AMD Instinct MI350X vs NVIDIA N1X 40SM Comparison

Where Each One Wins

The recorded data shows a fundamental split between these two accelerators, not a close competition. The AMD Instinct MI350X is positioned as a massive, dedicated compute module for data center workloads, while the NVIDIA N1X 40SM is an integrated graphics processor (IGP) designed for embedded or system-on-chip deployments. With zero head-to-head benchmark entries and no wins recorded for either side, the differentiation rests entirely on architectural and specification-level analysis.

The AMD Instinct MI350X wins in raw compute throughput. Its FP32 performance of 72.09 TFLOPS is three times the NVIDIA N1X 40SM's 24.02 TFLOPS. The texture rate follows the same pattern, with the AMD part delivering 2,252.8 GTexel/s versus 750.7 GTexel/s for the NVIDIA chip. These are not marginal advantages; the AMD accelerator is in a different performance class entirely.

The NVIDIA N1X 40SM wins in efficiency per watt, though the database lacks a TDP figure for the NVIDIA part. Its base clock of 741 MHz and boost clock of 2346 MHz suggest a lower power envelope than the AMD part's 1000 W TDP. The NVIDIA chip also wins in pixel throughput, delivering 93.84 GPixel/s compared to the AMD part's 0 MPixel/s, a direct consequence of the AMD module having no display outputs and no ROPs.

The use-case split is clear: the AMD Instinct MI350X targets batch compute, AI training, and HPC workloads where massive memory bandwidth and FP32 throughput matter. The NVIDIA N1X 40SM targets integrated systems where a single package must handle graphics output, compute, and low-power operation. The AMD part has no display outputs, while the NVIDIA part provides 1x HDMI. This alone determines which system each belongs in.

Architecture Differences

The two chips come from different process nodes, which explains much of the performance gap. The AMD Instinct MI350X uses a 3 nm process from TSMC, while the NVIDIA N1X 40SM uses a 5 nm process from the same foundry. The AMD chip packs 185,000 million transistors onto a 2380 mm² die, yielding a transistor density of 77.7M per mm². The NVIDIA chip has an unknown transistor count but occupies a much smaller 382 mm² die.

The AMD part uses the CDNA 4.0 architecture, specifically the MI350 256CU chip. It has 16,384 shading units, 1,024 TMUs, and no ROPs. The NVIDIA part uses the Blackwell 2.0 architecture with the GB20B chip. It has 5,120 shading units, 320 TMUs, 40 ROPs, 40 RT cores, and 160 tensor cores. The NVIDIA chip includes ray tracing and tensor core hardware, while the AMD part lists no RT cores and no tensor cores in the database.

Memory architecture represents the largest divergence. The AMD Instinct MI350X uses 288 GB of HBM3e on an 8192-bit bus, producing 8.19 TB/s of bandwidth. The NVIDIA N1X 40SM uses 128 GB of LPDDR5X on a 256-bit bus, producing 273.2 GB/s. That is a 30x difference in memory bandwidth, a gap that cannot be overcome by any clock speed advantage. The memory clocks differ as well: the AMD part runs at 2000 MHz with 8 Gbps effective, while the NVIDIA part runs at 1067 MHz with 8.5 Gbps effective.

Both chips use PCIe 5.0 x16 for the bus interface. The AMD part is an OAM Module with a 1000 W TDP and no power connectors, requiring a 1400 W suggested PSU. The NVIDIA part is an IGP with no power connector listed and no suggested PSU. The AMD part measures 102 mm in length and 165 mm in width, while the NVIDIA part has no recorded dimensions.

Head-to-Head Benchmarks

The database contains no head-to-head benchmark results for these two parts. The winsA and winsB fields both read zero, and the headToHeadBenchmarks array is empty. This is not a case of close results; it is a case of no direct measurements being recorded. The analysis must therefore rely on the specification data to establish relative performance.

The FP32 compute comparison is the most direct. The AMD Instinct MI350X delivers 72.09 TFLOPS against 24.02 TFLOPS for the NVIDIA N1X 40SM. That means the AMD part is three times faster in single-precision floating-point work. The FP16 figures are identical to the FP32 figures for both parts, with a 1:1 ratio, so the same threefold advantage holds for half-precision workloads.

Texture throughput shows a similar ratio. The AMD part processes 2,252.8 GTexel/s, while the NVIDIA part manages 750.7 GTexel/s. This is a 3x advantage for the AMD chip. The pixel rate reverses the comparison: the NVIDIA part produces 93.84 GPixel/s, while the AMD part produces 0 MPixel/s because it has no ROPs and no display pipeline.

Memory bandwidth is the most lopsided comparison. The AMD part's 8.19 TB/s dwarfs the NVIDIA part's 273.2 GB/s. For workloads that stream large datasets, such as language model inference or scientific simulation, this bandwidth advantage is the dominant factor. The NVIDIA part's 128 GB capacity is less than half the AMD part's 288 GB, further limiting the size of datasets that can reside on-chip.

Clock speeds tell a different story. The NVIDIA part boosts to 2346 MHz, slightly higher than the AMD part's 2200 MHz boost. The NVIDIA part also has a lower base clock at 741 MHz versus 1000 MHz, suggesting a wider dynamic range. But clock speed alone cannot compensate for the massive differences in shading units, memory width, and die area.

FAQ

Q: Which part has more FP32 compute throughput?

A: The AMD Instinct MI350X delivers 72.09 TFLOPS, exactly three times the NVIDIA N1X 40SM's 24.02 TFLOPS.

Q: What memory types do the two parts use?

A: The AMD Instinct MI350X uses 288 GB of HBM3e on an 8192-bit bus with 8.19 TB/s bandwidth. The NVIDIA N1X 40SM uses 128 GB of LPDDR5X on a 256-bit bus with 273.2 GB/s bandwidth.

Q: Which part can output to a display?

A: The NVIDIA N1X 40SM provides 1x HDMI output. The AMD Instinct MI350X has no display outputs and no ROPs, producing 0 MPixel/s pixel rate.

Q: What is the process node difference?

A: The AMD Instinct MI350X uses a 3 nm process from TSMC, while the NVIDIA N1X 40SM uses a 5 nm process from the same foundry.

Q: Does either part have ray tracing or tensor cores?

A: The NVIDIA N1X 40SM has 40 RT cores and 160 tensor cores. The AMD Instinct MI350X lists no RT cores and no tensor cores in the database.

Q: What is the TDP of each part?

A: The AMD Instinct MI350X has a 1000 W TDP with a 1400 W suggested PSU. The NVIDIA N1X 40SM has an unknown TDP and no suggested PSU recorded.

The Verdict

The data directs each part to a distinct role. The AMD Instinct MI350X is a dedicated accelerator for compute-heavy environments. Its 72.09 TFLOPS FP32, 8.19 TB/s memory bandwidth, and 288 GB capacity position it for large-scale AI training, HPC simulation, and data-intensive batch processing. The absence of display outputs and ROPs confirms it is not meant for any interactive graphics work.

The NVIDIA N1X 40SM serves as an integrated processor for systems that need a balance of compute and display capability. Its 40 ROPs, 40 RT cores, 160 tensor cores, and 1x HDMI output make it suitable for embedded or edge devices that must render graphics and run compute workloads from a single package. Its 128 GB LPDDR5X memory and 273.2 GB/s bandwidth are modest but consistent with an IGP design.

No direct benchmark data exists to compare these two parts, and the specification gap is so large that a direct comparison would be misleading. The AMD part uses a 3 nm process, a 2380 mm² die, and 185,000 million transistors. The NVIDIA part uses a 5 nm process and a 382 mm² die. These are different products for different markets. The AMD Instinct MI350X is built for maximum throughput at the cost of power and space. The NVIDIA N1X 40SM is built for integration and versatility. The recorded data supports no other conclusion.

Specification Differences

The two parts differ in nearly every measurable specification. The process node is 3 nm for AMD versus 5 nm for NVIDIA. The die size is 2380 mm² for AMD versus 382 mm² for NVIDIA. Transistor count is 185,000 million for AMD versus unknown for NVIDIA. Transistor density is 77.7M per mm² for AMD versus null for NVIDIA.

Clock speeds differ: AMD has a 1000 MHz base and 2200 MHz boost, while NVIDIA has a 741 MHz base and 2346 MHz boost. Memory clocks are 2000 MHz with 8 Gbps effective for AMD versus 1067 MHz with 8.5 Gbps effective for NVIDIA.

Memory configuration differs completely: AMD has 288 GB HBM3e on an 8192-bit bus with 8.19 TB/s bandwidth, while NVIDIA has 128 GB LPDDR5X on a 256-bit bus with 273.2 GB/s bandwidth.

Compute resources differ: AMD has 16,384 shading units, 1,024 TMUs, and 0 ROPs, while NVIDIA has 5,120 shading units, 320 TMUs, and 40 ROPs. AMD has no RT cores or tensor cores, while NVIDIA has 40 RT cores and 160 tensor cores.

Throughput figures differ: AMD has 0 MPixel/s pixel rate and 2,252.8 GTexel/s texture rate, while NVIDIA has 93.84 GPixel/s pixel rate and 750.7 GTexel/s texture rate. FP32 and FP16 are both 72.09 TFLOPS for AMD versus 24.02 TFLOPS for NVIDIA, with a 1:1 ratio for both.

Power and form factor differ: AMD has a 1000 W TDP, OAM Module slot width, no power connectors, and a 1400 W suggested PSU, while NVIDIA has an unknown TDP, IGP slot width, no power connectors, and no suggested PSU. AMD measures 102 mm by 165 mm, while NVIDIA has no recorded dimensions.

Other differences include the bus interface (both PCIe 5.0 x16, so no difference), display outputs (none for AMD, 1x HDMI for NVIDIA), API support (N/A for both across DirectX, OpenGL, and Vulkan), and release dates (2025-06-11 for AMD, 2026-05-31 for NVIDIA). The AMD part has a predecessor listed as Radeon Instinct, while the NVIDIA part has no predecessor. Production status is null for AMD and Active for NVIDIA. Neither part has a launch MSRP recorded.