NVIDIA A10G vs NVIDIA L20 Comparison

The NVIDIA L20 is the clear performance leader in this comparison, dominating the NVIDIA A10G in every benchmark recorded. The L20’s average benchmark score of 251,147 places it in the 99th percentile of all GPUs, while the A10G’s 151,963 average score sits in the 97th percentile. This gap is not marginal; it represents a fundamental generational leap in compute capability.

Head-to-Head Benchmarks

The data shows a decisive victory for the L20 across both tested workloads. In the Geekbench OpenCL test, the L20 scored 274,276 against the A10G’s 158,063. That is a delta of 73.5% in favor of the L20. To contextualize, this is not a close race; the L20 outperforms the A10G by nearly three-quarters of its own score. The Vulkan test tells a similar story, with the L20 achieving 228,018 points compared to the A10G’s 145,863, a 56.3% advantage. In both cases, the L20’s raw compute power translates directly into higher throughput.

Looking at the broader competitive landscape, the L20’s nearest rivals include the NVIDIA L40 and RTX 6000 Ada Generation, which score 284,111 and 287,237 respectively. The L20 trails those cards by 11.6% and 12.6%, but it sits comfortably above the NVIDIA PG506-232 and AMD Radeon PRO W7900D, which it beats by 11.6% and 14.2%. The A10G, by contrast, is clustered with older or lower-tier hardware. Its closest competitor is the NVIDIA Tesla V100 PCIe 32 GB, which it edges out by a meager 1.1%. The AMD Radeon Pro W6800X and NVIDIA A100 PCIe 40 GB are slightly ahead, beating the A10G by 5.4% and 6.5% respectively. This positioning makes clear that the A10G is a previous-generation workhorse, while the L20 represents the current performance tier.

The FP32 floating-point performance reinforces this hierarchy. The L20 delivers 59.35 TFLOPS, while the A10G manages 31.52 TFLOPS. That is an 88% advantage for the L20 in raw single-precision compute. Similarly, FP16 performance is doubled on the L20, with 59.35 TFLOPS versus the A10G’s 31.52 TFLOPS. Texture and pixel rates follow the same pattern: the L20’s 927.4 GTexel/s and 322.6 GPixel/s dwarf the A10G’s 492.5 GTexel/s and 164.2 GPixel/s. Every measurable compute metric in the fact pack favors the L20 by a wide margin.

The Verdict

The verdict is straightforward: the NVIDIA L20 is the superior product for any workload that prioritizes raw performance. It wins both head-to-head benchmarks, offers double the memory capacity, and delivers roughly twice the compute throughput of the A10G. The data does not support any scenario where the A10G is the faster option.

However, the A10G is not without its merits. Its 150 W TDP is nearly half the L20’s 275 W, and it is a single-slot card while the L20 is dual-slot. For dense server deployments where power and physical space are the primary constraints, the A10G’s efficiency profile is compelling. It also uses a standard 8-pin EPS power connector, whereas the L20 requires a 16-pin connector, which may simplify integration into existing infrastructure.

Who should pick which? If the goal is maximum throughput per GPU, the L20 is the only choice. Its 48 GB of memory is double the A10G’s 24 GB, which matters for large models or datasets that must reside in VRAM. The L20 also has a 99th percentile ranking, placing it among the top GPUs in the database. If the goal is to maximize GPU density per rack or minimize power draw per node, the A10G remains viable, but the performance penalty is severe. The L20 is the verdict for performance; the A10G is the verdict for density and power efficiency.

Architecture Differences

The L20 is built on the Ada Lovelace architecture, using the AD102 chip fabricated on a 5 nm process by TSMC. This node packs 76,300 million transistors into a 609 mm² die, yielding a transistor density of 125.3 million per square millimeter. The A10G, in contrast, uses the Ampere architecture with the GA102 chip on Samsung’s 8 nm process. It contains 28,300 million transistors on a slightly larger 628 mm² die, resulting in a much lower density of 45.1 million transistors per square millimeter. The newer node is a primary reason for the L20’s performance and efficiency advantages.

The L20 features 11,776 shading units, 368 texture mapping units, and 128 ROPs. It also includes 92 RT cores and 368 tensor cores. The A10G is configured with 9,216 shading units, 288 TMUs, and 96 ROPs, along with 72 RT cores and 288 tensor cores. The L20 has roughly 28% more shading units and 27% more tensor cores, which scales directly to its higher compute figures.

Memory architecture also diverges. The L20 uses 48 GB of GDDR6 on a 384-bit bus, achieving 864.0 GB/s of bandwidth. The A10G also uses GDDR6 on a 384-bit bus, but with only 24 GB and 600.2 GB/s of bandwidth. The L20’s memory clock is 2250 MHz (18 Gbps effective), while the A10G runs at 1563 MHz (12.5 Gbps effective). Both cards support PCIe 4.0 x16, and both expose DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 APIs.

Specification Differences

The most significant specification differences are in memory and compute. The L20 offers 48 GB of GDDR6, while the A10G offers 24 GB. The L20’s bandwidth of 864.0 GB/s outpaces the A10G’s 600.2 GB/s by 44%. Clock speeds differ as well: the L20 has a base clock of 1440 MHz and a boost of 2520 MHz, whereas the A10G runs at 1320 MHz base and 1710 MHz boost. The L20’s boost clock is 47% higher.

Other differences affect physical deployment. The L20 is a dual-slot card with a 275 W TDP, requiring a 1x 16-pin power connector and a 600 W suggested PSU. The A10G is a single-slot card with a 150 W TDP, an 8-pin EPS connector, and a 450 W suggested PSU. The L20 has 4x DisplayPort 1.4a outputs, while the A10G has no display outputs. Both cards are 267 mm in length and roughly 111–112 mm in height. The L20 remains in active production, while the A10G is end-of-life. The L20’s release date is November 15, 2023; the A10G’s is April 11, 2021.

FAQ

Q: How much faster is the NVIDIA L20 than the A10G in OpenCL?

A: The L20 scores 274,276 in Geekbench OpenCL, which is 73.5% higher than the A10G’s 158,063.

Q: Does the A10G win any benchmark against the L20?

A: No. The L20 wins both recorded head-to-head benchmarks: Geekbench OpenCL (274,276 vs 158,063) and Geekbench Vulkan (228,018 vs 145,863).

Q: What is the memory capacity difference?

A: The L20 has 48 GB of GDDR6 memory, exactly double the A10G’s 24 GB. The L20 also has higher bandwidth at 864.0 GB/s versus 600.2 GB/s.

Q: Which card has a lower power draw?

A: The A10G has a 150 W TDP, while the L20 is rated at 275 W. The A10G also requires a 450 W suggested PSU versus 600 W for the L20.

Q: Are these cards based on the same architecture?

A: No. The L20 uses the Ada Lovelace architecture (AD102 chip, 5 nm TSMC), while the A10G uses the Ampere architecture (GA102 chip, 8 nm Samsung).

Q: Which card is better for a single-slot server chassis?

A: The A10G is a single-slot card, while the L20 is dual-slot. For dense single-slot deployments, the A10G fits, but the L20 requires more physical space.

Where Each One Wins

The L20 wins in every performance category measured. It is the choice for compute-heavy tasks such as large-scale AI inference, training, or rendering where the 59.35 TFLOPS FP32 and 48 GB memory are directly beneficial. Its 99th percentile ranking and 251,147 average score place it in the upper echelon of available GPUs. The L20’s 4x DisplayPort outputs also make it suitable for visualization workloads, a feature the A10G lacks entirely.

The A10G wins in power efficiency and physical density. With a 150 W TDP and single-slot form factor, it allows more GPUs per server and lower operational power costs. Its 31.52 TFLOPS is still respectable for many mid-tier workloads, and its 24 GB memory is sufficient for smaller models. The A10G’s 97th percentile ranking is not far behind the L20’s 99th, indicating it remains a capable card relative to the entire database. For deployments where space and power are the limiting factors, the A10G is the practical pick. For any workload where speed and capacity are paramount, the L20 is the definitive winner.