NVIDIA H20 NVL16 vs NVIDIA Jetson T4000 Comparison

Head-to-Head Benchmarks

The recorded data for both the NVIDIA H20 NVL16 and the NVIDIA Jetson T4000 shows no direct benchmark scores, average benchmark scores of 0, and zero head-to-head benchmark entries. Both products occupy the 50th percentile in the database's all-GPU distribution, which places them at the median of recorded performance rankings. The absence of measured performance data means the comparison must rely on architectural specifications and derived computational throughput figures rather than empirical workload results.

The FP32 compute rate presents the largest measurable gap between the two. The H20 NVL16 delivers 39.54 TFLOPS of single-precision throughput, while the Jetson T4000 produces 4.700 TFLOPS. This represents a ratio of approximately 8.4 to 1 in favor of the H20 NVL16. In practical terms, the H20 NVL16 processes roughly eight times more single-precision floating-point operations per second than the Jetson T4000, a difference that would translate into substantially shorter execution times for compute-bound tasks.

The FP16 comparison follows a different pattern. The H20 NVL16 achieves 79.07 TFLOPS using a 2:1 ratio, meaning it doubles its FP32 output when operating in half-precision mode. The Jetson T4000 delivers 4.700 TFLOPS at a 1:1 ratio, indicating no throughput advantage when switching to FP16. The effective half-precision gap is therefore approximately 16.8 to 1, larger than the FP32 difference because the H20 NVL16 exploits the 2:1 tensor-core acceleration while the Jetson T4000 does not.

Memory bandwidth similarly favors the H20 NVL16 by a wide margin. The H20 NVL16 reaches 4.03 TB/s through its 6144-bit HBM3 interface, while the Jetson T4000 manages 273.2 GB/s across a 256-bit LPDDR5X bus. The bandwidth ratio is about 14.8 to 1. This disparity matters for memory-bound workloads such as large matrix operations or data-intensive inference, where the ability to feed compute units becomes the limiting factor.

Pixel and texture rates also diverge sharply. The H20 NVL16 sustains 47.52 GPixel/s and 617.8 GTexel/s, whereas the Jetson T4000 produces 24.48 GPixel/s and 73.44 GTexel/s. The pixel rate gap is roughly 1.9 to 1, while the texture rate gap is approximately 8.4 to 1. These figures reflect the H20 NVL16's 312 texture mapping units against the Jetson T4000's 48, and its 24 ROPs versus 16.

Clock speeds show the H20 NVL16 operating at a 1830 MHz base and 1980 MHz boost, while the Jetson T4000 runs at a fixed 1530 MHz for both base and boost. The boost clock advantage for the H20 NVL16 is approximately 29 percent. Memory clocks differ in kind as well: the H20 NVL16 uses a 1313 MHz base with 5.3 Gbps effective data rate, while the Jetson T4000 runs at 1067 MHz with 8.5 Gbps effective, reflecting the different memory technologies.

Architecture Differences

The two NVIDIA products belong to different architectural generations. The H20 NVL16 uses the GH100 chip on the Hopper architecture, classified in the Server Hopper (Hxx) generation. The Jetson T4000 uses the GB10B chip on the Blackwell architecture, classified in the Server Blackwell (Bxx) generation. This generational split means the Jetson T4000 is the newer design, released after the H20 NVL16.

Both are fabricated on a 5 nm process at TSMC, so the manufacturing node is identical. The die sizes differ considerably: the H20 NVL16 measures 814 mm² with 80,000 million transistors, producing a transistor density of 98.3 million per square millimeter. The Jetson T4000 measures 391 mm² with an unknown transistor count, so its density cannot be computed from the available data. The H20 NVL16's die is roughly 2.1 times larger physically, and its known transistor count vastly exceeds the unspecified figure for the Jetson T4000.

Compute resources diverge strongly in count. The H20 NVL16 carries 9984 shading units, 312 TMUs, 24 ROPs, and 312 tensor cores. The Jetson T4000 carries 1536 shading units, 48 TMUs, 16 ROPs, 12 ray-tracing cores, and 64 tensor cores. The H20 NVL16 has about 6.5 times more shading units, 6.5 times more TMUs, and 4.9 times more tensor cores. The Jetson T4000 uniquely includes ray-tracing cores in its specification, a feature not listed for the H20 NVL16.

Memory architecture represents a fundamental difference. The H20 NVL16 uses 96 GB of HBM3 with a 6144-bit bus, achieving 4.03 TB/s bandwidth. The Jetson T4000 uses 64 GB of LPDDR5X with a 256-bit bus, achieving 273.2 GB/s. The memory capacity advantage sits with the H20 NVL16 at 1.5 times more storage, while the bandwidth advantage is approximately 14.8 times greater for the H20 NVL16. The Jetson T4000's LPDDR5X is a lower-power, board-integrated memory type, whereas HBM3 is a high-bandwidth stacked design.

FP16 behavior differentiates the two architectures. The H20 NVL16 reports FP16 at 79.07 TFLOPS with a 2:1 ratio, indicating that its tensor cores double the FP32 rate. The Jetson T4000 reports FP16 at 4.700 TFLOPS with a 1:1 ratio, meaning no doubling occurs. This suggests the Jetson T4000's tensor cores do not accelerate FP16 beyond the FP32 rate, or that the measured figure reflects a different execution path.

Power and physical specifications also differ. The H20 NVL16 has a TDP of 400 W with a suggested PSU of 800 W, and uses an SXM Module slot width. The Jetson T4000 has a TDP of 90 W with a suggested PSU of 250 W, uses an IGP slot width, and requires no external power connectors. The Jetson T4000's dimensions are recorded as 87 mm by 100 mm by 15 mm, while the H20 NVL16 has no recorded dimensions. The Jetson T4000 connects via PCIe 5.0 x8, while the H20 NVL16 uses PCIe 5.0 x16.

Neither product has display outputs, and both list N/A for DirectX, OpenGL, and Vulkan APIs. The H20 NVL16 released in September 2025, while the Jetson T4000 released in January 2026. The database lists the H20 NVL16's predecessor as Server Ada and successor as Server Blackwell, while the Jetson T4000's predecessor is Server Hopper and successor is Server Rubin.

Where Each One Wins

The H20 NVL16 wins decisively in raw compute throughput. Its FP32 rate of 39.54 TFLOPS versus 4.700 TFLOPS, and its FP16 rate of 79.07 TFLOPS versus 4.700 TFLOPS, place it in a different performance tier. Workloads dominated by dense linear algebra, large-scale matrix multiplications, or high-throughput tensor operations would complete far faster on the H20 NVL16, assuming the software can utilize the 312 tensor cores effectively.

Memory bandwidth similarly favors the H20 NVL16. The 4.03 TB/s figure versus 273.2 GB/s means the H20 NVL16 can feed its compute units at a rate roughly 15 times higher. For models or datasets that exceed the memory bandwidth of the Jetson T4000, the H20 NVL16 avoids stalling on data movement. The larger 96 GB memory capacity also allows the H20 NVL16 to hold bigger working sets than the Jetson T4000's 64 GB.

The Jetson T4000 wins on power efficiency per the recorded specifications. Its 90 W TDP against 400 W means it draws about 22.5 percent of the power of the H20 NVL16. Dividing FP32 throughput by TDP yields approximately 0.052 TFLOPS per watt for the Jetson T4000 versus 0.099 TFLOPS per watt for the H20 NVL16, indicating the H20 NVL16 is roughly 1.9 times more power-efficient in raw FP32 per watt. The Jetson T4000's absolute power draw, however, makes it viable in environments where 400 W is infeasible.

The Jetson T4000 also wins on physical integration. Its IGP slot width and lack of power connectors allow installation in compact systems, and its recorded 87 mm by 100 mm by 15 mm dimensions fit within small form factors. The H20 NVL16's SXM Module form factor requires a compatible server chassis with the 800 W PSU support. The Jetson T4000's fixed 1530 MHz clock, with no boost variance, also provides predictable thermal behavior at low power.

The Jetson T4000 holds the architectural recency advantage. It belongs to the Blackwell generation and released in January 2026, after the H20 NVL16's September 2025 release. Its 12 ray-tracing cores, absent from the H20 NVL16's specification, could benefit any workload using ray-tracing acceleration, although the database lists no benchmarks to confirm this.

FAQ

Q: Which GPU has higher FP32 compute throughput?

A: The NVIDIA H20 NVL16 delivers 39.54 TFLOPS in FP32, compared to the NVIDIA Jetson T4000's 4.700 TFLOPS. The H20 NVL16 is approximately 8.4 times faster in single-precision compute.

Q: How do the FP16 rates compare?

A: The H20 NVL16 achieves 79.07 TFLOPS at a 2:1 ratio, while the Jetson T4000 achieves 4.700 TFLOPS at a 1:1 ratio. The H20 NVL16's FP16 throughput is about 16.8 times higher.

Q: What are the memory capacity and bandwidth differences?

A: The H20 NVL16 has 96 GB of HBM3 with 4.03 TB/s bandwidth on a 6144-bit bus. The Jetson T4000 has 64 GB of LPDDR5X with 273.2 GB/s bandwidth on a 256-bit bus. The H20 NVL16 offers 1.5 times the capacity and about 14.8 times the bandwidth.

Q: Which product has ray-tracing cores?

A: The Jetson T4000 includes 12 ray-tracing cores in its specification. The H20 NVL16's specification does not list any ray-tracing cores.

Q: What are the power requirements for each?

A: The H20 NVL16 has a TDP of 400 W and a suggested PSU of 800 W. The Jetson T4000 has a TDP of 90 W and a suggested PSU of 250 W, with no external power connectors required.

Q: When were these products released?

A: The H20 NVL16 released in September 2025. The Jetson T4000 released in January 2026.

The Verdict

The data supports a clear differentiation based on workload scale and power constraints. For compute-intensive server workloads requiring maximum throughput, the H20 NVL16 is the appropriate choice. Its FP32 performance of 39.54 TFLOPS, FP16 performance of 79.07 TFLOPS, and memory bandwidth of 4.03 TB/s position it for large-scale training or inference tasks that can utilize its 9984 shading units and 312 tensor cores. The 96 GB HBM3 capacity also accommodates larger models or batch sizes.

For power-constrained or compact deployments, the Jetson T4000 is the viable option. Its 90 W TDP, IGP form factor, and no-connector power design make it suitable for embedded or edge environments where the H20 NVL16's 400 W TDP and SXM Module slot cannot be supported. The Jetson T4000's 64 GB LPDDR5X memory and 4.700 TFLOPS FP32 rate still provide meaningful compute capability, and its 12 ray-tracing cores add functionality the H20 NVL16 lacks.

The architectural generation split favors the Jetson T4000 on recency, as it belongs to the Blackwell generation released in January 2026, while the H20 NVL16 belongs to the older Hopper generation. However, the H20 NVL16's substantial compute and bandwidth advantages overwhelm the generational difference in raw performance metrics. Users needing maximum throughput should select the H20 NVL16. Users needing low-power operation in a compact physical footprint should select the Jetson T4000.

Specification Differences

| Specification | NVIDIA H20 NVL16 | NVIDIA Jetson T4000 |

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

| Architecture | Hopper | Blackwell |

| Generation | Server Hopper (Hxx) | Server Blackwell (Bxx) |

| Chip | GH100 | GB10B |

| Process Node | 5 nm | 5 nm |

| Die Size | 814 mm² | 391 mm² |

| Transistors | 80,000 million | unknown |

| Base Clock | 1830 MHz | 1530 MHz |

| Boost Clock | 1980 MHz | 1530 MHz |

| Memory Size | 96 GB | 64 GB |

| Memory Type | HBM3 | LPDDR5X |

| Memory Bus Width | 6144 bit | 256 bit |

| Memory Bandwidth | 4.03 TB/s | 273.2 GB/s |

| Memory Clock | 1313 MHz 5.3 Gbps effective | 1067 MHz 8.5 Gbps effective |

| Shading Units | 9984 | 1536 |

| TMUs | 312 | 48 |

| ROPs | 24 | 16 |

| Ray Tracing Cores | None listed | 12 |

| Tensor Cores | 312 | 64 |

| Pixel Rate | 47.52 GPixel/s | 24.48 GPixel/s |

| Texture Rate | 617.8 GTexel/s | 73.44 GTexel/s |

| FP32 | 39.54 TFLOPS | 4.700 TFLOPS |

| FP16 | 79.07 TFLOPS (2:1) | 4.700 TFLOPS (1:1) |

| TDP | 400 W | 90 W |

| Slot Width | SXM Module | IGP |

| Power Connectors | None listed | None |

| Suggested PSU | 800 W | 250 W |

| Bus Interface | PCIe 5.0 x16 | PCIe 5.0 x8 |

| Dimensions | Not recorded | 87 mm x 100 mm x 15 mm |

| Release Date | September 2025 | January 2026 |

| Launch MSRP | Not recorded | 1,999 USD |