GPU Comparison
NVIDIA A100 PCIe 80 GB
L20
PERFORMANCE BENCHMARKS
Analysis: NVIDIA A100 PCIe 80 GB vs NVIDIA L20
The NVIDIA L20 and NVIDIA A100 PCIe 80 GB are both dual-slot server accelerators aimed at data centers, but they represent two distinct generations of NVIDIA's design philosophy. The L20 is built on the newer Ada Lovelace architecture, while the A100 is an Ampere-era card that has since been marked as end-of-life. Benchmark data shows a clear overall winner, but the specific strengths of each card make them suitable for different workloads. This analysis compares the two based solely on the provided specifications and benchmark results.
Where Each One Wins
Based on the available benchmark data, the NVIDIA L20 is the definitive winner in raw compute performance. In the single head-to-head benchmark available, the Geekbench OpenCL test, the L20 scores 274,276 points compared to the A100's 207,124 points. This translates to a 32.4% advantage for the L20, a substantial margin that indicates a significant generational leap in general-purpose compute capabilities. The L20 also holds a win in the Vulkan API test with a score of 228,018, though no direct A100 result is available for that test.
The NVIDIA A100 PCIe 80 GB does not win in any of the head-to-head benchmarks, but it holds a decisive advantage in one critical specification: memory capacity. With 80 GB of HBM2e memory, it offers 32 GB more memory than the L20's 48 GB of GDDR6. This larger memory pool is a qualitative advantage for workloads that require massive datasets to be resident on the GPU, such as large language model inference or giant scientific simulations. The A100 also offers significantly higher memory bandwidth at 1.94 TB/s, which is more than double the L20's 864.0 GB/s, making it potentially faster for memory-bound tasks that fit within its larger frame buffer.
Architecture Differences
The two cards are built on fundamentally different architectures and process nodes. The L20 uses the AD102 chip on the Ada Lovelace architecture, fabricated on a 5 nm process at TSMC. This newer node allows for a much higher transistor density of 125.3M / mm², packing 76,300 million transistors into a 609 mm² die. The A100, in contrast, uses the GA100 chip on the older Ampere architecture, built on a 7 nm process. Its die is larger at 826 mm² but contains fewer transistors (54,200 million) with a lower density of 65.6M / mm².
These architectural differences lead to stark contrasts in compute and feature sets. The L20 is equipped with 11,776 shading units, 368 TMUs, and 128 ROPs, along with 92 RT cores and 368 Tensor Cores. The A100 has fewer shading units (6,912) but more TMUs (432) and ROPs (160). Critically, the A100 has no RT cores listed, while the L20 has a full complement. The L20 also supports modern APIs including DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, whereas the A100 lists no API support data, suggesting it is not designed for graphics workloads. The A100 compensates with more Tensor Cores (432 vs 368), which are essential for AI training and inference.
Clock speeds also differ dramatically. The L20 has a base clock of 1440 MHz and a boost clock of 2520 MHz, while the A100 operates at a much lower 1065 MHz base and 1410 MHz boost. This, combined with the architectural efficiency of Ada Lovelace, explains the L20's massive FP32 performance advantage of 59.35 TFLOPS versus the A100's 19.49 TFLOPS. However, the A100's FP16 performance is listed at 77.97 TFLOPS (4:1 ratio), which is higher than the L20's 59.35 TFLOPS (1:1 ratio), indicating a specialized strength in mixed-precision AI workloads.
Head-to-Head Benchmarks
The only direct comparison available is the Geekbench OpenCL test, and the results are unequivocal. The NVIDIA L20 scores 274,276, while the NVIDIA A100 scores 207,124. The L20's score is 32.4% higher, a substantial lead that places it firmly ahead in general compute performance. This result aligns with the L20's position in the average benchmark score standings, where it achieves 251,147 versus the A100's 207,124.
Looking at the wider competitive landscape from the nearest rivals data, the L20's standing is strong. It sits 11.6% above the NVIDIA PG506-232 and 14.2% above the AMD Radeon PRO W7900D. It trails the higher-end NVIDIA L40 by 11.6% and the RTX 6000 Ada Generation by 12.6%. The A100, on the other hand, is only 5.7% ahead of the RTX 6000D and 6.5% ahead of the Tesla V100S PCIe 32 GB, but it falls behind the AMD Radeon PRO W7900D by 5.8% and the PG506-232 by 8%. This data suggests that the L20 competes in a higher performance tier than the A100, even though both cards achieve the 99th percentile in the overall GPU rankings.
The L20's performance is not just about a single score. Its Geekbench Vulkan score of 228,018 further demonstrates its capability in modern graphics and compute APIs, a feature entirely absent from the A100. The A100's sole benchmark result is its OpenCL score, which is its only data point for comparison.
The Verdict
From the data, the NVIDIA L20 is the clear choice for any workload that prioritizes raw compute throughput and modern feature support. Its 32.4% lead in OpenCL, higher FP32 performance, and inclusion of RT cores and modern API support make it a more versatile and faster accelerator for general-purpose computing, rendering, and any task that can leverage the Ada Lovelace architecture. Its 99th percentile ranking and competitive position against newer cards like the L40 and RTX 6000 Ada Generation confirm its high-end status.
The NVIDIA A100 PCIe 80 GB is the right pick for a specific niche: massive memory capacity and bandwidth. Its 80 GB of HBM2e memory with 1.94 TB/s bandwidth is a significant advantage over the L20's 48 GB GDDR6 configuration. For workloads where the entire model or dataset must fit in GPU memory and where memory bandwidth is the primary bottleneck, the A100's architecture remains relevant. Its higher FP16 performance (77.97 TFLOPS) also suggests it may still be competitive for certain AI training tasks that rely heavily on Tensor Core operations, despite being end-of-life.
For a builder selecting a new accelerator today, the L20's active production status, superior compute scores, and modern feature set make it the more future-proof and generally capable option. The A100, while still powerful in memory-centric scenarios, is a legacy part that has been superseded in most other respects.
FAQ
Q: Which GPU is faster in the Geekbench OpenCL benchmark?
A: The NVIDIA L20 is significantly faster, scoring 274,276 compared to the A100's 207,124, which is a 32.4% difference.
Q: Does the NVIDIA A100 have ray tracing cores?
A: No, the specification pack does not list any RT cores for the A100, whereas the L20 is equipped with 92 RT cores.
Q: Which card has more memory bandwidth?
A: The NVIDIA A100 PCIe 80 GB has substantially more bandwidth at 1.94 TB/s, compared to the L20's 864.0 GB/s.
Q: What is the production status of each card?
A: The NVIDIA L20 is listed as "Active," while the NVIDIA A100 PCIe 80 GB is listed as "End-of-life."
Q: How does the L20 compare to the NVIDIA L40 in average benchmark scores?
A: The L20 is behind the L40. The L40 has an average score of 284,111, while the L20's average is 251,147, putting the L20 11.6% behind.
Q: What is the memory size difference between the two cards?
A: The A100 has 80 GB of HBM2e memory, while the L20 has 48 GB of GDDR6 memory, a difference of 32 GB in favor of the A100.
Specification Differences
| Specification | NVIDIA L20 | NVIDIA A100 PCIe 80 GB |
| :--- | :--- | :--- |
| Architecture | Ada Lovelace | Ampere |
| 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 | 1065 MHz |
| Boost Clock | 2520 MHz | 1410 MHz |
| Memory Size | 48 GB | 80 GB |
| Memory Type | GDDR6 | HBM2e |
| Memory Bus | 384 bit | 5120 bit |
| Memory Bandwidth | 864.0 GB/s | 1.94 TB/s |
| Memory Clock | 2250 MHz (18 Gbps effective) | 1512 MHz (3 Gbps effective) |
| Shading Units | 11776 | 6912 |
| TMUs | 368 | 432 |
| ROPs | 128 | 160 |
| RT Cores | 92 | null |
| 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 | 300 W |
| Power Connectors | 1x 16-pin | 8-pin EPS |
| Suggested PSU | 600 W | 700 W |
| Display Outputs | 4x DisplayPort 1.4a | No outputs |
| APIs | DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.4 | null |
| Release Date | 2023-11-15 | 2021-06-27 |
| Production Status | Active | End-of-life |