Legacy
- VRAM
- 32 GB
- 메모리
- HBM2
- 대역폭
- 1.2 TB/s
- TDP
- 300 W
PCIe dual-slot FHFL · HPC / AI
가속기
적합한 가속기를 찾으세요.
GPU 하드웨어, 사양, 시장에서 이용할 수 있는 곳을 비교하세요.
- 가속기
- 119
- 제조사
- 4
- 현행으로 표시됨
- 35
가속기 필터
Legacy
- VRAM
- 64 GB
- 메모리
- HBM2E
- 대역폭
- 1.6 TB/s
- TDP
- 300 W
PCIe dual-slot FHFL · HPC / AI
Legacy
- VRAM
- 128 GB
- 메모리
- HBM2E
- 대역폭
- 3.2 TB/s
- TDP
- 560 W
OAM Module · HPC / AI training
Previous
- VRAM
- 192 GB
- 메모리
- HBM3
- 대역폭
- 5.3 TB/s
- TDP
- 750 W
OAM Module · AI training / inference / HPC
Previous
- VRAM
- 256 GB
- 메모리
- HBM3E
- 대역폭
- 6 TB/s
- TDP
- 1000 W
OAM Module · AI training / inference / HPC
Current
- VRAM
- 288 GB
- 메모리
- HBM3E
- 대역폭
- 8 TB/s
- TDP
- 1000 W
OAM Module · AI training / inference / HPC
Current
- VRAM
- 288 GB
- 메모리
- HBM3E
- 대역폭
- 8 TB/s
- TDP
- 1400 W
OAM Module · AI training / inference / HPC
Current
- VRAM
- 432 GB
- 메모리
- HBM4
- 대역폭
- 23.3 TB/s
Accelerator module · HPC / scientific AI / sovereign AI
Current
- VRAM
- 432 GB
- 메모리
- HBM4
- 대역폭
- 23.3 TB/s
Enhanced Accelerator Module (EAM) · AI training / inference
Previous
- VRAM
- 96 GB
- 메모리
- HBM2E
- 대역폭
- 2.45 TB/s
- TDP
- 600 W
Mezzanine accelerator · AI training / inference
Current
- VRAM
- 128 GB
- 메모리
- HBM2E
- 대역폭
- 3.7 TB/s
AI training / inference
Previous
- VRAM
- 24 GB
- 메모리
- GDDR6
- 대역폭
- 0.6 TB/s
- TDP
- 150 W
PCIe single-slot FHFL · AI inference / graphics / VDI
Previous
- VRAM
- 40 GB
- 메모리
- HBM2
- 대역폭
- 1.555 TB/s
AI training / inference / HPC
Previous
- VRAM
- 40 GB
- 메모리
- HBM2
- 대역폭
- 1.555 TB/s
- TDP
- 250 W
PCIe dual-slot · AI training / inference / HPC
Previous
- VRAM
- 40 GB
- 메모리
- HBM2
- 대역폭
- 1.555 TB/s
- TDP
- 400 W
SXM · AI training / inference / HPC
Previous
- VRAM
- 80 GB
- 메모리
- HBM2E
AI training / inference / HPC
Previous
- VRAM
- 80 GB
- 메모리
- HBM2E
- 대역폭
- 1.935 TB/s
- TDP
- 300 W
PCIe dual-slot · AI training / inference / HPC
Previous
- VRAM
- 80 GB
- 메모리
- HBM2E
- 대역폭
- 2.039 TB/s
- TDP
- 400 W
SXM · AI training / inference / HPC
Previous
- VRAM
- 20 GB
AI training / inference
Previous
- VRAM
- 80 GB
- 메모리
- HBM2E
AI training / inference / HPC
Previous
- VRAM
- 64 GB
- 메모리
- GDDR6
- 대역폭
- 0.8 TB/s
- TDP
- 250 W
PCIe dual-slot FHFL · VDI / graphics virtualization / cloud workstations
Previous
- VRAM
- 16 GB
- 메모리
- GDDR6
- 대역폭
- 0.2 TB/s
- TDP
- 60 W
PCIe low-profile single-slot · Edge AI / inference
Previous
- VRAM
- 24 GB
- 메모리
- HBM2
- 대역폭
- 0.933 TB/s
- TDP
- 165 W
PCIe dual-slot FHFL · AI inference / training / HPC
Previous
- VRAM
- 48 GB
- 메모리
- GDDR6
- 대역폭
- 0.696 TB/s
- TDP
- 300 W
PCIe dual-slot · Graphics / AI / virtual workstation
Previous
- VRAM
- 40 GB
- 메모리
- HBM2
- 대역폭
- 1.555 TB/s
- TDP
- 240 W
PCIe dual-slot active · AI / data science / HPC workstation
Previous
- VRAM
- 80 GB
- 메모리
- HBM2E
- 대역폭
- 1.935 TB/s
- TDP
- 300 W
PCIe dual-slot FHFL · AI training / inference / HPC
Previous
- VRAM
- 80 GB
- 메모리
- HBM2E
- 대역폭
- 2.039 TB/s
- TDP
- 500 W
SXM4 / HGX · AI training / inference / HPC
Current
- VRAM
- 180 GB
- 메모리
- HBM3E
- 대역폭
- 8 TB/s
- TDP
- 1000 W
SXM · AI training / inference / HPC
Current
- VRAM
- 192 GB
- 메모리
- HBM3E
- 대역폭
- 8 TB/s
- TDP
- 1000 W
SXM · AI training / inference / HPC
Current
- VRAM
- 192 GB
- 메모리
- HBM3E
- 대역폭
- 8 TB/s
- TDP
- 1000 W
SXM · AI training / inference / HPC
Current
- VRAM
- 192 GB
- 메모리
- HBM3E
- 대역폭
- 8 TB/s
- TDP
- 1000 W
SXM · AI training / inference / HPC
Current
- VRAM
- 288 GB
- 메모리
- HBM3E
- 대역폭
- 8 TB/s
- TDP
- 1400 W
SXM · AI training / inference / HPC
Current
- VRAM
- 186 GB
- 메모리
- HBM3E
- 대역폭
- 8 TB/s
- TDP
- 1200 W
Grace Blackwell Superchip / NVL · Large-scale AI training / inference
Current
- VRAM
- 288 GB
- 메모리
- HBM3E
- 대역폭
- 8 TB/s
- TDP
- 1400 W
Rack-scale NVL module · Frontier AI training / reasoning inference / HPC
- VRAM
- 11 GB
- 메모리
- GDDR5X
- VRAM
- 12 GB
- 메모리
- GDDR6
- TDP
- 170 W
PCIe consumer
- VRAM
- 8 GB
- 메모리
- GDDR6
- 대역폭
- 0.448 TB/s
- TDP
- 220 W
PCIe consumer
- VRAM
- 8 GB
- 메모리
- GDDR6X
- TDP
- 290 W
PCIe consumer
- VRAM
- 10 GB
- 메모리
- GDDR6X
- 대역폭
- 0.76 TB/s
- TDP
- 320 W
PCIe consumer
- VRAM
- 12 GB
- 메모리
- GDDR6X
- TDP
- 350 W
PCIe consumer
Legacy
- VRAM
- 24 GB
- 메모리
- GDDR6X
- 대역폭
- 0.936 TB/s
- TDP
- 350 W
PCIe consumer · AI / consumer compute
- VRAM
- 24 GB
- 메모리
- GDDR6X
- TDP
- 450 W
PCIe consumer
Current
- VRAM
- 16 GB
- 메모리
- GDDR6
PCIe consumer · Cloud GPU / AI workloads
Current
- VRAM
- 12 GB
PCIe consumer · Cloud GPU / AI workloads
- VRAM
- 12 GB
- 메모리
- GDDR6X
- TDP
- 285 W
PCIe consumer
Previous
- VRAM
- 16 GB
- 메모리
- GDDR6X
- 대역폭
- 0.672 TB/s
- TDP
- 285 W
PCIe consumer · AI / generative AI / rendering / consumer compute
Previous
- VRAM
- 16 GB
- 메모리
- GDDR6X
- 대역폭
- 0.717 TB/s
- TDP
- 320 W
PCIe consumer triple-slot · AI / generative AI / rendering / consumer compute
Previous
- VRAM
- 16 GB
- 메모리
- GDDR6X
- 대역폭
- 0.736 TB/s
- TDP
- 320 W
PCIe consumer triple-slot · AI / generative AI / rendering / consumer compute
Previous
- VRAM
- 24 GB
- 메모리
- GDDR6X
- 대역폭
- 1.008 TB/s
- TDP
- 450 W
PCIe consumer · AI / generative AI / consumer compute
Current
- VRAM
- 8 GB
- 메모리
- GDDR7
PCIe consumer · Cloud GPU / AI workloads
Current
- VRAM
- 16 GB
- 메모리
- GDDR7
PCIe consumer · Cloud GPU / AI workloads
Current
- VRAM
- 12 GB
- 메모리
- GDDR7
- 대역폭
- 0.672 TB/s
- TDP
- 250 W
PCIe consumer · AI inference / generative AI / consumer compute
Current
- VRAM
- 16 GB
- 메모리
- GDDR7
- 대역폭
- 0.896 TB/s
- TDP
- 300 W
PCIe consumer · AI / generative AI / rendering / consumer compute
Current
- VRAM
- 16 GB
- 메모리
- GDDR7
- 대역폭
- 0.96 TB/s
- TDP
- 360 W
PCIe consumer dual-slot · AI / generative AI / rendering / consumer compute
Current
- VRAM
- 32 GB
- 메모리
- GDDR7
- 대역폭
- 1.792 TB/s
- TDP
- 575 W
PCIe consumer · AI / generative AI / consumer compute
Current
- VRAM
- 24 GB
- 메모리
- GDDR7
- 대역폭
- 0.896 TB/s
Laptop GPU · Cloud GPU / AI workloads
Previous
- VRAM
- 144 GB
- 메모리
- HBM3E
- 대역폭
- 4.9 TB/s
- TDP
- 900 W
Grace Hopper Superchip · AI training / inference / HPC / large-memory workloads
Previous
- VRAM
- 96 GB
- 메모리
- HBM3
- 대역폭
- 4 TB/s
- TDP
- 900 W
Grace Hopper Superchip · AI training / inference / HPC
Previous
- VRAM
- 80 GB
AI training / inference / HPC
Previous Generation
- VRAM
- 94 GB
- 메모리
- HBM3
- 대역폭
- 3.9 TB/s
- TDP
- 400 W
PCIe · AI Training, AI Inference, HPC
Previous
- VRAM
- 80 GB
AI training / inference / HPC
Previous
- VRAM
- 80 GB
- 메모리
- HBM2E
- 대역폭
- 2 TB/s
- TDP
- 350 W
PCIe dual-slot · AI training / inference / HPC
Previous Generation
- VRAM
- 80 GB
- 메모리
- HBM3
- 대역폭
- 3.35 TB/s
- TDP
- 700 W
SXM · AI Training, AI Inference, HPC
Current
- VRAM
- 141 GB
- 메모리
- HBM3E
- 대역폭
- 4 TB/s
- TDP
- 400 W
HGX SXM5 / 8-GPU platform · Large-model inference / AI training
Current
- VRAM
- 96 GB
- 메모리
- HBM3
- 대역폭
- 4 TB/s
- TDP
- 400 W
HGX SXM5 / 8-GPU platform · AI inference / training / China-market AI compute
Previous
- VRAM
- 141 GB
- 메모리
- HBM3E
- 대역폭
- 4.8 TB/s
AI training / inference / HPC
Previous
- VRAM
- 141 GB
- 메모리
- HBM3E
- 대역폭
- 4.8 TB/s
- TDP
- 600 W
PCIe dual-slot · AI inference / HPC / enterprise
Previous
- VRAM
- 141 GB
- 메모리
- HBM3E
- 대역폭
- 4.8 TB/s
- TDP
- 700 W
SXM · AI training / inference / HPC
Previous
- VRAM
- 80 GB
- 메모리
- HBM2E
- 대역폭
- 2 TB/s
- TDP
- 350 W
PCIe dual-slot FHFL · AI training / inference / HPC
Previous
- VRAM
- 80 GB
- 메모리
- HBM3
- 대역폭
- 3.35 TB/s
- TDP
- 700 W
SXM5 / HGX · AI training / inference / HPC
Previous
- VRAM
- 94 GB
- 메모리
- HBM3
- 대역폭
- 3.9 TB/s
- TDP
- 400 W
PCIe dual-slot FHFL · AI training / inference / enterprise AI
Current
- VRAM
- 48 GB
- 메모리
- GDDR6
- 대역폭
- 0.864 TB/s
- TDP
- 275 W
PCIe dual-slot FHFL · AI inference / graphics / China-market compute
Current
- VRAM
- 24 GB
- 메모리
- GDDR6
- 대역폭
- 0.3 TB/s
- TDP
- 72 W
PCIe low-profile single-slot · AI inference / video / graphics
Previous
- VRAM
- 48 GB
- 메모리
- GDDR6
- 대역폭
- 0.864 TB/s
- TDP
- 300 W
PCIe dual-slot FHFL · AI inference / graphics / virtual workstation
Current
- VRAM
- 48 GB
- 메모리
- GDDR6
- 대역폭
- 0.864 TB/s
- TDP
- 350 W
PCIe dual-slot · AI inference / graphics / rendering
- VRAM
- 8 GB
- 메모리
- GDDR5
- 대역폭
- 0.192 TB/s
- TDP
- 120 W
PCIe single-slot
- VRAM
- 8 GB
- 메모리
- GDDR5
- 대역폭
- 0.243 TB/s
- TDP
- 105 W
PCIe single-slot
- VRAM
- 16 GB
- 메모리
- GDDR5X
- 대역폭
- 0.288 TB/s
- TDP
- 180 W
PCIe dual-slot
- VRAM
- 24 GB
- 메모리
- GDDR5X
- 대역폭
- 0.432 TB/s
- TDP
- 250 W
PCIe dual-slot
- VRAM
- 8 GB
- 메모리
- GDDR6
- 대역폭
- 0.416 TB/s
- TDP
- 125 W
PCIe single-slot
- VRAM
- 16 GB
- 메모리
- GDDR6
- 대역폭
- 0.448 TB/s
- TDP
- 230 W
PCIe dual-slot
Legacy
- VRAM
- 24 GB
- 메모리
- GDDR6
- 대역폭
- 0.672 TB/s
- TDP
- 260 W
PCIe dual-slot · AI / rendering / professional visualization
Legacy
- VRAM
- 48 GB
- 메모리
- GDDR6
- 대역폭
- 0.672 TB/s
- TDP
- 260 W
PCIe dual-slot · AI / rendering / professional visualization
Previous
- VRAM
- 20 GB
- 메모리
- GDDR6
- 대역폭
- 0.36 TB/s
- TDP
- 130 W
PCIe single-slot · AI inference / rendering / workstation
Previous
- VRAM
- 24 GB
- 메모리
- GDDR6
- 대역폭
- 0.432 TB/s
- TDP
- 210 W
PCIe dual-slot · AI / rendering / workstation
Previous
- VRAM
- 32 GB
- 메모리
- GDDR6
- 대역폭
- 0.576 TB/s
- TDP
- 250 W
PCIe dual-slot · AI / rendering / workstation / inference
Previous
- VRAM
- 48 GB
- 메모리
- GDDR6
- 대역폭
- 0.96 TB/s
- TDP
- 300 W
PCIe dual-slot · AI / rendering / workstation
Previous
- VRAM
- 12 GB
- 메모리
- GDDR6
- 대역폭
- 0.288 TB/s
- TDP
- 70 W
PCIe low-profile dual-slot · AI inference / rendering / workstation
Previous
- VRAM
- 16 GB
- 메모리
- GDDR6
- 대역폭
- 0.448 TB/s
- TDP
- 140 W
PCIe single-slot · AI / rendering / workstation
Previous
- VRAM
- 20 GB
- 메모리
- GDDR6
- 대역폭
- 0.64 TB/s
- TDP
- 200 W
PCIe dual-slot · AI / rendering / workstation
Previous
- VRAM
- 24 GB
- 메모리
- GDDR6
- 대역폭
- 0.768 TB/s
- TDP
- 230 W
PCIe dual-slot · AI / rendering / workstation
Previous
- VRAM
- 24 GB
- 메모리
- GDDR6
- 대역폭
- 0.768 TB/s
- TDP
- 230 W
PCIe dual-slot · AI / rendering / workstation
Previous
- VRAM
- 48 GB
- 메모리
- GDDR6
- 대역폭
- 0.768 TB/s
- TDP
- 300 W
PCIe dual-slot · AI / rendering / workstation
Current
- VRAM
- 16 GB
- 메모리
- GDDR7
- 대역폭
- 0.288 TB/s
- TDP
- 70 W
PCIe low-profile dual-slot · Edge AI / professional graphics / inference
Current
- VRAM
- 24 GB
- 메모리
- GDDR7
- 대역폭
- 0.672 TB/s
- TDP
- 145 W
PCIe single-slot · AI / rendering / workstation / inference
Current
- VRAM
- 32 GB
- 메모리
- GDDR7
- 대역폭
- 0.8 TB/s
- TDP
- 165 W
PCIe Gen5 single-slot FHFL · AI inference / data science / enterprise compute / video
Current
- VRAM
- 32 GB
- 메모리
- GDDR7
- 대역폭
- 0.896 TB/s
- TDP
- 200 W
PCIe Gen5 dual-slot · AI / rendering / professional visualization / data science
Current
- VRAM
- 48 GB
- 메모리
- GDDR7
- 대역폭
- 1.344 TB/s
- TDP
- 300 W
PCIe Gen5 dual-slot · AI development / inference / data science / rendering
Current
- VRAM
- 72 GB
- 메모리
- GDDR7
- 대역폭
- 1.344 TB/s
- TDP
- 300 W
PCIe Gen5 dual-slot · AI development / LLM inference / data science / rendering
- VRAM
- 96 GB
- 메모리
- GDDR7
Current
- VRAM
- 96 GB
- 메모리
- GDDR7
- 대역폭
- 1.792 TB/s
- TDP
- 300 W
PCIe Gen5 dual-slot · AI development / inference / data science / rendering
Current
- VRAM
- 96 GB
- 메모리
- GDDR7
- 대역폭
- 1.597 TB/s
- TDP
- 600 W
PCIe dual-slot / single-slot liquid · AI inference / graphics / enterprise compute
Current
- VRAM
- 288 GB
- 메모리
- HBM4
- 대역폭
- 22 TB/s
Rack-scale / liquid-cooled module · AI training / inference / HPC
Legacy
- VRAM
- 16 GB
- 메모리
- GDDR6
- 대역폭
- 0.32 TB/s
- TDP
- 70 W
PCIe low-profile single-slot · AI inference / video
Legacy
- VRAM
- 16 GB
- 메모리
- GDDR5
- 대역폭
- 0.32 TB/s
- TDP
- 300 W
PCIe dual-slot · VDI / graphics virtualization / legacy compute
Legacy
- VRAM
- 16 GB
- 메모리
- HBM2
- 대역폭
- 0.732 TB/s
- TDP
- 250 W
PCIe dual-slot FHFL · HPC / legacy AI training
Legacy
- VRAM
- 16 GB
- 메모리
- HBM2
- 대역폭
- 0.732 TB/s
- TDP
- 300 W
SXM2 · HPC / legacy AI training
Legacy
- VRAM
- 8 GB
- 메모리
- GDDR5
- 대역폭
- 0.192 TB/s
- TDP
- 75 W
PCIe low-profile single-slot · AI inference / video transcoding
Legacy
- VRAM
- 24 GB
- 메모리
- GDDR5
- 대역폭
- 0.346 TB/s
- TDP
- 250 W
PCIe dual-slot FHFL · Legacy AI inference
Legacy
- VRAM
- 24 GB
- 메모리
- GDDR6
- 대역폭
- 0.672 TB/s
- TDP
- 280 W
PCIe dual-slot · AI research / data science / rendering
Legacy
- VRAM
- 16 GB
- 메모리
- HBM2
- 대역폭
- 0.9 TB/s
- TDP
- 250 W
PCIe dual-slot FHHL · HPC / AI training
Legacy
- VRAM
- 32 GB
- 메모리
- HBM2
- 대역폭
- 0.9 TB/s
- TDP
- 250 W
PCIe dual-slot FHHL · HPC / AI training
Legacy
- VRAM
- 32 GB
- 메모리
- HBM2
- 대역폭
- 0.9 TB/s
- TDP
- 300 W
SXM2 · AI training / HPC
Legacy
- VRAM
- 16 GB
- 메모리
- HBM2
- 대역폭
- 0.9 TB/s
- TDP
- 300 W
SXM2 · HPC / AI training
Legacy
- VRAM
- 32 GB
- 메모리
- HBM2
SXM3 · HPC / AI training
Legacy
- VRAM
- 32 GB
- 메모리
- HBM2
- 대역폭
- 1.134 TB/s
- TDP
- 250 W
PCIe dual-slot FHHL · HPC / AI training
Unknown
VR200
커버리지는 Kovara가 추적하는 현재 공개 중이며 보관되지 않은 상품을 반영하며, 시장 전체 공급이나 확인된 가용성을 나타내지 않습니다. 가격은 추적된 구성 전반의 기존 정규화 USD / GPU-hour 값을 사용하며, 계약 조건은 다를 수 있습니다. 사양 검증 날짜와 상품 확인 날짜는 서로 다른 기록에 대한 것입니다.