PNY NVIDIA RTX A6000
walmart.com
Newegg Business
Newegg
Amazon.com
Last Amazon price update was: October 18, 2024 02:54
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PNY NVIDIA RTX A6000 Price comparison
PNY NVIDIA RTX A6000 Price History
Price History for PNY VCNRTXA6000-BLK RTX A6000 48GB 384-bit GDDR6 PCI Express 4.0 x16 Workstation Video Card
Statistics
| Current Price | $4,399.99 | October 20, 2024 |
| Highest Price | $4,399.99 | October 20, 2024 |
| Lowest Price | $4,399.99 | October 20, 2024 |
Since October 20, 2024
Last price changes
| $4,399.99 | October 20, 2024 |
PNY NVIDIA RTX A6000 Description
- NVIDIA Ampere Architecture-based CUDA Cores – Double-speed processing for single-precision floating point (FP32) operations and improved power efficiency provide significant performance improvements for graphics and simulation workflows, such as complex 3D computer-aided design (CAD) and computer-aided engineering (CAE), on the desktop.
- Second-Generation RT Cores – With up to 2X the throughput over the previous generation and the ability to concurrently run ray tracing with either shading or denoising capabilities, second-generation RT Cores deliver massive speedups for workloads like photorealistic rendering of movie content, architectural design evaluations, and virtual prototyping of product designs. This technology also speeds up the rendering of ray-traced motion blur for faster results with greater visual accuracy.
- Third-Generation Tensor Cores – New Tensor Float 32 (TF32) precision provides up to 5X the training throughput over the previous generation to accelerate AI and data science model training without requiring any code changes. Hardware support for structural sparsity doubles the throughput for inferencing. Tensor Cores also bring AI to graphics with capabilities like DLSS, AI denoising, and enhanced editing for select applications.
- Third-Generation NVIDIA NVLink – Increased GPU-to-GPU interconnect bandwidth provides a single scalable memory to accelerate graphics and compute workloads and tackle larger datasets.
- 48 Gigabytes (GB) of GPU Memory – Ultra-fast GDDR6 memory, scalable up to 96 GB with NVLink, gives data scientists, engineers, and creative professionals the large memory necessary to work with massive datasets and workloads like data science and simulation.
PNY NVIDIA RTX A6000 Specification
Specification: PNY NVIDIA RTX A6000
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PNY NVIDIA RTX A6000 Reviews (8)
8 reviews for PNY NVIDIA RTX A6000
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Chaqui Bisquet –
This card if for 3D design, doing 3d renders, animation, any GPU intensive task. I had just built a new system and the graphics card shortage hit. This card was out of my price range, but out of frustration, as nothing was available at or near MSRP, I bought it anyway. While it was way too expensive for my budget, it was being sold at close to MSRP. I so wanted to feel the guilt of buyers remorse, but I couldn’t. The card is amazing, it cut my render times to a fraction of my previous times, the 48 GB of VRAM can handle any complex scene I throw at it, it doesn’t make my computer so hot I can fry and egg on it, and best of all it doesn’t scream like a lost soul condemned to the Inferno when it’s working (the screaming, I couldn’t stand the screaming.)
William A. Pedersen –
Bought this to finally be able to play Crisis … very lack luster experience.
garrettg84 –
I’ve been using two of these cards for AI/ML research. The are surprisingly quiet compared to what I expected. They are significantly quieter than their gaming counterparts. Temps seem to creep up to 85degrees and stabilize right there while running longer tasks. They stay right at their 300w power envelope as well. For the work I’m doing, I’m not sure if the NVLINK was worth it. I’ve tried some of the models I’m working with both with and without the NVLINK bridge in place and there’s no discernable difference. There may be some edge cases I get to in the future, but for inference on GPT models and toying with stable diffusion, I’ve not seen a difference.
William Daugherty –
Good service
William Murdoch –
We bought two of these, and one of them showed up without the Y cable we need to connect it to our machine
Amazon Customer –
This is an bad thing to buy get something cheaper this is too expensive and not good for the price
Peter –
Bought this one for deep learning, and it freaking delivers results!!!
JJG –
Now that I experienced heat out the back, I see how perfect of a solution this is. Why are not all video cards like this?
Never can have enough memory for deep learning. Don’t believe any analysis that says you need less memory.