NVIDIA B200 SXM6 vs NVIDIA Jetson T4000 Comparison

The Verdict

The NVIDIA B200 SXM6 and NVIDIA Jetson T4000 occupy opposite ends of the Blackwell server spectrum. The B200 SXM6 is a full-scale accelerator module designed for maximum compute throughput, while the Jetson T4000 is a compact embedded IGP for edge deployments. The data shows a 14.75x difference in FP32 throughput (69.34 TFLOPS versus 4.700 TFLOPS), a 30x difference in memory bandwidth (8.19 TB/s versus 273.2 GB/s), and a 2.8x difference in memory capacity (180 GB versus 64 GB). The B200 SXM6 delivers 14.75x the FP32 performance of the Jetson T4000, while consuming 11.1x the power (1000 W versus 90 W). The Jetson T4000 counters with a 12.75x higher base clock (1530 MHz versus 120 MHz), a 391 mm² die that is 4.16x smaller than the B200's 1628 mm², and a physically compact 87 mm by 100 mm by 15 mm form factor. The verdict is straightforward: the B200 SXM6 exists for data center workloads that demand absolute throughput, while the Jetson T4000 serves power-constrained, space-constrained environments where 90 W and an IGP slot are the hard limits. The B200 SXM6 also carries a launch MSRP of 34,999 USD, while the Jetson T4000 has a launch MSRP of 1,999 USD. Neither part shows any benchmark wins in the database, and both sit at the 50th percentile versus all GPUs with an average benchmark score of zero. The B200 SXM6 is the choice for training and inference at scale; the Jetson T4000 is the choice for embedded inference where the 90 W envelope is non-negotiable.

Architecture Differences

Both chips share the Blackwell architecture and the 5 nm TSMC process node, but the internal designs diverge sharply. The B200 SXM6 uses the GB100 chip with 208,000 million transistors on a 1628 mm² die, yielding a transistor density of 127.8M per mm². The Jetson T4000 uses the GB10B chip on a 391 mm² die, which is 4.16x smaller, and its transistor count is unknown in the database. The B200 SXM6 packs 18,944 shading units, 592 TMUs, 24 ROPs, and 592 tensor cores. The Jetson T4000 has 1,536 shading units, 48 TMUs, 16 ROPs, 12 RT cores, and 64 tensor cores. The B200 SXM6 has 12.33x the shading units, 12.33x the TMUs, and 9.25x the tensor cores. The Jetson T4000 is the only one of the two with RT cores. The B200 SXM6 has no RT core count listed. The memory subsystems are fundamentally different: the B200 SXM6 uses HBM3e on an 8192-bit bus with 8.19 TB/s bandwidth, while the Jetson T4000 uses LPDDR5X on a 256-bit bus with 273.2 GB/s bandwidth. The B200 SXM6 has a 32x wider memory bus. Clock behavior also differs: the B200 SXM6 has a 120 MHz base clock and an 1830 MHz boost clock, while the Jetson T4000 runs at a fixed 1530 MHz for both base and boost. The B200 SXM6 has a 300 MHz higher boost clock, but the Jetson T4000 has a 12.75x higher base clock. The B200 SXM6 uses a 1000 W envelope with a 1400 W suggested PSU, while the Jetson T4000 fits in a 90 W envelope with a 250 W suggested PSU. The B200 SXM6 connects via PCIe 6.0 x16, while the Jetson T4000 uses PCIe 5.0 x8. The B200 SXM6 is an SXM module; the Jetson T4000 is an IGP. Both have no display outputs and no API support for DirectX, OpenGL, or Vulkan. The B200 SXM6 memory clock is 2000 MHz with 8 Gbps effective, while the Jetson T4000 memory clock is 1067 MHz with 8.5 Gbps effective, giving the Jetson a 6.25% higher effective memory clock despite the far narrower bus.

FAQ

Q: Which GPU has higher FP32 throughput?

A: The B200 SXM6 delivers 69.34 TFLOPS FP32, which is 14.75x the 4.700 TFLOPS of the Jetson T4000. The B200 SXM6 also matches this FP32 number in FP16 at 69.34 TFLOPS (1:1), while the Jetson T4000 also has a 1:1 FP16 to FP32 ratio at 4.700 TFLOPS.

Q: What is the memory capacity and bandwidth difference?

A: The B200 SXM6 has 180 GB of HBM3e with 8.19 TB/s bandwidth. The Jetson T4000 has 64 GB of LPDDR5X with 273.2 GB/s bandwidth. The B200 SXM6 has 2.8x the capacity and 30x the bandwidth.

Q: How do the physical sizes compare?

A: The B200 SXM6 is an SXM module with no listed dimensions. The Jetson T4000 has listed dimensions of 87 mm by 100 mm by 15 mm, and is an IGP. The Jetson T4000 die is 391 mm² versus 1628 mm² for the B200 SXM6, making the B200 die 4.16x larger.

Q: What are the power requirements?

A: The B200 SXM6 has a 1000 W TDP with a 1400 W suggested PSU. The Jetson T4000 has a 90 W TDP with a 250 W suggested PSU. The B200 SXM6 uses 11.1x the power of the Jetson T4000.

Q: Which GPU has ray tracing capability?

A: Only the Jetson T4000 lists RT cores, with 12 RT cores. The B200 SXM6 has no RT core count listed in the database.

Q: What are the bus interfaces?

A: The B200 SXM6 uses PCIe 6.0 x16, while the Jetson T4000 uses PCIe 5.0 x8. The B200 SXM6 has a wider and newer bus interface.

Specification Differences

The two GPUs differ in nearly every measurable specification. The chip differs: GB100 versus GB10B. The process node is the same at 5 nm, and both are TSMC foundry parts, but the transistor count differs: 208,000 million for the B200 SXM6 versus unknown for the Jetson T4000. The die size differs: 1628 mm² versus 391 mm². The B200 SXM6 has a transistor density of 127.8M per mm², while the Jetson T4000 has none listed. Base clock differs: 120 MHz versus 1530 MHz. Boost clock differs: 1830 MHz versus 1530 MHz. Memory clock differs: 2000 MHz with 8 Gbps effective versus 1067 MHz with 8.5 Gbps effective. Memory size differs: 180 GB versus 64 GB. Memory type differs: HBM3e versus LPDDR5X. Bus width differs: 8192 bit versus 256 bit. Bandwidth differs: 8.19 TB/s versus 273.2 GB/s. Shading units differ: 18,944 versus 1,536. TMUs differ: 592 versus 48. ROPs differ: 24 versus 16. RT cores differ: none listed versus 12. Tensor cores differ: 592 versus 64. Pixel rate differs: 43.92 GPixel/s versus 24.48 GPixel/s. Texture rate differs: 1,083.4 GTexel/s versus 73.44 GTexel/s. FP32 and FP16 both differ: 69.34 TFLOPS versus 4.700 TFLOPS. TDP differs: 1000 W versus 90 W. Slot width differs: SXM Module versus IGP. Power connectors differ: none listed versus None. Suggested PSU differs: 1400 W versus 250 W. Bus interface differs: PCIe 6.0 x16 versus PCIe 5.0 x8. Display outputs are the same: No outputs. APIs are the same: N/A for DirectX, OpenGL, and Vulkan. Dimensions differ: none listed for the B200 SXM6, versus 87 mm by 100 mm by 15 mm for the Jetson T4000. Production status is the same: Active. Release dates differ: 2024-10-31 for the B200 SXM6 versus 2026-01-04 for the Jetson T4000. Predecessor and successor are the same: Server Hopper and Server Rubin. Launch MSRP differs: 34,999 USD versus 1,999 USD. Both have no benchmarks, both have a 50th percentile versus all GPUs, and both have an average benchmark score of zero.

Head-to-Head Benchmarks

The database records no head-to-head benchmark entries for these two GPUs. With winsA set to zero and winsB set to zero, there are no measured performance comparisons to walk through. The available specifications, however, provide a clear quantitative picture. The B200 SXM6 leads in raw compute: 69.34 TFLOPS FP32 versus 4.700 TFLOPS, a 14.75x advantage. In FP16, the same 69.34 TFLOPS versus 4.700 TFLOPS ratio holds at 14.75x. In memory bandwidth, the B200 SXM6's 8.19 TB/s is 30x the Jetson T4000's 273.2 GB/s. In memory capacity, the B200 SXM6's 180 GB is 2.8x the Jetson T4000's 64 GB. In pixel rate, the B200 SXM6's 43.92 GPixel/s is 1.79x the Jetson T4000's 24.48 GPixel/s. In texture rate, the B200 SXM6's 1,083.4 GTexel/s is 14.75x the Jetson T4000's 73.44 GTexel/s. The Jetson T4000 counters with a 12.75x higher base clock (1530 MHz versus 120 MHz), a 6.25% higher effective memory clock (8.5 Gbps versus 8 Gbps), and a smaller die at 391 mm² versus 1628 mm². The Jetson T4000 also has RT cores while the B200 SXM6 has none listed. The B200 SXM6 has a 300 MHz higher boost clock (1830 MHz versus 1530 MHz). The B200 SXM6 has 12.33x the shading units and 12.33x the TMUs of the Jetson T4000. The B200 SXM6 has 9.25x the tensor cores of the Jetson T4000. The B200 SXM6 has a 32x wider memory bus than the Jetson T4000. These ratios define the performance landscape: the B200 SXM6 is a throughput monster, while the Jetson T4000 is a low-power embedded part with a much higher base clock and a fixed 1530 MHz operating point.

Where Each One Wins

The B200 SXM6 wins decisively in every compute-heavy category. Its 69.34 TFLOPS FP32 and FP16 throughput makes it the clear choice for large-scale training and inference workloads that need maximum floating-point performance. Its 8.19 TB/s memory bandwidth, 30x that of the Jetson T4000, allows it to feed 18,944 shading units and 592 tensor cores without bottleneck. Its 180 GB HBM3e capacity, 2.8x the Jetson's 64 GB, supports much larger model footprints and datasets. Its 1,083.4 GTexel/s texture rate and 43.92 GPixel/s pixel rate are 14.75x and 1.79x the Jetson's respective rates. The B200 SXM6 also has a newer bus interface, PCIe 6.0 x16 versus PCIe 5.0 x8, which doubles the lane count and moves to a newer generation. The B200 SXM6's 592 tensor cores give it a 9.25x advantage in tensor throughput, which matters for transformer and neural network workloads. Its 1000 W TDP and 1400 W suggested PSU reflect a data center design with no power constraints.

The Jetson T4000 wins in power efficiency and physical footprint. Its 90 W TDP is 11.1x lower than the B200 SXM6's 1000 W, and its 250 W suggested PSU is 5.6x lower. Its IGP form factor and 87 mm by 100 mm by 15 mm dimensions allow it to fit into embedded systems where an SXM module cannot go. Its 1530 MHz fixed clock is 12.75x higher than the B200 SXM6's 120 MHz base clock, which means for short, latency-sensitive tasks on a single core, the Jetson T4000 can respond faster. Its 12 RT cores provide ray tracing capability that the B200 SXM6 does not list, which could be useful for specific rendering or simulation workloads. Its 64 GB LPDDR5X memory is still substantial for embedded inference, and its 273.2 GB/s bandwidth is adequate for edge workloads. The Jetson T4000's 4.700 TFLOPS FP32 is 14.75x lower than the B200 SXM6, but for a 90 W envelope, that ratio is exceptional. The Jetson T4000 also has a 6.25% higher effective memory clock, which helps compensate for its 32x narrower bus. The Jetson T4000 wins in any scenario where the 1000 W power draw of the B200 SXM6 is impossible to supply, where the SXM module form factor is incompatible with the chassis, or where ray tracing cores are required. The B200 SXM6 wins in every scenario where raw throughput, memory bandwidth, and memory capacity are the binding constraints, which is the typical server AI workload. The data shows no overlap in use cases: the B200 SXM6 targets the data center rack, and the Jetson T4000 targets the embedded edge device.