900-2G503-0010-000: NVIDIA Tesla V100 SXM2 32GB HBM2 Data Center GPU
MPN: 900-2G503-0010-000|By: NVIDIA
Starting from
$1,145
Indicative. Final pricing is confirmed with your quote.
In Stockships worldwide
- Condition:
- New (authorized channel)
- Warranty:
- Full manufacturer warranty
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Bulk order? Request volume pricing
Authorized & warrantied
Sourced through authorized distribution, with the full manufacturer warranty.
Compatibility checked
Validated against your server platform before dispatch.
Delivery & lead time
Confirmed with your quote, including expedited freight where available.
Business & public sector
POs, net terms and volume pricing for qualified organizations, government and edu.
Product overview
Part number 900-2G503-0010-000 identifies this NVIDIA Tesla V100 SXM2 32GB HBM2 data center GPU. Power delivery is usually the constraint: the connectors on the card, the supply that feeds them and the circuit that feeds the rack. Send the chassis and PSU configuration and we will check the whole chain.
Quote requests are answered within 48 business hours, with availability confirmed before you raise a purchase order rather than after.
Specifications
General
- Manufacturer part number
- 900-2G503-0010-000
- Product Type
- GPUs & Accelerators
- Manufacturer
- NVIDIA
Technical specifications
- Memory
- 32GB
The table below is what the GPU accelerator is documented as, not what we have inferred from the part number. If the figure you need is missing, ask and we will source it from the manufacturer.
Where the NVIDIA 900-2G503-0010-000 is deployed
- Sourcing 900-2G503-0010-000 against a build sheet that names it explicitly
- Building a training or inference node to a fixed budget
- Replacing a failed accelerator in a production node
Who this part is for
- Engineers checking slot width, power and airflow before committing
- ML teams adding accelerators to servers that are already racked
- Integrators building to a specified accelerator and chassis pairing
What you get ordering this from us
Ordered by part number
900-2G503-0010-000 is what is quoted and 900-2G503-0010-000 is what ships; where an alternate code is genuinely the same part we name it rather than swap it silently.
Compatibility checked
We confirm the part is supported on your platform before it ships, rather than leaving the check to you.
Answered by a human
A quote comes back with the reasoning attached, including the cases where we think you should buy something else.
Questions buyers ask about this part
Is 900-2G503-0010-000 genuine and is the warranty intact?
Yes. Supplied new and unopened, so the manufacturer warranty and firmware update path stay supported. No grey-market stock and no refurbished units sold as new.
Will 900-2G503-0010-000 work in my server?
Send the chassis model. Slot width, auxiliary power connectors and airflow decide this before the silicon does, and a passively cooled card in the wrong chassis will throttle or shut down.
Do you accept purchase orders and quote at volume?
Yes, POs from qualified organisations, net terms on approval, and banded pricing once the quantity is worth banding. Send the number and we will price it properly.
Compare other GPUs & Accelerators we stock
| Model | Brand | Key spec | Availability | From |
|---|---|---|---|---|
| AMD Instinct MI210 64GB HBM2e Data Center GPU Accelerator | AMD | Memory: 64GB HBM2e | In Stock | $10,920 |
| Intel Data Center GPU Flex 140 12GB GDDR6 PCIe Accelerator | Intel | Memory: 12GB GDDR6 | In Stock | $935 |
| Dell NVIDIA L4 24GB GPU Kit with Riser and Bracket for PowerEdge Servers | Dell Technologies | Memory: 24GB GDDR6 | In Stock | $4,420 |
| HPE NVIDIA L4 24GB Accelerator Kit with Riser Cage for ProLiant Servers | HPE | Memory: 24GB GDDR6 | In Stock | $4,485 |
| Xilinx Alveo U50 Data Center Accelerator Card | Xilinx | N/A | In Stock | $7,930 |
| ASRock Intel Arc Pro B70 Creator 32GB graphics card | ASRock | Memory: 32GB | In Stock | Request quote |
Browse all GPUs & Accelerators or everything we stock from NVIDIA.
Specifying a system, not just the part?
Accelerators are usually bought as part of a node rather than on their own, because the chassis, power and cooling have to match the card.