Xincuan 서버 | 엔터프라이즈 서버 하드웨어 공급업체
The GPU That Runs Your CAD, Your AI Inference, and Your Video Editing — All on One Workstation
Engineers do not ask for an H100. They ask for a workstation GPU that opens a 2 GB CAD assembly without spinning the fan, renders a photorealistic product visualization in minutes, runs a local LLM for code completion, and drives three 4K monitors — simultaneously. The NVIDIA RTX 6000 Ada Generation is that GPU: 48 GB of GDDR6 with ECC, 18,176 CUDA cores, 568 텐서 코어, 142 RT Cores, and a 300W power envelope that fits in a standard workstation tower. It is the professional GPU that replaces the dual-GPU configuration of previous generations with a single card.
기술 사양
| 매개변수 | 사양 |
|---|---|
| GPU 아키텍처 | NVIDIA Ada Lovelace |
| 쿠다 색상 | 18,176 |
| 텐서 코어 | 568 (4세대) |
| RT Cores | 142 (33세대) |
| 메모리 | 48 GB GDDR6 with ECC |
| 메모리 대역폭 | 960 GB/초 |
| 메모리 버스 | 384-조금 |
| 인터페이스 | PCIe 4.0 x16 |
| FP32 성능 | 91.1 테플롭스 |
| FP16 텐서 코어 | 362 테플롭스 (희박하게: 733) |
| INT8 텐서 코어 | 733 탑 (희박하게: 1,466) |
| Ray Tracing | RTX-accelerated ray tracing, OptiX 8, Vulkan RT |
| NV링크 | 지원되지 않습니다 (single GPU) |
| Display Outputs | 4x DisplayPort 1.4a (up to 8K@60Hz per output) |
| TDP | 300승 (듀얼 슬롯, active cooling with blower fan) |
| 전원 커넥터 | 1x PCIe CEM 16-pin (12VHPWR) |
| vGPU 지원 | NVIDIA vWS, vPC, vApps — up to 16 virtual GPUs |
| ISV Certifications | Autodesk (AutoCAD, Inventor, 3ds Max, Maya), SolidWorks, Siemens NX, CATIA, Creo, ANSYS, DaVinci Resolve, Adobe Creative Cloud |
| 물리적 | 267 엑스 112 mm (듀얼 슬롯), 1.3 킬로그램 |
| 온도 | 0섭씨 45도 |
| 보증 | 3-년도 (제조업체) |
RTX 6000 Ada vs RTX 4000 Ada vs A100 — Professional GPU Comparison
| 특징 | RTX 6000 에이다 (48GB) | RTX 4000 에이다 (20GB) | A100 80GB |
|---|---|---|---|
| 메모리 | 48 GB ECC GDDR6 | 20 GB ECC GDDR6 | 80 GB HBM2e |
| 쿠다 색상 | 18,176 | 6,144 | 6,912 |
| Ray Tracing / RT Cores | 예 (142 RT) | 예 (44 RT) | No RT cores |
| Display Outputs | 4x DP 1.4a | 4x mini-DP 1.4a | 없음 (compute-only) |
| TDP | 300승 | 130승 | 300승 |
| 최고의 대상 | CAD, 표현, AI 추론, VDI | Entry pro workstation, compact builds | AI 훈련, HPC (no display) |
| 가격 (상대적인) | 100 퍼센트 | ~35% | ~75 percent (2026 market) |
Why the RTX 6000 Ada for AI Development Workstations
Software engineers running local LLMs (Llama 3 8비, CodeLlama 34B, Mistral 7B) need 20-48 GB of GPU memory. RTX 6000 Ada’s 48 GB runs 8B models at full FP16 precision and 34B models with 4-bit quantization — all locally, all private, no API calls, no data leaving the workstation. With Tensor Core acceleration for INT8 and FP16, the RTX 6000 Ada delivers roughly 60 percent of an A100’s inference throughput at 40 percent of the price, with the added benefit of display outputs and ISV-certified graphics support. For data science teams that need both AI development and professional graphics in one workstation, the RTX 6000 Ada is the only GPU that does both.
Compatible Workstation and Server Platforms
PCIe 4.0 x16. Compatible with Dell Precision workstations (7920, 7960), Lenovo ThinkStation P7/PX, HP Z8, and any workstation or server with a PCIe 4.0 x16 slot and 300W GPU power delivery. Server compatibility: 델 R760xa, R770, xFusion 2288H V7 with GPU enablement kit. Requires 12VHPWR power cable — included in the GPU box or available as a server option.
Xicuan을 통한 소스
We supply RTX 6000 Ada GPUs for workstations and servers with factory-direct pricing, 3-1년 보증, 그리고 글로벌 배송.
