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Precision-engineered systems for extreme performance. Every component selected for your exact requirements. Technical specifications that translate directly to capabilities.
Architected for frontier-scale compute with redundant power, network segmentation, and thermal autonomy.
Delivered as on-site racks, remote colocation, or hybrid edge clusters tuned to your constraints.
Every configuration is supervised by Makina engineers who map workloads, power, cooling, compliance, and budget before finalizing hardware.
Makina Custom Lab
Enterprise-scale systems designed around your AI roadmap with concierge build, deployment, and lifecycle operations.
AMD Threadripper PRO 7995WX • 96 cores / 192 threads • 5.1 GHz boost • 384MB L3 cache
256GB DDR5-6400 ECC • 8-channel • Error correction • 102.4 GB/s bandwidth
4× NVIDIA RTX 6000 Ada • 192GB total VRAM • 2,867 TFLOPS FP16 • NVLink interconnect
32TB NVMe RAID 0 • 28,000 MB/s read • 22,000 MB/s write • Enterprise SSDs
Custom airflow design • 12× Noctua industrial fans • Positive pressure • <35dB operation
Investment Range
- Engineering pod assigned within 12 hours of submission.
- Includes CAD layouts, power diagrams, and thermal modeling.
- Lifecycle operations with 24/7 performance observability.
Need to align with compliance or facilities? Our architects coordinate with your legal, security, and infrastructure teams before final sign-off.
Global deployment, remote monitoring, and on-prem support are available as add-ons.
Processor Architecture
The brain of your system. Determines parallel processing capability and AI inference speed.
Workstation Class
AMD Threadripper PRO 7995WX • 96 cores / 192 threads • 5.1 GHz boost • 384MB L3 cache
Handles 100+ concurrent AI agents, real-time code generation across multiple projects, and simultaneous training of medium-sized models.
Server Grade
Dual AMD EPYC 9754 • 256 cores / 512 threads • 3.1 GHz base • 512MB L3 cache
Enterprise-level performance for training large language models, running entire AI ecosystems, and managing thousands of autonomous agents simultaneously.
Extreme Performance
Custom liquid-cooled cluster • 512+ cores • Distributed architecture • Unlimited scalability
Unprecedented computational power for frontier AI research, training models from scratch, and running entire AI operating systems with zero latency.
System Memory
Determines how many AI models you can load simultaneously and the size of datasets you can process.
Professional
256GB DDR5-6400 ECC • 8-channel • Error correction • 102.4 GB/s bandwidth
Load multiple 70B parameter models simultaneously, process datasets up to 500GB in memory, and run complex multi-agent systems without swapping.
Enterprise
1TB DDR5-6400 ECC • 12-channel • Advanced error correction • 307.2 GB/s bandwidth
Run the largest open-source models (405B+ parameters), process terabyte-scale datasets, and maintain perfect context across unlimited applications.
Extreme Capacity
2TB+ DDR5-6400 ECC • 16-channel • Persistent memory options • 614.4 GB/s bandwidth
Load entire model ecosystems into memory, process unlimited data without disk I/O, and achieve instant context switching across all applications.
AI Compute Units
Dedicated AI acceleration hardware. Critical for training, inference speed, and real-time generation.
Professional
4× NVIDIA RTX 6000 Ada • 192GB total VRAM • 2,867 TFLOPS FP16 • NVLink interconnect
Train custom models up to 70B parameters, generate code/images/video in real-time, and run multiple AI workloads simultaneously with zero interference.
Data Center
8× NVIDIA H100 • 640GB HBM3 • 32,000 TFLOPS FP16 • NVLink Switch System
Train models up to 405B parameters, achieve sub-second inference on largest models, and generate entire applications in real-time with perfect quality.
Blackwell Architecture
16× NVIDIA B200 • 3TB HBM3e • 80,000+ TFLOPS • Next-gen interconnect
Train frontier models from scratch, run multiple 405B+ models simultaneously, and achieve instant generation of any digital artifact with zero latency.
Extreme Performance
32× NVIDIA B200 • 6TB+ HBM3e • 160,000+ TFLOPS • Custom cooling solution
Unprecedented AI compute power for training the largest models, running entire AI ecosystems, and achieving performance beyond current benchmarks.
Storage Architecture
High-speed storage for your AI models, datasets, and generated content. All data stays local.
Professional
32TB NVMe RAID 0 • 28,000 MB/s read • 22,000 MB/s write • Enterprise SSDs
Store hundreds of AI models, terabytes of training data, and years of generated content with instant access. Load any model in under 2 seconds.
Enterprise
128TB NVMe RAID 10 • 56,000 MB/s read • 44,000 MB/s write • Redundancy + performance
Maintain complete AI ecosystem locally with full redundancy. Zero data loss risk, instant model switching, and unlimited content generation capacity.
Extreme Capacity
512TB+ NVMe + Optane • 100,000+ MB/s • Tiered storage • Persistent memory cache
Store every AI model ever created, maintain infinite context history, and achieve zero-latency access to any data. Your entire digital life, instantly accessible.
Thermal Management
Critical for sustained performance. Better cooling = higher clock speeds and longer component life.
Advanced Air
Custom airflow design • 12× Noctua industrial fans • Positive pressure • <35dB operation
Maintain peak performance 24/7 with near-silent operation. Perfect for home offices and studios where noise matters.
Hybrid Cooling
Custom loop for CPU/GPU • Air for components • 3× 480mm radiators • <30dB operation
Maximum performance with minimal noise. Sustain boost clocks indefinitely and extend component lifespan by 40%.
Extreme Liquid
Full custom loop • External radiator system • Phase-change option • <25dB operation
Achieve overclocked performance 24/7 with whisper-quiet operation. Components run 20-30°C cooler, enabling performance beyond factory specifications.
Detailed Requirements
Provide the context behind your workloads. We translate requirements into a fully engineered proposal.
Response Time
Engineering pod responds within 12 hours with discovery questions.
Architected Proposal
Includes detailed bill of materials, deployment plan, and performance modeling.
Build Timeline
8–12 week production with weekly progress telemetry and acceptance testing.