AMD Radeon Instinct MI300X vs NVIDIA N1 16SM Comparison

Head-to-Head Benchmarks

The recorded data shows no direct head-to-head benchmark results between the AMD Radeon Instinct MI300X and the NVIDIA N1 16SM. Both products have empty benchmark arrays, zero average benchmark scores, and identical percentile rankings at 50.0 among all GPUs in the database. This absence of measured performance data is itself informative: it means any comparison must rely entirely on the architectural and specification differences that are recorded.

The FP32 compute figures provide the clearest numerical contrast. The MI300X delivers 81.72 TFLOPS of FP32 throughput, while the N1 16SM produces 9.609 TFLOPS. This puts the AMD part at roughly 8.5 times the raw FP32 output of the NVIDIA part, a substantial gap that reflects the former's role as a data center accelerator. The texture rate tells a similar story: the MI300X reaches 2,553.6 GTexel/s versus 300.3 GTexel/s for the N1 16SM, a difference of about 8.5x in fill-rate capability.

The FP16 comparison is more nuanced. The MI300X lists 653.7 TFLOPS with an 8:1 ratio, meaning that figure is achieved through specialized hardware that trades throughput for precision. The N1 16SM lists 9.609 TFLOPS at a 1:1 ratio, indicating its FP16 and FP32 pipelines are symmetric. In practical terms, the MI300X's FP16 advantage is enormous, but the efficiency profile differs: the AMD part uses a compressed or accelerated path, while the NVIDIA part treats FP16 as a first-class format with identical throughput to FP32.

Memory bandwidth is another decisive separator. The MI300X offers 10.3 TB/s of bandwidth across a 8192-bit bus, while the N1 16SM provides 273.2 GB/s over a 256-bit bus. That is a 37.7x difference in memory throughput, which dwarfs the compute gap. For workloads that are memory-bound, such as large matrix operations or data movement in deep learning training, this bandwidth disparity will dominate any other consideration.

Pixel rate is the one metric where the N1 16SM shows an advantage: 56.30 GPixel/s versus 0 MPixel/s for the MI300X. The AMD part has no ROPs recorded, and its pixel rate is listed as zero, which is consistent with its "No outputs" display configuration. The NVIDIA part has 24 ROPs and a single HDMI output, making it the only one of the two that can drive a display.

The Verdict

The data points to two fundamentally different product categories. The AMD Radeon Instinct MI300X is a data center accelerator with no display outputs, no ROPs, and a 750 W TDP, designed for compute-heavy server workloads. The NVIDIA N1 16SM is an integrated graphics processor (IGP) with display capability, 16 ray tracing cores, and 64 tensor cores, aimed at a system-on-chip role where graphics output and AI acceleration coexist.

For compute density, the MI300X is the clear choice. Its FP32 output of 81.72 TFLOPS, FP16 output of 653.7 TFLOPS (8:1), and 10.3 TB/s memory bandwidth place it in a performance tier that the N1 16SM cannot approach. The 192 GB of HBM3 memory versus 128 GB of LPDDR5X also favors the AMD part for large model residency.

For integrated graphics and display workloads, the N1 16SM is the only viable option. The MI300X has no display outputs and a zero pixel rate, so it cannot render to a screen. The N1 16SM's 56.30 GPixel/s pixel rate, 24 ROPs, and HDMI output confirm its role as a graphics-capable processor.

The production status differs as well: the N1 16SM is listed as "Active", while the MI300X has no recorded production status. Neither product has a recorded launch MSRP, so no pricing analysis is possible from the database.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The AMD Radeon Instinct MI300X delivers 81.72 TFLOPS of FP32, compared to 9.609 TFLOPS for the NVIDIA N1 16SM. That is approximately 8.5 times higher.

Q: Can the AMD MI300X output video to a display?

A: No. The MI300X has "No outputs" listed under display outputs, a pixel rate of 0 MPixel/s, and no ROPs. The NVIDIA N1 16SM has 1x HDMI output and a pixel rate of 56.30 GPixel/s.

Q: How do the memory subsystems compare?

A: The MI300X uses 192 GB of HBM3 with a 8192-bit bus and 10.3 TB/s bandwidth. The N1 16SM uses 128 GB of LPDDR5X with a 256-bit bus and 273.2 GB/s bandwidth. The bandwidth difference is roughly 37.7x in favor of the AMD part.

Q: What is the transistor count for each chip?

A: The MI300X has 153,000 million transistors on a 1017 mm² die. The N1 16SM's transistor count is recorded as "unknown", and its die size is 382 mm².

Q: Which GPU supports ray tracing?

A: The NVIDIA N1 16SM has 16 ray tracing cores. The AMD MI300X has no ray tracing cores listed in the database.

Q: What are the boost clock speeds?

A: The MI300X boosts to 2100 MHz, while the N1 16SM boosts to 2346 MHz. The base clocks are 1000 MHz and 741 MHz, respectively.

Specification Differences

• Chip: AMD "Aqua Vanjaram" versus NVIDIA "GB20B"
• Architecture: CDNA 3.0 versus Blackwell 2.0
• Generation: Radeon Instinct (MIx) versus Blackwell IGP (N1x)
• Transistors: 153,000 million versus "unknown"
• Die Size: 1017 mm² versus 382 mm²
• Transistor Density: 150.4M / mm² versus not recorded
• Base Clock: 1000 MHz versus 741 MHz
• Boost Clock: 2100 MHz versus 2346 MHz
• Memory Clock: 2525 MHz (10.1 Gbps effective) versus 1067 MHz (8.5 Gbps effective)
• Memory Size: 192 GB versus 128 GB
• Memory Type: HBM3 versus LPDDR5X
• Memory Bus Width: 8192 bit versus 256 bit
• Memory Bandwidth: 10.3 TB/s versus 273.2 GB/s
• Shading Units: 19456 versus 2048
• TMUs: 1216 versus 128
• ROPs: 0 versus 24
• Ray Tracing Cores: Not listed versus 16
• Tensor Cores: Not listed versus 64
• Pixel Rate: 0 MPixel/s versus 56.30 GPixel/s
• Texture Rate: 2,553.6 GTexel/s versus 300.3 GTexel/s
• FP32: 81.72 TFLOPS versus 9.609 TFLOPS
• FP16: 653.7 TFLOPS (8:1) versus 9.609 TFLOPS (1:1)
• TDP: 750 W versus "unknown"
• Slot Width: OAM Module versus IGP
• Display Outputs: No outputs versus 1x HDMI
• APIs: All null for the MI300X; DirectX, OpenGL, Vulkan all "N/A" for the N1 16SM
• Production Status: Not recorded versus "Active"
• Release Date: 2023-12-05 versus 2026-05-31
• Predecessor: "FirePro Data Center" versus not recorded

Architecture Differences

The two chips come from different design philosophies. The MI300X uses AMD's CDNA 3.0 architecture, a compute-focused design with no graphics output path. It has 19,456 shading units and 1,216 texture mapping units, but zero ROPs, which means the chip cannot perform the final pixel write stage required for display output. Its 153,000 million transistors are packed into a 1017 mm² die, the largest in this comparison, built on a 5 nm TSMC process.

The N1 16SM uses NVIDIA's Blackwell 2.0 architecture, which integrates graphics and compute on a 382 mm² die. It has 2,048 shading units, 128 TMUs, and 24 ROPs, along with 16 ray tracing cores and 64 tensor cores. The presence of these specialized units indicates the N1 16SM is designed for real-time graphics rendering and AI inference tasks, not just raw compute. Its process node is also 5 nm TSMC, but the transistor count is not recorded.

The memory architectures reflect the different workloads. The MI300X uses HBM3 with a massive 8192-bit interface, which is typical for high-bandwidth data center accelerators that need to feed thousands of compute units. The N1 16SM uses LPDDR5X with a 256-bit interface, a configuration suited for integrated processors where power and physical footprint matter more than peak bandwidth.

Clock behavior is also notable. The N1 16SM has a higher boost clock (2346 MHz versus 2100 MHz) and a lower base clock (741 MHz versus 1000 MHz), suggesting a wider dynamic range for power management. The MI300X's narrower clock range and much higher TDP (750 W versus unknown) indicate it runs at sustained high power, while the N1 16SM likely scales down aggressively when idle.

Where Each One Wins

The MI300X wins decisively in raw compute and memory bandwidth. Its FP32 throughput of 81.72 TFLOPS and FP16 throughput of 653.7 TFLOPS (8:1) position it for large-scale matrix operations, scientific simulations, and machine learning training. The 10.3 TB/s bandwidth and 192 GB capacity allow it to hold and process datasets that would exhaust the N1 16SM's 128 GB pool. The texture rate of 2,553.6 GTexel/s also supports high-throughput texture sampling, though without ROPs, this is not for display rendering.

The N1 16SM wins in graphics enablement and integrated functionality. Its 56.30 GPixel/s pixel rate, 24 ROPs, and HDMI output make it the only option that can drive a monitor. The 16 ray tracing cores and 64 tensor cores add capabilities the MI300X does not list at all. Its 9.609 TFLOPS FP32 and FP16 (1:1) performance is modest in absolute terms, but it comes without the massive power and cooling requirements implied by the MI300X's 750 W TDP and OAM module form factor.

The production status also favors the N1 16SM, which is listed as "Active" while the MI300X has no recorded status. The release dates show the N1 16SM is scheduled for a later introduction (2026-05-31) compared to the MI300X (2023-12-05), suggesting the NVIDIA part is a newer design. For users who need display output, ray tracing, or integrated graphics in a system-on-chip form factor, the N1 16SM is the only choice. For users who need maximum compute density and memory bandwidth in a server accelerator, the MI300X is the only choice. The two products do not compete on any overlapping use case.