Deep Learning Workstations For AI & ML

Designed for ease of use and hassle-free expansion, Orbital Computers Deep Learning Workstations are ideal for any GPU-intensive data science workload.

Hand assembled and supported entirely from our Mukilteo WA USA Office – Give our AI Workstation Experts a call today 877-976-7510

Single GPU

Orbital Silenced Monolith

For local LLMs, Stable Diffusion and fine-tuning up to ~13B, with up to 96GB of VRAM.

One GPU, models up to ~13B

Up to 1x RTX 5090 or RTX PRO 6000
35 dBA idle, 49 dBA peak
One 15A circuit (1200W max)

From $5,520

Customize and buy Orbital Silenced Monolith

Dual GPU

Orbital GPU Pro

For fine-tuning up to ~70B and serving inference to a team, with up to 192GB of ECC VRAM.

Two GPUs, models up to ~70B

Up to 2x RTX 5090 or RTX PRO 6000
37 dBA idle, 70 dBA peak
One 15A circuit (1700W max)

From $12,715

Customize and buy Orbital GPU Pro

Quad GPU

Orbital Quantum

Our flagship for training 70B+ models and serving many users on premises, with up to 384GB of VRAM.

Four GPUs, 70B+ models

Up to 4x RTX 5090 or RTX PRO 6000
39 dBA idle, 85 dBA peak
Two 120V 15A circuits (3400W max)

From $18,527

Customize and buy Orbital Quantum

Single GPU Fine Tuning Up to ~13B

Orbital Silenced Monolith

For the individual researcher or ML engineer who needs a dedicated local box to build, fine-tune, and iterate, without renting cloud by the hour. The Orbital Monolith is ideal for local LLM inference, fine-tuning models up to ~13B, running Stable Diffusion and Flux, and everyday PyTorch development. Choose the RTX 5090 for the best price-to-performance, or the RTX 6000 for 96GB of VRAM when you need to fit larger models locally.

Up to 96GB vRAM

GPU Support: Up to 1x RTX 5090 or RTX 6000 Pro Blackwell

Average Noise: 35dBA Idle / 49 dBA Peak

Power Requirements: Single 15Amp Circuit (1200W max draw)

Intel Core Ultra 9, Z890, Desktop Mid-ATX

From: $5,520.00

Customize and Buy

Dual GPU Fine Tuning Up to ~70B

Orbital GPU Pro

For teams and serious practitioners fine-tuning large models or serving inference in production, where one GPU is no longer enough. Built for fine-tuning models up to ~70B, serving multiple concurrent inference requests, and parallel experimentation. The Threadripper Pro platform gives you the PCIe lanes and ECC memory that consumer boards can't. Configure with 5090s for maximum throughput per dollar, or RTX 6000s for 192GB of total ECC VRAM.

Up to 192GB vRAM

GPU Support: Up to 2x RTX 5090 or RTX 6000 Pro Blackwell

Average Noise: 37dBA Idle / 70 dBA Peak

Power Requirements: Single 15Amp Circuit (1700W max draw)

AMD Threadripper Pro, WRX90, Desktop Extended-ATX

From: $12,715.00

Customize and Buy

Quad GPU Training 70B+, Cluster Class

Orbital Quantum | 4x RTX 5090 / 6000 AI Workstation

Our flagship multi-GPU powerhouse for the most demanding workloads. Four GPUs, up to 384GB of VRAM, and Threadripper Pro compute for training large models, serving many users at once, or running workloads that would otherwise require a cloud cluster. The on-prem answer for teams that need full control of their data and hardware. Configure with 5090s or step up to RTX 6000s for maximum VRAM and ECC reliability.

Up to 384GB vRAM

GPU Support: Up to 4x RTX 5090 or RTX 6000 Pro Blackwell

Average Noise: 39dBA Idle / 85 dBA Peak

Power Requirements: Two 120V 15Amp Circuits (3400W max)

AMD Threadripper Pro, WRX90 Platform, Custom Extended 6U

From: $18,527.00

Customize and Buy

Average noise levels measured by a stationary decibel meter placed 36 inches behind and to the side of the system, with the system elavated 32 inches off the floor, with no obstructions between the meter and the system. Ambient noise during testing is approximately 33 dBA.

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AI Workstations

Experience what GPU acceleration really feels like. Orbital Computers AI, Machine Learning, Data Science, and Deep Learning Workstations are configured for unbelievable GPU-based compute performance. With options of up to 4x Nvidia RTX GPUs, fast RAM, NVMe storage standard, and a 3-year parts, lifetime labor warranty, Orbital’s Data Science Workstations are the right tool for the job. Orbital Deep Learning Workstations are optimized for Deep Learning frameworks including vLLM, Ollama, JAX, Hugging Face, LM Studio, TensorRT-LLM, PyTorch, Keras, TensorFlow, Mistral, exllama & More Every system can be configured with AI/ML software preinstalled.