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819,45 Netto
MTSGQ6W

MTSG Quadro RTX 6000 Workstation - NVIDIA certified

MTSQ6S

Fields of Application:

The sysGen Data Science Workstation is the ideal workplace for AI developments. The pre-installed, leading data science software maximizes productivity, shortens time to insight and lowers the cost of data science projects.

Configurable Workstation

Hardware:

  1. Dual socket P (LGA 3647) supports 2nd Gen. Intel® Xeon® Scalable Processors, Dual UPI up to 10.4GT/s
  2. Up to 4TB 3DS ECC RDIMM/LRDIMM, up to DDR4-2933MHz; 16 DIMM slots
  3. 4 PCI-E 3.0 x16, 2 PCI-E 3.0 x8 slots
  4. First NVIDIA™ Quadro RTX 6000 included, second GPU card optional
  5. NVIDIA NVLink HB Bridge is recommended for dual GPU setups
  6. Attention: This system is very loud and not suitable for deskside usage. Please be aware that it should be placed in a seperate room
  7. M.2 Interface:PCI-E 3.0 x4
  8. M.2 Form Factor: 2260, 2280, 22110
  9. M.2 Key:M-Key, 2 PCI-E 3.0 NVMe
  10. 2x 1GbE LAN ports
  11. 7.1 HD Audio
  12. 4 Internal fixed 3.5" drive bays, 2 5.25" peripheral drive bays
  13. 1200W High-efficiency Power Supply Platinum Level Certified

NVIDIA DS Workstation Software Load:

  • NVIDIA® CUDA-X AI™ accelerated data science software, such as RAPIDS™, TensorFlow, PyTorch and Caffe. CUDA-X AI is a collection of libraries that enable modern computing applications to benefit from NVIDIA’s GPU-accelerated computing platform. These data science workstations make it easy for scientists to wrangle, prep, train and deploy models quickly and accurately
  • Get started right away without wasting time. We've installed (almost) everything you need
  • optional Partner ECO systems of your choice, like OmniSci, BlazingDB, ...

Product configuration

Zusammenfassung

Ihre Anfrage

Sie erhalten ein Angebot basierend auf Ihrer Anfrage

Persönliche Beratung

+49 (0) 421 40966 0

Ihre Konfiguration:

MTSG Quadro RTX 6000 Workstation - NVIDIA certified

Maximale Leistungsaufnahme

105 W
Energiekosten berechnen

Spezielle Wünsche & Kommentare

Energiekosten berechnen

Watt
Jahre
Cent/kWh
%
CPU - RTX Scalable Workstation

2 von max. 2 Sockets ausgewählt

Intel® Xeon® Gold 5217 Processor

8 Cores; 16 Threads; 3.00 GHz; Cache: 11 MB L3; 2 UPI Links; TDP: 115 W

 1.415,51
MEM - DDR4 ECC LR 2666 Arbeitsspeicher

16 von max. 16 DIMM Slots ausgewählt

32GB DDR4-2666 4RX4 1.2V LRDIMM ECC, Markenspeicher

 204,00
64GB DDR4-2666 4RX4 1.2V LRDIMM ECC, Markenspeicher

 353,61
128GB DDR4-2666 4RX4 1.2V LRDIMM ECC, Markenspeicher

 1.586,87
GPU - devCUBE Pro
NVIDIA Quadro RTX 6000 24GB GDDR6 - 16.3TFLOPs (FP32) - 4608CUDA cores - Ultra-High-End

Slots: 2; GPU Memory: 24GB; Memory Bandwidth: 672GB/s

 3.451,85
NVIDIA Quadro RTX 8000 48GB GDDR6 - 16.3TFLOPs (FP32) - 4608CUDA cores - Ultra-High-End

Slots: 2; GPU Memory: 48GB; Memory Bandwidth: 672GB/s

 5.050,70
NVIDIA 2-Way 2-Slot Quadro RTX 6000/8000 HB NVLink Bridge

Recommended for dual GPU setups

 119,85
NVIDIA Quadro GV100 32GB HBM2, 5120 CUDA cores - Ultra-High-End

Slots: 2; GPU Memory: 32GB; Memory Bandwidth: 870GB/s

 8.211,00
STOR - Converter & Drive Trays

4 von max. 8 3.5" Drive Bays ausgewählt

Converter 3.5 to 2.5" HDD/SSD Hotswap Tray (7049)

 12,62
Filter: STOR - Mass Storage (SSD / HDD) Type

Please select the connection type you need for your drives.
Please take note that you need to select 3.5" to 2.5" Converters to enable 2.5" Drives in some Servers.

SATA Interface

 
M.2 NVMe SSD

 
STOR - SSD NVMe M.2
Hier finden Sie unsere übersichtliche HDD und SSD Auswahl. Die gesamte Auswahl finden unter der Kategorie:
Produkte > Computer Komponenten > HDD / SSD Storage.
Micron 2200 256GB NVME PCI-E 3.0, M.2 22X80ds, MLC, <1DWPD

Interface: PCIe NVMe; MTBF/MTTF: 2M hrs; Power Idle: 0.3W; TBW: 75TB

 46,75
Micron 2200 512GB NVME PCI-E 3.0, M.2 22X80ds, MLC, <1DWPD

Interface: PCIe NVMe; MTBF/MTTF: 2M hrs; Power Idle: 0.3W; TBW: 150TB

 84,15
Micron 2200 1024GB NVME PCI-E 3.0, M.2 22X80ds, MLC, <1DWPD

Interface: PCIe NVMe; MTBF/MTTF: 2M hrs; Power Idle: 0.3W; TBW: 300TB

 147,90
Samsung PM963,960GBNVMePCIe3.0x4,V3 TLC VNAND,M.2,22x110mm (1.3 DWPD)

Interface: PCIe NVMe; MTBF/MTTF: 2M hrs; Power Idle: 2.5W; TBW: 13660TB

 157,25
Samsung PM963,1.9TBNVMePCIe3.0x4,V3 TLC VNAND,M.2,22x110mm (1.3 DWPD)

Interface: PCIe NVMe; MTBF/MTTF: 2M hrs; Power Idle: 1.9W

 319,60
STOR - SSD SATA 2.5" Enterprise Auswahl
Hier finden Sie unsere übersichtliche HDD und SSD Auswahl. Die gesamte Auswahl finden unter der Kategorie:
Produkte > Computer Komponenten > HDD / SSD Storage.
Intel D3-S4510 240GB,SATA 6Gb/s, 3D, TLC 2.5" 7.0mm, 2DWPD

Interface: SATA 3.0; MTBF/MTTF: 2M hrs; Power Idle: 1W; TBW: 900TB; 1W

 79,05
Samsung PM883 1.92TB SATA 6Gb/s V4 TLC 2.5" 7mm (1.3 DWPD)

Interface: SATA 3.0; MTBF/MTTF: 2M hrs; Power Idle: 1.3W; TBW: 2700TB

 295,80
Samsung PM883 240GB SATA 6Gb/s V4 TLC 2.5" 7mm (1.3 DWPD)

Interface: SATA 3.0; MTBF/MTTF: 2M hrs; Power Idle: 1.3W; TBW: 341TB

 77,35
Samsung PM883 3.84TB SATA 6Gb/s V4 TLC 2.5" 7mm (1.3 DWPD)

Interface: SATA 3.0; MTBF/MTTF: 2M hrs; Power Idle: 1.3W; TBW: 5500TB

 625,60
Samsung PM883 960GB SATA 6Gb/s V4 TLC 2.5" 7mm (1.3 DWPD)

Interface: SATA 3.0; MTBF/MTTF: 2M hrs; Power Idle: 1.3W; TBW: 1400TB

 155,55
Intel D3-S4510 960GB, SATA 6Gb/s, 3D,TLC 2.5" 7.0mm, 2DWPD

Interface: SATA 3.0; MTBF/MTTF: 2M hrs; Power Idle: 1W; TBW: 3400TB; 1.0W

 182,75
Intel D3-S4610 240GB, SATA 6Gb/s, 3D, TLC 2.5", 3DWPD

Interface: SATA 3.0; MTBF/MTTF: 2M hrs; Power Idle: 1W; TBW: 1400TB; 2.4W

 92,65
Intel D3-S4610 480GB, SATA 6Gb/s, 3D, TLC 2.5", 3DWPD

Interface: SATA 3.0; MTBF/MTTF: 2M hrs; Power Idle: 1W; TBW: 3000TB

 130,05
Samsung PM883 480GB SATA 6Gb/s V4 TLC 2.5" 7mm (1.3 DWPD)

Interface: SATA 3.0; MTBF/MTTF: 2M hrs; Power Idle: 1.3W; TBW: 683TB

 98,60
SW - Software Stack RTX WS
NVIDIA Data Sciene & AI Software Stack

NVIDIA DS Workstation Software Load:

  • Get started right away without wasting time. We've installed (almost) everything you need
  • NVIDIA® CUDA-X AI™ accelerated data science software, such as RAPIDS™, TensorFlow, PyTorch and Caffe. CUDA-X AI is a collection of libraries that enable modern computing applications to benefit from NVIDIA’s GPU-accelerated computing platform. These data science workstations make it easy for scientists to wrangle, prep, train and deploy models quickly and accurately
  • optional Partner ECO systems of your choice, like OmniSci, BlazingDB, ...