AMD Instinct MI350P vs NVIDIA L20 Comparison

The Verdict

The recorded data presents a stark contrast between two accelerators aimed at different segments of the compute market. The AMD Instinct MI350P is positioned as a high-capacity, high-bandwidth compute engine with a focus on memory-intensive workloads, while the NVIDIA L20 is an established, active server product with verified benchmark scores. The data shows that the NVIDIA L20 holds a significant advantage in raw floating-point throughput, delivering 59.35 TFLOPS FP32 and FP16 performance, compared to the MI350P's 36.04 TFLOPS in both precision formats. This represents a 64.8% higher FP32 throughput for the L20, a substantial margin that directly impacts compute-bound tasks.

However, the MI350P counters with a massive memory advantage. Its 144 GB of HBM3e memory dwarfs the L20's 48 GB of GDDR6, offering three times the capacity. The bandwidth gap is even more pronounced, with the MI350P delivering 8.19 TB/s versus the L20's 864.0 GB/s, a difference of nearly 10 times. This makes the MI350P the clear choice for data-intensive applications where memory capacity and bandwidth are the primary bottlenecks, such as large language model inference or scientific simulations with enormous datasets. The L20, with its higher compute throughput and established benchmark results, is better suited for general-purpose compute tasks where its 99th percentile ranking among all GPUs indicates strong overall performance.

The MI350P lacks any recorded benchmark scores and has a 50th percentile ranking, which places it in the middle of the database's performance distribution based on its specifications alone. The L20, in contrast, has an average benchmark score of 251,147 and sits at the 99th percentile, demonstrating proven, real-world performance. Buyers seeking validated, immediately deployable compute power with robust software support should favor the L20. Those prioritizing extreme memory resources and bandwidth for specific, memory-bound workloads should consider the MI350P, despite its unverified performance metrics and future release date.

Architecture Differences

The two accelerators represent fundamentally different architectural approaches. The AMD Instinct MI350P is built on the CDNA 4.0 architecture, specifically designed for compute acceleration, and utilizes a 3 nm process node from TSMC. This advanced node allows for 73,000 million transistors packed into a 1190 mm² die, resulting in a transistor density of 61.3 million per square millimeter. The large die size and high transistor count suggest a design optimized for massive parallel compute and memory throughput, evidenced by its 8192 shading units and 512 texture mapping units. Notably, the MI350P has 0 render output units, a pixel rate of 0 MPixel/s, and no display outputs, confirming its pure compute focus with no graphics rendering capabilities.

The NVIDIA L20, by contrast, is based on the Ada Lovelace architecture, which is a more versatile design that includes both compute and graphics features. It uses a 5 nm process node from the same foundry, TSMC, and houses 76,300 million transistors on a smaller 609 mm² die, achieving a higher transistor density of 125.3 million per square millimeter. The L20 features 11,776 shading units, 368 TMUs, and 128 ROPs, alongside 92 ray tracing cores and 368 tensor cores. This configuration supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, and includes 4x DisplayPort 1.4a outputs, making it a fully featured accelerator that can handle both compute and graphics workloads.

The architectural divergence extends to memory technology. The MI350P uses HBM3e with an 8192-bit bus, which explains its extraordinary 8.19 TB/s bandwidth. The L20 uses GDDR6 with a 384-bit bus, delivering 864.0 GB/s. The MI350P's memory runs at 2000 MHz (8 Gbps effective), while the L20's memory operates at 2250 MHz (18 Gbps effective). The higher effective speed of the L20's GDDR6 cannot compensate for the vastly wider bus of the MI350P's HBM3e. The MI350P's base clock is 1000 MHz with a boost of 2200 MHz, while the L20 has a higher base clock of 1440 MHz and a boost of 2520 MHz, contributing to its higher FP32 throughput.

FAQ

Q: Which accelerator has a higher raw compute throughput?

A: The NVIDIA L20 delivers 59.35 TFLOPS in both FP32 and FP16, which is 64.8% higher than the AMD Instinct MI350P's 36.04 TFLOPS in the same precisions.

Q: How do the memory capacities compare?

A: The AMD Instinct MI350P offers 144 GB of HBM3e memory, which is three times the 48 GB of GDDR6 found on the NVIDIA L20.

Q: What is the difference in memory bandwidth?

A: The MI350P provides 8.19 TB/s of bandwidth, which is approximately 9.5 times the 864.0 GB/s available on the L20.

Q: Which product has verified benchmark results?

A: The NVIDIA L20 has recorded benchmark scores, including 274,276 in Geekbench OpenCL and 228,018 in Geekbench Vulkan, with an average score of 251,147. The MI350P has no recorded benchmarks.

Q: What is the power consumption difference?

A: The AMD Instinct MI350P has a TDP of 600 W and requires a 1000 W power supply, while the NVIDIA L20 has a TDP of 275 W and requires a 600 W power supply.

Q: When are these products released?

A: The NVIDIA L20 was released on 2023-11-15 and is marked as Active in production status. The AMD Instinct MI350P is scheduled for release on 2026-05-06.

Specification Differences

The AMD Instinct MI350P and NVIDIA L20 differ across nearly every major specification category, reflecting their distinct design goals. The MI350P uses the CDNA 4.0 architecture with an MI350 128CU chip, while the L20 uses the Ada Lovelace architecture with an AD102 chip. The manufacturing process differs, with the MI350P on a 3 nm node and the L20 on a 5 nm node, both from TSMC. Transistor counts are close, with the MI350P at 73,000 million and the L20 at 76,300 million, but the die sizes diverge significantly: the MI350P measures 1190 mm² versus 609 mm² for the L20, leading to much lower transistor density for the AMD part (61.3M per mm² versus 125.3M per mm²).

Clock speeds favor the L20, which has a base clock of 1440 MHz and a boost of 2520 MHz, compared to the MI350P's 1000 MHz base and 2200 MHz boost. Memory configurations are entirely different: the MI350P has 144 GB of HBM3e on an 8192-bit bus, while the L20 has 48 GB of GDDR6 on a 384-bit bus. The MI350P's bandwidth of 8.19 TB/s far exceeds the L20's 864.0 GB/s. The MI350P has 8192 shading units and 512 TMUs, but 0 ROPs, while the L20 has 11,776 shading units, 368 TMUs, and 128 ROPs. The L20 also includes 92 ray tracing cores and 368 tensor cores, features absent from the MI350P's specification sheet.

The MI350P has no pixel rate, listed as 0 MPixel/s, while the L20 has a pixel rate of 322.6 GPixel/s. Texture rates are 1,126.4 GTexel/s for the MI350P and 927.4 GTexel/s for the L20. FP32 and FP16 performance are both 36.04 TFLOPS for the MI350P and 59.35 TFLOPS for the L20. Power requirements differ substantially, with the MI350P at 600 W TDP and a suggested 1000 W PSU, versus the L20 at 275 W TDP and a suggested 600 W PSU. The MI350P uses PCIe 5.0 x16, while the L20 uses PCIe 4.0 x16. The L20 has 4x DisplayPort 1.4a outputs and supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4; the MI350P has no display outputs and no API support listed. Physical dimensions are identical in length and height (267 mm and 111 mm), with the MI350P having a width of 40 mm, while the L20's width is not recorded.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark results between the AMD Instinct MI350P and the NVIDIA L20. The headToHeadBenchmarks field is empty, and there are zero wins recorded for either product. This absence of comparative testing data means the analysis must rely on the individual benchmark scores and specification-based performance indicators available in the records.

The NVIDIA L20 has two recorded benchmark scores from Geekbench. Its OpenCL score is 274,276, and its Vulkan score is 228,018. These results produce an average benchmark score of 251,147, which places the L20 in the 99th percentile of all GPUs in the database. The L20's nearest rivals provide context for these scores. It leads the NVIDIA PG506-232, which has an average score of 225,124, by 11.6%. It also outperforms the AMD Radeon PRO W7900D, which has an average score of 219,827, by 14.2%. However, it trails the NVIDIA L40, which scores 284,111, by -11.6%, and the NVIDIA RTX 6000 Ada Generation, which scores 287,237, by -12.6%.

The AMD Instinct MI350P has no benchmark scores recorded in the database. Its avgBenchmarkScore is 0, and it has no nearest rivals listed. Its percentile ranking of 50 indicates that, based on its specification profile, it sits at the median of all GPUs in the database. Without actual test results, the MI350P's performance cannot be directly compared to the L20's measured scores. The only quantitative comparison available is through the specification-based FP32 and FP16 throughput figures, where the L20's 59.35 TFLOPS surpasses the MI350P's 36.04 TFLOPS by 64.8%, and the memory bandwidth figures, where the MI350P's 8.19 TB/s exceeds the L20's 864.0 GB/s by a factor of 9.5.

Where Each One Wins

Based on the recorded data, the NVIDIA L20 wins in categories related to compute throughput, software ecosystem, and validated performance. Its FP32 and FP16 performance of 59.35 TFLOPS is a decisive advantage for general-purpose compute tasks, AI inference, and training workloads that are not strictly memory-bound. The L20's 99th percentile ranking, supported by its average benchmark score of 251,147, indicates proven real-world capability that the MI350P cannot match with its zero recorded benchmarks and 50th percentile placement. The presence of tensor cores and ray tracing cores, along with support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, makes the L20 a more versatile accelerator for diverse workloads, including those that require graphics output through its 4x DisplayPort 1.4a connections. Its lower TDP of 275 W, compared to the MI350P's 600 W, and the correspondingly lower suggested power supply requirement of 600 W versus 1000 W, also give the L20 an operational advantage in terms of power efficiency and system integration flexibility.

The AMD Instinct MI350P wins decisively in memory capacity and bandwidth, which are critical for specific high-performance computing scenarios. Its 144 GB of HBM3e memory provides three times the capacity of the L20's 48 GB, enabling the MI350P to handle datasets and models that simply do not fit within the L20's memory footprint. The 8.19 TB/s bandwidth, achieved through an 8192-bit bus, is 9.5 times higher than the L20's 864.0 GB/s, making the MI350P exceptionally well-suited for workloads that stream large volumes of data, such as large-scale scientific simulations, genomic analysis, or serving massive neural network models. The MI350P's newer PCIe 5.0 x16 interface offers a more modern interconnect compared to the L20's PCIe 4.0 x16, potentially reducing data transfer bottlenecks in systems that support the newer standard. Its higher texture rate of 1,126.4 GTexel/s versus 927.4 GTexel/s also suggests an advantage in texture-heavy compute tasks, though this is less relevant given the MI350P's lack of graphics outputs.

The data indicates that the MI350P's design philosophy prioritizes memory scale and bandwidth over raw compute throughput, targeting a niche of memory-bound workloads. The L20's architecture, with its balanced compute, graphics, and tensor capabilities, positions it as a more general-purpose accelerator with proven performance across a wider range of applications. The MI350P's future release date of 2026-05-06, compared to the L20's 2023-11-15 release and Active production status, further differentiates their market readiness. For users with workloads that require extreme memory resources and are willing to wait for the MI350P's release, the AMD part offers a compelling specification profile. For immediate deployment with validated performance metrics, the NVIDIA L20 is the data-supported choice.