NVIDIATesla H800 80G Deep Learning GPU Computing Graphics Card HPE Version. All major credit cards are accepted.
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Nvidia Tesla P40 24GB GPU Card GDDR5 GPU Accelerator Card PCI-E 3.0 x16. Original Nvidia Tesla V100 16GB GPU PCIE Accelerator Graphics Card Machine. Low-Profile Nvidia Tesla P4 8GB GPU Graphics Card GDDR5 Supermicro PCI-E.
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NVIDIATesla H800 80G PCIE Deep Learning GPU 900-21010-000-000 Computing Graphics Card Official Release. All major credit cards are accepted.
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Server options NVIDIA HGX H100 Partner and NVIDIA-Certified Systems™ with 4 or 8 GPUs NVIDIA DGX H100 with 8 GPUs Partner and. NVIDIA-Certified Systems. NVIDIA AI Enterprise Add-on Included Included. dual-slot air-cooled 2x PCIe.
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1x Genuine New NVIDIA Tesla H100 80GB PCIe5.0 900-21010-000-000 GPU Graphics Card, 3 Years Warranty.
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CPU: AMD EPYC 9004 400W TDP. RAM:24 DIMM Slots, Up to 3TB.
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Fastest and safest way for making a. We are convinced you will.
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Server options NVIDIA HGX H100 Partner and NVIDIA-Certified Systems™ with 4 or 8 GPUs NVIDIA DGX H100 with 8 GPUs Partner and. NVIDIA-Certified Systems. NVIDIA AI Enterprise Add-on Included Included. dual-slot air-cooled 2x PCIe.
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Dell NVIDIA H100 NVL 94GB. Part Number MM3MP. Model Dell NVIDIA H100 NVL. Dell Servers. Dell Storage. All images of our products are for illustration purposes only. Reasons may include but are not exclusive to: Priority Services and Pallet Services.
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GPU -Architektur: NVIDIA Hopper (GH100) Cuda -Kerne: 14.592 FP32 -Kerne Tensorkerne: 456 (4. Generation) FP32 Leistung: Bis zu 51,22 Tflops FP64 Leistung: Bis zu 25,61 tflops FP16 Leistung: Bis zu 204,9 tflops FP8 Leistung: Bis zu 3.026 Tflops Int8 Leistung: Bis zu 3.026 Tops Schnittstelle und Kompatibilität PCIe -Schnittstelle: Gen 5.0 x16 Stromverbinder: 1 x 16-polige NVLINK -Unterstützung: Ja, 3 Brücken pro GPUspaar MIG (Multi-Instanz-GPU): Bis zu 7 Fälle, jeweils 10 GB Prozesstechnologie: 5 nm (TSMC) Transformatormotor: Dedizierte Hardware für große KI -Modellbeschleunigung Der NVIDIA H100 80 GB PCIe ist für Hochleistungs-Computing-Umgebungen ausgelegt, darunter: Groß angelegte KI-Ausbildung und Schlussfolgerung HPC-Workloads (High-Performance Computing) Datenanalyse und wissenschaftli.
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