NVIDIA RTX 5000 Ada Generation vs NVIDIA Tesla V100 SXM2 32 GB Comparison

# The Verdict

The data is unambiguous: the NVIDIA RTX 5000 Ada Generation outperforms the NVIDIA Tesla V100 SXM2 32 GB in every benchmark recorded. The RTX 5000 Ada wins both head-to-head tests, with a 33.1% lead in Geekbench OpenCL and a 35% lead in Geekbench Vulkan. Its average benchmark score of 184,664 places it in the 98th percentile of all GPUs, while the Tesla V100's average of 137,731 sits in the 96th percentile. Despite the V100's lower percentile ranking, it remains competitive within its own generation—its nearest rival, the Tesla V100 PCIe 16 GB, trails by just 0.2%, and the AMD Instinct MI100 is 0.9% behind.

For buyers choosing strictly from the data, the RTX 5000 Ada is the clear pick for any workload that leverages OpenCL or Vulkan, as it delivers roughly a third more performance in both. The Tesla V100 SXM2 32 GB, however, is end-of-life and has no display outputs, making it unsuitable for any workstation role requiring visual output. The RTX 5000 Ada is an active product with four DisplayPort 1.4a outputs, a dual-slot form factor, and a PCIe 4.0 x16 interface, whereas the V100 is an SXM module with no outputs and PCIe 3.0 x16. The verdict: if you need raw compute and are building a system today, the RTX 5000 Ada wins outright; if you require HBM2 memory bandwidth or are integrating into a legacy SXM infrastructure, the V100 retains niche relevance, but it cannot match the newer card's benchmark performance.

# Architecture Differences

The two GPUs come from different architectural eras. The RTX 5000 Ada uses the AD102 chip built on Ada Lovelace architecture, manufactured on a 5 nm process at TSMC with 76,300 million transistors on a 609 mm² die, yielding a transistor density of 125.3M per mm². The Tesla V100 SXM2 uses the GV100 chip on Volta architecture, fabricated on a 12 nm process at the same foundry, with 21,100 million transistors on a larger 815 mm² die, resulting in a much lower density of 25.9M per mm². The process advantage allows the Ada card to pack 12,800 shading units, 400 texture mapping units, and 176 ROPs, compared to the Volta card's 5,120 shading units, 320 TMUs, and 128 ROPs. The RTX 5000 Ada also includes 100 ray tracing cores and 400 tensor cores, while the V100 has no ray tracing cores but a higher count of 640 tensor cores.

Memory architecture diverges sharply. The RTX 5000 Ada uses 32 GB of GDDR6 on a 256-bit bus with 576.0 GB/s bandwidth, while the V100 uses 32 GB of HBM2 on a 4096-bit bus with 898.0 GB/s bandwidth. The V100's memory clock is 877 MHz (1754 Mbps effective), far lower than the Ada card's 2250 MHz (18 Gbps effective), but the wider bus compensates. In terms of compute throughput, the Ada card offers 65.28 TFLOPS FP32 and 65.28 TFLOPS FP16 (1:1 ratio), whereas the V100 delivers 15.67 TFLOPS FP32 and 31.33 TFLOPS FP16 (2:1 ratio). The Ada card's FP32 output is over four times the V100's, and its FP16 is roughly double. The V100's FP16 advantage is its 2:1 ratio, which allows double-rate performance, but the absolute numbers still favor the newer part. The RTX 5000 Ada supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4; the V100 supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. Both have the same TDP of 250 W and suggested PSU of 600 W, but the Ada card uses a 1x 16-pin power connector, while the V100 as an SXM module has no power connectors.

# Where Each One Wins

The RTX 5000 Ada Generation wins in every benchmark category recorded. In Geekbench OpenCL, it scores 175,286 against the V100's 131,696, a 33.1% advantage. In Geekbench Vulkan, it scores 194,041 against 143,765, a 35% lead. These results indicate that the Ada card is decisively faster in general-purpose compute workloads and graphics API performance. The V100's only potential edge lies in memory bandwidth—898.0 GB/s versus 576.0 GB/s—and in tensor core count, where it has 640 versus 400. For workloads that are heavily bandwidth-bound or that specifically utilize tensor cores for FP16 operations, the V100 may hold a theoretical advantage, but the benchmark data does not show this translating into wins. The V100's 2:1 FP16 ratio means it can process FP16 at double the FP32 rate, but the Ada card's raw FP16 throughput is still 65.28 TFLOPS, more than double the V100's 31.33 TFLOPS.

The Ada card also wins on connectivity and form factor. It is a dual-slot, 267 mm long, 112 mm high card with four DisplayPort 1.4a outputs, making it suitable for a workstation with multiple monitors. The V100 is an SXM module with no display outputs, requiring a host system with its own graphics solution. The Ada card uses PCIe 4.0 x16, which offers double the bandwidth of the V100's PCIe 3.0 x16. In terms of production status, the Ada card is active, while the V100 is end-of-life, meaning the Ada card has a longer expected availability for new systems.

# FAQ

Q: Which GPU has a higher average benchmark score?

A: The NVIDIA RTX 5000 Ada Generation scores an average of 184,664, while the NVIDIA Tesla V100 SXM2 32 GB scores 137,731. The Ada card is in the 98th percentile of all GPUs, and the V100 is in the 96th percentile.

Q: How much faster is the RTX 5000 Ada in OpenCL?

A: In the Geekbench OpenCL test, the RTX 5000 Ada scores 175,286 versus the V100's 131,696, a 33.1% difference.

Q: Does the Tesla V100 have ray tracing cores?

A: No, the Tesla V100 SXM2 has no ray tracing cores. The RTX 5000 Ada Generation has 100 ray tracing cores.

Q: What is the memory bandwidth difference?

A: The Tesla V100 SXM2 has 898.0 GB/s bandwidth from its HBM2 memory on a 4096-bit bus, while the RTX 5000 Ada has 576.0 GB/s from GDDR6 on a 256-bit bus. The V100 has higher bandwidth despite its older architecture.

Q: Which card supports more display outputs?

A: The RTX 5000 Ada has four DisplayPort 1.4a outputs, while the Tesla V100 SXM2 has no display outputs at all.

Q: What is the transistor count difference?

A: The RTX 5000 Ada has 76,300 million transistors on a 5 nm process, while the Tesla V100 has 21,100 million transistors on a 12 nm process. The Ada card's die is 609 mm², and the V100's is 815 mm².

# Head-to-Head Benchmarks

The head-to-head results are one-sided. In Geekbench OpenCL, the RTX 5000 Ada Generation scores 175,286, beating the Tesla V100 SXM2's 131,696 by 33.1%. This is a substantial margin, reflecting the Ada card's higher shading unit count (12,800 versus 5,120) and its 5 nm process advantage. The Vulkan test is even more lopsided: the Ada card scores 194,041 against the V100's 143,765, a 35% delta. The Ada card's Vulkan score is actually higher than its OpenCL score, suggesting strong graphics API optimization, while the V100's Vulkan score is only 9.2% above its OpenCL score. The Ada card's DirectX 12 Ultimate support (12_2) versus the V100's DirectX 12 (12_1) may contribute to better modern API performance, though both support Vulkan 1.4.

The largest single win for the Ada card is in Vulkan, where the 35% lead translates to 50,276 points. The OpenCL win of 33.1% equates to 43,590 points. These deltas are consistent with the theoretical compute gap—the Ada card's FP32 throughput of 65.28 TFLOPS is 4.17 times the V100's 15.67 TFLOPS, but the benchmark scores show a smaller gap, indicating that memory bandwidth (V100's 898.0 GB/s) and tensor core count (640 versus 400) partially compensate in real workloads. The V100's higher pixel rate (195.8 GPixel/s versus 448.8 GPixel/s) and texture rate (489.6 GTexel/s versus 1,020.0 GTexel/s) are both lower, though the Ada card's numbers are roughly double. The Ada card also has a higher boost clock (2550 MHz versus 1530 MHz) and base clock (1155 MHz versus 1290 MHz), with the V100's base clock being higher but its boost clock significantly lower.

# Specification Differences

The two cards differ in nearly every specification except memory size (both 32 GB), TDP (both 250 W), suggested PSU (both 600 W), and OpenGL version (both 4.6). The RTX 5000 Ada uses the AD102 chip on Ada Lovelace architecture, while the V100 uses GV100 on Volta. The process node is 5 nm versus 12 nm, and the die size is 609 mm² versus 815 mm². Transistor count is 76,300 million versus 21,100 million, with densities of 125.3M/mm² versus 25.9M/mm².

Clock speeds differ: the Ada card runs at 1155 MHz base and 2550 MHz boost, while the V100 runs at 1290 MHz base and 1530 MHz boost. Memory type is GDDR6 versus HBM2, with bus widths of 256 bit versus 4096 bit and bandwidths of 576.0 GB/s versus 898.0 GB/s. Memory clocks are 2250 MHz (18 Gbps effective) versus 877 MHz (1754 Mbps effective). The Ada card has 12,800 shading units, 400 TMUs, 176 ROPs, 100 RT cores, and 400 tensor cores; the V100 has 5,120 shading units, 320 TMUs, 128 ROPs, no RT cores, and 640 tensor cores.

Pixel rate is 448.8 GPixel/s versus 195.8 GPixel/s, and texture rate is 1,020.0 GTexel/s versus 489.6 GTexel/s. FP32 is 65.28 TFLOPS versus 15.67 TFLOPS, and FP16 is 65.28 TFLOPS (1:1) versus 31.33 TFLOPS (2:1). The Ada card is dual-slot with a 1x 16-pin power connector, while the V100 is an SXM module with no power connectors. Bus interface is PCIe 4.0 x16 versus PCIe 3.0 x16. Display outputs are four DisplayPort 1.4a versus none. DirectX support is 12 Ultimate (12_2) versus 12 (12_1); Vulkan support is 1.4 for both. The Ada card has dimensions of 267 mm length and 112 mm height; the V100 has no listed dimensions. Production status is Active versus End-of-life, with release dates of 2023-08-08 versus 2018-03-26. Predecessors are Workstation Ampere versus Tesla Pascal, and successors are Blackwell PRO W versus Tesla Turing.