NVIDIA RTX PRO 6000 Blackwell MAX-Q 96GB GPU 서버 호스팅 안내
Dedicated bare-metal NVIDIA RTX PRO 6000 Blackwell MAX-Q 96GB GPU server operated directly by MyIP.co.kr. Enterprise-class workstation GPU with 96GB GDDR7 ECC VRAM, 24,064 CUDA cores, and 752 5th-gen Tensor cores (FP4). Ideal for dense data-center deployments, air-cooled workstations, and deskside multi-GPU inference servers.
■ Hardware Specifications
| GPU Model | NVIDIA RTX PRO 6000 Blackwell MAX-Q 96GB |
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| Architecture | Blackwell Pro (GB202) |
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| CUDA Cores | 24,064 |
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| Tensor Cores | 752 (5th gen, FP4) |
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| RT Cores | 188 (4th gen) |
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| VRAM | 96 GB GDDR7 ECC |
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| Memory Bandwidth | 1,792 GB/s |
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| FP32 Performance | 110+ TFLOPS |
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| Form Factor | Dual-slot blower · active cooling · 10.5-inch length |
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| Interface | PCIe Gen5 x16 · MIG · ECC |
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| Base Server | Intel Xeon Silver 4110 / E5-2650L · 64GB RAM · 512GB NVMe |
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| Traffic | 5TB/month free (overage: 40 KRW per GB) |
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■ What makes MAX-Q different
- Workstation blower cooler - Front intake / rear exhaust blower lets you pack multiple GPUs tightly in 1U/2U servers and 2-4 way workstations.
- Same 96GB ECC VRAM - VRAM capacity, bandwidth, and ECC are identical to the full model - LLM 70B+ inference and fine-tuning works as-is.
- MIG virtualization - Partition one GPU into up to 4-7 instances for multi-tenant inference serving.
■ Who Is This For?
- LLM inference providers - Serve Llama 3 70B / Qwen2.5 72B / Mixtral 8x22B via vLLM, TGI, or TensorRT-LLM
- AI startups - Foundation-model fine-tuning (LoRA/QLoRA/Full) and RAG infrastructure
- Shared inference platforms - MIG-based multi-tenant inference, GPU-as-a-service businesses
- Enterprise AI R&D - On-premise LLM deployment, large-dataset training, digital twin and HPC
- Video generation studios - Sora-class video generation, high-resolution Stable Video Diffusion, 3D rendering
■ Supported Latest AI Models & Use Cases
Run the latest 2025-2026 open-source models in a CUDA 12.x / cuDNN / PyTorch 2.x environment. Pull checkpoints from Hugging Face or CivitAI and launch with ComfyUI, Automatic1111 WebUI, text-generation-webui, vLLM, or Ollama.
Image Generation
- FLUX.1 (Black Forest Labs) - FLUX.1 [dev], [schnell], Pro. Photo-realistic quality with unmatched hand and text accuracy
- Stable Diffusion 3 / SDXL / SD 1.5 - Fully compatible with the legacy LoRA ecosystem, ControlNet, IP-Adapter, and Regional Prompter
- Z-image - Latest community multimodal image model
- ComfyUI - Node-based visual workflow builder; automate complex pipelines (upscale, face-swap, inpaint, AnimateDiff)
Video Generation
- Wan (Alibaba) - High-quality video and image model
- LTX-Video (Lightricks) - Real-time video generation optimized for low-latency inference
- MiniMax H3 - Top-tier video generation
- Text-to-Video, Image-to-Video, pose control, and camera-trajectory control all supported
AI Drama & Short-form Content
- End-to-end pipeline: Script (LLM) → Character design (FLUX) → Scene video (LTX / Wan) → Voice (TTS) → Subtitles (Whisper)
- Fully automate with ComfyUI workflows - generate complete shorts or drama from a single prompt
- Produce YouTube Shorts, TikTok, Instagram Reels, and web-drama content
LLM Inference
- Qwen 3 (Alibaba Tongyi) - Multilingual, multimodal, code and math-focused, open weights
- Llama 3.3 / 70B (Meta) - General chat and coding
- DeepSeek V3 / R1 - Reasoning-specialized, OpenAI o1-class performance
- Mixtral 8x22B, Mistral Large - MoE architectures
- Serve locally via vLLM, TGI, Ollama, text-generation-webui, or llama.cpp
Music & Audio Generation
- Stable Audio (Stability AI) - Local music generation conditioned on genre, BPM, and mood
- MusicGen (Meta) - Melody-conditioned music generation
- AudioLDM 2 - Unified voice, sound-effects, and background-music generation
- Bark / XTTS v2 - Multilingual TTS, voice cloning, emotion control
- Whisper Large v3 - Automatic subtitles in 100+ languages
■ What's Included
- Monthly billing (cancel anytime)
- 1 static IPv4 included
- SSH / root password access
- Network Bandwidth: 1G / 1000Mbps
- 5TB/month traffic on 1Gbps port
- Optional pre-installed CUDA 12.x + cuDNN + PyTorch 2.x stack
- Delivery time: 1-3 business days
■ FAQ
Q1. Is this bare-metal or virtualized?
100% bare-metal dedicated server. No GPU passthrough contention - MIG partitioning is at your discretion to run your own tenancy.
Q2. Can I run 70B-class LLMs on this?
With 96GB VRAM, Llama 3 70B / Qwen2.5 72B load directly in FP16/BF16. With INT4/AWQ quantization, you can serve Llama 3 405B across a 2-GPU setup.
Q3. Can I add more RAM or storage?
Yes. Upgrade at checkout to 128GB RAM (+150,000 KRW/month) or NVMe 1TB (+40,000 KRW/month) or NVMe 2TB (+80,000 KRW/month). Later upgrades available via ticket.
Q4. What happens if I exceed the 5TB monthly traffic?
Overage is 40 KRW per GB. No service interruption. Usage resets on the 1st of each month. Contact sales for unmetered 10Gbps options.
MyIP.co.kr - Trusted Korean hosting provider with 15 years of track record. Enterprise GPU server consultation: Mon-Fri 09:00-18:00 KST
