Local AI PC 2026: what hardware to run a LLM locally?
In 2026, running AI locally is no longer the domain of data centers or engineers alone. Open-source models have surged in quality, Llama 4, Qwen 3.5, DeepSeek V4, Gemma 4, Mistral Large 3 now rival top proprietary models, and consumer-grade hardware lets you fully leverage them. This guide explains how to choose your local AI PC based on your use case and budget.
Why Local AI is Essential in 2026?
1. Privacy and GDPR, a requirement for regulated professions
A local AI workstation solves this issue by design. Data stays within your premises: local AI ensures GDPR compliance and adherence to professional secrecy, with no data transfer outside the EU.
2. Zero recurring costs
A ChatGPT Plus subscription costs €23 including VAT per month per user, or €276 per year. For a team of 5 people, that's €1,380 per year in pure expenditure, with your data on third-party servers as a bonus. For this team of 5, a CoreIA RTX 5060 Ti at €2,068 pays for itself in less than two years, then produces results at no additional cost for years.
3. Open-source models have reached frontier level in 2026
The best open-source LLM models for local use — May 2026
| Model | Size / Architecture | VRAM (Q4) | Strengths | Ideal for |
|---|---|---|---|---|
| Llama 4 Scout 17B | 17B MoE · Meta | ~10-12 GB | Best quality/VRAM ratio in 2026, 10M context | General use, 12 GB VRAM |
| Gemma 4 26B QAT | 26B dense · Google | ~14 GB | 85 tok/s on consumer GPUs, 256K context, multimodal | Speed + quality, long summaries |
| Qwen 3.5 14B / 32B ⭐ | MoE · Alibaba | ~10 GB (14B) / ~20 GB (32B) | Multilingual, multimodal, 8.6× better throughput vs Qwen3 | French, multilingual, versatile |
| DeepSeek V4 Flash | 284B total / 13B active | ~10-12 GB | Advanced reasoning, coding, agentic, MIT | Accounting, coding, analysis |
| Mistral Medium 3.5 | MoE · Mistral AI | ~16 GB | 77.6% SWE-Bench, EU-friendly, excellent in French | Law, drafting, European firms |
| DeepSeek R2 8B | 8B dense · MIT | ~5 GB | Best math/logic reasoning in 8B, lightweight | Modest machines, fast analysis |
| Kimi K2.6 | 1T MoE / variable active | Multi-GPU | #1 open-source coding (Quality Index 53.9) | Dev teams, AI servers |
| DeepSeek V4 Pro | 1.6T total / 49B active | Multi-GPU | 90.1% GPQA Diamond, 1M context, GPT-5-mini level | Enterprise AI servers |
Sources: CoderSera (May 2026), BentoML (May 2026), PromptQuorum (May 2026), WhatLLM.org (April 2026). Updated May 13, 2026.
How to choose your local AI PC: VRAM above all
The number one criterion for local LLM inference is GPU memory (VRAM). Inference is limited by memory bandwidth — the GPU continuously loads model weights from the VRAM. More VRAM = larger models = better answers.
| Available VRAM | Compatible models (Q4) | May 2026 examples | Approx. speed |
|---|---|---|---|
| 5-8 GB | Up to 9B | DeepSeek R2 8B, Qwen3 8B, Gemma 3 4B | 50–90 tok/s |
| 12 GB | Up to 17B MoE | Llama 4 Scout 17B, Gemma 3 12B | 30–50 tok/s |
| 16 GB ⭐ Sweet spot | Up to 14B dense / 17B MoE | Qwen 3.5 14B, Mistral Medium 3.5, Llama 4 Scout | 40–70 tok/s |
| 24 GB | Up to 27-32B | Qwen 3.5 32B, Gemma 4 26B | 25–45 tok/s |
| 32 GB (RTX 5090) | Up to 30B in 8 bits | Qwen 3.5 32B, Gemma 4 26B | Depending on the model |
| 128 GB unified (GB10) | Up to 200B+ in Q4 | Qwen 3.5 72B Q4, models up to 200B | 20–40 tok/s |
| 64–192 GB (multi-GPU) | 70B FP16 to 500B+ MoE | DeepSeek V4 Pro, Kimi K2.6, GLM-5.1 | Variable |
Our Local AI Workstations, Configured, Tested, and Delivered Ready to Use
Radiance Systems designs local AI workstations for professionals who cannot entrust their data to a remote server. Each machine is hand-assembled in Auriol (13390), in Provence, outside the GB10 chassis mounted by ASUS, and delivered throughout Europe. You will find our full range of local AI workstations and servers, from individual desktops to team servers, on a single page. For a team, our guide provides the price of a local AI server.
CoreIA GB10 (ASUS Ascent GX10)
✅ Qwen 3.5 72B Q4 · Up to 200 billion parameters in 4 bits
128 GB of unified memory allows loading models that even a RTX 5090 (32 GB) cannot hold. 15×15 cm format, silent, consumes a standard power outlet. CPU+GPU architecture merged on a single chip with NVLink-C2C at 900 GB/s.
Delivered ready to use · Ollama pre-installable on request
Configure this server →
CoreIA RTX 5060 Ti
✅ Qwen 3.5 14B · Mistral Medium 3.5 · Llama 4 Scout 17B · 40-70 tok/s
The 2026 sweet spot for professional local AI. 16 GB GDDR7 for 14-17B models entirely on the GPU. AM5 DDR5 platform, compact and silent case. Ideal entry point for an individual firm.
Fully configurable · Case, RAM, SSD of your choice
Configure this workstation →
CoreIA Radeon AI PRO R9700
✅ Gemma 4 26B · Qwen 3.5 32B · Models up to 30 billion in 8 bits
The workstation for demanding liberal professions. 32 GB of VRAM for 26-32B models. AMD card, without CUDA (ROCm or Vulkan): very good for text and RAG, less suited for image or video generation and fine-tuning. Ryzen 9 9900X for mixed CPU workloads (RAG, document processing, n8n).
Fully configurable · Cooling, GPU, storage of your choice
Configure this workstation →
CoreIA RTX 5090
✅ Qwen 3.5 32B · Gemma 4 26B · Models up to 30 billion in 8 bits
The best consumer GPU for LLM inference in 2026. 1,792 GB/s of bandwidth, a consumer market record. 30 billion parameter models in 8 bits entirely on the GPU. Light fine-tuning possible. Ryzen 9 9900X for intensive RAG pipelines.
Fully configurable · Fine-tuning possible
Configure this workstation →
CoreIA 2x RTX 5090 (64 GB VRAM)
✅ Models up to 70 billion in 8 bits · Simultaneous multi-GPU inference
64 GB of total VRAM for 20 to 30 people sharing an internal AI server at the same time. Simultaneous inference on two independent GPUs. Ideal for firms with several employees.
Custom-made · 4U Rack · Quote upon request
Configure this rack →
CoreIA 2x RTX PRO 6000 (192 GB ECC)
✅ Models up to 180 billion in 8 bits · 70B+ fine-tuning · GPU virtualization
Professional GPUs with ECC memory for continuous production. 192 GB of ECC VRAM allows loading models up to 180 billion parameters in 8 bits. Maximum reliability for critical environments.
Custom-made · 4U Rack · On-site installation possible
Configure this rack →
CoreIA Threadripper PRO 4 GPU
✅ Fine-tuning · Distributed Training · Massive RAG Pipelines · HPC · Simulation
The ultimate workstation for demanding production environments. Featuring a Threadripper PRO sTR5 platform scalable up to 96 cores and 2 TB of ECC RDIMM RAM. Designed for mixed workloads including AI, 3D rendering, simulation, and HPC. The most scalable solution in our catalog.
Custom-made · Custom quote · On-site installation
Request a quote →Which local AI PC suits your profile?
| Profile | Recommended Configuration | Target LLM models (May 2026) | Budget |
|---|---|---|---|
| Sole proprietor | CoreIA RTX 5060 Ti | Qwen 3.5 14B, Mistral Medium 3.5, Llama 4 Scout | from €2,068 |
| Compact individual workstation ⭐ | CoreIA GB10 (ASUS Ascent GX10) | Up to 200B in 4-bit | from 6 999 € |
| Mixed use: AI + intensive office work | CoreIA Radeon AI PRO R9700 | Gemma 4 26B, Qwen 3.5 32B | from €4,162 |
| 30B models in 8-bit, light fine-tuning | CoreIA RTX 5090 | Qwen 3.5 32B, Gemma 4 26B | from €10,291 |
| Team, 20 to 30 people simultaneously, internal AI server | CoreIA 2x RTX 5090 | 70B models in 8-bit, simultaneous inference | from €20,954 |
| Continuous production, fine-tuning 70B+ | CoreIA 2x RTX PRO 6000 Blackwell ECC | Models up to 180B in 8-bit | from €48,508 |
| HPC AI Infrastructure / R&D | CoreIA Threadripper PRO 4 GPU | The largest open models with 4 graphics cards and distributed training | from €32,647 |
Local AI for your business
Lawyers & Notaries
Analyze files and contracts, summarize them in natural language, and identify high-risk clauses while keeping your clients' data private. Leverage RAG on your internal document database.
Doctors & Clinics
Dictated reports, analyzed patient histories, and medical database queries, all performed without a single byte ever leaving your network.
Chartered Accountants & Auditors
Analyze balance sheets, detect anomalies, generate reports — without ever uploading your clients' confidential figures.
Consulting Firms & R&D
Leverage AI for your research and simulations without exposing patents, formulas, or project data to third-party services.
SMEs & Executive Offices
AI assistant connected to your internal documents, procedures, and CRM — for all your teams, on your network, without external access.
Developers & Tech Teams
Coding assistance (Kimi K2.6, Qwen 3.5 Coder), debugging, refactoring — entirely locally with your proprietary codebase.
Frequently Asked Questions — Local AI PC 2026
What is the best local LLM in May 2026?
It depends on the use case. Llama 4 Scout 17B offers the best value for money and VRAM (12 GB) for general use. Qwen 3.5 14B excels in multilingual support and French. DeepSeek V4 Flash is best for reasoning and coding. Gemma 4 26B QAT is the fastest (85 tok/s on consumer GPUs). For servers with more VRAM, DeepSeek V4 Pro and Kimi K2.6 reach the level of the best proprietary models.
Can a local LLM rival ChatGPT in 2026?
For almost all daily professional tasks, yes. DeepSeek V4 Pro achieves 90.1% on GPQA Diamond — on par with GPT-5-mini. Mistral Medium 3.5 scores 77.6% on SWE-Bench Verified for coding. The remaining gap lies in highly complex reasoning tasks and advanced multimodality. For legal, medical, and accounting uses, a good local model is more than sufficient.
Do you need technical knowledge to use a local LLM?
No. Our workstations come with Ollama and Open WebUI pre-installed upon request — an intuitive web interface similar to ChatGPT, running entirely locally from a browser. No command line is required for daily use.
Can you connect your documents to a local LLM (RAG)?
Yes. Open WebUI natively integrates document RAG — upload your PDFs, Word, or Excel files and query them directly in natural language. For more advanced pipelines, n8n can orchestrate complete workflows between your files, your local LLM, and your business applications.
Do you deliver outside of France?
Yes, Radiance Systems delivers throughout the European Union. On-site installation is available in France and neighboring countries. Remote installation is also available via SSH or TeamViewer.
