AMD Radeon PRO W6600 vs NVIDIA A10G Comparison

Head-to-Head Benchmarks

The benchmark data presents a decisive outcome: the NVIDIA A10G wins both recorded head-to-head tests, with the AMD Radeon PRO W6600 trailing by a substantial margin in each. In Geekbench OpenCL, the A10G scores 158,063 against the W6600's 73,514, a delta of 115% in favor of NVIDIA. The Vulkan test tells a similar story: the A10G records 145,863 while the W6600 manages 78,428, an 86% advantage for the NVIDIA card.

These are not marginal differences. The OpenCL result more than doubles the AMD card's output, and even the narrower Vulkan gap remains vast. The A10G's average benchmark score of 151,963 places it at the 97th percentile of all GPUs, whereas the W6600's average of 81,995 sits at the 92nd percentile. That percentile gap understates the raw performance chasm because percentiles compress at the top end; the raw scores show the A10G delivering roughly 85% more compute throughput on average.

Context from the nearest rivals reinforces the A10G's positioning. The NVIDIA card sits within 1.1% of the Tesla V100 PCIe 32 GB (average score 150,305) and trails the AMD Radeon Pro W6800X by 5.4% (160,671) and the A100 PCIe 40 GB by 6.5% (162,504). It also leads the AMD Instinct MI100 by 9.3%. The W6600, by contrast, clusters around older and smaller accelerators: it edges the Radeon Pro Vega 64X by 1.3%, the GeForce RTX 5090 by 2.7%, the Tesla P100 PCIe 16 GB by 3%, and the Tesla P100 PCIe 12 GB by 3.3%. The A10G competes at the high end of the accelerator tier, while the W6600 trades blows with previous-generation workstations.

Interpreting the head-to-head deltas requires accounting for the different workloads. OpenCL tends to favor raw compute throughput, and the A10G's 31.52 TFLOPS FP32 versus the W6600's 9.247 TFLOPS explains much of the 115% gap. Vulkan, more dependent on driver efficiency and geometry processing, narrows the delta to 86%, but the A10G still holds a commanding lead. The data shows no benchmark category where the W6600 closes the gap to a competitive level.

FAQ

Q: Which GPU wins in raw compute benchmarks?

A: The NVIDIA A10G wins both recorded benchmarks. It scores 158,063 in Geekbench OpenCL versus 73,514 for the AMD Radeon PRO W6600 (115% higher), and 145,863 in Geekbench Vulkan versus 78,428 (86% higher).

Q: How does each card compare to its nearest competitors?

A: The A10G's average score of 151,963 places it 1.1% above the Tesla V100 PCIe 32 GB, 5.4% below the Radeon Pro W6800X, and 6.5% below the A100 PCIe 40 GB. The W6600's average of 81,995 puts it 1.3% above the Radeon Pro Vega 64X, 2.7% above the GeForce RTX 5090, and 3.3% above the Tesla P100 PCIe 12 GB.

Q: What are the memory specifications of each card?

A: The A10G has 24 GB of GDDR6 on a 384-bit bus with 600.2 GB/s bandwidth. The W6600 has 8 GB of GDDR6 on a 128-bit bus with 224.0 GB/s bandwidth.

Q: Do both cards support the same graphics APIs?

A: Yes. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: What is the power consumption difference?

A: The A10G has a TDP of 150 W with a suggested PSU of 450 W, while the W6600 has a TDP of 100 W with a suggested PSU of 300 W. Both are single-slot cards.

Q: Which card has display outputs?

A: Only the W6600 has display outputs: 4x DisplayPort 1.4a. The A10G has no display outputs, indicating it is designed for compute or server use.

Architecture Differences

The two GPUs come from fundamentally different design philosophies. The NVIDIA A10G uses the GA102 chip built on Ampere architecture, manufactured on Samsung's 8 nm process. It packs 28,300 million transistors into a 628 mm² die, yielding a transistor density of 45.1 million per mm². The AMD Radeon PRO W6600 uses the Navi 23 chip based on RDNA 2.0, built on TSMC's 7 nm process. It contains 11,060 million transistors on a 237 mm² die, with a density of 46.7 million per mm². The process node advantage belongs to AMD, but the sheer scale of the NVIDIA chip overwhelms that edge.

The compute resources differ by an order of magnitude. The A10G carries 9,216 shading units, 288 TMUs, 96 ROPs, 72 RT cores, and 288 tensor cores. The W6600 has 1,792 shading units, 112 TMUs, 64 ROPs, and 28 RT cores, with no tensor cores at all. The tensor core absence is critical: the A10G is built for AI inference and training workloads that rely on tensor operations, while the W6600 has no equivalent hardware.

Clock behavior reflects their different roles. The A10G runs at a 1320 MHz base and 1710 MHz boost, while the W6600 runs much higher at 2331 MHz base and 2580 MHz boost. The AMD card's higher clocks partially compensate for its smaller compute array, but not enough: the A10G still delivers 31.52 TFLOPS FP32 against the W6600's 9.247 TFLOPS. In FP16, the A10G maintains a 1:1 ratio at 31.52 TFLOPS, while the W6600 achieves 18.49 TFLOPS through a 2:1 rate. The A10G's FP32 and FP16 parity indicates dedicated tensor hardware handling reduced precision, whereas the W6600's 2:1 ratio is a conventional packed-FP16 implementation.

Memory architecture also diverges sharply. The A10G's 384-bit bus with 24 GB GDDR6 provides 600.2 GB/s bandwidth. The W6600's 128-bit bus with 8 GB GDDR6 delivers 224.0 GB/s. The A10G's memory subsystem is nearly three times wider and offers over 2.5 times the bandwidth, which matters for large datasets and multi-stream workloads. The W6600's smaller memory pool limits its ability to hold large models or scenes in VRAM.

Pixel and texture rates show a mixed picture. The A10G achieves 164.2 GPixel/s pixel rate and 492.5 GTexel/s texture rate. The W6600 posts 165.1 GPixel/s pixel rate, essentially identical, but only 289.0 GTexel/s texture rate. The pixel rate parity is notable: the W6600's higher clocks compensate for fewer ROPs, but its texture throughput lags by roughly 41%.

Specification Differences

The recorded specifications reveal differences in nearly every category. The A10G uses a GA102 chip on 8 nm Samsung process with 28,300 million transistors on a 628 mm² die. The W6600 uses Navi 23 on 7 nm TSMC process with 11,060 million transistors on a 237 mm² die. Transistor density is close (45.1M vs 46.7M per mm²), but total resources differ vastly.

Clock speeds favor AMD: the W6600 boosts to 2580 MHz versus the A10G's 1710 MHz, with base clocks of 2331 MHz versus 1320 MHz. Memory clocks also differ: the A10G runs at 1563 MHz (12.5 Gbps effective), while the W6600 runs at 1750 MHz (14 Gbps effective). Despite the higher memory clock, the W6600's 128-bit bus yields 224.0 GB/s versus the A10G's 600.2 GB/s.

Compute unit counts are heavily lopsided. The A10G has 9,216 shading units, 288 TMUs, 96 ROPs, 72 RT cores, and 288 tensor cores. The W6600 has 1,792 shading units, 112 TMUs, 64 ROPs, and 28 RT cores, with no tensor cores. FP32 output: 31.52 TFLOPS versus 9.247 TFLOPS. FP16: 31.52 TFLOPS (1:1) versus 18.49 TFLOPS (2:1). The A10G also leads in texture rate (492.5 vs 289.0 GTexel/s) but the W6600 slightly edges pixel rate (165.1 vs 164.2 GPixel/s).

Power and physical specs differ meaningfully. The A10G draws 150 W TDP with an 8-pin EPS connector and 450 W suggested PSU, measuring 267 mm in length. The W6600 draws 100 W TDP with a 6-pin connector and 300 W suggested PSU, measuring 241 mm. Both are single-slot. The A10G uses PCIe 4.0 x16, while the W6600 uses PCIe 4.0 x8. Display outputs: the W6600 has 4x DisplayPort 1.4a, the A10G has none.

Release timing is close: the A10G launched on 2021-04-11, the W6600 on 2021-06-07. Both are end-of-life. The A10G's predecessor is Tesla Turing and successor is Server Ada; the W6600's predecessor is Radeon Pro Vega with no successor listed. The W6600 has a launch MSRP of 649 USD.

The Verdict

The data supports a clear split: the NVIDIA A10G is the superior compute accelerator, while the AMD Radeon PRO W6600 serves a different role entirely. The A10G wins both head-to-head benchmarks by 115% and 86%, holds a 24 GB versus 8 GB memory advantage, delivers 3.4 times the FP32 throughput, and includes tensor cores absent from the W6600. Its 97th percentile ranking versus the W6600's 92nd confirms the tier gap. Any workload that stresses raw compute, large memory footprints, or AI operations should choose the A10G without hesitation.

The W6600 is not without merit, but its strengths lie outside the compute benchmarks recorded here. It has display outputs, which the A10G lacks entirely. Its lower TDP of 100 W versus 150 W and smaller 241 mm length make it easier to integrate into workstations. Its pixel rate is effectively identical to the A10G despite far fewer ROPs, which suggests it handles rasterization-oriented tasks more efficiently per unit of silicon. For professional visualization with multiple monitors, the W6600 is the only viable option between these two because the A10G cannot drive a display at all.

The verdict depends on the use case. For headless compute, AI inference, or any server deployment, the A10G is the clear winner, and the benchmark scores make that unambiguous. For a workstation with direct display output, the W6600 is the functional choice, though its compute performance is dramatically lower. There is no scenario where the W6600 outperforms the A10G in the recorded benchmarks, but there are scenarios where the A10G cannot operate at all due to its lack of display outputs.

Where Each One Wins

NVIDIA A10G wins in: raw compute performance (158,063 vs 73,514 OpenCL, 145,863 vs 78,428 Vulkan), memory capacity (24 GB vs 8 GB), memory bandwidth (600.2 GB/s vs 224.0 GB/s), FP32 throughput (31.52 vs 9.247 TFLOPS), FP16 throughput at 1:1 ratio (31.52 TFLOPS), tensor core acceleration (288 cores vs none), texture rate (492.5 vs 289.0 GTexel/s), and PCIe bandwidth (x16 vs x8). Its 97th percentile ranking and average score of 151,963 place it among high-end accelerators like the A100 and Radeon Pro W6800X.

AMD Radeon PRO W6600 wins in: display connectivity (4x DisplayPort 1.4a vs none), power efficiency (100 W TDP vs 150 W TDP, 300 W suggested PSU vs 450 W), physical size (241 mm vs 267 mm length), pixel rate (165.1 vs 164.2 GPixel/s), and clock speeds (2580 MHz boost vs 1710 MHz boost). Its higher transistor density (46.7M vs 45.1M per mm²) and 7 nm TSMC process versus 8 nm Samsung indicate a more modern manufacturing approach. The 92nd percentile ranking still places it above most GPUs, and its average score of 81,995 compares favorably to the Radeon Pro Vega 64X and Tesla P100 variants.

The use-case split follows the hardware: the A10G belongs in servers and compute clusters where display output is irrelevant and maximum throughput is paramount. The W6600 belongs in professional workstations where multiple displays, lower power draw, and compact dimensions matter more than raw compute. Neither card is a substitute for the other; their feature sets are complementary rather than competitive.