GPU Server — the power of NVIDIA A40 → H100, supplied to order in Vietnam
NVIDIA Ampere, Ada Lovelace, and Hopper GPUs for AI training, inference, rendering, cloud gaming and HPC. 4U chassis supporting 4× or 8× full-height GPUs. Hosted in a Level 3 Information Security DC with 25 Gbps uplink.
- NVLink
- 900 GB/s
- CPU
- 2× Xeon Plat. 8480
- RAM
- 2 TB DDR5
Choose your GPU by workload
Need to train a 70B LLM, render in Blender, stream games, or run batch inference? Each workload has its optimal GPU.
NVIDIA A40
NVIDIA A100
NVIDIA L40S
NVIDIA H100
Popular GPU packages — supplied to order
- GPU 1× NVIDIA A40 48GB
- CPU 2× Xeon Silver 4216
- RAM 128 GB DDR4 ECC
- NVMe 2× 1.92 TB RAID 1
- HDD 4× 2.4 TB SAS
- Uplink 10 Gbps
- OS Ubuntu + CUDA 12
- GPU 2× NVIDIA L40S 48GB
- CPU 2× Xeon Gold 6338
- RAM 256 GB DDR4 ECC
- NVMe 4× 3.84 TB RAID 10
- HDD 8× 8 TB
- Uplink 2× 25 Gbps
- OS Ubuntu + PyTorch / TF
- GPU 4× NVIDIA A100 80GB SXM
- NVLink full mesh 600 GB/s
- CPU 2× Xeon Platinum 8358
- RAM 512 GB DDR4 ECC
- NVMe Gen4 8× 3.84 TB
- Uplink InfiniBand 200G
- OS NVIDIA AI Enterprise
- GPU 8× H100 80GB SXM5
- NVSwitch 900 GB/s mesh
- CPU 2× Xeon Platinum 8480+
- RAM 2 TB DDR5 ECC
- NVMe Gen5 16× 7.68 TB
- Backend InfiniBand NDR 400G
- SLA 99.9% · dedicated contract
Prices exclude VAT
Who uses GPU servers?
Each GPU class has its own sweet spot — we help you pick the right one.
LLM training & fine-tuning
Llama, Mistral, Qwen — fine-tune on enterprise data. Embedding, RAG, vector search.
Real-time inference
Serve ChatGPT-like APIs, image generation (SDXL, Flux), TTS, OCR at production scale.
3D render · video AI
Blender, Cinema 4D, Octane, V-Ray. 4K/8K upscaling, AI motion, post-production render farm.
Game streaming · vGPU
Cloud gaming, GeForce NOW-style, MMO game farming. vGPU profiles split across multiple users.
7-day GPU demo — no cost, no commitment
Run your real workload on BKNS infrastructure before deciding. Setup support for CUDA, PyTorch, Triton, vLLM. Jupyter Lab included.
Q&A about GPU Servers
Need a custom PoC with your own model? Contact AI solution team →
A40 / L40S are best for inference, rendering, models under 13B params. A100 80GB is the gold standard for LLM training 7-30B, with NVLink. H100 is for 70B+ LLMs, foundation models, with FP8 Tensor Cores delivering up to 6x the throughput of A100's FP16 Tensor Cores (per NVIDIA's Hopper architecture).
MIG (Multi-Instance GPU) allows splitting one A100/H100 GPU into up to 7 instances isolated in compute & memory. Ideal for multi-tenant inference, education, dev sandboxes. BKNS supports MIG configuration per requested profile.
Yes. BKNS holds licenses for NVIDIA RTX vWS, vPC, vApps. One A40 can be split into 8-16 vGPU instances at 3-6 GB for VDI/CAD users. L40S supports cloud gaming with B-series 4K profiles.
Pre-installed: CUDA 12.x · cuDNN · NCCL · PyTorch · TensorFlow · JAX · vLLM · TGI · Triton Server. Jupyter Lab + Tensorboard included. You can also pull NGC docker images directly — BKNS maintains an NGC mirror cache.
Yes, as long as slots are available. BKNS can migrate VM/disk images to a different GPU chassis (cold migrate). Snapshot dataset, stop training, migrate, restart training from checkpoint.
Yes. Price includes power (PDU) + cooling. An H100 8-way system consumes around 6 kW — BKNS arranges suitable power and cooling per order, confirmed with you before deployment. No extra per-kWh electricity surcharge.