Hard engineering behind your compute
Modern compute is, fundamentally, GPU compute. Xinying Zhisuan works at the core of accelerator hardware — diagnostics, chip-level repair, genuine parts and performance tuning. Factory-grade craft, auditable process, and cards that go back into production.
BeijingShanghaiShenzhen7×24 fault response
What we do
Four service lines covering the full lifecycle of compute hardware — diagnose, repair, verify, tune, and supply.
Hardware health screening covers core component triage and circuit integrity verification. On the software side we run BIOS, driver and management-tool compatibility checks, ECC validation, log monitoring and compliance auditing. Every engagement ends in a full-chain report.
End-to-end repair from passive components to high-end silicon: GPU die reflow and reballing, VRAM package diagnosis and replacement, PCB microcrack detection and repair, thermal and liquid-cooling maintenance, gold-finger replating, high-speed trace repair, and vBIOS reflashing.
100% original parts, sourced exclusively through authorised distributors, with complete purchase contracts, supply certificates and invoices retained for traceability. No refurbished pulls, no grey-market assemblies. Warehousing in Beijing, Shanghai and Shenzhen with 7×24 logistics.
A closed loop from safe teardown and precision replacement through custom upgrades to acceptance testing: memory expansion, PCIe lane bandwidth bottleneck analysis, GPU driver and CUDA environment tuning, deep-learning framework configuration, and OS kernel parameter adjustment.
Technical direction
GPU fault localisation has always depended on senior engineers. The more experienced the engineer, the more accurate the call — but expertise does not clone, does not parallelise, and does get tired. Our direction is to make that reasoning chain explicit and learnable, so machines can carry the first layer of judgement.
The following describes Xinying Zhisuan’s R&D direction and methodology — the capability path we are building. It is not a commercially available product and constitutes no delivery commitment.
Our repair system forms a closed data loop from work-order creation to final delivery: incoming inspection, initial test, quotation, repair, final test, acceptance — each stage producing structured records and measurement data. What accumulates is labelled fault samples with confirmed remedies and re-test verification. That is not something you can buy.
Fault signatures do not live only in logs. We capture software telemetry (DCGM temperature, power and ECC correction rates; Fieldiag diagnostic codes; GPU_burn sustained-load curves) alongside physical evidence (infrared thermal fields, X-ray solder imaging, oscilloscope waveforms) — a multimodal feature set for the same card.
Our CTO’s “signal-tracing diagnostic method” was adopted into Huawei’s global repair manual. At its core it is an inference path running backwards from an observed anomaly to the failing component. Our work is to express that expert reasoning as trainable labelling rules and decision structure — so the model learns method, not just correlation.
Cluster logs and fault data are highly sensitive customer assets. The models are designed for on-premise and private deployment, with inference running inside the customer environment and data never leaving the site — consistent with our existing isolation practices, ISO27001 framework, and China’s Data Security Law and PIPL.
Move the senior-engineer judgement forward to intake, compressing the initial-test-to-quote cycle.
Fewer teardowns driven by misdiagnosis, and less secondary damage risk to precision components.
Identify degradation signatures from long-run telemetry trends and warn before an outage.
Capabilities
Equipment, cleanroom, process and people — the recovery rate only holds when all four are in place.
Every member of the technical team comes from a tier-one manufacturer, with more than twenty years on GPU accelerators and 15+ years and ten thousand cards of repair experience. Work is tiered: senior experts own the repair framework and complex localisation; principal engineers, fluent in NVIDIA and AMD schematics, handle 90% of hardware diagnosis and repair.
Our repair floor is built to ISO cleanroom standard with ±0.1℃ / ±1%RH environmental control and modular clean cabins. Removing dust, static and humidity swings prevents secondary damage to precision components — lifting GPU recovery to 95%, more than 20% above the industry norm.
Initial inspection → repair → 72-hour burn-in, with 100% genuine replacement parts. Main and sub-processes run in parallel, each stage emitting its own document: incoming inspection report, initial test report, quotation, repair report, final test report, and outbound inspection report.
Large accounts get a dedicated enclosed repair zone, a ring-fenced technical team, fully traceable repair video, and confidentiality auditing to guarantee zero data leakage. Where required we build a dedicated repair workshop at a customer-designated site — physical isolation through to data control.
Process
From work-order creation to final delivery, a closed data loop — repair progress is visible in real time.
Online intake, on-site unboxing inspection
Pinpoint the fault, issue quotation and contract
Assign the repair team, open the service ledger
Real datacenter load testing with a test report
Insured express return, three-month warranty
Chosen by fleet size and response requirement — from standardised support to a dedicated on-site team.
Remote · 7×24×10
For smaller fleets (under ~100 servers) or customers with moderate response requirements.
On-site · 7×24
For medium-to-large clusters (recommended for fleets of 100+ servers), with full-time on-site coverage.
For strategic accounts
A bespoke tier for customers whose core business depends on AI compute — large internet firms and research institutions.
Case studies
Two representative engagements — one a physical-layer failure, one a thermal and power issue surfacing as software errors.
An enterprise customer, Beijing
Reported symptom：The customer reported an H200 module failing to operate. Initial consultation pointed to a suspected baseboard fault, and the unit was shipped to Xinying for professional inspection.
A datacenter operator, Xinjiang
Reported symptom：The customer reported software errors on an H100 accelerator affecting production systems. The team opened a remote triage and repair workflow.
Industries served
Our customers operate where compute continuity matters most — where a day of downtime costs far more than the repair.
More than 30 well-known enterprises served to date, with 97% customer satisfaction.
Contact
Describe the symptom and the card model and we will assign an engineer at the matching tier. Difficult cases can go straight to the technical team.
15820792879
Mr. Dai
Coming soon
7×24 fault response
Service centres: Beijing · Shanghai · Shenzhen