0

NVIDIA TESLA V100 GPU-Rechenbeschleuniger Computing Card - 16GB HBM2, PCIe Gen3 x16 - 699-2G500-0200-300

middle size zoom image
  • preview image zoom0
  • preview image zoom1
Item 1 of 6

Item number
130422
Condition
Used
Weight
1 Kg
Delivery time
on stock and immediately available
Availability
23 in stock
€ 294.11 *
* Excl. VAT excl. Shipping
Your choice
  • NVIDIA TESLA V100 GPU-Rechenbeschleuniger Computing Card - 16GB HBM2, PCIe Gen3 x16 - 699-2G500-0200-300
  • Price with upgrades:

    • € 294.11

Description

Description: NVIDIA TESLA V100 GPU-Rechenbeschleuniger Computing Card - 16GB HBM2, PCIe Gen3 x16 - 699-2G500-0200-300
   
Brand name: NVIDIA
Model: NVIDIA TESLA V100
Memory size: 16GB HBM2
Memory bandwidth: 900 GB/s
Shading units: 5120
Tensor cores: 640
Raytracing cores: 40
ROPs: 64
Host interface: PCIe Gen3 x16
Power connector: 1x 8-Pin EPS-12V
TDP: 250 Watt
Slot height: Dual Slot
Dimensions: 267 x 111 mm (LxH)
Cooling: passiv
Ports: -
   
Related part number(s):  
Part No.: 699-2G500-0200-300
   
Condition: used, very good
Included in delivery: 1x card
Questions about this item?
We're happy to help! Contact us and we will get back to you as soon as possible! Create new ticket
Questions about this item?
document.addEventListener('DOMContentLoaded', function() { let subform = document.getElementById('custom-sib-form'); subform.addEventListener('submit', function (event) { event.preventDefault(); var form = event.target; var formData = new FormData(form); fetch(form.action, { method: form.method, body: new URLSearchParams(formData).toString(), headers: { 'Content-Type': 'application/x-www-form-urlencoded' } }) .then(data => { document.getElementById('form-response').style.display = 'block'; form.querySelector('button[type="submit"]').disabled = true; form.querySelector('button[type="submit"]').style.opacity = 0.8; document.getElementById('form-response').style.color = '#17ca17'; document.getElementById('form-response').innerText = "You have successfully subscribed to the newsletter"; }) .catch(error => { console.log(error) }); }); })