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 40GB HBM2 Passive GPU Graphics Card - RH1X7 TCSA100M-PB
The Dell NVIDIA A100 Ampere 40GB HBM2 Passive GPU Graphics Card, specifically denoted by the part number RH1X7 TCSA100M-PB, presents a graphics solution of notable performance for a wide range of computing applications. This graphics processing unit (GPU) is equipped with 40GB of HBM2 memory, which offers a significant amount of memory bandwidth to support computationally demanding tasks. It utilises NVIDIA's Ampere architecture to enhance its performance capabilities. The utilisation of a passive cooling design facilitates the effective dispersion of heat, concurrently upholding a subdued operational state, rendering it well-suited for settings that prioritise minimal auditory disturbances. The design of this graphics card is specifically optimised to enhance the performance of various computational tasks, such as artificial intelligence, data analytics, scientific simulations, and other similar workloads. The RH1X7 TCSA100M-PB GPU possesses a sophisticated architecture and substantial memory capacity, thereby offering the potential to greatly enhance computing performance. Consequently, it represents a valuable asset for high-performance computing configurations.