AMD Radeon Instinct MI300 vs NVIDIA N1 16SM Comparison

Head-to-Head Benchmarks

The database records no direct head-to-head benchmark scores for these two accelerators. Both entries show an average benchmark score of zero, and the wins tally is zero for each side. This absence of measured results means the comparison must rest entirely on the documented architectural and specification data rather than on performance deltas. The percentile versus all GPUs is identical for both at 50, which places them at the median of the tracked database population, but this figure carries no competitive weight without actual workload scores.

The raw compute figures, however, tell a lopsided story. The AMD Radeon Instinct MI300 delivers 47.87 TFLOPS of FP32 throughput, while the NVIDIA N1 16SM manages 9.609 TFLOPS. That is a 4.98x advantage for the AMD part in single-precision floating point. In FP16, the gap widens dramatically: the MI300 reaches 383.0 TFLOPS (8:1 ratio), while the N1 16SM provides 9.609 TFLOPS (1:1 ratio). The AMD accelerator holds a 39.86x lead in half-precision compute, a figure that reflects its dedicated matrix math orientation versus the NVIDIA part's balanced 1:1 FP16/FP32 design.

Memory bandwidth follows a similar pattern. The MI300 uses HBM3 across an 8192-bit bus, achieving 6.55 TB/s. The N1 16SM relies on LPDDR5X across a 256-bit bus, producing 273.2 GB/s. The AMD part's bandwidth is 23.97x higher, which directly supports its massive compute throughput. Texture rate also favors AMD: 1,496.0 GTexel/s versus 300.3 GTexel/s, a 4.98x difference that mirrors the FP32 ratio. Pixel rate is inverted, however. The MI300 records 0 MPixel/s because it has no ROPs, while the N1 16SM produces 56.30 GPixel/s from its 24 ROPs. This makes the NVIDIA part the only one of the two capable of rasterization output.

Clock behavior diverges sharply. The MI300 runs at a 1000 MHz base and 1700 MHz boost, while the N1 16SM starts at 741 MHz base but boosts to 2346 MHz. The NVIDIA part's boost clock is 38% higher than the AMD part's boost, which helps it extract more per-shader performance despite far fewer shading units. The MI300 has 14080 shading units, 880 TMUs, and no ROPs. The N1 16SM has 2048 shading units, 128 TMUs, and 24 ROPs. The AMD part's shading unit count is 6.88x higher, and its TMU count is 6.88x higher, but the NVIDIA part brings 16 RT cores and 64 tensor cores to the table, features the MI300 does not list at all.

FAQ

Q: Which GPU has higher FP32 compute?

A: The AMD Radeon Instinct MI300 delivers 47.87 TFLOPS of FP32, which is 4.98x the NVIDIA N1 16SM's 9.609 TFLOPS.

Q: How do the memory subsystems compare?

A: The MI300 uses 128 GB of HBM3 on an 8192-bit bus with 6.55 TB/s bandwidth. The N1 16SM also has 128 GB, but uses LPDDR5X on a 256-bit bus with 273.2 GB/s bandwidth, a 23.97x bandwidth advantage for the AMD part.

Q: Does either GPU support ray tracing or tensor operations?

A: The NVIDIA N1 16SM lists 16 RT cores and 64 tensor cores. The AMD Radeon Instinct MI300 lists no RT cores and no tensor cores in the database, though its FP16 throughput of 383.0 TFLOPS (8:1) implies dedicated matrix hardware.

Q: What are the power requirements?

A: The MI300 has a TDP of 600 W, uses 2x 8-pin power connectors, and requires a suggested 1000 W power supply. The N1 16SM has an unknown TDP, uses no power connectors, and lists no suggested PSU, consistent with its IGP slot width.

Q: Which part has display outputs?

A: The NVIDIA N1 16SM includes 1x HDMI output. The AMD Radeon Instinct MI300 records no display outputs, as it is a compute-only accelerator.

Q: What are the physical dimensions?

A: The MI300 measures 267 mm in length and 111 mm in height. The N1 16SM has no recorded dimensions, and its slot width is listed as IGP, indicating an integrated form factor.

The Verdict

The data points to two fundamentally different products. The AMD Radeon Instinct MI300 is a dedicated data-center compute accelerator built for massive parallel throughput. Its 47.87 TFLOPS FP32, 383.0 TFLOPS FP16, and 6.55 TB/s memory bandwidth place it in a performance class the NVIDIA N1 16SM cannot approach on raw compute metrics. The N1 16SM, by contrast, is an integrated graphics processor with 2048 shading units, 16 RT cores, 64 tensor cores, and 24 ROPs, making it a general-purpose part with display capability.

A user selecting between these two would choose the MI300 for any workload dominated by dense matrix math or high-bandwidth memory access, where its 4.98x FP32 lead and 23.97x bandwidth lead are decisive. The N1 16SM would be the pick for systems requiring rasterization output, ray tracing, or tensor acceleration in a compact IGP form factor, as the MI300 cannot output pixels at all. The MI300's 600 W TDP and 1000 W suggested PSU indicate a server-class installation, while the N1 16SM's lack of power connectors and IGP slot width point to an embedded or laptop-style integration. Neither part has a recorded launch MSRP, and both sit at the 50th percentile in the database with no benchmark scores, so the verdict rests on specification analysis rather than measured results.

Specification Differences

The two accelerators differ across nearly every tracked specification. Process node and foundry are identical: both use 5 nm from TSMC. Transistor count differs, with the MI300 at 153,000 million and the N1 16SM listed as unknown. Die size is 1017 mm² for the MI300 versus 382 mm² for the N1 16SM, a 2.66x difference in silicon area. The MI300 has a transistor density of 150.4M per mm², while the N1 16SM has no recorded density.

Clock speeds diverge: the MI300 runs at 1000 MHz base and 1700 MHz boost, while the N1 16SM runs at 741 MHz base and 2346 MHz boost. Memory configuration differs completely: the MI300 uses HBM3 with 8192-bit bus and 6.55 TB/s bandwidth, while the N1 16SM uses LPDDR5X with 256-bit bus and 273.2 GB/s bandwidth. Both have 128 GB capacity, but the memory clock is 1600 MHz (6.4 Gbps effective) for the MI300 versus 1067 MHz (8.5 Gbps effective) for the N1 16SM.

Compute units differ in count and type. The MI300 has 14080 shading units, 880 TMUs, and 0 ROPs. The N1 16SM has 2048 shading units, 128 TMUs, and 24 ROPs. The MI300 lists no RT cores or tensor cores, while the N1 16SM includes 16 RT cores and 64 tensor cores. Pixel rate is 0 MPixel/s for the MI300 and 56.30 GPixel/s for the N1 16SM. Texture rate is 1,496.0 GTexel/s versus 300.3 GTexel/s.

Power and connectivity differ: the MI300 has a 600 W TDP, 2x 8-pin connectors, and a suggested 1000 W PSU, while the N1 16SM has unknown TDP, no connectors, and no suggested PSU. The MI300 uses a PCIe 5.0 x16 bus and has no display outputs; the N1 16SM also uses PCIe 5.0 x16 but includes 1x HDMI. The MI300 measures 267 mm by 111 mm, while the N1 16SM has no dimensions and an IGP slot width. Release dates are 2023-01-03 for the MI300 and 2026-05-31 for the N1 16SM. The MI300's predecessor is FirePro Data Center, while the N1 16SM has no predecessor recorded.

Architecture Differences

The architectural split is clear from the recorded data. The AMD Radeon Instinct MI300 uses the CDNA 3.0 architecture on the Aqua Vanjaram chip, part of the Radeon Instinct (MIx) generation. The NVIDIA N1 16SM uses the Blackwell 2.0 architecture on the GB20B chip, part of the Blackwell IGP (N1x) generation. Both are fabricated on 5 nm TSMC process nodes, but the design philosophies diverge from there.

The MI300's CDNA 3.0 design prioritizes compute density. Its 153,000 million transistors on a 1017 mm² die yield a 150.4M per mm² density, and the 14080 shading units with 880 TMUs feed a 47.87 TFLOPS FP32 pipeline. The absence of ROPs and display outputs confirms this is a pure compute accelerator, not a graphics card. Its FP16 rate of 383.0 TFLOPS at an 8:1 ratio indicates a dedicated matrix math path, typical of data-center accelerators optimized for AI training and inference workloads.

The NVIDIA N1 16SM's Blackwell 2.0 architecture takes a different route. With 2048 shading units, 128 TMUs, and 24 ROPs, it retains full rasterization capability. The inclusion of 16 RT cores and 64 tensor cores adds dedicated ray tracing and tensor processing hardware. Its FP16 rate matches FP32 at 9.609 TFLOPS (1:1), meaning it does not specialize in half-precision throughput. The LPDDR5X memory with 273.2 GB/s bandwidth and a 256-bit bus points to a power-efficient integrated design, consistent with its IGP slot width and lack of power connectors. The N1 16SM's production status is Active, while the MI300 has no recorded production status.

The memory technology alone separates these architectures functionally. HBM3 on an 8192-bit bus provides the MI300 with 6.55 TB/s, a bandwidth that enables its 47.87 TFLOPS FP32 and 383.0 TFLOPS FP16 rates to remain feed-bound rather than memory-bound. LPDDR5X on a 256-bit bus gives the N1 16SM 273.2 GB/s, which suits its 9.609 TFLOPS compute ceiling. The MI300's 600 W TDP reflects the power draw of a massive die and HBM stacks, while the N1 16SM's unknown TDP and connector-free design suggest a much lower power envelope suitable for integration.

Where Each One Wins

The AMD Radeon Instinct MI300 wins decisively in compute-intensive scenarios. Its 47.87 TFLOPS FP32 and 383.0 TFLOPS FP16 dominate any workload that stresses raw arithmetic throughput. The 6.55 TB/s memory bandwidth supports large data sets and high-concurrency access patterns. The 1,496.0 GTexel/s texture rate also gives it an edge in texture-heavy compute pipelines, though the 0 MPixel/s pixel rate means it cannot produce rendered frames. This part wins in dense matrix multiplication, high-bandwidth data processing, and any server workload that can use its 128 GB HBM3 pool.

The NVIDIA N1 16SM wins in graphics and integrated scenarios. Its 56.30 GPixel/s pixel rate, enabled by 24 ROPs, allows actual rasterization output. The 16 RT cores provide ray tracing capability, and the 64 tensor cores handle tensor operations, features the MI300 does not list. The 1x HDMI output makes it usable as a display adapter, something the MI300 cannot do. Its 2346 MHz boost clock, 38% higher than the MI300's 1700 MHz boost, helps it extract per-shader performance from its smaller 2048-unit array. The IGP slot width and connector-free power design make it suitable for compact or integrated systems where a 600 W, 267 mm accelerator cannot fit.

The FP16 comparison highlights the specialization gap. The MI300's 383.0 TFLOPS at an 8:1 ratio is optimized for half-precision AI workloads. The N1 16SM's 9.609 TFLOPS at a 1:1 ratio means it treats FP16 and FP32 as equal citizens, a design choice for general-purpose graphics where precision parity matters. The MI300's 4.98x FP32 lead and 23.97x bandwidth lead make it the clear choice for data-center compute. The N1 16SM's 16 RT cores, 64 tensor cores, display output, and 56.30 GPixel/s pixel rate make it the only option among the two for any task requiring visible output or ray-traced rendering.