Atur jumlah dan catatan
Stok Total: Sisa 5
Subtotal
Rp20.000.000
VGA NVIDIA TESLA P4 8GB GDDR5
Rp20.000.000
- Kondisi: Baru
- Min. Pemesanan: 1 Buah
- Etalase: Others
NVIDIA TESLA P4
TESLA GPU ACCELERATORS FOR SERVERS
Accelerate your most demanding HPC, hyperscale, and enterprise data center workloads with NVIDIA" Tesla" GPU accelerators. Scientists can now crunch through petabytes of data up to 10x faster than with CPUs in applications ranging from energy exploration to deep learning. Plus, Tesla accelerators deliver the horsepower needed to run bigger simulations faster than ever before. For enterprises deploying VDI, Tesla accelerators are perfect for accelerating virtual desktops to any user, anywhere.
DEEP LEARNING INFERENCING WITH TESLA P4
Responsiveness is key to user adoption for services such as interactive speech, visual search, and video recommendations. As deep learning models increase in accuracy and complexity, CPUs are no longer capable of delivering an interactive user experience. The P4 deliver over 30x faster inference performance compared to CPU for real-time responsiveness.
Tesla P4 is a 50/75-Watt GPU designed to accelerate any scale-out server and provides an incredible 60X better energy efficiency than CPUs.
Graphics Chipset Tesla P4
Edition Passive
Manufacturing process
Microarchitecture Pascal
GPU Name
NVIDIA CUDA Cores 2560
NVIDIA Tensor Cores
Memory Size 8 GB
Memory Type GDDR5
ECC Technology No
Memory Clock
Memory Bit Rate 256 Bit
Memory Bandwidth 192 GB/s
Single Precision Performance 5.5 teraFLOPS
Double Precision Performance N/A
Deep Learning (Tensor) Performance
Integer Operations (INT8)
Cooling Passive
Interface PCIe 3.0 (x16)
Interface Bandwidth
Graphics Output
Maximum Digital Resolution
Maximum VGA Resolution
Multi GPU Support
Multi Monitor Support
HDCP Ready Yes
Supported Compute APIs
Supported Graphics APIs
Microsoft DirectX Support
Form Factor Single Slot
Low Profile Compatible Yes
dimensi :: 17x1,7x7cm (full height 12cm)
*Tanpa Dus
- Konfirmasi mengenai stock lebih dahulu
- Pengiriman setiap hari Senin-Jumat (Sabtu, Minggu & Hari Libur Off) pukul 09.00 - 17.00
-Terimakasih-
TESLA GPU ACCELERATORS FOR SERVERS
Accelerate your most demanding HPC, hyperscale, and enterprise data center workloads with NVIDIA" Tesla" GPU accelerators. Scientists can now crunch through petabytes of data up to 10x faster than with CPUs in applications ranging from energy exploration to deep learning. Plus, Tesla accelerators deliver the horsepower needed to run bigger simulations faster than ever before. For enterprises deploying VDI, Tesla accelerators are perfect for accelerating virtual desktops to any user, anywhere.
DEEP LEARNING INFERENCING WITH TESLA P4
Responsiveness is key to user adoption for services such as interactive speech, visual search, and video recommendations. As deep learning models increase in accuracy and complexity, CPUs are no longer capable of delivering an interactive user experience. The P4 deliver over 30x faster inference performance compared to CPU for real-time responsiveness.
Tesla P4 is a 50/75-Watt GPU designed to accelerate any scale-out server and provides an incredible 60X better energy efficiency than CPUs.
Graphics Chipset Tesla P4
Edition Passive
Manufacturing process
Microarchitecture Pascal
GPU Name
NVIDIA CUDA Cores 2560
NVIDIA Tensor Cores
Memory Size 8 GB
Memory Type GDDR5
ECC Technology No
Memory Clock
Memory Bit Rate 256 Bit
Memory Bandwidth 192 GB/s
Single Precision Performance 5.5 teraFLOPS
Double Precision Performance N/A
Deep Learning (Tensor) Performance
Integer Operations (INT8)
Cooling Passive
Interface PCIe 3.0 (x16)
Interface Bandwidth
Graphics Output
Maximum Digital Resolution
Maximum VGA Resolution
Multi GPU Support
Multi Monitor Support
HDCP Ready Yes
Supported Compute APIs
Supported Graphics APIs
Microsoft DirectX Support
Form Factor Single Slot
Low Profile Compatible Yes
dimensi :: 17x1,7x7cm (full height 12cm)
*Tanpa Dus
- Konfirmasi mengenai stock lebih dahulu
- Pengiriman setiap hari Senin-Jumat (Sabtu, Minggu & Hari Libur Off) pukul 09.00 - 17.00
-Terimakasih-
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