NVIDIA Jetson Orin Nano Super vs NVIDIA L20 Comparison

FAQ

Q: What are the core architectural differences between the NVIDIA Jetson Orin Nano Super and the NVIDIA L20?

A: The Jetson Orin Nano Super uses the GA10B chip on an 8 nm Samsung process with Ampere architecture, while the L20 uses AD102 on a 5 nm TSMC process with Ada Lovelace architecture. The L20 has 76,300 million transistors and a 609 mm² die, whereas the Jetson's die size is 200 mm² with transistor count listed as unknown.

Q: How do the memory subsystems compare between these two GPUs?

A: The Jetson Orin Nano Super has 8 GB of LPDDR5 on a 128-bit bus with 102.4 GB/s bandwidth, while the L20 has 48 GB of GDDR6 on a 384-bit bus with 864.0 GB/s bandwidth. The L20's memory bandwidth is roughly 8.4 times higher.

Q: Which GPU has more compute units for parallel processing workloads?

A: The L20 has 11,776 shading units, 368 TMUs, 128 ROPs, 92 RT cores, and 368 tensor cores. The Jetson Orin Nano Super has 1,024 shading units, 32 TMUs, 16 ROPs, and 32 tensor cores, with no RT cores listed.

Q: What is the performance class of each GPU according to the database?

A: The L20 sits in the 99th percentile of all GPUs with an average benchmark score of 251,147 across Geekbench OpenCL (274,276) and Vulkan (228,018) tests. The Jetson Orin Nano Super is in the 50th percentile with no recorded benchmark scores in the database.

Q: How does the L20 compare to its nearest rivals?

A: The L20 is 11.6% ahead of the NVIDIA PG506-232 and 14.2% ahead of the AMD Radeon PRO W7900D. It trails the NVIDIA L40 by 11.6% and the NVIDIA RTX 6000 Ada Generation by 12.6%.

Q: What are the power and physical requirements for each?

A: The Jetson Orin Nano Super has a 25 W TDP and is an integrated GPU (IGP) with dimensions of 70 mm by 45 mm. The L20 has a 275 W TDP, is dual-slot, requires a 600 W suggested PSU, uses a 16-pin power connector, and measures 267 mm by 111 mm.

Architecture Differences

The two NVIDIA parts belong to different architecture generations and target completely different form factors. The Jetson Orin Nano Super uses the GA10B chip built on Samsung's 8 nm node, part of the Tegra (Ampere) generation. The L20 uses AD102 on TSMC's 5 nm node, part of the Server Ada (Lxx) generation. This node difference alone accounts for significant disparities in density and power efficiency potential.

Transistor counts tell a dramatic story. The L20 packs 76,300 million transistors into a 609 mm² die, yielding a transistor density of 125.3 million per square millimeter. The Jetson's die is only 200 mm², and its transistor count is unknown, but the physical size difference suggests a vastly smaller scaling of compute resources.

Compute resource allocation diverges sharply. The L20 carries 11,776 shading units, 368 TMUs, and 128 ROPs, while the Jetson Orin Nano Super has 1,024 shading units, 32 TMUs, and 16 ROPs. The L20 also features 92 dedicated RT cores and 368 tensor cores; the Jetson has 32 tensor cores and no RT core count listed. This makes the L20 a far more complete accelerator for ray-traced workloads and AI inference at scale.

Memory architecture reinforces the separation. The Jetson uses 8 GB of LPDDR5 on a 128-bit bus with a 102.4 GB/s bandwidth. The L20 uses 48 GB of GDDR6 on a 384-bit bus, delivering 864.0 GB/s. The L20's wider bus and higher-bandwidth memory type are designed for data-center workloads that move large datasets, while the Jetson's compact LPDDR5 configuration suits embedded and edge deployments.

Clock behavior differs as well. The L20 has a base clock of 1440 MHz and a boost of 2520 MHz, with memory running at 2250 MHz (18 Gbps effective). The Jetson lists no base or boost clock, only a memory clock of 800 MHz (6.4 Gbps effective). The L20's boost clock is nearly twice the Jetson's memory clock, underscoring the gulf in raw throughput.

The API support is identical: both list DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. However, the physical interfaces differ. The Jetson runs on PCIe 4.0 x4 and is an integrated GPU with no slot width, while the L20 uses PCIe 4.0 x16 and occupies a dual-slot form factor. Display outputs also differ: the Jetson is portable-device dependent, while the L20 provides 4x DisplayPort 1.4a.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark results between the Jetson Orin Nano Super and the L20. The Jetson has no recorded benchmark scores, and the head-to-head array is empty. However, the L20's standalone measurements provide a reference point for its performance tier.

In Geekbench OpenCL, the L20 scores 274,276. In Geekbench Vulkan, it scores 228,018. These yield an average benchmark score of 251,147. The Jetson's average benchmark score is listed as 0, with no tests recorded. This absence of data means a direct numeric comparison is not possible from the database.

The L20's nearest rivals give context to its performance class. It sits 11.6% above the NVIDIA PG506-232 (average score 225,124) and 14.2% above the AMD Radeon PRO W7900D (average score 219,827). It trails the NVIDIA L40 by 11.6% (average score 284,111) and the NVIDIA RTX 6000 Ada Generation by 12.6% (average score 287,237). The L20's 99th percentile ranking confirms it belongs to the top tier of GPUs in the database.

Since no benchmark data exists for the Jetson, the only meaningful comparison comes from the specification sheet. The L20's FP32 throughput of 59.35 TFLOPS dwarfs the Jetson's 2.089 TFLOPS, a 28-fold difference. The L20's FP16 performance matches its FP32 at 59.35 TFLOPS (1:1 ratio), while the Jetson delivers 4.178 TFLOPS FP16 (2:1 ratio). The L20's texture rate of 927.4 GTexel/s and pixel rate of 322.6 GPixel/s far exceed the Jetson's 32.64 GTexel/s and 16.32 GPixel/s.

The Verdict

The data positions these as entirely different classes of hardware. The L20 is a server-grade accelerator with a 99th percentile ranking, 48 GB of GDDR6 memory, and 59.35 TFLOPS of FP32 compute. It is designed for data-center inference, rendering, and scientific workloads where memory capacity and throughput matter more than power efficiency.

The Jetson Orin Nano Super is an embedded, integrated GPU with a 25 W TDP and 8 GB of LPDDR5. Its 50th percentile ranking and lack of recorded benchmarks place it in the mid-range of the database's GPU population. It targets edge AI, robotics, and portable devices where physical size and power draw are primary constraints.

For buyers needing raw compute, the L20 is the clear choice. Its 11,776 shading units versus 1,024, its 368 tensor cores versus 32, and its 864.0 GB/s memory bandwidth versus 102.4 GB/s leave no ambiguity. The L20 also supports ray tracing with 92 RT cores, a feature entirely absent from the Jetson's specification sheet.

For buyers constrained by power and space, the Jetson Orin Nano Super has no equivalent in the L20. The L20 draws 275 W and occupies a dual-slot, 267 mm long card. The Jetson fits in 70 mm by 45 mm and draws only 25 W. The Jetson is an IGP, meaning it integrates into a system-on-module design rather than requiring a discrete PCIe card.

The L20's launch MSRP is absent from the database, while the Jetson carries a launch MSRP of 249 USD. The L20's predecessor is listed as Server Ampere and its successor as Server Hopper, placing it in a specific server product cycle. The Jetson has no predecessor or successor listed, reflecting its status as a standalone embedded part.

Specification Differences

| Field | NVIDIA Jetson Orin Nano Super | NVIDIA L20 |

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

| Chip | GA10B | AD102 |

| Architecture | Ampere | Ada Lovelace |

| Generation | Tegra (Ampere) | Server Ada (Lxx) |

| Process Node | 8 nm (Samsung) | 5 nm (TSMC) |

| Transistors | Unknown | 76,300 million |

| Die Size | 200 mm² | 609 mm² |

| Transistor Density | Not listed | 125.3M / mm² |

| Base Clock | Not listed | 1440 MHz |

| Boost Clock | Not listed | 2520 MHz |

| Memory Clock | 800 MHz (6.4 Gbps effective) | 2250 MHz (18 Gbps effective) |

| Memory Size | 8 GB LPDDR5 | 48 GB GDDR6 |

| Bus Width | 128 bit | 384 bit |

| Bandwidth | 102.4 GB/s | 864.0 GB/s |

| Shading Units | 1,024 | 11,776 |

| TMUs | 32 | 368 |

| ROPs | 16 | 128 |

| RT Cores | Not listed | 92 |

| Tensor Cores | 32 | 368 |

| Pixel Rate | 16.32 GPixel/s | 322.6 GPixel/s |

| Texture Rate | 32.64 GTexel/s | 927.4 GTexel/s |

| FP32 | 2.089 TFLOPS | 59.35 TFLOPS |

| FP16 | 4.178 TFLOPS (2:1) | 59.35 TFLOPS (1:1) |

| TDP | 25 W | 275 W |

| Slot Width | IGP | Dual-slot |

| Power Connectors | Not listed | 1x 16-pin |

| Suggested PSU | Not listed | 600 W |

| Bus Interface | PCIe 4.0 x4 | PCIe 4.0 x16 |

| Display Outputs | Portable Device Dependent | 4x DisplayPort 1.4a |

| Dimensions | 70 mm x 45 mm | 267 mm x 111 mm |

| Release Date | 2024-12-16 | 2023-11-15 |

| Predecessor | Not listed | Server Ampere |

| Successor | Not listed | Server Hopper |

| Launch MSRP | 249 USD | Not listed |

| Percentile | 50 | 99 |

| Avg Benchmark Score | 0 | 251,147 |

Where Each One Wins

The L20 wins decisively in every compute-heavy category recorded in the database. Its FP32 throughput of 59.35 TFLOPS is 28 times the Jetson's 2.089 TFLOPS. Its FP16 performance is equally lopsided at 59.35 TFLOPS versus 4.178 TFLOPS. The L20's 368 tensor cores dwarf the Jetson's 32, making it the superior choice for AI training and large-batch inference.

Memory-bound workloads favor the L20 without contest. The 48 GB GDDR6 pool with 864.0 GB/s bandwidth handles datasets far larger than the Jetson's 8 GB LPDDR5 at 102.4 GB/s. The L20's 384-bit bus width provides the headroom for multi-stream rendering, high-resolution texture loading, and large language model inference. The Jetson's 128-bit bus and LPDDR5 memory would bottleneck on any of these tasks.

Rasterization and pixel processing belong to the L20. Its pixel rate of 322.6 GPixel/s and texture rate of 927.4 GTexel/s outpace the Jetson's 16.32 GPixel/s and 32.64 GTexel/s by factors of 20 and 28, respectively. The L20's 128 ROPs versus 16 ROPs means higher fill rates for anti-aliased scenes and multi-viewport rendering.

Ray tracing is exclusively an L20 capability, given its 92 RT cores. The Jetson lists no RT cores, so ray-traced workloads are not supported at the hardware level. This makes the L20 the only option for DXR-based rendering or path-traced visualization.

The Jetson Orin Nano Super wins in the embedded and edge use cases. Its 25 W TDP versus 275 W makes it viable for battery-powered or passively cooled systems. Its 70 mm by 45 mm form factor fits in compact enclosures where the L20's 267 mm by 111 mm dual-slot card would not fit. The Jetson's IGP design eliminates the need for a discrete power connector, while the L20 requires a 16-pin connector and a 600 W suggested PSU.

The Jetson also wins on launch price, at 249 USD, though the L20 has no launch MSRP recorded. The Jetson's PCIe 4.0 x4 interface suits bandwidth-light applications like sensor fusion and real-time control. The L20's PCIe 4.0 x16 interface provides the data throughput expected in server environments.

The database shows zero benchmark wins for either GPU in direct head-to-head tests, because no such tests exist. The wins are entirely inferable from specifications and the L20's recorded scores. For data-center AI, rendering, and high-throughput compute, the L20 is the only viable part. For portable AI, robotics, and low-power inference, the Jetson Orin Nano Super is the only viable part.