--- product_id: 78933046 title: "HHCJ6 Dell NVIDIA Tesla K80 24GB GDDR5 PCI-E 3.0 Server GPU Accelerator (Renewed)" brand: "dell" price: "R6253" currency: ZAR in_stock: true reviews_count: 12 category: "Amazon Renewed" url: https://www.desertcart.co.za/products/78933046-hhcj6-dell-nvidia-tesla-k80-24gb-gddr5-pci-e-3 store_origin: ZA region: South Africa --- # 4992 CUDA cores for massive parallel compute 24GB GDDR5 memory for heavy data throughput PCI-E 3.0 interface for high-speed server integration HHCJ6 Dell NVIDIA Tesla K80 24GB GDDR5 PCI-E 3.0 Server GPU Accelerator (Renewed) **Brand:** dell **Price:** R6253 **Availability:** ✅ In Stock ## Summary > 🚀 Power your AI ambitions with Tesla K80 — the silent giant of GPU acceleration! ## Quick Answers - **What is this?** HHCJ6 Dell NVIDIA Tesla K80 24GB GDDR5 PCI-E 3.0 Server GPU Accelerator (Renewed) by dell - **How much does it cost?** R6253 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.co.za](https://www.desertcart.co.za/products/78933046-hhcj6-dell-nvidia-tesla-k80-24gb-gddr5-pci-e-3) ## Best For - dell enthusiasts ## Why This Product - Trusted dell brand quality - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - • **Passive Cooling Ready:** Designed for high airflow server environments; customize cooling with aftermarket fans or liquid solutions for peak performance. - • **Optimized for AI & HPC:** Delivers 5-10x performance boosts on key applications like LLMs, quantum simulations, and molecular dynamics. - • **Unmatched Compute Power:** Harness 4992 CUDA cores to accelerate AI, ML, and scientific workloads with ease. - • **Massive 24GB GDDR5 Memory:** Load and process large models and datasets without bottlenecks. - • **Seamless Server Integration:** PCI-E 3.0 compatibility ensures plug-and-play with enterprise-grade servers. ## Overview The Dell NVIDIA Tesla K80 is a renewed, high-performance server GPU accelerator featuring 4992 CUDA cores and 24GB of GDDR5 memory. Built on PCI-E 3.0, it delivers significant speedups (5-10x) in AI, machine learning, and scientific computing workloads. Designed for passive cooling in server environments, it’s ideal for professionals running large language models and complex simulations who demand robust, scalable compute power at a competitive price. ## Description Buy HHCJ6 Dell NVIDIA Tesla K80 24GB GDDR5 PCI-E 3.0 Server GPU Accelerator (Renewed): Graphics Cards - desertcart.com ✓ FREE DELIVERY possible on eligible purchases Review: it's not for graphics - I am often amazed at the ignorance of some people, this is not a card for graphics. but people purchase it anyway . Thinking they are getting a cheap graphics card and then complain that it doesn't have any graphics. Anybody who's purchasing it for such an application is just deluding themselves. Having said that. What the card Is good for is providing your system with a processing subsystem for applications such as running LLM's for which it works extremely well.. If you do have it in a graphics-based system and you wanted to offload some Cuda functions to it . It may and I say may be possible. But probably slower than running on your native graphics card. Yes it runs hot because it's supposed to . It's a passive cooling system and requires a tremendous amount of airflow like you would find in a server. There are a number of fan adapters for this card , and one could make, if one were industrious enough a liquid cooling or Peltier cooling solution. this card works for exactly the reason I purchased it , which is being able to load LLM's I use a combination of backend applications such as a ollama coupled with WebUI and for TTS I'm using Coqui-TTS. All of this pairs with Wingman AI for the front end interface. I can run some fairly large models up to 27B on one card in conjunction with my main 4090 graphics card I can run 30 and 32B these are fairly large and accurate models. Review: Good product good price - Had to redo the thermal paste on the GPU (suggest you do the same if you get one) also suggest getting fans for it as it’s built with passive cooling which is no bueno… the active cooling systems are easily found and run about $30 bucks… a bit loud but well worth it. The gpu is good for LLM local builds and some other large tasks. It functions fine and for the price I will pick three of these any day over a new 5080. Not as fast as the Nvidia Instinct but more applicable use… ## Features - Dell Nvidia Tesla K80 GPU (Nvidia Part Number: 900-22080-0000-000) - Memory size (GDDR5): 24GB - CUDA cores: 4992 - Delivers 5-10x Boost In Key Application Performance for applications such as STAC-A2, RTM, SPECFEM3D, CAFFE, miniFEE, LSMS, Cloverleaf, CHROMA, Quantum Espresso, QMCPACK, HOOMD- Blue, NAMD, LAMMPS, GROMACS, AMBER ## Technical Specifications | Specification | Value | |---------------|-------| | ASIN | B07GJ45V3D | | Antenna Location | Professional | | Best Sellers Rank | #10,708 in Amazon Renewed ( See Top 100 in Amazon Renewed ) #847 in Computer Graphics Cards #3,544 in Renewed Computers & Accessories | | Brand | Dell | | Compatible Devices | Server | | Customer Reviews | 3.9 out of 5 stars 137 Reviews | | Display Resolution Maximum | 4096x2160 | | Graphics Card Interface | PCI-Express x16 | | Graphics Card Ram | 24 GB | | Graphics Coprocessor | NVIDIA Tesla K80 | | Graphics Description | high-performance GPU accelerator for professional applications | | Graphics Processor Manufacturer | NVIDIA | | Graphics RAM Type | GDDR5 | | Graphics Ram Size | 24 GB | | Graphics Ram Type | GDDR5 | | Item Dimensions L x W | 10.5"L x 4.4"W | | Manufacturer | Dell Computers | | Memory Clock Speed | 2.5 GHz | | Mfr Part Number | HHCJ6 | | Model Name | K80 24GB GDDR5 PCI-E 3.0 | | Model Number | HHCJ6 | | Number of Items | 1 | | Recommended Uses For Product | Professional | | UPC | 680266196275 | | Video Processor | NVIDIA | | Warranty Description | 90 days limited warranty | ## Product Details - **Brand:** Dell - **Graphics Coprocessor:** NVIDIA Tesla K80 - **Graphics Processor Manufacturer:** NVIDIA - **Graphics RAM Type:** GDDR5 - **Graphics Ram Size:** 24 GB ## Images ![HHCJ6 Dell NVIDIA Tesla K80 24GB GDDR5 PCI-E 3.0 Server GPU Accelerator (Renewed) - Image 1](https://m.media-amazon.com/images/I/51XS1ITLIFL.jpg) ## Questions & Answers **Q: what is this** A: This card is used in high performance computing. It's not a graphics card like most consumers would look for. This card has no video output. **Q: Can this support a motherboard running an amd processor using a b450 chipset?** A: Yes, all you need is the correct Nvidia driver. However, since this is a server based GPU, it will run hot on a PC without custom cooling. **Q: Would this be effective for point cloud analysis, e.g. lidar interpolation?** A: I don’t see why would be any problem I have been used it and it have give no problem a all **Q: Does this fit the B550E motherboard?** A: Will work . ## Customer Reviews ### ⭐⭐⭐⭐⭐ it's not for graphics *by J***S on October 2, 2025* I am often amazed at the ignorance of some people, this is not a card for graphics. but people purchase it anyway . Thinking they are getting a cheap graphics card and then complain that it doesn't have any graphics. Anybody who's purchasing it for such an application is just deluding themselves. Having said that. What the card Is good for is providing your system with a processing subsystem for applications such as running LLM's for which it works extremely well.. If you do have it in a graphics-based system and you wanted to offload some Cuda functions to it . It may and I say may be possible. But probably slower than running on your native graphics card. Yes it runs hot because it's supposed to . It's a passive cooling system and requires a tremendous amount of airflow like you would find in a server. There are a number of fan adapters for this card , and one could make, if one were industrious enough a liquid cooling or Peltier cooling solution. this card works for exactly the reason I purchased it , which is being able to load LLM's I use a combination of backend applications such as a ollama coupled with WebUI and for TTS I'm using Coqui-TTS. All of this pairs with Wingman AI for the front end interface. I can run some fairly large models up to 27B on one card in conjunction with my main 4090 graphics card I can run 30 and 32B these are fairly large and accurate models. ### ⭐⭐⭐⭐ Good product good price *by J***Z on April 1, 2025* Had to redo the thermal paste on the GPU (suggest you do the same if you get one) also suggest getting fans for it as it’s built with passive cooling which is no bueno… the active cooling systems are easily found and run about $30 bucks… a bit loud but well worth it. The gpu is good for LLM local builds and some other large tasks. It functions fine and for the price I will pick three of these any day over a new 5080. Not as fast as the Nvidia Instinct but more applicable use… ### ⭐⭐⭐⭐⭐ Absolute steal for the amount of GDDR5 *by K***J on April 29, 2024* Picked up for $59 and committed to not spending a dollar more to get it running on its own server. I wound up having to buy a couple flash drives for $11, so $70 all-in. I used an old bargain-bin motherboard with a dual-core FM2 CPU with integrated graphics which was living in a dusty closet box and which had a stick of RAM left on it, some leftover 25mm fans (and yes, these ARE awful to listen to) I affixed to the card directly with spare acrylic glue, and a free PSU which came with one more CPU power connector than I required for the motherboard -- and, of course, drivers from Liz II's reign. I've spent somewhere around 10 hours getting everything to work -- I tried a free flash drive which failed before caving and buying a couple decent ones; this wasted a lot of time -- I also started off working on two other motherboards, but found them to be unsuitable for different reasons. The current working setup is sitting on the floor lifted by a clothespin and a tube of chapstick, and I think the stick of RAM is bad, but the K80 is now remotely addressable when the rest of the system feels like working, by God. Just know what you're getting into: a project, and Fun with a capital F. Note, too, that setups like this are not supported by Nvidia and is not how the cards were designed to operate. Don't expect it to work with any random PC setup; in theory, you should use a certified-compatible motherboard and power supply in an enclosure made to handle cooling cards like this. ## Frequently Bought Together - HHCJ6 Dell NVIDIA Tesla K80 24GB GDDR5 PCI-E 3.0 Server GPU Accelerator (Renewed) - GinTai Graphics Card Power Cable 030-0571-000 CPU 8 (Pin) Male to Dual PCIe 8 P-in Female Adapter for Tesla K80/M40/M60/P40/P100 4-inch(10cm) - COMeap NVIDIA Graphics Card Power Cable 030-0571-000 CPU 8 Pin Male to Dual PCIe 8 Pin Female Adapter for Tesla K80/M40/M60/P40/P100 4 inches (2-Pack) (10cm) --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.co.za/products/78933046-hhcj6-dell-nvidia-tesla-k80-24gb-gddr5-pci-e-3](https://www.desertcart.co.za/products/78933046-hhcj6-dell-nvidia-tesla-k80-24gb-gddr5-pci-e-3) --- *Product available on Desertcart South Africa* *Store origin: ZA* *Last updated: 2026-08-28*