NVIDIA A100 SXM4 80 GB vs NVIDIA L20 Comparison

FAQ

Q: What is the overall performance difference between the NVIDIA L20 and the NVIDIA A100 SXM4 80 GB?

A: Based on the single shared benchmark result (Geekbench Vulkan), the NVIDIA L20 scores 228,018 against the A100's 183,725, giving the L20 a 24.1% lead. The L20 also has a higher average benchmark score of 251,147 versus 183,725 for the A100.

Q: How do these GPUs rank among all GPUs?

A: The NVIDIA L20 sits in the 99th percentile of all GPUs, while the A100 SXM4 80 GB is in the 98th percentile. Despite the L20 being one percentage point higher, both are near the top of the performance distribution.

Q: Which GPU has more memory and which has higher bandwidth?

A: The A100 SXM4 80 GB has 80 GB of HBM2e memory with a 5120-bit bus and 2.04 TB/s bandwidth. The L20 has 48 GB of GDDR6 memory on a 384-bit bus with 864.0 GB/s bandwidth. The A100 offers over twice the memory capacity and more than double the bandwidth.

Q: What are the release dates and production statuses?

A: The NVIDIA L20 was released on November 15, 2023, and is currently marked as Active. The A100 SXM4 80 GB was released on November 15, 2020, and is End-of-life. The L20 is the newer product, arriving three years after the A100.

Q: How do the nearest rivals compare for each GPU?

A: For the L20, its closest rival is the NVIDIA L40, which scores 284,111 and is 11.6% faster. For the A100, its closest rival is the NVIDIA RTX 5000 Ada Generation at 184,664, which is nearly identical (0.5% faster). The L20 leads its nearest lower rival, the NVIDIA PG506-232, by 11.6%.

Q: Do both GPUs support the same APIs?

A: No. The L20 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The A100 SXM4 80 GB lists no DirectX, OpenGL, or Vulkan support in the data. This reflects their different design targets, with the A100 lacking consumer-facing graphics APIs.

Architecture Differences

The NVIDIA L20 and A100 SXM4 80 GB represent two distinct architectural generations from NVIDIA. The L20 is built on the Ada Lovelace architecture using the AD102 chip, fabricated on a 5 nm process at TSMC. The A100 uses the Ampere architecture with the GA100 chip on a 7 nm process, also from TSMC. This process difference is significant: the L20 packs 76,300 million transistors into a 609 mm² die, achieving a transistor density of 125.3 million per square millimeter. The A100, by contrast, contains 54,200 million transistors on a larger 826 mm² die, resulting in a much lower density of 65.6 million per square millimeter. The newer 5 nm node allows the L20 to fit roughly 40% more transistors in a smaller physical area.

Clock speeds differ substantially between the two. The L20 operates at a base clock of 1440 MHz and boosts to 2520 MHz. The A100 runs much lower, with a base of 1275 MHz and a boost of just 1410 MHz. The L20's boost clock is nearly 80% higher than the A100's, which contributes heavily to its performance advantage in raw throughput. Memory clocks also diverge: the L20 uses 2250 MHz memory with 18 Gbps effective data rate, while the A100 uses 1593 MHz memory at 3.2 Gbps effective. The A100 compensates with a far wider memory bus and different memory technology.

The compute resources tell a complex story. The L20 has 11,776 shading units, 368 TMUs, and 128 ROPs. The A100 has fewer shading units at 6,912, but more TMUs (432) and more ROPs (160). For ray tracing, the L20 includes 92 RT cores, while the A100 lists none. Both have tensor cores, with the L20 sporting 368 and the A100 carrying 432. The A100's tensor core count is higher, but the L20's newer architecture and higher clocks change the performance equation, as the FP16 numbers show: the L20 achieves 59.35 TFLOPS FP16 (1:1), while the A100 reaches 77.97 TFLOPS but at a 4:1 ratio, meaning its FP16 throughput is achieved with reduced precision operations.

The form factors are entirely different. The L20 is a dual-slot PCIe card with a 267 mm length and 111 mm height, requiring a 600 W suggested PSU and a single 16-pin power connector. The A100 is an OAM module with no power connectors listed and an 800 W suggested PSU. The L20 includes four DisplayPort 1.4a outputs, making it capable of driving displays, while the A100 has no display outputs at all. These are fundamentally different physical designs aimed at different deployment scenarios.

Where Each One Wins

The NVIDIA L20 wins decisively in compute-heavy, graphics-oriented workloads. Its 24.1% lead in Geekbench Vulkan over the A100 demonstrates clear superiority in graphics API performance. The L20's 59.35 TFLOPS FP32 throughput dwarfs the A100's 19.49 TFLOPS, a 3x advantage in single-precision compute. For tasks that rely on standard FP32 math—such as traditional rendering, simulation, or general-purpose GPU computing—the L20 is the stronger choice. Its higher pixel rate (322.6 GPixel/s vs 225.6 GPixel/s) and texture rate (927.4 GTexel/s vs 609.1 GTexel/s) reinforce this advantage. The presence of RT cores and modern API support (DirectX 12 Ultimate, Vulkan 1.4) makes the L20 suitable for ray-traced workloads, while the A100 has no RT hardware and no listed graphics API support.

The A100 SXM4 80 GB wins in memory capacity and bandwidth, which are critical for large-scale data processing. Its 80 GB of HBM2e memory with 2.04 TB/s bandwidth is more than 2.3x the bandwidth of the L20's 864.0 GB/s. This makes the A100 better suited for workloads that involve massive datasets that must reside in GPU memory—training large neural networks, processing high-resolution scientific simulations, or handling big data analytics. The 80 GB capacity is 66% larger than the L20's 48 GB, allowing larger batch sizes or bigger models without spilling to system memory. The A100's FP16 throughput of 77.97 TFLOPS (4:1) also exceeds the L20's 59.35 TFLOPS, which is relevant for mixed-precision machine learning training where FP16 is the primary compute path. The A100 also has more tensor cores (432 vs 368), though architectural differences make direct comparisons imperfect.

The A100's higher TDP of 400 W versus 275 W for the L20 suggests it is designed for sustained compute in data center racks with adequate cooling, rather than for workstation or edge deployment. The A100's end-of-life status means it is a mature platform with established software ecosystems, while the L20 is active and newer. For users who need display outputs, the L20 is the only option; the A100 offers none.

Specification Differences

| Specification | NVIDIA L20 | NVIDIA A100 SXM4 80 GB |

|---|---|---|

| Architecture | Ada Lovelace | Ampere |

| Chip | AD102 | GA100 |

| Process Node | 5 nm | 7 nm |

| Transistors | 76,300 million | 54,200 million |

| Die Size | 609 mm² | 826 mm² |

| Transistor Density | 125.3M / mm² | 65.6M / mm² |

| Base Clock | 1440 MHz | 1275 MHz |

| Boost Clock | 2520 MHz | 1410 MHz |

| Memory Clock | 2250 MHz (18 Gbps effective) | 1593 MHz (3.2 Gbps effective) |

| Memory Size | 48 GB | 80 GB |

| Memory Type | GDDR6 | HBM2e |

| Memory Bus Width | 384 bit | 5120 bit |

| Memory Bandwidth | 864.0 GB/s | 2.04 TB/s |

| Shading Units | 11,776 | 6,912 |

| TMUs | 368 | 432 |

| ROPs | 128 | 160 |

| RT Cores | 92 | None |

| Tensor Cores | 368 | 432 |

| Pixel Rate | 322.6 GPixel/s | 225.6 GPixel/s |

| Texture Rate | 927.4 GTexel/s | 609.1 GTexel/s |

| FP32 Performance | 59.35 TFLOPS | 19.49 TFLOPS |

| FP16 Performance | 59.35 TFLOPS (1:1) | 77.97 TFLOPS (4:1) |

| TDP | 275 W | 400 W |

| Slot Width | Dual-slot | OAM Module |

| Power Connectors | 1x 16-pin | None |

| Suggested PSU | 600 W | 800 W |

| Display Outputs | 4x DisplayPort 1.4a | No outputs |

| API Support | DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.4 | None listed |

| Release Date | 2023-11-15 | 2020-11-15 |

| Production Status | Active | End-of-life |

Head-to-Head Benchmarks

The only direct benchmark comparison available is Geekbench Vulkan. The NVIDIA L20 scores 228,018, while the A100 SXM4 80 GB scores 183,725. This yields a delta of 24.1% in favor of the L20. This is a substantial margin, indicating that in a Vulkan graphics workload, the L20 is clearly superior. The L20's higher boost clock (2520 MHz vs 1410 MHz), greater shading unit count (11,776 vs 6,912), and modern architecture with RT cores all contribute to this outcome. The A100, despite having more memory bandwidth and capacity, cannot overcome these compute advantages in this particular test.

The average benchmark scores paint a similar picture. The L20 averages 251,147 across its two recorded benchmarks (Geekbench OpenCL at 274,276 and Geekbench Vulkan at 228,018). The A100's average is 183,725, based solely on its Vulkan result. The L20's average is 36.7% higher than the A100's single score. Even comparing the L20's lower Vulkan score to the A100's Vulkan score, the L20 leads by 24.1%. Looking at the nearest rivals provides additional context: the L20's closest competitor, the NVIDIA L40, scores 284,111 and beats the L20 by 11.6%. The A100's closest rival, the RTX 5000 Ada Generation, scores 184,664, which is only 0.5% faster than the A100. This suggests the A100 is well-positioned among its peers, while the L20 has a more significant gap to the next tier up.

The wins tally is one to zero in favor of the L20, as it wins the only head-to-head benchmark. However, the data available is limited to graphics-oriented tests. The A100's strengths in memory bandwidth and FP16 throughput are not captured in these benchmarks, so the head-to-head results should be interpreted as measuring graphics and general compute performance rather than the full range of possible workloads.

The Verdict

Based strictly on the data, the NVIDIA L20 is the superior choice for graphics and FP32 compute workloads. Its 24.1% lead in Vulkan performance, 3x advantage in FP32 throughput, and higher pixel and texture rates make it the clear pick for any task involving real-time rendering, ray tracing, or standard single-precision compute. The L20's active production status and newer release date (2023 vs 2020) also suggest it will have a longer support lifetime. The inclusion of display outputs and modern API support (DirectX 12 Ultimate, Vulkan 1.4) makes the L20 suitable for workstation use, whereas the A100 cannot drive any display.

The NVIDIA A100 SXM4 80 GB is the better choice for workloads that prioritize memory capacity and bandwidth above all else. Its 80 GB of HBM2e memory with 2.04 TB/s bandwidth is unmatched by the L20's 48 GB at 864.0 GB/s. For large-scale machine learning training where FP16 throughput matters, the A100's 77.97 TFLOPS (4:1) exceeds the L20's 59.35 TFLOPS. The A100 also has more tensor cores (432 vs 368), which could benefit certain AI workloads despite the older architecture. The A100's end-of-life status is a concern, but its performance in memory-bound tasks remains relevant.

The decision ultimately hinges on the nature of the workload. If the primary use case involves graphics, visualization, or FP32-heavy simulation, the L20 is the clear winner. Its benchmark scores and compute specifications are decisively ahead. If the workload involves massive datasets that require high memory capacity and bandwidth, or if mixed-precision training is the dominant task, the A100's 80 GB and 2.04 TB/s bandwidth provide capabilities the L20 cannot match. The L20's 99th percentile ranking versus the A100's 98th percentile supports the L20's overall edge in the available benchmarks, but the A100's memory architecture remains its key differentiator. Users requiring display output should choose the L20, as the A100 offers none. Users deploying in OAM-based systems with existing 800 W power infrastructure may find the A100 fits their platform, while the L20's dual-slot PCIe design with a 600 W suggested PSU suits more conventional server or workstation configurations.