NVIDIA H20 vs NVIDIA Jetson T5000 Comparison

Where Each One Wins

The NVIDIA H20 and NVIDIA Jetson T5000 occupy entirely different segments of the server GPU market. The H20 is a massive Hopper-generation accelerator built for compute density and memory bandwidth, while the Jetson T5000 is a compact Blackwell-generation embedded module designed for edge inference with a far lower power envelope. The recorded data shows no direct benchmark wins for either part, as both have an empty benchmark record and an identical 50th percentile ranking across all GPUs in the database. However, the specification sheets reveal a clear use-case split.

The H20 wins decisively in raw compute throughput. Its FP32 rating of 39.54 TFLOPS is roughly 4.9 times the Jetson T5000's 8.064 TFLOPS, and its FP16 output of 79.07 TFLOPS (2:1) is about 9.8 times higher than the T5000's 8.064 TFLOPS (1:1). The H20 also dominates memory bandwidth at 4.03 TB/s versus 273.2 GB/s, a 14.75-fold gap. This makes the H20 the clear choice for large-scale model training, high-throughput inference batching, and workloads that require moving massive datasets through the memory subsystem.

The Jetson T5000 wins in power efficiency and physical footprint. Its 120 W TDP is less than one-quarter of the H20's 500 W rating, and its IGP slot form factor with dimensions of 87 mm by 100 mm by 15 mm allows deployment in compact embedded systems. The T5000's 128 GB of LPDDR5X memory actually exceeds the H20's 96 GB of HBM3, though the bandwidth is far lower. This indicates the T5000 targets scenarios where memory capacity per watt matters more than raw throughput, such as real-time edge inference, robotics, or on-device analytics.

The architectural split is stark: the H20 is a server-class SXM module with PCIe 5.0 x16 connectivity, while the T5000 is an IGP with PCIe 5.0 x8. The H20 has no display outputs, as does the T5000, so neither targets graphics workloads. Both carry the same 5 nm process node from TSMC, but the H20 uses 80,000 million transistors on an 814 mm² die, while the T5000 uses a 391 mm² die with its transistor count listed as unknown. The density difference, 98.3M per mm² for the H20 versus no listed figure for the T5000, reflects the H20's heavier resource allocation per square millimeter.

Architecture Differences

The H20 is built on the GH100 chip using the Hopper architecture, categorized in the database as Server Hopper (Hxx). The Jetson T5000 uses the GB10B chip with the Blackwell architecture, categorized as Server Blackwell (Bxx). This generation gap matters: the H20's predecessor is Server Ada and its successor is Server Blackwell, meaning the T5000 belongs to the generation that follows the H20's lineage. The T5000's predecessor is listed as Server Hopper, which directly connects these two parts in a generational chain.

The H20 packs 9,984 shading units, 312 TMUs, and 24 ROPs. The Jetson T5000 has 2,560 shading units, 80 TMUs, and 32 ROPs. Despite having fewer ROPs, the H20 achieves a pixel rate of 47.52 GPixel/s, which is slightly lower than the T5000's 50.40 GPixel/s. This occurs because the T5000's higher ROP count compensates for its lower clock speeds. Texture rate tells a different story: the H20 delivers 617.8 GTexel/s versus the T5000's 126.0 GTexel/s, a 4.9-fold advantage driven by both more TMUs and higher clocks.

Tensor core counts differ substantially. The H20 has 312 tensor cores, while the T5000 has 96. The H20 also features no listed RT cores, while the T5000 includes 20 RT cores. This suggests the T5000 carries some ray tracing capability for specialized workloads, though both parts report N/A for DirectX, OpenGL, and Vulkan APIs, confirming neither is intended for standard graphics rendering.

Clock speeds favor the H20 on the GPU side: its base clock of 1830 MHz and boost clock of 1980 MHz exceed the T5000's 1386 MHz base and 1575 MHz boost. Memory clocks invert the relationship. The H20's memory runs at 1313 MHz with 5.3 Gbps effective data rate, while the T5000's memory runs at 1067 MHz with 8.5 Gbps effective. The T5000's faster effective memory rate per pin partially compensates for its narrower 256-bit bus, but the H20's 6144-bit bus width creates an insurmountable bandwidth gap.

Memory architecture differs fundamentally. The H20 uses 96 GB of HBM3 on a 6144-bit interface, achieving 4.03 TB/s. The T5000 uses 128 GB of LPDDR5X on a 256-bit interface, achieving 273.2 GB/s. The T5000 offers 33% more capacity but 93% less bandwidth. This trade-off suits the T5000's embedded role, where large model footprints must fit within power constraints, while the H20 prioritizes streaming throughput for data-center scale operations.

Power delivery separates the two designs completely. The H20 draws 500 W and requires a 900 W suggested PSU, while the T5000 draws 120 W with a 300 W suggested PSU. The H20 is an SXM module, a socketed server form factor, whereas the T5000 is an IGP with no power connectors listed. The H20's release date of 2024-01-31 and the T5000's release date of 2025-08-26 place the T5000 roughly nineteen months behind the H20 in the product cycle.

Head-to-Head Benchmarks

The database records no direct head-to-head benchmark results between these two GPUs. Both have an average benchmark score of zero and no entries in their benchmark arrays, and the head-to-head benchmark list is empty. The percentile ranking for both is 50, placing each at the median of all GPUs in the database, though this figure carries little weight given the absence of measured scores.

Without recorded benchmarks, the specification-derived performance deltas serve as the primary comparison tool. The FP32 compute gap is the most straightforward: the H20's 39.54 TFLOPS is 4.90 times the T5000's 8.064 TFLOPS. In FP16, the H20's 79.07 TFLOPS dwarfs the T5000's 8.064 TFLOPS by a factor of 9.80. The T5000's FP16 rating equals its FP32 rating at a 1:1 ratio, whereas the H20 doubles its FP32 output in FP16 at a 2:1 ratio, indicating the H20's tensor-heavy design scales more aggressively in reduced precision.

Memory bandwidth provides the largest single-metric gap. The H20's 4.03 TB/s versus the T5000's 273.2 GB/s means the H20 transfers data 14.75 times faster. Texture rate favors the H20 at 617.8 GTexel/s versus 126.0 GTexel/s, a 4.90-fold difference. Pixel rate slightly favors the T5000 at 50.40 GPixel/s versus 47.52 GPixel/s, a 1.06-fold advantage, which is the only metric where the T5000 leads.

The shading unit count difference, 9,984 versus 2,560, is a 3.90-fold gap. TMUs differ by 3.90-fold as well, 312 versus 80. ROPs invert this: the T5000 has 32 versus the H20's 24, a 1.33-fold advantage. Tensor cores show a 3.25-fold gap, 312 versus 96, while RT cores exist only on the T5000 with 20 units.

Clock speeds show the H20 leading by 1.32-fold in base clock (1830 MHz versus 1386 MHz) and 1.26-fold in boost clock (1980 MHz versus 1575 MHz). The die size difference is 2.08-fold, 814 mm² versus 391 mm², and the transistor count difference is substantial: 80,000 million for the H20 versus an unknown figure for the T5000. The H20's 98.3M per mm² transistor density has no counterpart in the T5000's specifications.

The memory bus width gap is the most extreme: 6144 bits versus 256 bits, a 24-fold difference. Memory capacity favors the T5000 at 128 GB versus 96 GB, a 1.33-fold advantage. The effective memory data rate favors the T5000 at 8.5 Gbps versus 5.3 Gbps, a 1.60-fold advantage, though this does not compensate for the bus width disparity.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The NVIDIA H20 delivers 39.54 TFLOPS in FP32, which is 4.90 times the Jetson T5000's 8.064 TFLOPS.

Q: How do the memory capacities compare?

A: The Jetson T5000 has 128 GB of LPDDR5X memory, exceeding the H20's 96 GB of HBM3 by 33%. However, the H20's memory bandwidth of 4.03 TB/s is 14.75 times higher than the T5000's 273.2 GB/s.

Q: What are the power requirements for each GPU?

A: The H20 has a 500 W TDP and a suggested PSU of 900 W, while the T5000 has a 120 W TDP and a suggested PSU of 300 W. The T5000 uses no power connectors, and the H20 is an SXM module.

Q: Which GPU is physically smaller?

A: The Jetson T5000 is an IGP with dimensions of 87 mm by 100 mm by 15 mm. The H20's dimensions are not listed in the database, but its SXM module form factor is designed for server sockets rather than compact embedded systems.

Q: Do either of these GPUs support graphics APIs?

A: Neither GPU supports DirectX, OpenGL, or Vulkan, and both have no display outputs. They are compute-focused accelerators.

Q: What is the architectural generation difference?

A: The H20 uses the Hopper architecture on the GH100 chip, while the T5000 uses the Blackwell architecture on the GB10B chip. The T5000's predecessor is listed as Server Hopper, making it the direct successor to the H20's generation.

The Verdict

The data indicates the NVIDIA H20 is the appropriate selection for workloads demanding maximum compute throughput and memory bandwidth in a data-center environment. Its 39.54 TFLOPS FP32, 79.07 TFLOPS FP16, and 4.03 TB/s bandwidth place it in a performance class that the Jetson T5000 cannot approach. The 500 W TDP and SXM form factor suit rack-mounted servers with ample cooling and power delivery. The H20's 96 GB of HBM3 serves large model training and high-concurrency inference where bandwidth is the bottleneck.

The NVIDIA Jetson T5000 is the correct choice for edge deployments where power draw and physical size are constraints. Its 120 W TDP, IGP form factor, and 128 GB of LPDDR5X memory allow it to operate in embedded systems with limited thermal budgets. The T5000's 8.064 TFLOPS FP32 and FP16 performance, while far below the H20, still provides meaningful compute for real-time inference at the edge. The inclusion of 20 RT cores and a 1:1 FP16 ratio suggests a design optimized for specific inference workloads rather than general-purpose training.

The database shows both GPUs at the 50th percentile overall, which reflects their specialized positioning rather than direct competition. The H20 targets the high end of server compute with a 500 W power class, while the T5000 targets the low-power embedded segment with a 120 W envelope. Users with access to standard server infrastructure and a need for maximum throughput should select the H20. Users deploying at the edge with strict power limits and modest space should select the T5000. The two GPUs do not compete for the same socket, workload, or deployment scenario.

The T5000's launch MSRP is 2,999 USD, and the H20 has no listed launch MSRP, further indicating their different market positions. The H20's successor is Server Blackwell, which aligns with the T5000's architecture, confirming the T5000 represents the newer generation despite its lower raw performance. This is a deliberate design choice: the T5000 delivers newer architecture features, such as RT cores and a 1:1 FP16 ratio, in a power-constrained package, while the H20 maximizes brute-force compute within a server power class.

Specification Differences

| Specification | NVIDIA H20 | NVIDIA Jetson T5000 |

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

| Chip | GH100 | GB10B |

| Architecture | Hopper | Blackwell |

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

| Process Node | 5 nm | 5 nm |

| Foundry | TSMC | TSMC |

| Transistors | 80,000 million | unknown |

| Die Size | 814 mm² | 391 mm² |

| Transistor Density | 98.3M / mm² | null |

| Base Clock | 1830 MHz | 1386 MHz |

| Boost Clock | 1980 MHz | 1575 MHz |

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

| Memory Size | 96 GB | 128 GB |

| Memory Type | HBM3 | LPDDR5X |

| Memory Bus Width | 6144 bit | 256 bit |

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

| Shading Units | 9984 | 2560 |

| TMUs | 312 | 80 |

| ROPs | 24 | 32 |

| RT Cores | null | 20 |

| Tensor Cores | 312 | 96 |

| Pixel Rate | 47.52 GPixel/s | 50.40 GPixel/s |

| Texture Rate | 617.8 GTexel/s | 126.0 GTexel/s |

| FP32 | 39.54 TFLOPS | 8.064 TFLOPS |

| FP16 | 79.07 TFLOPS (2:1) | 8.064 TFLOPS (1:1) |

| TDP | 500 W | 120 W |

| Slot Width | SXM Module | IGP |

| Power Connectors | null | None |

| Suggested PSU | 900 W | 300 W |

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

| Display Outputs | No outputs | No outputs |

| DirectX | N/A | N/A |

| OpenGL | N/A | N/A |

| Vulkan | N/A | N/A |

| Length | null | 87 mm 3.4 inches |

| Height | null | 100 mm 3.9 inches |

| Width | null | 15 mm 0.6 inches |

| Production Status | Active | Active |

| Release Date | 2024-01-31 | 2025-08-26 |

| Predecessor | Server Ada | Server Hopper |

| Successor | Server Blackwell | Server Rubin |

| Launch MSRP | null | 2,999 USD |