AMD Instinct MI350X vs NVIDIA Jetson T4000 Comparison

The AMD Instinct MI350X and NVIDIA Jetson T4000 occupy opposite ends of the accelerated computing spectrum, yet both are recorded in the database as server-class parts with no display outputs and no graphics API support. The MI350X is a 1000 W OAM module built on CDNA 4.0, while the Jetson T4000 is a 90 W IGP on Blackwell. Their benchmark scores are both zero, and each sits at the 50th percentile of all GPUs, but the underlying specifications reveal a massive divergence in compute, memory, and physical design. This analysis draws solely on recorded data to compare the two.

Head-to-Head Benchmarks

The database lists no head-to-head benchmark entries for these two accelerators, and neither part has any recorded benchmark scores. The wins column shows zero for both. This absence of direct measurements means the comparison must rely entirely on the specification-level data captured in the database.

The most striking numerical gap appears in raw compute throughput. The MI350X delivers 72.09 TFLOPS for both FP32 and FP16, with the FP16 figure explicitly noted as 1:1 with FP32. The Jetson T4000 delivers 4.700 TFLOPS for FP32 and 4.700 TFLOPS for FP16, also at a 1:1 ratio. The AMD part is therefore 15.3 times faster in FP32 and 15.3 times faster in FP16, a ratio derived directly from the recorded figures.

Memory capacity and bandwidth follow a similar pattern. The MI350X carries 288 GB of HBM3e across an 8192-bit bus, yielding 8.19 TB/s of bandwidth. The Jetson T4000 has 64 GB of LPDDR5X on a 256-bit bus, producing 273.2 GB/s. The MI350X offers 4.5 times the capacity and exactly 30 times the bandwidth when dividing 8.19 TB/s by 273.2 GB/s.

Texture throughput shows the same direction. The MI350X reaches 2,252.8 GTexel/s, while the Jetson T4000 manages 73.44 GTexel/s, a 30.7 times difference. Pixel rate, however, flips the comparison: the MI350X records 0 MPixel/s, while the Jetson T4000 produces 24.48 GPixel/s. The MI350X has no ROPs, whereas the Jetson T4000 includes 16 ROPs, which explains this divergence in the recorded data.

Clock speeds tell a different story. The Jetson T4000 runs at a fixed 1530 MHz for both base and boost, while the MI350X starts at 1000 MHz base and boosts to 2200 MHz. The NVIDIA part operates at a higher minimum frequency, but the AMD part has a higher ceiling. Memory clocks also differ: the MI350X runs at 2000 MHz with 8 Gbps effective, while the Jetson T4000 runs at 1067 MHz with 8.5 Gbps effective.

The Verdict

The data indicates two different deployment profiles. The MI350X is built for maximum throughput in dense compute environments, given its 1000 W thermal envelope, 288 GB HBM3e, and 72.09 TFLOPS. The Jetson T4000, at 90 W and 64 GB, is suited for embedded or edge scenarios where power and physical space are constrained.

Neither part has a benchmark score, so the verdict cannot rest on measured performance. The specification data, however, clearly favors the MI350X for any workload that scales with FP32/FP16 throughput, memory bandwidth, or texture rate. The Jetson T4000 wins on pixel rate, base clock, and power envelope. It also includes ray tracing cores (12) and tensor cores (64), which the MI350X does not list, suggesting the NVIDIA part targets graphics-adjacent or AI inference workloads that the AMD part does not cover.

The 50th percentile ranking for both is an artifact of zero benchmark scores, not a statement of relative competence. The recorded data shows a 15.3 times FP32 advantage for AMD, a 30 times bandwidth advantage, and a 4.5 times memory capacity advantage. Those deltas are decisive for compute-heavy use cases.

Architecture Differences

The MI350X uses CDNA 4.0, AMD's compute-focused architecture, built on a 3 nm process at TSMC. The Jetson T4000 uses NVIDIA's Blackwell architecture, also fabricated by TSMC but on a 5 nm node. The MI350X die measures 2380 mm² and contains 185,000 million transistors, with a transistor density of 77.7M per mm². The Jetson T4000 die is 391 mm², and its transistor count is listed as unknown in the database.

The MI350X chip is labeled "MI350 256CU," indicating 256 compute units, which aligns with its 16,384 shading units and 1,024 texture mapping units. It has zero ROPs, zero ray tracing cores, and no tensor core count listed. The Jetson T4000 chip is "GB10B" with 1,536 shading units, 48 TMUs, 16 ROPs, 12 ray tracing cores, and 64 tensor cores.

The MI350X reports no APIs for DirectX, OpenGL, or Vulkan, all listed as N/A. The Jetson T4000 also lists all three as N/A. Neither part has display outputs, reinforcing their compute-only or embedded positioning.

The memory architectures are fundamentally different. HBM3e on the MI350X provides 8.19 TB/s over 8192 bits, while LPDDR5X on the Jetson T4000 provides 273.2 GB/s over 256 bits. The MI350X memory clock is 2000 MHz with 8 Gbps effective, while the Jetson T4000 memory clock is 1067 MHz with 8.5 Gbps effective.

Specification Differences

The two parts differ in every major specification field except for a few shared attributes. Both use TSMC as the foundry, both have no display outputs, both list all graphics APIs as N/A, and both have no power connectors.

The thermal design power differs by an order of magnitude: 1000 W for the MI350X versus 90 W for the Jetson T4000. The suggested PSU follows suit, with 1400 W for the AMD part and 250 W for the NVIDIA part.

The bus interface differs: PCIe 5.0 x16 for the MI350X, PCIe 5.0 x8 for the Jetson T4000. The slot width is OAM Module for the AMD part and IGP for the NVIDIA part.

Physical dimensions diverge sharply. The MI350X is 102 mm in length and 165 mm in width, with no height recorded. The Jetson T4000 is 87 mm in length, 100 mm in height, and 15 mm in width. The AMD module is larger in two axes, while the NVIDIA part has a third dimension recorded.

Release dates differ by roughly seven months. The MI350X has a release date of 2025-06-11, while the Jetson T4000 is dated 2026-01-04. The production status is null for the AMD part and Active for the NVIDIA part.

The MI350X predecessor is Radeon Instinct, with no successor listed. The Jetson T4000 predecessor is Server Hopper, and its successor is Server Rubin. The Jetson T4000 has a launch MSRP of 1,999 USD, while the MI350X has no launch MSRP recorded.

The transistor density field is populated for the MI350X at 77.7M per mm², but null for the Jetson T4000. The pixel rate is 0 MPixel/s for the AMD part and 24.48 GPixel/s for the NVIDIA part.

FAQ

Q: Which accelerator has higher FP32 throughput?

A: The AMD Instinct MI350X delivers 72.09 TFLOPS FP32, compared to the NVIDIA Jetson T4000's 4.700 TFLOPS FP32. The MI350X is 15.3 times faster in this metric.

Q: What are the memory capacity and bandwidth differences?

A: The MI350X has 288 GB of HBM3e with 8.19 TB/s bandwidth on an 8192-bit bus. The Jetson T4000 has 64 GB of LPDDR5X with 273.2 GB/s bandwidth on a 256-bit bus. The MI350X offers 4.5 times the capacity and 30 times the bandwidth.

Q: Does either part support graphics APIs or display outputs?

A: Both list DirectX, OpenGL, and Vulkan as N/A, and both have no display outputs. Neither is designed for graphics rendering.

Q: Which part has ray tracing and tensor cores?

A: The NVIDIA Jetson T4000 includes 12 ray tracing cores and 64 tensor cores. The AMD MI350X does not list any ray tracing cores or tensor cores in the database.

Q: What is the power consumption difference?

A: The MI350X has a TDP of 1000 W with a suggested PSU of 1400 W. The Jetson T4000 has a TDP of 90 W with a suggested PSU of 250 W.

Q: When were these parts released?

A: The MI350X release date is 2025-06-11. The Jetson T4000 release date is 2026-01-04.

Where Each One Wins

The MI350X wins decisively on compute throughput, memory bandwidth, memory capacity, texture rate, and bus width. Its 72.09 TFLOPS FP16 and FP32 performance, 8.19 TB/s bandwidth, and 288 GB capacity make it the clear choice for large-scale training, scientific simulation, or any workload that saturates memory. The 8192-bit bus and 1,024 TMUs further reinforce its position as a high-bandwidth compute engine. The 3 nm process and 185,000 million transistors indicate a design optimized for density, not efficiency per watt.

The Jetson T4000 wins on pixel rate, base clock, and power efficiency. Its 24.48 GPixel/s pixel rate, enabled by 16 ROPs, is a capability the MI350X entirely lacks. The 1530 MHz fixed clock exceeds the MI350X's 1000 MHz base clock, though not its 2200 MHz boost. The 90 W TDP, 64 GB LPDDR5X, and 15 mm width position it for embedded systems, edge inference, or compact chassis where the MI350X's 1000 W and OAM form factor would be impossible to accommodate. The inclusion of tensor cores and ray tracing cores gives it architectural features the MI350X does not list, suggesting support for AI inference and real-time ray tracing workloads.

The data shows no overlap in design intent. The MI350X is a rack-scale compute accelerator with no ROPs and no graphics APIs, while the Jetson T4000 is a low-power embedded module with graphics-adjacent features. Any workload requiring FP32 or FP16 throughput above 4.7 TFLOPS must use the MI350X. Any workload requiring pixel output or operating under a 90 W envelope must use the Jetson T4000. The 30 times bandwidth gap and the 15.3 times compute gap are the defining differentiators in the recorded specifications.