NVIDIA H100 CNX vs NVIDIA N1X 48SM Comparison

Head-to-Head Benchmarks

The recorded data shows no direct head-to-head benchmark results for the NVIDIA H100 CNX against the NVIDIA N1X 48SM. Both parts register zero benchmark scores, zero average scores, and no nearest rival entries. The absence of measured comparisons means the analysis must rely entirely on the specification deltas and architectural characteristics captured in the database.

The H100 CNX posts a peak FP32 throughput of 53.84 TFLOPS, while the N1X 48SM delivers 28.83 TFLOPS. That is a 46.4% advantage for the H100 CNX in single-precision compute. The margin is substantial, and it places the H100 CNX clearly ahead in any workload that scales with raw shader throughput. The N1X 48SM counters in FP16 compute, where it achieves 28.83 TFLOPS at a 1:1 ratio, meaning its FP16 rate is identical to its FP32 rate. The H100 CNX reaches 215.4 TFLOPS FP16, but that figure is achieved at a 4:1 ratio, a mode that implies reduced precision per operation. For workloads requiring true FP16 throughput without the 4:1 penalty, the N1X 48SM holds a structural advantage.

Memory bandwidth is another decisive split. The H100 CNX uses 80 GB of HBM2e across a 5120-bit bus, producing 2.04 TB/s of bandwidth. The N1X 48SM uses 128 GB of LPDDR5X on a 256-bit bus, yielding 273.2 GB/s. The H100 CNX delivers 7.5 times the memory bandwidth of the N1X 48SM. That difference dominates any memory-bound task, including large model inference, data-parallel processing, and high-resolution rendering. The N1X 48SM counters with 48 GB more capacity, which matters for holding larger datasets on-chip, but the bandwidth gap is so large that the H100 CNX is the clear choice for streaming workloads.

Pixel throughput favors the N1X 48SM. The N1X 48SM reaches 112.6 GPixel/s, while the H100 CNX manages 44.28 GPixel/s. That is a 60.7% advantage for the N1X 48SM in rasterization output. Texture rate is closer: the N1X 48SM posts 900.9 GTexel/s against the H100 CNX's 841.3 GTexel/s, a 6.6% lead for the N1X 48SM. These two metrics indicate that the N1X 48SM is more balanced for graphics-oriented tasks, while the H100 CNX is optimized for compute density rather than display output.

Clock speeds also differ. The N1X 48SM has a base clock of 741 MHz and a boost clock of 2346 MHz. The H100 CNX has a base clock of 690 MHz and a boost of 1845 MHz. The N1X 48SM boosts 27.2% higher, which explains its competitive pixel and texture rates despite having fewer shading units. The H100 CNX compensates with 14592 shading units against 6144 for the N1X 48SM, a 2.37x count advantage.

Where Each One Wins

The H100 CNX wins decisively in compute-heavy, bandwidth-starved workloads. Its 53.84 TFLOPS FP32 and 215.4 TFLOPS FP16 (4:1) place it in a different performance class for dense linear algebra, neural network training, and scientific simulation. The 2.04 TB/s memory bandwidth supports large matrix operations and high-throughput data movement without stalling the compute units. The 456 tensor cores on the H100 CNX, versus 192 on the N1X 48SM, reinforce its position for AI acceleration, even though no direct tensor benchmark scores exist in the database.

The N1X 48SM wins in graphics-oriented and capacity-focused scenarios. Its 112.6 GPixel/s pixel rate and 900.9 GTexel/s texture rate outpace the H100 CNX in those specific metrics. The 48 ray tracing cores give it dedicated RT hardware, while the H100 CNX lists no RT core count at all. The 128 GB memory capacity is 60% larger than the H100 CNX's 80 GB, which benefits workloads that need to cache large models or datasets without constant refetching. The N1X 48SM also has a display output (1x HDMI), whereas the H100 CNX has no display outputs, making the N1X 48SM the only one of the two that can drive a monitor directly.

For FP16 workloads at full precision, the N1X 48SM's 1:1 ratio is a structural advantage. The H100 CNX only reaches its high FP16 number through a 4:1 mode, which is a lossy or reduced-throughput path. The N1X 48SM's 28.83 TFLOPS FP16 is consistent with its FP32 rate, so applications that require true FP16 accumulation without the 4:1 shortcut will see more predictable performance from the N1X 48SM.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The NVIDIA H100 CNX delivers 53.84 TFLOPS FP32, which is 46.4% higher than the NVIDIA N1X 48SM's 28.83 TFLOPS.

Q: How does memory bandwidth compare between the two?

A: The H100 CNX has 2.04 TB/s of HBM2e bandwidth across a 5120-bit bus. The N1X 48SM has 273.2 GB/s of LPDDR5X bandwidth on a 256-bit bus. The H100 CNX provides about 7.5 times the bandwidth.

Q: Does either GPU support ray tracing?

A: The N1X 48SM lists 48 ray tracing cores. The H100 CNX has no RT core count recorded in the database.

Q: Which GPU has more memory capacity?

A: The N1X 48SM has 128 GB of LPDDR5X memory. The H100 CNX has 80 GB of HBM2e memory. The N1X 48SM holds 60% more memory.

Q: What are the clock speed differences?

A: The N1X 48SM has a base clock of 741 MHz and a boost clock of 2346 MHz. The H100 CNX has a base clock of 690 MHz and a boost clock of 1845 MHz. The N1X 48SM's boost clock is 27.2% higher.

Q: Which GPU can output to a display?

A: The N1X 48SM has one HDMI output. The H100 CNX has no display outputs.

Specification Differences

| Specification | NVIDIA H100 CNX | NVIDIA N1X 48SM |

|---------------|----------------|-----------------|

| Chip | GH100 | GB20B |

| Architecture | Hopper | Blackwell 2.0 |

| Generation | Server Hopper (Hxx) | Blackwell IGP (N1x) |

| Process Node | 5 nm | 5 nm |

| Foundry | TSMC | TSMC |

| Die Size | 814 mm² | 382 mm² |

| Transistors | 80,000 million | unknown |

| Transistor Density | 98.3M / mm² | null |

| Base Clock | 690 MHz | 741 MHz |

| Boost Clock | 1845 MHz | 2346 MHz |

| Memory Size | 80 GB | 128 GB |

| Memory Type | HBM2e | LPDDR5X |

| Memory Bus Width | 5120 bit | 256 bit |

| Memory Bandwidth | 2.04 TB/s | 273.2 GB/s |

| Memory Clock | 1593 MHz (3.2 Gbps effective) | 1067 MHz (8.5 Gbps effective) |

| Shading Units | 14592 | 6144 |

| TMUs | 456 | 384 |

| ROPs | 24 | 48 |

| RT Cores | null | 48 |

| Tensor Cores | 456 | 192 |

| Pixel Rate | 44.28 GPixel/s | 112.6 GPixel/s |

| Texture Rate | 841.3 GTexel/s | 900.9 GTexel/s |

| FP32 | 53.84 TFLOPS | 28.83 TFLOPS |

| FP16 | 215.4 TFLOPS (4:1) | 28.83 TFLOPS (1:1) |

| TDP | 350 W | unknown |

| Slot Width | Dual-slot | IGP |

| Power Connectors | 8-pin EPS | None |

| Suggested PSU | 750 W | null |

| Bus Interface | PCIe 5.0 x16 | PCIe 5.0 x16 |

| Display Outputs | No outputs | 1x HDMI |

| DirectX | null | N/A |

| OpenGL | null | N/A |

| Vulkan | null | N/A |

| Length | 267 mm (10.5 inches) | null |

| Height | 111 mm (4.4 inches) | null |

| Release Date | 2023-03-20 | 2026-05-31 |

| Production Status | Active | Active |

Architecture Differences

The H100 CNX is built on the Hopper architecture with the GH100 chip, while the N1X 48SM uses the Blackwell 2.0 architecture with the GB20B chip. Both are manufactured on a 5 nm process at TSMC, but the H100 CNX uses a much larger die. The H100 CNX die size is 814 mm², which is more than double the N1X 48SM's 382 mm². The H100 CNX packs 80,000 million transistors, while the N1X 48SM's transistor count is unknown. The H100 CNX achieves a transistor density of 98.3M per mm².

The H100 CNX is a dual-slot server card with an 8-pin EPS power connector and a 350 W TDP. It requires a 750 W suggested PSU. The N1X 48SM is an integrated graphics processor (IGP) with no power connectors, no slot width, and an unknown TDP. The H100 CNX has physical dimensions of 267 mm length and 111 mm height, while the N1X 48SM has no recorded dimensions.

The H100 CNX uses HBM2e memory, which is a high-bandwidth, low-capacity type suited for server compute. The N1X 48SM uses LPDDR5X, a lower-bandwidth but higher-capacity memory type suited for integrated or mobile-class parts. The H100 CNX has 456 tensor cores, while the N1X 48SM has 192. The H100 CNX has no RT cores, while the N1X 48SM has 48. The H100 CNX has no display outputs, while the N1X 48SM has one HDMI port. The H100 CNX lists no API support (DirectX, OpenGL, Vulkan all null), while the N1X 48SM explicitly lists N/A for all three APIs.

Release dates differ significantly. The H100 CNX was released on 2023-03-20, and the N1X 48SM is dated 2026-05-31. The H100 CNX has a predecessor in Server Ada and a successor in Server Blackwell. The N1X 48SM has no recorded predecessor or successor.

The Verdict

The data indicates two fundamentally different hardware classes. The NVIDIA H100 CNX is a server compute accelerator optimized for maximum throughput and bandwidth. Its 53.84 TFLOPS FP32, 215.4 TFLOPS FP16 (4:1), 456 tensor cores, and 2.04 TB/s memory bandwidth make it the obvious choice for AI training, scientific computing, and large-scale data processing. The 350 W TDP and dual-slot form factor confirm its data-center orientation. The absence of display outputs and API support further reinforces that it is not intended for graphics or end-user display work.

The NVIDIA N1X 48SM is a Blackwell IGP with a smaller die (382 mm²), a higher boost clock (2346 MHz), and a more balanced feature set. Its 48 RT cores, 112.6 GPixel/s pixel rate, and 900.9 GTexel/s texture rate give it a clear edge in graphics-related metrics. The 128 GB memory capacity is larger than the H100 CNX's 80 GB, and the 1:1 FP16 ratio provides full-precision FP16 throughput without the 4:1 penalty. The HDMI output makes it usable in a display-capable system.

The verdict splits cleanly. For compute density, memory bandwidth, and tensor-heavy workloads, the H100 CNX is the superior part based on recorded specifications. For graphics output, ray tracing, capacity-sensitive tasks, and full-rate FP16, the N1X 48SM holds the advantage. Neither part has benchmark scores in the database, so these conclusions are drawn entirely from the measured specification deltas. The user should select based on workload: H100 CNX for server compute, N1X 48SM for integrated graphics and capacity-oriented tasks.