Question 1

How is server maintenance service charged?

Accepted Answer

Maintenance fees are mainly quoted based on the number of equipment, brand models, and service levels (response time, on-site availability, spare parts method). We provide various modes including annual full-machine maintenance, per-repair service, and single inspection. Free maintenance solutions and quotations can be provided based on your equipment list, with no hidden fees. Welcome to submit your equipment list online for a quotation.

Question 2

Can you provide on-site repair service? Which cities are covered?

Accepted Answer

Yes. We provide on-site inspection, repair and deployment services, covering key cities nationwide. Local engineers can arrive quickly; for remote areas, remote diagnosis can be handled first, and engineers can be arranged to travel if necessary. Specific coverage and on-site timings can be confirmed with customer service.

Question 3

What is the response time for hardware failures?

Accepted Answer

We provide 7×24-hour emergency response. Contracted maintenance customers enjoy priority response channels: phone/remote immediate access, remote intervention within 30 minutes for critical business faults, and on-site arrival time agreed by city level, minimizing business interruption to the maximum extent.

Question 4

How long is the warranty for repaired equipment?

Accepted Answer

Repaired and replaced parts come with warranty. Original parts generally have a warranty of 3 months to 1 year (depending on part type), and repair workmanship also comes with warranty commitments. Same fault can be repaired free of charge within the warranty period. Specific warranty period will be clearly marked on the repair order.

Question 5

Is the quality of second-hand server equipment guaranteed?

Accepted Answer

Guaranteed. All second-hand equipment we sell undergoes strict testing (power-on self-test, stress testing, component health check), with condition and warranty status truthfully disclosed, and corresponding warranty services provided. Second-hand equipment offers high cost-effectiveness, suitable for budget-limited or testing/non-critical scenarios. Purchase with confidence.

Question 6

Can you assist with data migration and system deployment?

Accepted Answer

Yes. We provide one-stop services from equipment racking, system installation, cluster deployment to data migration, supporting Oracle database migration, RAC setup, GPU computing platform deployment, etc. During migration, we focus on data security and business continuity, and can arrange maintenance window operations.

Question 7

Are the replacement parts original?

Accepted Answer

We have our own spare parts warehouse, stocked with a large number of original and used parts for NVIDIA and Oracle servers. For repair and replacement, we prioritize using original parts and truthfully inform the source of spare parts (brand new original/original used), ensuring quality traceability. Key spare parts come with warranty.

Question 8

Can you serve customers in other cities?

Accepted Answer

Yes. In addition to local on-site service, we serve customers in different cities through remote diagnosis, spare parts express delivery, on-site resident/assignment and other methods. Many long-term maintenance customers are distributed across the country. Through remote operation and maintenance platforms, efficient responses can be achieved, with remote service offering the same quality and price as local service.

Question 9

What is the difference between NVIDIA B300 and H200, and which should I choose?

Accepted Answer

B300 uses the Blackwell Ultra architecture with 288GB HBM3E per GPU, 8TB/s bandwidth and about 15 PFLOPS NVFP4, favoring large-model inference and long context. H200 uses Hopper with 141GB memory and about 1979 TFLOPS FP8, shares the H100 software stack, and suits mixed training and inference on a tighter budget. Choose B300 for inference-heavy, very large models; choose H200 for training-heavy work that reuses existing H100 experience.

Question 10

How much memory does a B300 have, and what is the total for an 8-GPU server?

Accepted Answer

Each B300 GPU has 288GB of HBM3E with 279GB usable and 8TB/s bandwidth. An 8-GPU DGX B300 system provides about 2.1TB of total GPU memory, roughly 144 PFLOPS FP4 and 72 PFLOPS FP8, nearly double the roughly 1.1TB available on an 8-GPU H200 system.

Question 11

What size model can 141GB of H200 memory handle?

Accepted Answer

One H200 with 141GB can roughly serve a 70B-parameter model in FP16. An 8-GPU system with about 1.1TB total memory supports 400B-class models for multi-GPU inference or mid-scale training. With FP8/FP4 quantization, tensor parallelism and longer context, the practical model size changes and should be calculated from the model structure.

Question 12

Accepted Answer

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