NVIDIA H20 NVL16 vs NVIDIA Jetson T5000 Comparison

Head-to-Head Benchmarks

The database contains no recorded benchmark scores for either the NVIDIA H20 NVL16 or the NVIDIA Jetson T5000. Both parts show an average benchmark score of zero, and the head-to-head benchmark field is empty. Consequently, there are no exact performance deltas to report from direct measurements. What the data does provide is a full architectural and specification comparison that allows for reasoned analysis of expected performance characteristics.

The H20 NVL16 delivers 39.54 TFLOPS of FP32 compute, while the Jetson T5000 delivers 8.064 TFLOPS. This represents a 4.9x advantage for the H20 NVL16 in single-precision floating-point throughput. In FP16, the H20 NVL16 reaches 79.07 TFLOPS (2:1 ratio), whereas the Jetson T5000 achieves 8.064 TFLOPS (1:1 ratio). The H20 NVL16 holds a 9.8x lead in half-precision compute. These figures indicate that the H20 NVL16 is the clear compute leader for workloads that scale with raw FLOPs.

The H20 NVL16 also has a substantial advantage in memory bandwidth. It provides 4.03 TB/s of bandwidth through HBM3 memory with a 6144-bit bus, while the Jetson T5000 provides 273.2 GB/s through LPDDR5X memory on a 256-bit bus. The bandwidth difference is approximately 14.7x in favor of the H20 NVL16. This gap matters for memory-bound workloads such as large matrix operations and dense inference tasks that require feeding data to compute units continuously.

Texture and pixel throughput tell a different story. The H20 NVL16 achieves 617.8 GTexel/s and 47.52 GPixel/s, while the Jetson T5000 achieves 126.0 GTexel/s and 50.40 GPixel/s. The Jetson T5000 actually has a higher pixel rate, 50.40 GPixel/s versus 47.52 GPixel/s, despite having far fewer ROPs (32 versus 24). The H20 NVL16 has a 4.9x advantage in texture rate. These differences matter for graphics-style workloads, though both parts have no display outputs and no graphics API support, so these metrics are of limited practical relevance.

The H20 NVL16 has 9984 shading units and 312 tensor cores. The Jetson T5000 has 2560 shading units and 96 tensor cores. The H20 NVL16 has 3.9x more shading units and 3.25x more tensor cores. The Jetson T5000 does include 20 ray tracing cores, while the H20 NVL16 lists no RT cores in the database. For ray tracing-specific workloads, the Jetson T5000 has dedicated hardware that the H20 NVL16 does not expose.

Both GPUs are built on a 5 nm process at TSMC. The H20 NVL16 has an 814 mm² die size with 80,000 million transistors, resulting in a transistor density of 98.3M per mm². The Jetson T5000 has a 391 mm² die with an unknown transistor count. The H20 NVL16 die is more than twice the size, which aligns with its much larger compute and memory resources.

Clock speeds also differ. The H20 NVL16 runs at 1830 MHz base and 1980 MHz boost, while the Jetson T5000 runs at 1386 MHz base and 1575 MHz boost. The H20 NVL16 has a 444 MHz higher base clock and a 405 MHz higher boost clock. Memory clocks are 1313 MHz (5.3 Gbps effective) for the H20 NVL16 versus 1067 MHz (8.5 Gbps effective) for the Jetson T5000. The effective data rate is higher on the Jetson T5000, but the total bandwidth remains far lower due to the narrow bus.

The Verdict

The data points to two different device classes. The NVIDIA H20 NVL16 is a server accelerator designed for high-throughput compute, with massive FP32, FP16, and memory bandwidth resources. The NVIDIA Jetson T5000 is a compact embedded module with a much smaller power envelope and physical footprint.

Anyone needing maximum compute throughput for dense numerical workloads should select the H20 NVL16. Its 39.54 TFLOPS FP32 and 79.07 TFLOPS FP16 figures are roughly 5x and 10x the Jetson T5000, respectively. Its 4.03 TB/s memory bandwidth is the clear enabler for feeding large datasets to those compute units.

Anyone constrained by power, space, or cost should select the Jetson T5000. It operates at 120 W TDP versus 400 W for the H20 NVL16. It is an IGP with dimensions of 87 mm by 100 mm by 15 mm, while the H20 NVL16 is an SXM module with no listed dimensions. The Jetson T5000 has a launch MSRP of 2,999 USD, whereas the H20 NVL16 has no launch MSRP recorded. The Jetson T5000 also ships with 128 GB of LPDDR5X memory, which is 32 GB more than the 96 GB HBM3 on the H20 NVL16, though at far lower bandwidth.

The H20 NVL16 has a 50th percentile rank among all GPUs in the database, as does the Jetson T5000. Both occupy the median position, which suggests that neither is positioned as a top-tier performer in the overall GPU landscape. The absence of benchmark scores means the percentile ranking is based on other recorded attributes.

Architecture Differences

The H20 NVL16 uses the GH100 chip based on the Hopper architecture, belonging to the Server Hopper (Hxx) generation. The Jetson T5000 uses the GB10B chip based on the Blackwell architecture, belonging to the Server Blackwell (Bxx) generation. The predecessor and successor relationships in the database confirm this progression: the H20 NVL16 lists Server Ada as its predecessor and Server Blackwell as its successor, while the Jetson T5000 lists Server Hopper as its predecessor and Server Rubin as its successor. This places the two parts in adjacent architecture generations.

Both are fabricated on a 5 nm process at TSMC, so the architectural differences come from design choices rather than process technology. The H20 NVL16 is a massive die at 814 mm², while the Jetson T5000 is 391 mm². The H20 NVL16 packs 80,000 million transistors, while the Jetson T5000 transistor count is unknown.

The tensor core configurations differ. The H20 NVL16 has 312 tensor cores, while the Jetson T5000 has 96 tensor cores. The H20 NVL16 supports FP16 at a 2:1 ratio, meaning it processes two FP16 operations per cycle per unit. The Jetson T5000 runs FP16 at a 1:1 ratio. This is a fundamental architectural difference in how the two chips handle half-precision compute.

Ray tracing support is another key difference. The Jetson T5000 has 20 RT cores, while the H20 NVL16 has none listed. This gives the Jetson T5000 a capability that the H20 NVL16 does not provide in the recorded data. However, both parts have no display outputs and no graphics API support, so the RT cores may serve compute or specialized workloads rather than consumer graphics.

The memory systems are architecturally distinct. The H20 NVL16 uses HBM3 with a 6144-bit bus, designed for extreme bandwidth. The Jetson T5000 uses LPDDR5X with a 256-bit bus, designed for low power and compact integration. The H20 NVL16 memory operates at 1313 MHz with 5.3 Gbps effective data rate, while the Jetson T5000 memory operates at 1067 MHz with 8.5 Gbps effective data rate. The higher effective data rate on the Jetson T5000 partially compensates for the narrower bus, but not enough to close the bandwidth gap.

Specification Differences

The following fields differ between the two parts, per the database records:

• Chip: GH100 versus GB10B
• Architecture: Hopper versus Blackwell
• Generation: Server Hopper (Hxx) versus Server Blackwell (Bxx)
• Transistors: 80,000 million versus unknown
• Die size: 814 mm² versus 391 mm²
• Transistor density: 98.3M per mm² versus null
• Base clock: 1830 MHz versus 1386 MHz
• Boost clock: 1980 MHz versus 1575 MHz
• Memory clock: 1313 MHz 5.3 Gbps effective versus 1067 MHz 8.5 Gbps effective
• Memory size: 96 GB versus 128 GB
• Memory type: HBM3 versus LPDDR5X
• Memory bus width: 6144 bit versus 256 bit
• Memory bandwidth: 4.03 TB/s versus 273.2 GB/s
• Shading units: 9984 versus 2560
• TMUs: 312 versus 80
• ROPs: 24 versus 32
• RT cores: null versus 20
• Tensor cores: 312 versus 96
• Pixel rate: 47.52 GPixel/s versus 50.40 GPixel/s
• Texture rate: 617.8 GTexel/s versus 126.0 GTexel/s
• FP32: 39.54 TFLOPS versus 8.064 TFLOPS
• FP16: 79.07 TFLOPS (2:1) versus 8.064 TFLOPS (1:1)
• TDP: 400 W versus 120 W
• Slot width: SXM Module versus IGP
• Power connectors: null versus None
• Suggested PSU: 800 W versus 300 W
• Bus interface: PCIe 5.0 x16 versus PCIe 5.0 x8
• Dimensions: no listed dimensions versus 87 mm by 100 mm by 15 mm
• Release date: 2025-09-01 versus 2025-08-26
• Predecessor: Server Ada versus Server Hopper
• Successor: Server Blackwell versus Server Rubin
• Launch MSRP: null versus 2,999 USD

FAQ

Q: Which GPU has more FP32 compute power?

A: The H20 NVL16 delivers 39.54 TFLOPS, while the Jetson T5000 delivers 8.064 TFLOPS. The H20 NVL16 is approximately 4.9x faster in single-precision.

Q: Which GPU has more memory?

A: The Jetson T5000 has 128 GB of LPDDR5X memory, while the H20 NVL16 has 96 GB of HBM3. The Jetson T5000 carries 32 GB more capacity.

Q: Which GPU has higher memory bandwidth?

A: The H20 NVL16 has 4.03 TB/s of bandwidth, while the Jetson T5000 has 273.2 GB/s. The H20 NVL16 provides roughly 14.7x more bandwidth.

Q: What is the power draw of each GPU?

A: The H20 NVL16 has a 400 W TDP with an 800 W suggested PSU. The Jetson T5000 has a 120 W TDP with a 300 W suggested PSU.

Q: Does either GPU support ray tracing?

A: The Jetson T5000 has 20 RT cores. The H20 NVL16 has no RT cores listed in the database.

Q: What are the physical form factors?

A: The H20 NVL16 is an SXM Module with no recorded dimensions. The Jetson T5000 is an IGP measuring 87 mm by 100 mm by 15 mm.

Q: When was each GPU released?

A: The Jetson T5000 was released on 2025-08-26, and the H20 NVL16 was released on 2025-09-01, six days later.

Q: What is the process node for both chips?

A: Both are built on a 5 nm process at TSMC.

Where Each One Wins

The H20 NVL16 wins in raw compute throughput. Its FP32 output of 39.54 TFLOPS and FP16 output of 79.07 TFLOPS place it far ahead of the Jetson T5000. Tensor core count of 312 versus 96 reinforces this advantage for AI and matrix workloads. Memory bandwidth of 4.03 TB/s versus 273.2 GB/s makes it the preferred choice for large-scale data movement. The 6144-bit HBM3 bus is built for sustained throughput, while the 256-bit LPDDR5X bus on the Jetson T5000 is not in the same class. The H20 NVL16 also has 9984 shading units and 312 TMUs, giving it a 3.9x and 3.9x advantage respectively in those resources.

The Jetson T5000 wins in capacity and physical integration. It has 128 GB of memory versus 96 GB, so it can hold larger models or datasets in memory without spilling. Its 120 W TDP is one-third of the H20 NVL16's 400 W, and its 300 W suggested PSU versus 800 W reflects a much lighter power infrastructure requirement. Its IGP form factor with dimensions of 87 mm by 100 mm by 15 mm allows installation in compact systems, while the H20 NVL16 is an SXM module with no recorded dimensions. The Jetson T5000 also has 20 RT cores, a feature absent from the H20 NVL16. Its pixel rate of 50.40 GPixel/s is higher than the 47.52 GPixel/s of the H20 NVL16, an unusual win given the H20 NVL16's larger overall resource pool. The Jetson T5000 has a launch MSRP of 2,999 USD, while the H20 NVL16 has no recorded launch price.

The H20 NVL16 wins in texture rate at 617.8 GTexel/s versus 126.0 GTexel/s, and in FP16 efficiency with a 2:1 ratio versus a 1:1 ratio. The Jetson T5000 wins in memory capacity, pixel rate, RT core availability, power draw, physical size, and PCIe interface width at x8 versus x16 for the H20 NVL16. Both parts share the same 5 nm process, the same manufacturer, the same API limitations (no DirectX, OpenGL, or Vulkan support), and the same production status of Active. The choice between them depends entirely on whether the workload prioritizes throughput or capacity per watt.