Every Bytestock refurbished product completes a rigorous refurbishment process that includes full testing.
Our refurbished hardware offers extensive savings, typically anywhere from 30%-70% off the MSRP.
Every product from Bytestock is rigorously tested and verified before being made available to customers.
But,
for when faults do occur, we offer an industry-leading 1-year warranty on all non-consumable systems and
components.
We offer free shipping across the UK, with most orders delivered next-day, and
achieve worldwide two-working day delivery across 90% of international orders.
And for the most time-sensitive challenges, we offer same-day delivery options in the UK, dependent on order
time and availability.
We all change our minds from time to time. If you’re a non-business customer and you’re no longer sure about
your order you can return it to us within 14 days of delivery, no quibbles!
If you require any additional options for the Dell NVIDIA A100 Ampere 80GB HBM2e Passive GPU Graphics Card - 575TK TCSA100M-80GB-PB
The Dell NVIDIA A100 Ampere 80GB HBM2 Passive GPU Graphics Card, denoted by the part number 575TK, presents a robust graphics solution suitable for diverse computational tasks. The GPU, which is driven by NVIDIA's Ampere architecture, is equipped with a substantial 80GB of HBM2 memory. This generous memory capacity contributes to the efficient handling of data-intensive operations by offering exceptional memory bandwidth. The implementation of a passive cooling design facilitates effective heat dissipation while concurrently preserving a noiseless operational state, rendering it well-suited for environments necessitating minimal auditory disturbances. The primary purpose of this graphics card is to enhance the performance of compute workloads, encompassing various applications such as artificial intelligence, data analytics, scientific simulations, and other related tasks. The 575TK GPU possesses a sophisticated architectural design and a substantial memory capacity, thereby leading to a notable improvement in computational performance. Consequently, it serves as a valuable asset when incorporated into high-performance computing settings.