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 5-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 NVIDIA Tesla P100 16GB HBM2 Passive Graphics Processing Unit - 699-2H400-0201-402
The NVIDIA Tesla P100 16GB HBM2 Passive Graphics Processing Unit, designated by the part number 699-2H400-0201-402, presents a high-performance solution for a range of computationally demanding tasks. The Tesla P100 GPU has been specifically engineered to enhance the performance of deep learning, artificial intelligence, and various other computational workloads. The graphics processing unit (GPU) possesses a significant amount of 16GB high-bandwidth memory (HBM2), which enables the execution of data-intensive tasks with substantial memory bandwidth. The passive cooling solution is characterised by its lack of an active fan, rendering it well-suited for environments that prioritise quiet operation and low power consumption. The Tesla P100 is highly advantageous in situations that necessitate optimal performance while prioritising power efficiency, rendering it a valuable asset for AI research, scientific simulations, and data analytics. The 699-2H400-0201-402 GPU possesses substantial computational capabilities and memory capacity, rendering it a highly advantageous asset in high-performance computing settings.