1. How does the Certified Fit Audit work, and is it really free?
Before any hardware is built, we conduct a comprehensive technical intake to validate your specific model parameters, dataset size, and inference/training patterns against thermal, VRAM, and power constraints. We deliver a written hardware specification blueprint guaranteeing that your system will handle your specific workload without bottlenecking. This manual engineering service is fully funded (£0.00) for UK-based AI/ML teams. There is no deposit required, no hidden fee, and no obligation to purchase hardware.
2. How do your workstations support UK HMRC R&D claims?
Consumer PC receipts often fail HMRC audits for R&D tax credits. We provide bundled, technical utility statements and proper compliance documentation with every build, proving the hardware is specifically provisioned for R&D inference and training workloads, protecting you from tax leakage.
3. Which high-VRAM GPUs are available for local inference?
We supply architectures configured specifically to eliminate "Out of Memory" (OOM) errors and avoid recurring cloud compute costs. This includes NVIDIA Blackwell, H100, and RTX 6000 Ada Generation GPUs (ranging from 48GB to 192GB VRAM per card), scaled to your specific parameter requirements.
4. How do you handle PCIe lane allocation for multi-GPU setups?
Underspecced PCIe lanes are a primary cause of multi-GPU bandwidth throttling. During the audit, we validate your required lane allocation and specify platforms with sufficient native PCIe 5.0 lanes (such as AMD Threadripper Pro, EPYC, or Intel Xeon W-series). We also specify NVLink configurations for distributed inference on 70B+ parameter models where direct GPU-to-GPU bandwidth is critical.
5. Are your systems built with ECC DDR5 memory?
Yes. Where the platform supports it, we specify ECC-validated DDR5 memory, including channel population strategy and speed grade validation. ECC is mandatory for our sustained training and long-running inference builds to ensure memory error correction and job stability.
6. How do your configurations handle ATX 3.1 transient power spikes, and why do you utilize dual-PSU architectures?
Multi-GPU arrays—such as dual NVIDIA RTX PRO 6000 Blackwell setups—generate microsecond-long transient power spikes that can double the nominal TDP, tripping the over-current protection (OCP) on standard single-PSU configurations. To prevent this, we split the load across an isolated dual-PSU architecture. A primary 1600W unit (like the be quiet! Dark Power Pro 13) runs the motherboard, CPU, and NVMe drives, while a secondary 1000W unit (like the Corsair SF1000L) is dedicated strictly to auxiliary GPU power rails. This physical separation ensures that massive current draws on the 12Vhpwr / 12V-2x6 lines cannot pull down voltage on the EPS or 24-pin rails, eliminating hard system resets during compute bursts.
7. How does an 8-channel memory architecture impact local inference throughput compared to standard consumer platforms?
Standard consumer desktop platforms are physically bottlenecked by dual-channel memory architectures, dropping to ~60–80 GB/s of bandwidth when large models overflow physical VRAM and spill into system RAM. We eliminate this bottleneck by routing workloads through the AMD Threadripper Pro 7995WX on an ASUS PRO WS WRX90E-SAGE SE motherboard. Fully populating all 8 native memory channels with matched Kingston FURY Renegade Pro DDR5 kits yields over 200 GB/s of raw system memory bandwidth. This wider bus maximizes token-per-second performance during hybrid offloading, KV cache swapping, and large embedding executions.
8. What specific thermal mitigation strategies prevent thermal throttling in high-density multi-GPU enclosures?
Stacking multiple high-TDP cards in consumer PC cases creates dead air zones, causing the top GPU to choke on the lower card's exhaust and trigger thermal throttling within minutes of continuous compute. We resolve this by using industrial, high-static-pressure enclosures like the Silverstone RM51 4U chassis. The internal layout is calculated around a strict, linear airflow vector that forces high-CFM air directly across the PCIe slots. This continuously evacuates stagnant heat pockets and maintains stable core and VRAM junction temperatures under sustained 24/7 training and local inference workloads.
9. What are the facility power and thermal readiness requirements for these nodes?
Multi-GPU setups have rigorous infrastructure demands. A single high-density node can require dedicated 240V circuits and generate substantial thermal output. Your Certified Fit Audit will explicitly detail the exact kilowatt draw and BTU heat dissipation of your proposed configuration. This allows your facilities team or datacenter provider to validate your power availability and cooling capacity before the build begins.
10. What deployment support and hardware warranties are included?
All Alon Products infrastructure builds include a standard hardware warranty covering component defects. For Tier 1 and Tier 2 enterprise deployments running mission-critical inference or training workloads, we provide optional operational Service Level Agreements (SLAs). These SLAs guarantee priority remote diagnostics and expedited hardware replacement options directly from our UK engineering lab to minimize compute downtime.