Pre-configured operating system + curated model marketplace for AI mini PCs
Stop spending months on configuration. Get running in hours.
Quantised Agents Local - QAL
Everything you need for production-ready local AI
Pre-configured Linux optimized for AI workloads. All dependencies installed, system tuned, security hardened. Works with multiple hardware platforms.
Tested and optimized models ready to run. Llama, CodeLlama, Mixtral, DeepSeek. One-click installation, automatic updates.
Remote or on-site configuration. We handle the complexity, you get running systems in hours instead of months.
Full Wikipedia, technical documentation, curated datasets. No internet required for inference.
Web UI and CLI tools for monitoring, updates, model management. Full system control.
Works with GMKTEC, Framework, Minisforum, and other unified memory systems. Bring your own or buy through our recommendations.
Complete system shipped ready-to-deploy. Plug in and go.
Install on your hardware with our setup and support.
Bespoke deployments with white-glove service.
Qalarc AI-OS works with leading AI mini PCs featuring unified memory architecture
AMD Ryzen AI Max+ 395
• 128GB unified memory (LPDDR5X-8000)
• 126 TOPS AI performance (XDNA 2 NPU)
• 40-core RDNA 3.5 GPU
• Compact desktop form factor
Professional workstation-grade AI system
• Higher unified memory configurations
• Enterprise support and warranty
• Optimized for data center deployment
Desktop AI workstation
• Modular and upgradeable design
• Right-to-repair philosophy
• Ships immediately with 128GB
Entry-level AI mini PCs
• Cost-effective unified memory systems
• Compact form factors
• Great for getting started with local AI
💡 Hardware Recommendations
We recommend hardware based on real-world testing with Qalarc AI-OS. We earn referrals when you purchase through our links, which supports ongoing optimization and testing of new systems. We only list hardware we've personally validated for local AI workloads.
If you own an AMD unified memory system or similar AI-capable hardware, we can set up Qalarc AI-OS on your existing equipment.
Qalarc AI-OS is optimized for these systems. We recommend hardware based on real-world testing and update this list quarterly.
All systems feature 128GB unified memory. Focus on expansion needs and availability for your use case.
| System | CPU/GPU | Bandwidth | Expansion | Price | Status | Notes |
|---|---|---|---|---|---|---|
|
🏆 GMKtec EVO-X2 AI PRIMARY RECOMMENDATION Buy Now → |
Ryzen AI Max+ 395 Radeon 8060S |
256 GB/s | OCuLink USB4 40Gbps |
~$1,999 | ✓ In Stock | Compact design, excellent thermals, OCuLink for eGPU. Best value for immediate deployment. Ships globally. |
|
💎 Minisforum MS-S1 Max BEST EXPANSION More Info → |
Ryzen AI Max+ 395 Radeon 8060S |
256 GB/s | PCIe x16 slot USB4 V2 80Gbps |
~$2,299 | Q3/H2 2025 | Internal PCIe x16 (x4 electrical), USB4 V2 for eGPU, rack-mountable, 320W PSU. Best for future expansion with Nvidia high-memory cards. |
|
🔧 Framework Desktop MODULAR & AVAILABLE Configure → |
Ryzen AI Max+ 395 Radeon 8060S |
256 GB/s | GPU Module Bay (not exposed) |
~$2,799 | ✓ Available Now | Modular, repairable, upgradeable design. Ships immediately. Requires assembly. GPU module bay not exposed in default case configuration. |
|
Beelink GTR9 Pro ⚠️ KNOWN ISSUES View Product → |
Ryzen AI Max+ 395 Radeon 8060S |
256 GB/s | None | ~$2,199 | ✓ Available | User Reports: Some units experience 10GbE stability issues under GPU load, 52dBA fan noise. Dual 10GbE ports, Mac Studio-inspired design. Verify warranty before purchase. |
|
🍎 Mac Studio M4 Max FASTEST FOR SMALL MODELS View Product → |
M4 Max 40-core GPU |
546 GB/s | TB5 only | ~$3,999 | ✓ Available Now | Fastest for 7-13B models due to 2x bandwidth. Slower on 70B (6-8 tok/s) due to higher memory pressure. Qalarc AI-OS via dual-boot or replaces macOS. |
|
🔮 Future Option: NVIDIA High-Memory GPUs (Early 2026)
NVIDIA is expected to release consumer GPUs with significantly higher VRAM capacities in early 2026. Systems with expandability (Minisforum MS-S1) will be able to leverage these as they become available. Check back for updates as new hardware is announced. |
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All Strix Halo systems (GMKtec EVO-X2, Minisforum MS-S1, Framework Desktop, Beelink GTR9) run 70B Q4 models at 25-30 tokens/second thanks to quad-channel 256 GB/s bandwidth. All AMD systems perform identically—memory bandwidth is the bottleneck, not CPU speed or brand.
Minisforum MS-S1 Max
• Internal PCIe x16 + USB4 V2
• Ready for Nvidia 2026 GPUs
• Rack-mountable, 320W PSU
• Available Q3/H2 2025
Framework Desktop
• Ships immediately
• Modular & repairable
• Excellent build quality
• Strong community support
Mac Studio M4 Max
• Fastest for 7-13B models
• 546 GB/s bandwidth
• Professional aesthetic
• macOS optional
| Device | 7-8B | 13B | 30-32B | 70B | VRAM |
|---|---|---|---|---|---|
| All Strix Halo Systems (GMKtec, Minisforum, Framework, Beelink) |
36 tok/s | ~20 tok/s | 9-52 tok/s* | 25-30 tok/s | 128GB (96GB allocable) |
| DGX Spark (GB10) | 49+ tok/s | ~30 tok/s | ~15 tok/s | 25-30 tok/s | 128GB |
| Mac Studio M4 Max | ~45 tok/s | ~25 tok/s | ~12 tok/s | 6-8 tok/s | 128GB |
*30-32B varies: 9 tok/s dense models, 52 tok/s MoE with 4-bit quantization
Performance Note: All Strix Halo systems achieve 25-30 tok/s on 70B models with quad-channel 256 GB/s bandwidth and Q4 quantization. Mac Studio M4 Max slightly slower at lower VRAM (6-8 tok/s) but fastest at 7-13B models due to 546 GB/s bandwidth.
Based on real-world testing, these systems have issues or poor value for Qalarc AI-OS:
Qalarc AI-OS transforms compatible hardware into a powerful local AI platform. View performance comparisons and compatible systems below.
Strix Halo systems (256 GB/s bandwidth) - Watch actual token speeds
Click any model to see performance details and use cases
Fast and efficient, perfect for coding assistants and chat interfaces
Excellent balance of speed and intelligence for production workloads
Advanced reasoning and code generation capabilities
Comparable to GPT-3.5, production-grade AI that outperforms cloud APIs
GPT-3.5 level performance, MoE architecture for extreme efficiency
Outperforms GPT-4 on many benchmarks, frontier model capabilities
State-of-the-art performance, cutting-edge research capabilities
Train models on your specific data and use cases
Hardware: GMKTEC EVO X2 (~$2,000)
Qalarc AI-OS Pro: $299 one-time
vs Cloud: $900+/month forever
Break-even: 3 months
HIPAA compliance requires on-premise
Qalarc AI-OS + compatible hardware
Compliance: Day 1
Already own AI-capable hardware?
Just add Qalarc AI-OS setup ($149-$499)
Running in hours
Your server comes alive. It thinks, manages, and evolves.
Not just software on hardware - but a living, learning system that runs your world.
AI organizes your entire filesystem automatically. Finds anything instantly.
Tunes itself for maximum speed. Allocates resources intelligently.
Creates specialized workers as needed. Manages its own workforce.
Detects and fixes problems automatically. Never goes down.
Gets smarter over time. Adapts to your patterns and needs.
Host AI personas for your family. Access from anywhere on any device.
Hardware shipped to your location. Complete ownership and control.
We host and manage privately for you. Your data stays isolated.
Use our infrastructure while keeping your data private.
Your data never leaves your premises
HIPAA, GDPR, SOC2 by default
No network latency, instant responses
Your models, your rules, your IP
One-time purchase vs endless bills
Native terminal integration for developers
Join the waitlist for early access and priority deployment
Qalarc combines multiple meanings:
Together: "Lightweight Quantised Agents Local, secured like an Arc"
Cloud AI is expensive, slow, and forces you to send your data to third parties. Mac Studio costs $7,000 but maxes out at 192GB RAM - insufficient for 405B models. DIY local AI requires months of configuration, testing, and troubleshooting.
We deliver complete, production-ready AI systems. Not just hardware - we build it, configure the OS, load the models, integrate knowledge bases, test everything, and ship it ready to deploy.
Three breakthrough technologies enable our systems:
Reduces model size by 75% with minimal quality loss. Llama 405B fits in 200GB instead of 800GB, enabling deployment on consumer hardware.
Large models run efficiently on system RAM without expensive GPUs. Our 256GB systems outperform $7K Mac Studios that can't run 405B models at all.
10ms first token (vs 500ms cloud), unlimited throughput, zero network dependency. Your data never leaves your premises - HIPAA/GDPR compliant by design.
Understand your use case, requirements, and constraints
Custom spec or standard 256GB/512GB configurations
Build and burn-in test for reliability
Install OS, optimize for AI workloads, load models
Load offline Wikipedia, technical docs, custom datasets
Full system testing and validation
Shipped ready-to-deploy with setup assistance and 90-day support
Make powerful local AI accessible to everyone. Not just for tech giants - for startups, clinics, researchers, and businesses who value privacy, control, and independence.
Ready to deploy local AI? Contact us for a consultation or demo.
Or email us directly at: team@qalarc.com