AMD Instinct MI300 vs NVIDIA GeForce RTX 4060 Ti AD104 Comparison

AMD Instinct MI300 and NVIDIA GeForce RTX 4060 Ti AD104 occupy opposite ends of the hardware spectrum, one a compute-oriented accelerator with no display outputs and the other a consumer graphics card built for rendering and gaming. The recorded data shows that these two products share the same 5 nm TSMC process node, yet their design goals diverge sharply in nearly every measurable specification. Benchmark results indicate that the MI300 is engineered for massive parallel throughput, while the RTX 4060 Ti AD104 prioritizes efficiency, rasterization, and feature completeness for desktop workloads.

Where Each One Wins

The AMD Instinct MI300 wins in raw compute density and memory capacity. It delivers 47.87 TFLOPS of FP32 performance, more than double the 22.06 TFLOPS of the RTX 4060 Ti AD104. Its FP16 throughput also sits at 47.87 TFLOPS with a 1:1 ratio, matching the FP32 rate, which is a typical configuration for accelerators used in AI and scientific workloads. The MI300 has 14080 shading units versus 4352 on the RTX 4060 Ti AD104, 880 texture mapping units versus 136, and a texture rate of 1,496.0 GTexel/s, roughly 4.3 times the 344.8 GTexel/s of the NVIDIA part. Memory is the clearest differentiator: 128 GB of HBM3 across an 8192-bit bus delivers 5.32 TB/s of bandwidth, whereas the RTX 4060 Ti AD104 offers 8 GB of GDDR6 on a 128-bit bus at 288.0 GB/s. The MI300 also uses a PCIe 5.0 x16 interface, while the RTX 4060 Ti AD104 uses PCIe 4.0 x8.

The NVIDIA GeForce RTX 4060 Ti AD104 wins in pixel processing, display functionality, and power efficiency. Its pixel rate is 121.7 GPixel/s, while the MI300 records 0 MPixel/s because it has no ROPs and no display outputs. The RTX 4060 Ti AD104 includes 48 ROPs, 34 RT cores, and 136 tensor cores, none of which are present on the MI300. It supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, while the MI300 lists N/A for all three APIs. The RTX 4060 Ti AD104 also has a much lower thermal design power of 160 W versus 600 W for the MI300, and its suggested power supply is 450 W versus 1000 W. The NVIDIA card features 1x HDMI 2.1 and 3x DisplayPort 1.4a outputs, enabling direct display connection, whereas the MI300 has no outputs at all.

Architecture Differences

The MI300 is built on the CDNA 3.0 architecture, codenamed Aqua Vanjaram, part of the Instinct (MIx) generation. It uses a massive die of 1017 mm² with 153,000 million transistors, resulting in a transistor density of 150.4M per mm². The chip operates at a base clock of 1000 MHz and a boost clock of 1700 MHz, with memory clocked at 1300 MHz or 5.2 Gbps effective. It is a dual-slot card in terms of physical dimensions, measuring 267 mm in length and 111 mm in height, with a 2x 8-pin power connector configuration. The accelerator is intended for server environments, evidenced by its lack of display outputs and its N/A API support, meaning it does not expose traditional graphics APIs for consumer use.

The RTX 4060 Ti AD104 belongs to the Ada Lovelace architecture, part of the GeForce 40-series generation. Its die is 294 mm² with 35,800 million transistors, a density of 121.8M per mm². Base clock is 2310 MHz, boost clock is 2535 MHz, and memory runs at 2250 MHz or 18 Gbps effective. The card is dual-slot as well, with dimensions of 240 mm length, 111 mm height, and 40 mm width, using a single 16-pin power connector. It is a consumer product with full graphics API support, a production status of end-of-life, and a launch MSRP of 399 USD. The RTX 4060 Ti AD104 also includes dedicated hardware for ray tracing and tensor operations, which the MI300 completely lacks.

The transistor counts reveal a stark scale difference. The MI300 packs over four times the transistors of the RTX 4060 Ti AD104, and its die area is nearly 3.5 times larger. The higher transistor density of the MI300 (150.4M per mm² versus 121.8M per mm²) suggests a more compact logic layout per area, despite the overall massive size. Clock speeds favor the NVIDIA part, with a boost clock of 2535 MHz versus 1700 MHz, but the MI300 compensates with far more execution units.

Head-to-Head Benchmarks

The recorded database contains no direct head-to-head benchmark scores, and both products show zero wins in the winsA and winsB fields. The avgBenchmarkScore for each is 0, and the percentileVsAllGpus is 50 for both, indicating they sit at the median of the full GPU database, though this percentile is based on the database's own scoring that has not been populated with actual results for these entries.

Instead, the comparison must rely on the specification-derived performance metrics. In FP32 compute, the MI300 delivers 47.87 TFLOPS, which is 117% higher than the 22.06 TFLOPS of the RTX 4060 Ti AD104. This means the MI300 processes more than twice the floating-point operations per second in single precision. The texture rate follows a similar pattern: 1,496.0 GTexel/s versus 344.8 GTexel/s, a 4.3x advantage for the AMD accelerator. Memory bandwidth is the largest gap, with 5.32 TB/s versus 288.0 GB/s, a factor of roughly 18.5x in favor of the MI300, enabled by the 8192-bit bus versus 128-bit.

The RTX 4060 Ti AD104 counters in pixel throughput. Its 121.7 GPixel/s is a functional rate, while the MI300 records 0 MPixel/s due to having no ROPs. This means the NVIDIA card can output rendered frames to a display, while the MI300 cannot produce any pixel output at all. The RTX 4060 Ti AD104 also has a higher base clock of 2310 MHz versus 1000 MHz, and a higher boost clock of 2535 MHz versus 1700 MHz, which contributes to its responsiveness in latency-sensitive tasks. Power consumption is another clear win: 160 W versus 600 W, meaning the NVIDIA part uses only about 27% of the power for a fraction of the compute capability.

The FP16 performance of both products is identical to their FP32 rates (47.87 TFLOPS for the MI300, 22.06 TFLOPS for the RTX 4060 Ti AD104), indicating no separate tensor-core acceleration path on the MI300, whereas the RTX 4060 Ti AD104 has 136 tensor cores that are not reflected in its FP32 or FP16 TFLOPS figures but are dedicated to AI workloads.

FAQ

Q: Which product has more memory bandwidth?

A: The AMD Instinct MI300 has 5.32 TB/s of bandwidth from 128 GB of HBM3 across an 8192-bit bus, while the NVIDIA GeForce RTX 4060 Ti AD104 has 288.0 GB/s from 8 GB of GDDR6 on a 128-bit bus.

Q: Can the AMD Instinct MI300 output video to a monitor?

A: No, the MI300 has no display outputs and records a pixel rate of 0 MPixel/s, with N/A for DirectX, OpenGL, and Vulkan support, making it unsuitable for direct visual output.

Q: What is the power requirement difference?

A: The MI300 has a TDP of 600 W and suggests a 1000 W power supply, while the RTX 4060 Ti AD104 has a TDP of 160 W and suggests a 450 W power supply.

Q: Does the RTX 4060 Ti AD104 support ray tracing?

A: Yes, the RTX 4060 Ti AD104 includes 34 RT cores and 136 tensor cores, and supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, whereas the MI300 lists no RT or tensor cores and no API support.

Q: Which product has a larger physical die?

A: The MI300 has a die size of 1017 mm² with 153,000 million transistors, compared to the RTX 4060 Ti AD104's 294 mm² die with 35,800 million transistors.

Q: What are the clock speed differences?

A: The MI300 runs at a base clock of 1000 MHz and boost of 1700 MHz, while the RTX 4060 Ti AD104 runs at a base of 2310 MHz and boost of 2535 MHz.

The Verdict

The recorded data makes it clear that these two products serve entirely separate purposes. The AMD Instinct MI300 is a high-throughput compute accelerator with no display capability, designed for workloads that demand massive memory capacity and bandwidth, such as large-scale AI training or scientific simulations. Its 128 GB of HBM3 and 5.32 TB/s bandwidth, combined with 47.87 TFLOPS of FP32 and FP16, position it as a server-class part. The lack of ROPs, RT cores, tensor cores, and any graphics API support means it cannot function as a conventional GPU for rendering or gaming.

The NVIDIA GeForce RTX 4060 Ti AD104 is a consumer graphics card with full display outputs, ray tracing, and tensor cores. Its 121.7 GPixel/s pixel rate, 48 ROPs, and support for DirectX 12 Ultimate make it suitable for gaming and workstation graphics. Its 160 W TDP and 450 W suggested power supply indicate a far lower system requirement. The launch MSRP of 399 USD reflects its mainstream positioning.

For compute density per watt, the RTX 4060 Ti AD104 delivers 22.06 TFLOPS at 160 W, while the MI300 delivers 47.87 TFLOPS at 600 W, meaning the NVIDIA card achieves roughly 0.138 TFLOPS per watt versus 0.080 TFLOPS per watt for the AMD part. In memory bandwidth per watt, the MI300 provides 5.32 TB/s at 600 W, or 8.87 GB/s per watt, versus 288.0 GB/s at 160 W, or 1.8 GB/s per watt, favoring the MI300. The choice hinges on the task: the MI300 for bulk data processing and the RTX 4060 Ti AD104 for interactive graphics and efficient rendering. The database shows no benchmark overlaps, so any performance comparison must rest on these architectural and specification differences, which point to two distinct market segments with no direct competition.