day delivery depending on your location and inventory. We maintain ready-to-ship inventory specifically for AI and ML workloads so you’re not waiting weeks for provisioning.
Can I run PyTorch, Hugging Face, and CUDA without modification?
Yes. Every Skorppio workstation and server ships with the full CUDA toolkit, compatible NVIDIA drivers, and a clean Ubuntu environment ready for your stack. PyTorch, Hugging Face Transformers, JAX, TensorFlow — all run natively. You get full root access, so you can install and configure anything you need without restrictions.
What is the minimum rental period?
Our minimum rental period is one week. Monthly rentals are available at a reduced rate, and we offer flexible terms for longer engagements. Whether you need a system for a sprint, a quarter, or an ongoing project, we’ll match the term to your timeline.
How does multi-GPU distributed fine-tuning work on PCIe?
Skorppio’s multi-GPU workstations use PCIe 5.0 x16 lanes, delivering up to 128 GB/s of bidirectional bandwidth per GPU. For distributed fine-tuning, frameworks like PyTorch DDP, FSDP, and DeepSpeed handle gradient synchronization and model sharding efficiently over PCIe — no NVLink required for most workloads.
PCIe-based systems are ideal for data-parallel training, LoRA/QLoRA fine-tuning, and inference pipelines where each GPU processes independently or shares lightweight updates. You get the multi-GPU benefit without the premium of NVLink for workloads that don’t require ultra-high inter-GPU bandwidth.
Do you provide software, drivers, or licensing?
Every system ships with Ubuntu and NVIDIA drivers pre-installed, verified and tested against your GPU configuration. You get full root access to install any frameworks, libraries, or tools your workflow requires — no licensing restrictions, no locked-down environments.
Is this a cloud service?
No. Skorppio provides physical hardware shipped directly to your location. You get dedicated GPUs, full root access, and no shared tenancy — unlike cloud providers where you’re allocated virtual resources on shared infrastructure. Your data stays on your machine, on your network, under your control.
