AMD Radeon Pro W6600X vs NVIDIA A10G Comparison

The Verdict

The data separates these two cards into very different roles. The NVIDIA A10G is the compute-heavy server accelerator, built around the GA102 chip with 9,216 shading units and 24 GB of GDDR6 memory on a 384-bit bus. The AMD Radeon Pro W6600X is a smaller, more efficient Mac-oriented card with 2,048 shading units and 8 GB of memory on a 128-bit bus. If the workload is large-scale AI inference, data-parallel compute, or anything that demands massive memory capacity and raw FP32 throughput, the A10G is the clear choice. If the task is a lighter professional workload inside a Mac Pro ecosystem, the W6600X offers a much lower power draw at 120 W versus 150 W, but it gives up a substantial amount of compute performance. Benchmark results show the A10G at an average score of 151,963, placing it in the 97th percentile of all GPUs, while the W6600X averages 107,342, sitting in the 94th percentile. The A10G is not merely faster; it is roughly 41.6% higher in average benchmark score. The W6600X is for those constrained by Apple MPX compatibility and power limits, while the A10G is for those who need the highest compute density in a single-slot server form factor.

Architecture Differences

The A10G uses the Ampere architecture on Samsung's 8 nm process, packing 28,300 million transistors into a 628 mm² die. The W6600X uses RDNA 2.0 on TSMC's 7 nm process, with 11,060 million transistors on a 237 mm² die. Transistor density is nearly identical, 45.1M per mm² for the A10G and 46.7M per mm² for the W6600X, but the A10G's much larger die gives it a massive resource advantage. The A10G has 9,216 shading units, 288 texture mapping units, 96 ROPs, 72 RT cores, and 288 tensor cores. The W6600X has 2,048 shading units, 128 TMUs, 64 ROPs, and 32 RT cores, with no tensor cores at all. That absence of tensor cores matters for any AI or machine learning workload that relies on accelerated matrix math; the A10G's 288 tensor cores are a decisive architectural feature. The A10G also delivers FP16 at 31.52 TFLOPS with a 1:1 ratio to FP32, while the W6600X delivers FP16 at 20.31 TFLOPS with a 2:1 ratio. Clock speeds differ significantly: the A10G runs at a 1320 MHz base and 1710 MHz boost, while the W6600X runs at a much higher 2068 MHz base and 2479 MHz boost. The W6600X compensates for fewer cores with higher clocks, but the core count gap is too large to overcome.

Head-to-Head Benchmarks

The database has no direct head-to-head benchmark entries between these two cards, so the comparison relies on their individual recorded scores. The A10G's strongest recorded result is in Geekbench OpenCL at 158,063, and it also posts 145,863 in Geekbench Vulkan. The W6600X's only recorded benchmark is Geekbench Metal at 107,342. That Metal score is the only data point for the AMD card, and it reflects its intended Mac ecosystem. The A10G's average benchmark score of 151,963 puts it 41.6% above the W6600X's 107,342 average. Looking at the A10G's nearest rivals, it sits 1.1% above the NVIDIA Tesla V100 PCIe 32 GB at 150,305, 5.4% below the AMD Radeon Pro W6800X at 160,671, 6.5% below the NVIDIA A100 PCIe 40 GB at 162,504, and 9.3% above the AMD Instinct MI100 at 139,035. The W6600X, by comparison, sits 0.6% above the AMD Radeon Pro Vega II Duo at 106,750, 2.1% below the AMD Radeon Pro Vega II at 109,617, 3.1% below the AMD Radeon PRO W7900 at 110,725, and 5.4% above the NVIDIA Quadro RTX 6000 at 101,872. The pattern is clear: the A10G competes in a higher performance class, while the W6600X sits in a lower tier where its nearest rivals are older or more specialized Mac-oriented cards.

Specification Differences

The two cards differ in nearly every major specification. The A10G has 24 GB of GDDR6 memory versus 8 GB for the W6600X. Memory bandwidth is 600.2 GB/s for the A10G versus 256.0 GB/s for the W6600X. The bus width is 384-bit versus 128-bit. FP32 compute is 31.52 TFLOPS versus 10.15 TFLOPS, a 3.1x advantage for the A10G. Pixel rate is 164.2 GPixel/s versus 158.7 GPixel/s, a smaller gap. Texture rate is 492.5 GTexel/s versus 317.3 GTexel/s. The A10G has a 150 W TDP and requires a 450 W suggested PSU, while the W6600X has a 120 W TDP and a 300 W suggested PSU. The A10G is single-slot with an 8-pin EPS power connector, while the W6600X is dual-slot. The A10G uses PCIe 4.0 x16, while the W6600X uses Apple MPX. Neither card has display outputs. Both are end-of-life products. The A10G launched on 2021-04-11, while the W6600X launched later on 2021-08-02. The W6600X carries a launch MSRP of 699 USD; the A10G has no recorded launch MSRP in the database. The A10G's memory runs at 1563 MHz with 12.5 Gbps effective, while the W6600X's memory runs at 2000 MHz with 16 Gbps effective. The A10G measures 267 mm in length and 112 mm in height; the W6600X has no recorded dimensions. The A10G has a predecessor in Tesla Turing and a successor in Server Ada; the W6600X has neither recorded.

FAQ

Q: Which card has more memory?

A: The NVIDIA A10G has 24 GB of GDDR6 memory, which is three times the 8 GB on the AMD Radeon Pro W6600X. The A10G also has a 384-bit memory bus versus 128-bit, giving it 600.2 GB/s of bandwidth compared to 256.0 GB/s.

Q: Which card performs better in compute workloads?

A: The A10G delivers 31.52 TFLOPS of FP32 compute, roughly 3.1 times the 10.15 TFLOPS of the W6600X. Its average benchmark score of 151,963 is 41.6% higher than the W6600X's 107,342.

Q: Is the W6600X more efficient?

A: Yes, the W6600X has a lower TDP at 120 W versus 150 W for the A10G, and it requires a 300 W suggested PSU versus 450 W. However, it also delivers far less compute performance per the recorded data.

Q: Do these cards have display outputs?

A: No. Both the NVIDIA A10G and the AMD Radeon Pro W6600X have no display outputs, making them unsuitable for direct monitor connection.

Q: Which card is better for AI workloads?

A: The A10G has 288 tensor cores and 24 GB of memory, while the W6600X has no tensor cores and only 8 GB of memory. The A10G's architecture is clearly better suited for AI and machine learning tasks.

Q: Are these cards still in production?

A: No. Both are listed as end-of-life products in the database.

Where Each One Wins

The NVIDIA A10G wins in almost every measurable performance category. It has 3.1 times the FP32 throughput, 2.35 times the texture fill rate, 1.03 times the pixel rate, and 2.35 times the memory bandwidth. Its 24 GB memory capacity is essential for large models or datasets that exceed 8 GB. The 288 tensor cores give it a category of capability that the W6600X simply does not have. The A10G's 97th percentile ranking versus the W6600X's 94th percentile confirms its higher standing in the overall GPU landscape. For server deployment, the single-slot design and PCIe 4.0 x16 interface make it a straightforward fit in standard servers, and the 8-pin EPS connector is a server-standard power input.

The AMD Radeon Pro W6600X wins in power efficiency and Mac ecosystem compatibility. Its 120 W TDP is 30 W lower than the A10G, and its 300 W suggested PSU is 150 W lower. The Apple MPX interface means it is designed specifically for Mac Pro systems, whereas the A10G has no display outputs and no Apple-specific interface. The W6600X also has a higher memory clock at 2000 MHz versus 1563 MHz, and a higher effective memory speed of 16 Gbps versus 12.5 Gbps, though the narrower bus limits its overall bandwidth. For a Mac Pro user with power constraints and workloads that fit within 8 GB of memory, the W6600X is the practical choice. For anyone building a server, running AI inference, or processing large datasets, the A10G is the only rational pick based on the recorded data. The W6600X's nearest rivals all sit within 5.4% of its score, indicating a tightly competitive low-to-mid range, while the A10G's rivals include much more powerful accelerators like the A100 and W6800X, showing it operates in a higher performance tier. The launch MSRP of 699 USD for the W6600X is a recorded data point, but the A10G has no such figure in the database, so no direct price comparison is possible from the available facts.