Best Pick
Tesla K8024GB GDDR5384-bit
Why we recommend this

Its dual-GPU design delivers 8.73 teraflops of single-precision compute and 24GB of GDDR5 memory with ECC protection, making it a throughput workhorse for server environments. The passive cooling requires directed server airflow, and its 480 GB/s memory bandwidth suits sustained, error-sensitive calculations. This accelerator is best for data center operators running dense, double-precision scientific simulations on legacy infrastructure.

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Great Alternatives

These options also score highly and may better suit your specific needs

Arc Pro B5016GB GDDR6128-bit70W
Why we recommend this ▼

The Xe2 microarchitecture and 16GB of GDDR6 VRAM with ECC support make this a compact, 70W workstation card that handles certified professional applications reliably. Its small 168mm blower design and four DisplayPort 2.1 outputs drive multiple high-resolution displays without needing external power. This card is best for engineers and CAD designers in small form factor workstations who need ISV-certified stability over raw gaming performance.

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GeForce RTX 306012GB GDDR6192-bit170W
Why we recommend this ▼

The 12GB GDDR6 memory on a 192-bit bus with 240 GB/s bandwidth gives this RTX 3060 ample headroom for modern textures at 1080p, while the 1807MHz boost clock and 3584 CUDA cores handle ray tracing and DLSS 2 workloads. The dual-fan Ventus cooler keeps the 170W TDP quiet in a compact 235mm card that fits most mid-tower builds, and the 3x DisplayPort 1.4a plus HDMI 2.1 outputs support 8K displays. This card suits budget gamers upgrading from older GPUs who want 1080p gaming with ray tracing enabled, though it is not ideal for AI or LLM tasks where its 40.1/100 score trails other options.

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Quadro P500016GB GDDR5X256-bit180W
Why we recommend this ▼

The Quadro P5000 pairs 2560 CUDA cores with 16GB of GDDR5X memory on a 256-bit bus, delivering 288 GB/s bandwidth and a 1607MHz boost clock for professional workloads. Its blower-style cooler and 180W TDP make it a straightforward drop-in for multi-GPU workstations, while four DisplayPort 1.4 outputs support high-resolution displays. This card suits CAD and 3D modeling users on a budget who need certified drivers and reliable performance without ray tracing.

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Tesla M6016GB GDDR5256-bit300W
Why we recommend this ▼

Equipped with 4096 CUDA cores and 16GB of GDDR5 memory on a 256-bit bus, this dual-GPU card delivers substantial parallel processing power for compute-intensive tasks. Its active cooling and 300W TDP via a single 8-pin connector make it a straightforward drop-in upgrade for server environments with adequate airflow. This card is best for data scientists running neural network training or engineers performing complex simulations in a dedicated workstation.

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GeForce RTX 50608GB GDDR7128-bit170W
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