Built for Scientific Teams and ML Engineers
Your GPU.Your Desktop.Raw Performance.
A full Linux desktop with direct GPU passthrough in your browser — powered by AxonOS, without VM overhead.
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GPU-Native Containers vs GPU Virtualization
The three most common concerns
- Will it feel like a real GPU workstation, or another thin remote layer?
- Will I get predictable performance without hidden VM overhead?
- Can my team keep full control of tools, environments, and workflows?
AxonGPU runs workloads in GPU-native containers using direct passthrough to the host CUDA/ROCm/oneAPI driver stack — avoiding hypervisor/vGPU overhead.
Virtualized GPU Access Adds Overhead
Hypervisor-style GPU virtualization (VM/vGPU) introduces latency and unpredictable performance characteristics. When you're running simulations that take days, even a 5% performance hit from virtualization overhead compounds into hours of wasted compute time and budget. GPU-native containers with direct driver passthrough avoid this overhead.
Scientists Need Native Desktops
Real scientific work happens in integrated environments. You need your IDE, your visualization tools, your data pipelines, and your GPU all working together seamlessly. Jupyter notebooks and web-based interfaces are fine for exploration, but production workflows require the full power and flexibility of a Linux-based desktop.
AxonOS provides this complete environment — a full scientific computing desktop forked from DeSciOS, with JupyterLab, RStudio, bioinformatics tools, AI assistant, and more, all accessible through your browser with GPU-native container support.
Virtualization Overhead Hurts Reproducibility and Throughput
When you can't directly access the host GPU driver stack, you can't guarantee reproducible results. Virtualization layers, resource contention, and hidden abstraction create variability that breaks scientific rigor. AxonGPU uses GPU-native containers with direct driver passthrough, giving you raw performance characteristics you can measure and optimize.
GPU-Native Containers. Not GPU Virtualization.
Direct driver passthrough, without VM overhead.
| Feature | AxonGPU | Virtualized GPU Cloud |
|---|---|---|
| GPU Access | GPU-native containers with direct driver passthrough (CUDA/ROCm/oneAPI) | Virtualized/emulated GPU access (VM/vGPU, remote GPU abstraction) |
| Driver Stack | Direct passthrough to host GPU drivers, no hypervisor overhead | Hypervisor/vGPU layers, container runtime, API gateway overhead |
| Desktop Access | Full Linux based desktop environment | Web interfaces, Jupyter, or SSH-only access |
| Scientific Workflows | Native tooling, integrated environments, full OS capabilities | Limited to containerized applications, restricted environments |
| Performance Predictability | Raw performance, consistent, measurable, no virtualization overhead | Variable due to virtualization overhead, scheduling, and contention |
Built for Serious Workloads
AxonGPU is designed for professionals who need real performance, not marketing promises.
Scientific Computing
Run complex simulations, numerical analysis, and computational research with direct hardware control and full reproducibility.
Genomics & Bioinformatics
Process genomic data, run protein folding simulations, and analyze large-scale biological datasets with native GPU acceleration.
Simulation & Modeling
Physics simulations, fluid dynamics, molecular dynamics, and other compute-intensive workloads that require predictable performance.
ML Training & Inference
Train and deploy machine learning models with full control over your environment, dependencies, and optimization strategies.
HPC Workflows
High-performance computing workloads that demand consistent, measurable performance without virtualization overhead.
Research Environments
Collaborative research setups where teams need shared access to powerful GPU resources with full desktop capabilities.
Simple Architecture
Three layers: native GPU nodes, AxonOS, and secure desktop access — all without VM overhead.
- Direct driver passthrough to host CUDA/ROCm/oneAPI
- Full Linux desktop in the browser for real workflows
- Encrypted access with predictable performance
Flexible Pricing
Pay in USD or $AXGT with hourly or quote-based options; AXGT unlocks preferred discounted pricing.
USD billing
Traditional payment
Hourly usage or quote-based commitments. Pay by card or bank transfer.
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Pay with $AXGT
Discounted hourly and quote-based commitments for AXGT payments. No credit card required.
Request $AXGT QuoteTraditional Payment
Pay with USD via credit card or bank transfer. Simple, familiar billing.
- ✓ Instant access after payment
- ✓ Hourly usage or quote-based agreements
- ✓ Cancel anytime
- ✓ Standard payment processing
Token Payment
Pay with $AXGT tokens for preferred discounted rates and a fully decentralized experience.
- ✓ Decentralized payments
- ✓ AXGT discount pricing
- ✓ No credit card required
- ✓ Hourly usage or quote-based agreements
- ✓ Direct token transactions
If you pay for GPUs, you should own their performance.
Stop accepting virtualization overhead that hides your hardware's true capabilities. Get GPU-native containers with direct driver passthrough to the GPUs you're paying for, with a full Linux-based desktop environment built for serious computing.
Pay with USD or $AXGT tokens • Free trial on request • Flexible pricing
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