Best Hewlett Packard Enterprise Graphics Cards 2026: 4 Picks
The Hewlett Packard Enterprise graphics card selection on the market right now is compact: four accelerator boards, all built on NVIDIA chips. The Tesla T4 stands out as the top pick for most buyers: it is the only card in this list with a stated 16GB of memory, and its 'New Retail' status suggests a current production unit. This guide compares all four based on their stated specifications and intended use cases.
4 picks from 4 graphics cards that match this guide with a price we can quote today, made by 34 makers. Each price below is read live and stamped with the time it was read.
The short list
| # | Pick | Graphics card | Price |
|---|---|---|---|
| 1 | Best overall | Hewlett Packard Enterprise NVIDIA Tesla T4 16GB Module New Retail | $6,988.00 (as of 10/20/2026 05:07 PDT - Details) |
| 2 | Best for virtualization | Hewlett Packard Enterprise NVIDIA Grid K2 RAF Graphics Accelerator Board | $13,724.00 (as of 10/20/2026 05:07 PDT - Details) |
| 3 | Best for compute | Hewlett Packard Enterprise NVIDIA Tesla K40C Graphics Accelerator Board | $10,008.00 (as of 10/20/2026 05:07 PDT - Details) |
| 4 | Best legacy option | Hewlett Packard Enterprise NVIDIA Quadro 6000 PCIe 6GB NVIDIA Quadro | $8,776.00 (as of 10/20/2026 05:07 PDT - Details) |
Who each pick suits
- For virtualization and VDI: If you run virtual desktops or need to deliver GPU acceleration over a network, the Grid K2 is the only card here explicitly named for virtualized environments. See pick 2
- For compute and HPC: The Tesla K40C is positioned in the Tesla family, which is traditionally associated with compute workloads. Choose it if your focus is floating-point performance rather than memory capacity. See pick 3
- For legacy workstation graphics: If you maintain an older workstation that expects Quadro drivers and only needs 6GB of video memory, the Quadro 6000 is the pick from this list. See pick 4
- For modern workloads with 16GB memory: The Tesla T4 is the most capable card in this set, with a stated 16GB of memory and a new retail listing, making it suitable for contemporary AI and inference tasks. See pick 1
The 4 picks, one by one
1 Best overall
Hewlett Packard Enterprise NVIDIA Tesla T4 16GB Module New Retail
- Chip
- NVIDIA
- GPU
- Tesla T4
- Memory
- 16 GB
$6,988.00 (as of 10/20/2026 05:07 PDT - Details)
The Tesla T4 is the only card in this list with a stated 16GB of memory, which makes it the most capable for memory-intensive workloads. Its 'New Retail' status suggests a current production unit, while the other three are listed as accelerator boards.
Pros
- 16GB of memory stated
- New retail condition
- NVIDIA based
Cons
- Memory bandwidth not stated
- No stated CUDA core count
- No stated power consumption
Good fit if
- Enterprises needing a modern accelerator for AI inference
- Sites that want a current-production card
Skip if
- You need more than 16GB of memory
- You require a specific form factor not listed
Verdict: The Tesla T4 is the most future-proof choice among these four Hewlett Packard Enterprise cards based on its stated memory and retail status.
2 Best for virtualization
Hewlett Packard Enterprise NVIDIA Grid K2 RAF Graphics Accelerator Board
- Chip
- NVIDIA
- GPU
- Grid K2
$13,724.00 (as of 10/20/2026 05:07 PDT - Details)
Its name includes GRID, indicating a focus on virtualized GPU environments, which is a distinct specialization not shared by the other cards in this list.
Pros
- GRID designation suggests virtual GPU support
- NVIDIA based
- Accelerator board form factor
Cons
- Memory size not stated by the seller
- Older product line (based on naming)
- No stated driver support details
Good fit if
- VDI deployments that use NVIDIA GRID software
- Remote desktop and cloud gaming setups
Skip if
- You need a card for standalone compute
- You require large memory capacity
Verdict: The Grid K2 is the pick for organizations that want a card specifically named for virtualization workloads.
3 Best for compute
Hewlett Packard Enterprise NVIDIA Tesla K40C Graphics Accelerator Board
- Chip
- NVIDIA
- GPU
- Tesla K40
$10,008.00 (as of 10/20/2026 05:07 PDT - Details)
The Tesla line is traditionally aimed at compute tasks, and this listing follows that naming. It is one of two Tesla cards here, but the K40C has no stated memory, so it is best suited for compute jobs that do not require large onboard memory.
Pros
- Tesla brand indicates compute focus
- NVIDIA based
- Accelerator board
Cons
- Memory size not stated
- No stated clock speeds
- Likely older generation (from naming)
Good fit if
- HPC clusters and scientific computing
- Users who need a compute card without display output
Skip if
- You need a card with substantial memory
- You require modern AI features like Tensor Cores
Verdict: The Tesla K40C is a compute-oriented accelerator, chosen for its Tesla designation, though its memory capacity is not disclosed.
4 Best legacy option
Hewlett Packard Enterprise NVIDIA Quadro 6000 PCIe 6GB NVIDIA Quadro
- Chip
- NVIDIA
- GPU
- Quadro 6000
- Memory
- 6 GB
$8,776.00 (as of 10/20/2026 05:07 PDT - Details)
This is the only card in the list with a stated 6GB of memory and a Quadro name, which historically targets workstation graphics. It may suit legacy applications that expect Quadro drivers.
Pros
- 6GB of memory stated
- NVIDIA based
- PCIe interface (from name)
Cons
- Only 6GB, the least in this list
- Older Quadro generation
- No stated memory bandwidth
Good fit if
- Workstations running legacy CAD or DCC applications
- Environments that require Quadro-specific driver support
Skip if
- You need more than 6GB of memory
- You are building a new system with current operating systems
Verdict: The Quadro 6000 is the legacy pick, offering a stated 6GB of memory for older workstation workloads.
Comparison table
| # | Graphics card | Chip | GPU | Memory |
|---|---|---|---|---|
| 1 | Hewlett Packard Enterprise NVIDIA Tesla T4 16GB Module New Retail | NVIDIA | Tesla T4 | 16 GB |
| 2 | Hewlett Packard Enterprise NVIDIA Grid K2 RAF Graphics Accelerator Board | NVIDIA | Grid K2 | not stated |
| 3 | Hewlett Packard Enterprise NVIDIA Tesla K40C Graphics Accelerator Board | NVIDIA | Tesla K40 | not stated |
| 4 | Hewlett Packard Enterprise NVIDIA Quadro 6000 PCIe 6GB NVIDIA Quadro | NVIDIA | Quadro 6000 | 6 GB |
How this list was made
We examined the full catalogue of graphics cards listed under Hewlett Packard Enterprise and found four distinct listings. From this pool, we selected all four because the number is small, and we compared them on the basis of stated specifications, such as memory size and product type. We did not test any unit; we relied on the information provided in the product listings and on manufacturer and standards documentation. Prices are live and read directly from the store listing at the time of writing.
Choosing the right one
Decode the product name
The listing names hint at different intended use cases: GRID for virtualization, Tesla for compute, and Quadro for professional graphics. However, only the chip manufacturer and, in some cases, memory size are stated. For example, the Tesla T4 and Quadro 6000 list memory, while the Grid K2 and Tesla K40C do not. Use the product family as a starting point but verify exact capabilities with the manufacturer's specification sheet.
Memory capacity and its role
Only two cards in this set state their memory: the Quadro 6000 with 6GB and the Tesla T4 with 16GB. More memory generally helps with larger datasets, higher resolutions, and more demanding applications. If your workload requires a specific memory footprint, focus on the cards that disclose that figure. For the other two, you must contact the seller or check the manufacturer's documentation to confirm.
Compatibility with modern operating systems
Windows 11 requires a graphics card compatible with DirectX 12 or later and a WDDM 2.0 driver. The listings do not state whether these cards meet that requirement. Before adopting any of them, check the manufacturer's current driver support and the card's feature set to ensure it can run your chosen operating system.
New retail versus accelerator board
The Tesla T4 is listed as 'New Retail', while the other three are described as 'Accelerator Board'. A new retail unit may include a warranty and current drivers, whereas accelerator boards might be older stock or used. Consider the age of the product and the level of support you expect when choosing between them.
Power and cooling considerations
None of the listings state power consumption or cooling requirements. These are enterprise accelerator boards that may draw more power than consumer cards and have specific thermal needs. Check your server or workstation's power budget, available PCIe slots, and physical space before making a purchase.
Questions
Are these Hewlett Packard Enterprise graphics cards suitable for gaming?
These are enterprise accelerators, and none is marketed as a consumer gaming card. The Tesla T4 may support some gaming, but driver support is not targeted at gaming. For gaming, consider NVIDIA's GeForce line, which is designed for that purpose according to NVIDIA's product pages.
Do these cards work with Windows 11?
Windows 11 requires a DirectX 12 compatible GPU with a WDDM 2.0 driver. The seller listings do not state whether these cards support that. Check the manufacturer's documentation for each model to confirm driver availability and feature support before upgrading.
What is the difference between Tesla and Quadro?
Based on the naming, Tesla is typically associated with compute and server workloads, while Quadro is aimed at professional graphics workstations. However, the listings here only provide the product names, so exact capabilities should be verified against the manufacturer's specifications.
How much memory do these cards have?
Only two cards state their memory: the Quadro 6000 lists 6GB and the Tesla T4 lists 16GB. The Grid K2 and Tesla K40C do not specify memory size in the listing. For those, you would need to consult the manufacturer or seller for details.
Can I use these cards in a standard desktop PC?
All are accelerator boards likely intended for servers or workstations. Check the physical dimensions, PCIe slot type, and power connectors, as they may differ from consumer graphics cards. The listings do not provide these details.
What changed
- : First published.