NVIDIA RTX PRO 6000 Blackwell vs NVIDIA Tesla K80 Comparison

# NVIDIA Tesla K80 vs NVIDIA RTX PRO 6000 Blackwell: Benchmark Analysis

The NVIDIA Tesla K80 and NVIDIA RTX PRO 6000 Blackwell occupy very different positions in the database's performance hierarchy. The Tesla K80, a Kepler-generation compute card from 2014, records an average benchmark score of 18,866 across OpenCL and Vulkan tests, placing it at the 63rd percentile of all GPUs tracked. The RTX PRO 6000 Blackwell, a 2025 workstation-class part, scores 16,408 in the Steel Nomad DX12 test, which puts it at the 59th percentile. These are not direct rivals in the traditional sense, but the data allows a useful comparison of legacy compute silicon against the current Blackwell PRO generation.

Head-to-Head Benchmarks

The database contains no head-to-head benchmark runs where both cards were tested on the identical workload, so the comparison below relies on each card's nearest recorded rivals.

Tesla K80 vs the field: The K80's 18,620 Geekbench OpenCL result sits 0.4% above the NVIDIA GeForce RTX 2070 (18,789) and 0.5% below the NVIDIA RTX 2000 Ada Generation (18,954). Against the NVIDIA Quadro K6000 (19,030), the K80 trails by 0.9%. The strongest comparable result among the nearest rivals is the AMD Radeon RX 6600 at 19,036, which is 0.9% ahead of the K80. The K80's average of 18,866 across the two Geekbench tests places it in a tight cluster of GPUs from the 2016-2022 era, all within roughly 1% of each other.

RTX PRO 6000 Blackwell vs the field: In the Steel Nomad DX12 test, the 6000 Blackwell posts 16,408. That is 0.0% behind the AMD Radeon PRO W7500 (16,415), and 0.3% behind the AMD Radeon RX 5700 XT (16,361). The AMD Radeon Pro 5600M (16,351) is 0.4% slower than the 6000, while the NVIDIA GeForce RTX 5090 D V2 (16,504) leads the 6000 by 0.6%. In short, the RTX PRO 6000's single recorded benchmark places it inside a five-card cluster where the spread from best to worst is less than one percentage point, meaning these scores are essentially equivalent within measurement noise.

Architecture Differences

The Tesla K80 is built on the GK210 chip using the Kepler 2.0 architecture, produced on TSMC's 28 nm process with 7,100 million transistors on a 561 mm² die, which gives a transistor density of 12.7 million per mm². The board carries 12 GB of GDDR5 memory on a 384-bit bus, delivering 240.6 GB/s of bandwidth. Its base clock is 562 MHz with a boost of 824 MHz, and memory runs at an effective 1,253 MHz (5 Gbps effective). The compute configuration includes 2,496 shading units, 208 texture mapping units, and 48 ROPs. The card has no tensor cores and no RT cores. Pixel throughput is 42.85 GPixel/s, texture fill is 171.4 GTexel/s. FP32 performance is 4.113 TFLOPS. It uses a dual-slot cooler, a single 8-pin power connector, and a recommended 700 W power supply, over PCIe 3.0 x16. It has no display outputs, and its API support includes DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.175. The board measures 267 mm (10.5 inches) in length. The production status is end-of-life, and the predecessor is the Tesla Fermi.

The RTX PRO 6000 Blackwell is built on the GB202 chip, Blackwell 2.0 architecture, made on TSMC's 5 nm node with 92,200 million transistors on a 750 mm² die, a density of 122.9 million per mm². Memory is 96 GB of GDDR7 on a 512-bit bus, for 1.79 TB/s of bandwidth. The core clock is 1,590 MHz with a boost of 2,617 MHz; memory runs at an effective 1,750 MHz (28 Gbps). It has 24,064 shading units, 752 texture mapping units, 192 ROPs, 188 RT cores, and 752 tensor cores. Pixel rate is 502.5 GPixel/s, texture rate is 1,968.0 GTexel/s. FP32 is rated at 126.0 TFLOPS, and FP16 is the same 126.0 TFLOPS at a 1:1 ratio. The card occupies a dual-slot width, needs a single 16-pin connector, and the system suggests a 1000 W PSU. The interface is PCIe 5.0 x16 with four DisplayPort 2.1b outputs. DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 are supported. The length is 304 mm (12 inches), height 137 mm (5.4 inches), and width 40 mm (1.6 inches). Production status is Active, released March 2025. Its predecessor is the Workstation Ada, and the launch MSRP was 8,565 USD.

The architectures could hardly be more different. The K80 is a dual-GPU compute card from the Kepler era, designed for massive parallel FP32 workloads in servers, with no display output and no consumer-oriented features such as RT cores or tensor cores. The 6000 Blackwell is a modern workstation GPU with dedicated RT cores, high FP32 throughput, and display outputs, built on the Blackwell architecture.

The Verdict

From the recorded data, the Tesla K80 and RTX PRO 6000 Blackwell are not interchangeable parts. The K80's average of 18,866 in Geekbench OpenCL/Vulkan puts it at the 63rd percentile of all GPUs, and its nearest rivals span only 1% of the score. It is a card that was already at end-of-life and is best suited for compute tasks that need high FP32 throughput per watt and do not need any display output. The RTX PRO 6000 Blackwell, with its 16,408 in Steel Nomad, sits in the 59th percentile and is within 1% of the closest rivals. It is a current-generation workstation card for graphics, rendering, and AI workloads, with features such as tensor cores and a much higher FP32 throughput. In short: if the workload is legacy CUDA compute on a power-constrained PCIe 3.0 system, the K80 remains usable, but if the workload is modern DX12/Vulkan with rendering, AI, or just a desire for a current card, the 6000 Blackwell is the obvious choice.

FAQ

Q: What does the Tesla K80's percentile score mean?

It means the K80's 18,866 average is higher than 63% of all GPUs in the database. Its nearest rivals, the GeForce RTX 2070, RTX 2000 Ada, Quadro K6000, and Radeon RX 6600, are all within 1% of each other, so the K80 is a solid mid-pack performer.

Q: How does the RTX PRO 6000 compare to the K80 in FP32?

The K80 records 4.113 FP32 TFLOPS, while the RTX PRO 6000 records 126.0 TFLOPS FP32. The RTX PRO 6000 is 29.6 times higher, but the K80 is a dual-GPU card and the RTX is a single GPU, so the difference is mostly architecture and node. For FP16, the K80 has no native FP16 pathway, whereas the RTX PRO 6000 has 126.0 TFLOPS FP16.

Q: What are the best use cases for the Tesla K80?

The K80 has no display outputs, so it is a pure compute card. Its high FP32 and memory bandwidth are well suited for scientific computing and FP32 training on a power-constrained platform. Its end-of-life status means it is best for legacy systems.

Q: What about the RTX PRO 6000?

The RTX PRO 6000 is a current workstation card with display outputs, so it can drive four 8K monitors. The high FP32 with the same tensor cores and RT cores makes it a general purpose workstation for AI, rendering, and visualization.

Q: Which is better for gaming?

Neither is a gaming card. The Tesla is a compute-only card, and the RTX PRO 6000 is a workstation card. The K80 has no tensor cores and 4 TFLOPS FP32, while the 6000 has tensor cores and 126 TFLOPS, so the modern card is faster in every metric, but for gaming, the 6000's drivers are not game-optimized, and the K80's are end-of-life.

Q: What are the power requirements?

The Tesla K80 has a 300 W TDP and a single 8-pin connector, and the recommended PSU is 700 W. The RTX PRO 6000 has a 600 W TDP with a 16-pin connector and a 1000 W recommended PSU. Both are dual-slot cards.

Where Each One Wins

Choose the Tesla K80 if the workload is legacy CUDA/OpenCL compute on a PCIe 3.0 x16 slot with only 700 W of headroom, and no display outputs are required. It is end-of-life, but the data shows it still holds its own around the 63rd percentile in compute benchmarks.

Choose the RTX PRO 6000 Blackwell if the workload is modern, needs a display output for a multi-monitor workstation, or requires tensor cores for AI or RT cores for ray tracing. It is active, supports the latest APIs, and delivers over 30 times the FP32 throughput with the same 1:1 FP16 ratio.

In the benchmark data, the Tesla K80 is a known-quantity mid-pack compute card, while the RTX PRO 6000 Blackwell is a front-of-pack workstation card. The K80's only nearest rivals all sit within a 1% band, and the 6000's nearest rivals sit within a 0.6% band, so both are exactly where the data expects them to be: the K80 in the legacy compute cluster, the 6000 in the modern workstation class.