AMD Instinct MI350X vs NVIDIA N1 16SM Comparison
AMD Instinct MI350X
N1 16SM
Analysis: AMD Instinct MI350X vs NVIDIA N1 16SM
FAQ
Q: What are the core architectural identities of the AMD Instinct MI350X and the NVIDIA N1 16SM?
A: The AMD Instinct MI350X uses the CDNA 4.0 architecture with the MI350 256CU chip, built on a 3 nm process at TSMC. The NVIDIA N1 16SM uses the Blackwell 2.0 architecture with the GB20B chip, built on a 5 nm process at TSMC.
Q: How do the memory subsystems compare between these two parts?
A: The AMD Instinct MI350X features 288 GB of HBM3e memory on a 8192-bit bus, delivering 8.19 TB/s of bandwidth. The NVIDIA N1 16SM features 128 GB of LPDDR5X memory on a 256-bit bus, delivering 273.2 GB/s of bandwidth.
Q: What are the raw compute throughput figures for each GPU?
A: The AMD Instinct MI350X delivers 72.09 TFLOPS for both FP32 and FP16 (1:1 ratio). The NVIDIA N1 16SM delivers 9.609 TFLOPS for both FP32 and FP16 (1:1 ratio).
Q: Which GPU has more shading units and texture mapping units?
A: The AMD Instinct MI350X has 16,384 shading units and 1,024 TMUs. The NVIDIA N1 16SM has 2,048 shading units and 128 TMUs.
Q: What is the physical form factor of each device?
A: The AMD Instinct MI350X is an OAM Module with dimensions of 102 mm length and 165 mm width. The NVIDIA N1 16SM is an IGP with no recorded dimensions.
Q: Do either of these GPUs support graphics APIs like DirectX, OpenGL, or Vulkan?
A: Neither GPU supports these APIs. The database records DirectX, OpenGL, and Vulkan as N/A for both the AMD Instinct MI350X and the NVIDIA N1 16SM.
Where Each One Wins
The AMD Instinct MI350X wins decisively in raw compute throughput. Its FP32 performance of 72.09 TFLOPS is approximately 7.5 times higher than the NVIDIA N1 16SM's 9.609 TFLOPS. Texture processing also heavily favors AMD, with the MI350X delivering 2,252.8 GTexel/s versus 300.3 GTexel/s for the NVIDIA part, a margin of roughly 7.5 times. Memory bandwidth is another dominant win for AMD, with 8.19 TB/s compared to 273.2 GB/s for NVIDIA, a factor of about 30 times.
The NVIDIA N1 16SM wins in areas related to graphics output and rasterization. It has 24 ROPs, whereas the AMD Instinct MI350X has 0 ROPs and a pixel rate of 0 MPixel/s. The NVIDIA part delivers 56.30 GPixel/s. It also includes 16 ray tracing cores and 64 tensor cores, while the AMD part has no recorded RT cores or tensor cores. The NVIDIA N1 16SM includes 1x HDMI display output, while the AMD part has no display outputs.
Clock speed behavior favors NVIDIA in boost terms. The NVIDIA N1 16SM boosts to 2346 MHz, which is higher than the AMD Instinct MI350X's boost of 2200 MHz. However, the base clock of the AMD part is 1000 MHz versus 741 MHz for NVIDIA. The NVIDIA part also has a higher effective memory clock at 8.5 Gbps versus 8 Gbps for AMD, though the bus width difference completely overshadows this in bandwidth terms.
The NVIDIA N1 16SM has a smaller die size at 382 mm² compared to 2380 mm² for AMD. The AMD part carries 185,000 million transistors on its larger die, while NVIDIA's transistor count is recorded as unknown. The AMD part achieves a transistor density of 77.7M per mm².
Architecture Differences
The AMD Instinct MI350X is built on CDNA 4.0, a compute-focused architecture designed for data center workloads. Its chip, the MI350 256CU, uses a 3 nm process at TSMC. The NVIDIA N1 16SM uses Blackwell 2.0, a generation labeled as Blackwell IGP (N1x), built on a 5 nm process at TSMC. The process node difference gives AMD a manufacturing advantage in transistor density, with 77.7M transistors per mm² versus no recorded density for NVIDIA.
The die size difference is substantial. AMD's MI350 256CU occupies 2380 mm², one of the largest dies in the database. NVIDIA's GB20B occupies 382 mm², a much smaller design. AMD packs 185,000 million transistors onto its die, while NVIDIA's transistor count is unknown.
Compute resource allocation differs sharply. AMD dedicates 16,384 shading units and 1,024 TMUs to raw throughput. NVIDIA allocates 2,048 shading units and 128 TMUs. NVIDIA adds 24 ROPs, 16 RT cores, and 64 tensor cores, none of which are present on the AMD part. The AMD part has 0 ROPs and a pixel rate of 0 MPixel/s, confirming its lack of graphics output capability.
Memory architecture represents a fundamental design split. AMD uses HBM3e with a 8192-bit bus, achieving 8.19 TB/s bandwidth. NVIDIA uses LPDDR5X with a 256-bit bus, achieving 273.2 GB/s. The memory size also differs: 288 GB for AMD versus 128 GB for NVIDIA.
Power delivery and cooling differ. The AMD Instinct MI350X has a TDP of 1000 W and requires a suggested PSU of 1400 W. It uses no power connectors, relying on the OAM Module slot. The NVIDIA N1 16SM has an unknown TDP and no suggested PSU, using the IGP slot with no power connectors. Both use PCIe 5.0 x16 as the bus interface.
Specification Differences
The AMD Instinct MI350X and NVIDIA N1 16SM differ across nearly every recorded specification.
Process node: AMD uses 3 nm, NVIDIA uses 5 nm.
Transistors: AMD has 185,000 million, NVIDIA is unknown.
Die size: AMD is 2380 mm², NVIDIA is 382 mm².
Transistor density: AMD is 77.7M per mm², NVIDIA is null.
Base clock: AMD is 1000 MHz, NVIDIA is 741 MHz.
Boost clock: AMD is 2200 MHz, NVIDIA is 2346 MHz.
Memory clock: AMD is 2000 MHz (8 Gbps effective), NVIDIA is 1067 MHz (8.5 Gbps effective).
Memory size: AMD is 288 GB, NVIDIA is 128 GB.
Memory type: AMD is HBM3e, NVIDIA is LPDDR5X.
Memory bus width: AMD is 8192 bit, NVIDIA is 256 bit.
Memory bandwidth: AMD is 8.19 TB/s, NVIDIA is 273.2 GB/s.
Shading units: AMD is 16,384, NVIDIA is 2,048.
TMUs: AMD is 1,024, NVIDIA is 128.
ROPs: AMD is 0, NVIDIA is 24.
RT cores: AMD is null, NVIDIA is 16.
Tensor cores: AMD is null, NVIDIA is 64.
Pixel rate: AMD is 0 MPixel/s, NVIDIA is 56.30 GPixel/s.
Texture rate: AMD is 2,252.8 GTexel/s, NVIDIA is 300.3 GTexel/s.
FP32: AMD is 72.09 TFLOPS, NVIDIA is 9.609 TFLOPS.
FP16: AMD is 72.09 TFLOPS (1:1), NVIDIA is 9.609 TFLOPS (1:1).
TDP: AMD is 1000 W, NVIDIA is unknown.
Slot width: AMD is OAM Module, NVIDIA is IGP.
Suggested PSU: AMD is 1400 W, NVIDIA is null.
Display outputs: AMD has no outputs, NVIDIA has 1x HDMI.
Dimensions: AMD is 102 mm length, 165 mm width; NVIDIA has no recorded dimensions.
Release date: AMD is 2025-06-11, NVIDIA is 2026-05-31.
Production status: AMD is null, NVIDIA is Active.
Head-to-Head Benchmarks
The recorded data shows no head-to-head benchmark entries between the AMD Instinct MI350X and the NVIDIA N1 16SM. The headToHeadBenchmarks array is empty, and winsA and winsB are both 0. Each GPU also has an empty benchmarks array and an average benchmark score of 0. The percentileVsAllGpus field shows both at 50, placing them at the median of the database distribution, though this reflects the absence of recorded benchmark runs rather than actual performance parity.
The specification data, however, provides clear comparative signals. The AMD Instinct MI350X leads in FP32 compute by a factor of approximately 7.5, with 72.09 TFLOPS versus 9.609 TFLOPS. This gap directly reflects the difference in shading units: 16,384 versus 2,048, an 8-to-1 ratio. The FP16 figures mirror FP32 exactly for both parts, as each implements 1:1 FP16 to FP32 throughput.
Texture rate shows a similar margin. AMD records 2,252.8 GTexel/s against NVIDIA's 300.3 GTexel/s, again roughly 7.5 times higher. This aligns with the TMU count difference of 1,024 versus 128.
Memory bandwidth is where the largest discrepancy appears. AMD's 8.19 TB/s exceeds NVIDIA's 273.2 GB/s by a factor of approximately 30. The bus width difference drives this: 8192 bit versus 256 bit, a 32-to-1 ratio. The memory type difference, HBM3e versus LPDDR5X, also contributes, as does the effective clock, though NVIDIA's 8.5 Gbps effective memory clock is slightly higher than AMD's 8 Gbps.
The NVIDIA N1 16SM wins in pixel processing. AMD records 0 MPixel/s with 0 ROPs, while NVIDIA delivers 56.30 GPixel/s with 24 ROPs. This confirms AMD's part is not designed for rasterization workloads. NVIDIA also includes 16 RT cores and 64 tensor cores, features entirely absent from AMD's specification sheet.
Clock behavior presents a mixed picture. NVIDIA has the higher boost clock at 2346 MHz versus 2200 MHz for AMD. AMD has the higher base clock at 1000 MHz versus 741 MHz. The boost delta is about 6.6% in NVIDIA's favor, while the base clock delta is about 35% in AMD's favor.
Release timing differs by nearly a year. AMD's release date is 2025-06-11, while NVIDIA's is 2026-05-31. The NVIDIA part is marked as Active in production status, while AMD's production status is not recorded.
The Verdict
The AMD Instinct MI350X is the compute-focused accelerator. Its 72.09 TFLOPS FP32 throughput, 8.19 TB/s memory bandwidth, and 288 GB HBM3e capacity position it for data center compute workloads where raw numerical throughput and memory access dominate. The absence of ROPs, RT cores, tensor cores, and display outputs confirms this part is built exclusively for computation, not graphics rendering. The 1000 W TDP and 1400 W suggested PSU indicate a system-level commitment to power delivery.
The NVIDIA N1 16SM is the graphics-capable integrated processor. Its 24 ROPs, 16 RT cores, 64 tensor cores, and 1x HDMI output give it functionality the AMD part lacks entirely. Its 56.30 GPixel/s pixel rate and 9.609 TFLOPS FP32 performance are modest by comparison, but the feature set covers a broader range of tasks. The smaller 382 mm² die and LPDDR5X memory point to a lower-power, more integrated design, though its TDP is not recorded.
The data indicates no benchmark overlap between these two parts. Their specification sheets describe different product categories. AMD offers a massive compute array with no graphics pipeline. NVIDIA offers a compact IGP with graphics output and acceleration features. The choice depends entirely on workload type: pure compute acceleration favors AMD, while any graphics or rasterization requirement eliminates the AMD part outright.
The database records no benchmark scores for either GPU, so performance conclusions rest on specification analysis. The FP32 and texture rate margins are consistent, both showing AMD at roughly 7.5 times NVIDIA's figures. The memory bandwidth margin is far larger at approximately 30 times. These are structural advantages, not clock-dependent variations, so they are likely to persist across workloads that scale with these resources.
For users requiring display output, ray tracing, or tensor acceleration, the NVIDIA N1 16SM is the only viable option between these two. For users requiring maximum FP32 or FP16 throughput and massive memory bandwidth, the AMD Instinct MI350X delivers over seven times the compute and thirty times the bandwidth. The AMD part also offers 288 GB of memory versus 128 GB, a 2.25 times capacity advantage.
Both parts use PCIe 5.0 x16, so host interface compatibility is equal. Neither supports DirectX, OpenGL, or Vulkan, so graphics API workloads are not applicable to either. The AMD part releases in 2025, while the NVIDIA part releases in 2026, and NVIDIA is the only one with an Active production status.
The verdict is workload-dependent rather than performance-dependent. The AMD Instinct MI350X dominates in every raw compute metric recorded. The NVIDIA N1 16SM dominates in every graphics-specific metric recorded. No single part wins across all categories, and the specification gaps are too wide to be bridged by architectural efficiency alone. The AMD part uses a 3 nm process against NVIDIA's 5 nm, but the AMD die is over six times larger, and the power envelope is correspondingly higher. The NVIDIA part is smaller, lighter on power, and carries graphics features, but it cannot approach AMD's compute density.