AMD Instinct MI350X vs NVIDIA RTX 6000D Comparison

Head-to-Head Benchmarks

The recorded data for the AMD Instinct MI350X contains no benchmark entries, while the NVIDIA RTX 6000D carries two measured scores. The RTX 6000D achieves a 3DMark Steel Nomad DX12 score of 3,522 and a Geekbench OpenCL score of 388,405. The MI350X, by contrast, has an average benchmark score of zero with no individual test results logged, leaving no direct numerical comparison possible between the two cards in the database.

The RTX 6000D's average benchmark score of 195,964 places it in the 98th percentile of all GPUs in the database. Its nearest rivals, as recorded, are the NVIDIA Tesla V100S PCIe 32 GB at 194,415 (0.8% behind), the NVIDIA A100 SXM4 40 GB at 187,147 (4.7% behind), and the NVIDIA RTX 5000 Ada Generation at 184,664 (6.1% behind). The RTX 6000D also leads the NVIDIA A100 PCIe 80 GB, which scores 207,124, a 5.4% advantage for the A100 variant. These deltas show the RTX 6000D sits within a tight band of high-end accelerators, slightly ahead of most but narrowly behind one A100 configuration.

The AMD Instinct MI350X holds a 50th percentile ranking across all GPUs, with an average benchmark score of zero. This percentile value, combined with the absence of recorded tests, indicates the database has no measured performance data for the MI350X. The RTX 6000D, with its 98th percentile placement, has a clear recorded performance advantage in the available data, though this comparison is limited by the MI350X's lack of entries.

The Verdict

From the data as recorded, the NVIDIA RTX 6000D is the only card of the two with any benchmark results. The RTX 6000D shows a 0.8% lead over the Tesla V100S PCIe 32 GB, a 4.7% lead over the A100 SXM4 40 GB, and a 6.1% lead over the RTX 5000 Ada Generation. Its 98th percentile ranking versus the MI350X's 50th percentile underscores the gap in recorded performance, but this stems from missing MI350X data rather than a direct head-to-head result.

The MI350X's zero average score and empty benchmark list mean the database cannot confirm its performance relative to the RTX 6000D. The RTX 6000D, with its 195,964 average score and two logged tests, is the only card with verifiable measurements. For users relying on recorded data, the RTX 6000D is the sole option with demonstrated results.

FAQ

Q: Which card has a higher recorded average benchmark score?

A: The NVIDIA RTX 6000D has an average benchmark score of 195,964, while the AMD Instinct MI350X has an average benchmark score of 0.

Q: How does the RTX 6000D compare to its nearest rival, the Tesla V100S PCIe 32 GB?

A: The RTX 6000D scores 195,964, which is 0.8% higher than the Tesla V100S PCIe 32 GB's 194,415.

Q: What is the RTX 6000D's percentile ranking among all GPUs?

A: The RTX 6000D is in the 98th percentile of all GPUs in the database.

Q: Does the MI350X have any recorded benchmark results?

A: No, the MI350X has an empty benchmark list and an average benchmark score of 0.

Q: Which GPU has a higher FP32 performance figure?

A: The RTX 6000D is rated at 97.04 TFLOPS FP32, while the MI350X is rated at 72.09 TFLOPS FP32.

Q: What is the memory bandwidth difference between the two cards?

A: The MI350X has 8.19 TB/s of bandwidth, compared to the RTX 6000D's 1.40 TB/s.

Specification Differences

The two cards differ across nearly every recorded specification. The AMD Instinct MI350X uses an MI350 256CU chip built on CDNA 4.0 architecture, while the NVIDIA RTX 6000D uses a GB202 chip on Blackwell 2.0 architecture. The MI350X is fabricated on a 3 nm process, while the RTX 6000D uses a 5 nm process; both are produced by TSMC. Transistor counts differ substantially: the MI350X has 185,000 million transistors, the RTX 6000D has 92,200 million. The MI350X die is 2380 mm² versus 750 mm² for the RTX 6000D, with transistor densities of 77.7M per mm² and 122.9M per mm² respectively.

Memory configurations are strongly divergent. The MI350X offers 288 GB of HBM3e on an 8192-bit bus with 8.19 TB/s bandwidth, while the RTX 6000D provides 84 GB of GDDR7 on a 448-bit bus with 1.40 TB/s bandwidth. Clock speeds also differ: the MI350X runs at 1000 MHz base and 2200 MHz boost, whereas the RTX 6000D runs at 1992 MHz base and 2430 MHz boost. Memory clocks are 2000 MHz (8 Gbps effective) for the MI350X and 1560 MHz (25 Gbps effective) for the RTX 6000D.

The MI350X has 16,384 shading units, 1,024 TMUs, and 0 ROPs, while the RTX 6000D has 19,968 shading units, 624 TMUs, and 192 ROPs. The RTX 6000D includes 156 ray tracing cores and 624 tensor cores; the MI350X lists no RT or tensor core counts. Pixel rate is 0 MPixel/s for the MI350X versus 466.6 GPixel/s for the RTX 6000D. Texture rates are 2,252.8 GTexel/s for the MI350X and 1,516.3 GTexel/s for the RTX 6000D. FP32 and FP16 figures are 72.09 TFLOPS for the MI350X and 97.04 TFLOPS for the RTX 6000D, both at 1:1 ratios.

Power and physical specifications diverge as well. The MI350X has a 1000 W TDP with no power connectors and a suggested PSU of 1400 W, while the RTX 6000D has a 600 W TDP, a single 16-pin connector, and a suggested PSU of 1000 W. The MI350X is an OAM module measuring 102 mm by 165 mm, while the RTX 6000D is a dual-slot card at 304 mm by 137 mm by 40 mm. The RTX 6000D offers 4x DisplayPort 2.1b outputs; the MI350X has no display outputs. API support differs: the RTX 6000D supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, while the MI350X lists N/A for all three. Release dates are 2025-06-11 for the MI350X and 2025-07-13 for the RTX 6000D. The RTX 6000D has a launch MSRP of 8,565 USD; the MI350X has no recorded launch MSRP.

Architecture Differences

The MI350X uses CDNA 4.0, AMD's compute-oriented architecture, with an MI350 256CU chip and a 3 nm TSMC process. Its 185,000 million transistors are spread across a 2380 mm² die, yielding a transistor density of 77.7M per mm². The memory subsystem uses HBM3e, providing 288 GB across an 8192-bit bus. The design has no ROPs, no display outputs, and no API support, indicating a pure compute accelerator. The MI350X's predecessor is the Radeon Instinct line, and it belongs to the Instinct (MIx) generation.

The RTX 6000D uses Blackwell 2.0 architecture with a GB202 chip on a 5 nm TSMC process. It packs 92,200 million transistors into a 750 mm² die, giving a higher transistor density of 122.9M per mm². Memory is GDDR7, with 84 GB on a 448-bit bus. The RTX 6000D includes 156 ray tracing cores and 624 tensor cores, features absent from the MI350X's recorded specifications. It supports modern graphics APIs, including DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, and provides four DisplayPort 2.1b outputs. The RTX 6000D is part of the GeForce 60-series and Blackwell PRO W (x000) generation, with the Workstation Ada line as its predecessor. Its production status is listed as Active.

The architecture split is clear: the MI350X prioritizes raw memory capacity and bandwidth for compute workloads, while the RTX 6000D integrates graphics features, higher clock speeds, and a denser transistor layout. The MI350X's larger die and higher transistor count target scale-out compute, whereas the RTX 6000D's smaller die with higher density balances compute and graphics capability.

Where Each One Wins

Based on recorded data, the NVIDIA RTX 6000D wins in every measurable performance category. It holds the only benchmark scores in the comparison: 3,522 in 3DMark Steel Nomad DX12 and 388,405 in Geekbench OpenCL. Its average score of 195,964 and 98th percentile ranking outclass the MI350X's zero score and 50th percentile placement. The RTX 6000D also leads in FP32 and FP16 throughput at 97.04 TFLOPS, shading units at 19,968, pixel rate at 466.6 GPixel/s, and clock speeds with a 2430 MHz boost.

The AMD Instinct MI350X wins on memory-focused specifications. It provides 288 GB of HBM3e versus 84 GB of GDDR7, a 8192-bit bus versus 448-bit, and 8.19 TB/s of bandwidth versus 1.40 TB/s. It also has more TMUs (1,024 versus 624) and a higher texture rate (2,252.8 GTexel/s versus 1,516.3 GTexel/s). The MI350X's larger die and higher transistor count indicate a design aimed at memory-bound tasks, even though no benchmark data confirms this.

For a practical split: the RTX 6000D is the choice where measured performance, graphics features, and software ecosystem matter, given its recorded wins and API support. The MI350X is the choice where memory capacity and bandwidth dominate, such as large model inference or data-intensive workloads, based on its raw specifications. The database's lack of MI350X benchmarks leaves its real-world standing unverified, so any advantage for the AMD card rests solely on its memory subsystem figures.