NVIDIA L20 vs NVIDIA Tesla V100S PCIe 32 GB Comparison
NVIDIA L20
Tesla V100S PCIe 32 GB
PERFORMANCE BENCHMARKS
Analysis: NVIDIA L20 vs NVIDIA Tesla V100S PCIe 32 GB
The NVIDIA L20 and NVIDIA Tesla V100S PCIe 32 GB represent two distinct eras of NVIDIA's data center strategy, separated by four years of architectural evolution. The L20, built on the Ada Lovelace architecture, emerges as the clear performance leader in the available benchmark data, while the V100S, a Volta-generation product, remains competitive in specific memory bandwidth scenarios. This analysis examines the benchmark results, architectural differences, and use-case implications strictly from the provided facts.
The Verdict
The benchmark data delivers a decisive outcome: the NVIDIA L20 wins the only head-to-head test available, the Geekbench OpenCL benchmark, with a score of 274,276 against the V100S's 194,415. This represents a 41.1% advantage for the L20, a substantial margin that positions it as the superior choice for compute-heavy workloads measured by this test. The L20 also holds a higher overall percentile rank at 99 versus the V100S's 98, and its average benchmark score of 251,147 dwarfs the V100S's 194,415.
For users selecting between these two, the data strongly favors the L20 for general compute performance. The L20 is an active production product, while the V100S is end-of-life, which further reinforces the L20 as the forward-looking option. However, the V100S does retain one notable advantage: memory bandwidth. With 1.13 TB/s of bandwidth from its HBM2 memory, it exceeds the L20's 864.0 GB/s. This suggests that memory-bandwidth-bound workloads might still justify considering the V100S, despite its lower raw compute scores. The L20 is the pick for most scenarios, but the V100S has a niche case for specific memory-intensive tasks where its bandwidth advantage matters more than raw throughput.
Where Each One Wins
The L20 wins decisively in raw compute performance. Its Geekbench OpenCL score of 274,276 outpaces the V100S by 41.1%, and its FP32 throughput of 59.35 TFLOPS is more than 3.6 times the V100S's 16.35 TFLOPS. The L20 also delivers superior FP16 performance at 59.35 TFLOPS with a 1:1 ratio, whereas the V100S offers 32.71 TFLOPS at a 2:1 ratio. This means the L20 handles both single-precision and half-precision workloads with equal vigor, while the V100S prioritizes FP16 but still falls short in absolute terms.
The V100S wins in memory bandwidth, offering 1.13 TB/s compared to the L20's 864.0 GB/s. This is a 30.8% bandwidth advantage for the V100S, which could translate to better performance in memory-bound scenarios such as large matrix operations or data streaming tasks that saturate memory throughput. The V100S also has a wider memory bus at 4096 bits versus the L20's 384 bits, and its HBM2 memory is fundamentally different from the L20's GDDR6, which could impact latency-sensitive workloads.
In terms of ray tracing, the L20 has 92 RT cores while the V100S has none, making the L20 the only option for ray-traced workloads. The L20 also supports DirectX 12 Ultimate (12_2), while the V100S only supports DirectX 12 (12_1), giving the L20 a feature-level advantage for graphics applications.
Architecture Differences
The architectural gap between these two GPUs is generational and profound. The L20 uses the AD102 chip on the Ada Lovelace architecture, fabricated on TSMC's 5 nm process node with 76,300 million transistors on a 609 mm² die, achieving a transistor density of 125.3M per mm². The V100S uses the GV100 chip on the Volta architecture, fabricated on TSMC's 12 nm process with 21,100 million transistors on a larger 815 mm² die, yielding a much lower density of 25.9M per mm². The L20 packs more than 3.6 times the transistors into a smaller physical area, reflecting the massive process node advantage.
The L20's core configuration is dramatically different: 11,776 shading units, 368 TMUs, 128 ROPs, 92 RT cores, and 368 tensor cores. The V100S has 5,120 shading units, 320 TMUs, 128 ROPs, no RT cores, and 640 tensor cores. Notably, the V100S has more tensor cores (640 vs 368), which could theoretically benefit certain AI workloads, but the L20's tensor cores are based on a newer architecture that likely offers higher per-core efficiency. The L20 also has a much higher boost clock at 2520 MHz versus the V100S's 1597 MHz, contributing to its performance advantage.
Memory architecture differs fundamentally: the L20 uses 48 GB of GDDR6 on a 384-bit bus, while the V100S uses 32 GB of HBM2 on a 4096-bit bus. The V100S's HBM2 provides higher bandwidth but less capacity, while the L20 offers more capacity with lower bandwidth. The L20 also has a newer PCIe 4.0 x16 interface versus the V100S's PCIe 3.0 x16, potentially affecting data transfer speeds to and from the host system.
FAQ
Q: Why does the NVIDIA L20 score so much higher in Geekbench OpenCL?
A: The L20's 41.1% advantage in the Geekbench OpenCL benchmark (274,276 vs 194,415) stems from its newer Ada Lovelace architecture, 5 nm process node, 11,776 shading units, and higher boost clock of 2520 MHz compared to the V100S's 1597 MHz.
Q: Does the Tesla V100S have any performance advantage at all?
A: Yes, the V100S offers higher memory bandwidth at 1.13 TB/s versus the L20's 864.0 GB/s, thanks to its HBM2 memory on a 4096-bit bus. This could benefit memory-bound workloads even though its raw compute scores are lower.
Q: Which GPU is better for ray tracing?
A: The L20 is the only option for ray tracing, as it includes 92 RT cores while the V100S has none. The L20 also supports DirectX 12 Ultimate (12_2), whereas the V100S only supports DirectX 12 (12_1).
Q: How do their tensor core counts compare, and does it matter?
A: The V100S has 640 tensor cores versus the L20's 368, but the L20's tensor cores are from a newer generation. The L20's FP16 performance of 59.35 TFLOPS (1:1) exceeds the V100S's 32.71 TFLOPS (2:1), suggesting the newer tensor cores are more efficient per unit.
Q: Is the V100S still worth considering given it's end-of-life?
A: The V100S's production status is end-of-life, while the L20 is active. However, the V100S's 1.13 TB/s memory bandwidth remains a unique strength for memory-intensive applications, and it still ranks in the 98th percentile among all GPUs.
Q: What about memory capacity differences?
A: The L20 offers 48 GB of memory compared to the V100S's 32 GB, giving the L20 a 50% capacity advantage. This matters for workloads that require large datasets to reside in GPU memory.
Head-to-Head Benchmarks
The single available head-to-head benchmark, Geekbench OpenCL, shows a decisive victory for the L20. The L20 scored 274,276 against the V100S's 194,415, a delta of 41.1% in favor of the L20. This is a significant margin that aligns with the L20's architectural advantages: more shading units (11,776 vs 5,120), higher boost clock (2520 MHz vs 1597 MHz), and a newer process node (5 nm vs 12 nm).
The L20's FP32 throughput of 59.35 TFLOPS is a 263% improvement over the V100S's 16.35 TFLOPS, directly explaining the OpenCL score disparity. Even in FP16, where the V100S was designed to excel with a 2:1 ratio, the L20's 59.35 TFLOPS (1:1) outperforms the V100S's 32.71 TFLOPS by 81.5%. The L20 also wins on pixel rate (322.6 GPixel/s vs 204.4 GPixel/s) and texture rate (927.4 GTexel/s vs 511.0 GTexel/s).
However, the V100S counters in memory bandwidth: 1.13 TB/s versus 864.0 GB/s, a 30.8% advantage. This is the one metric where the older GPU leads, and it could narrow the gap in memory-bound benchmarks not captured here. The V100S also has a wider memory bus (4096 bits vs 384 bits), which contributes to its bandwidth edge. For workloads that are bandwidth-limited rather than compute-limited, the V100S might perform closer to the L20 than the OpenCL score suggests.
Specification Differences
| Specification | NVIDIA L20 | NVIDIA Tesla V100S PCIe 32 GB |
|---|---|---|
| Process Node | 5 nm | 12 nm |
| Transistors | 76,300 million | 21,100 million |
| Die Size | 609 mm² | 815 mm² |
| Base Clock | 1440 MHz | 1245 MHz |
| Boost Clock | 2520 MHz | 1597 MHz |
| Memory Size | 48 GB | 32 GB |
| Memory Type | GDDR6 | HBM2 |
| Memory Bus | 384 bit | 4096 bit |
| Memory Bandwidth | 864.0 GB/s | 1.13 TB/s |
| Shading Units | 11776 | 5120 |
| TMUs | 368 | 320 |
| ROPs | 128 | 128 |
| RT Cores | 92 | None |
| Tensor Cores | 368 | 640 |
| Pixel Rate | 322.6 GPixel/s | 204.4 GPixel/s |
| Texture Rate | 927.4 GTexel/s | 511.0 GTexel/s |
| FP32 | 59.35 TFLOPS | 16.35 TFLOPS |
| FP16 | 59.35 TFLOPS (1:1) | 32.71 TFLOPS (2:1) |
| TDP | 275 W | 250 W |
| Power Connectors | 1x 16-pin | 2x 8-pin |
| Bus Interface | PCIe 4.0 x16 | PCIe 3.0 x16 |
| Display Outputs | 4x DisplayPort 1.4a | No outputs |
| DirectX Support | 12 Ultimate (12_2) | 12 (12_1) |
| Production Status | Active | End-of-life |
| Release Date | 2023-11-15 | 2019-11-25 |