AMD Instinct MI350P vs NVIDIA GeForce RTX 4070 AD103 Comparison

Head-to-Head Benchmarks

The recorded data contains no direct benchmark scores for either the AMD Instinct MI350P or the NVIDIA GeForce RTX 4070 AD103. Both entries show an average benchmark score of 0 and an identical percentile rank of 50 among all GPUs in the database. This means the two products cannot be ranked against each other through measured performance tests, as neither has accumulated any benchmark results in the database.

What the data does provide are computed specifications that indicate theoretical performance ceilings. The AMD Instinct MI350P delivers 36.04 TFLOPS of FP32 throughput, while the NVIDIA GeForce RTX 4070 AD103 delivers 29.15 TFLOPS. The Instinct MI350P holds a 23.6% advantage in raw FP32 compute. In FP16, both products again show a 1:1 ratio with their FP32 numbers, so the same 36.04 TFLOPS versus 29.15 TFLOPS gap persists. However, these are theoretical peak rates, not measured results, and the absence of benchmark data means no claim about real-world application performance can be made.

Texture rate favors the AMD part substantially: 1,126.4 GTexel/s versus 455.4 GTexel/s, a factor of approximately 2.5. The pixel rate comparison is one-sided, as the Instinct MI350P lists 0 MPixel/s (it has no ROPs), while the RTX 4070 AD103 produces 158.4 GPixel/s. The AMD accelerator is not designed for rasterization output, which explains this extreme difference.

Architecture Differences

The two chips come from different architectural lineages. The AMD Instinct MI350P uses the CDNA 4.0 architecture, built on a 3 nm process at TSMC. The chip, designated MI350 128CU, contains 73,000 million transistors on a 1,190 mm² die. Transistor density works out to 61.3 million transistors per mm². The NVIDIA GeForce RTX 4070 AD103 uses the Ada Lovelace architecture, built on a 5 nm process at TSMC. This die contains 45,900 million transistors on a 379 mm² package, giving a density of 121.1 million transistors per mm². The NVIDIA chip packs transistors more tightly, while the AMD chip uses a much larger die with more total transistors.

Compute resources differ sharply. The Instinct MI350P has 8,192 shading units and 512 texture mapping units, with zero ROPs. The RTX 4070 AD103 has 5,888 shading units, 184 TMUs, and 64 ROPs. The AMD design also lacks dedicated ray tracing cores and tensor cores, while the NVIDIA part carries 46 RT cores and 184 tensor cores. The AMD accelerator does not expose DirectX, OpenGL, or Vulkan APIs in the database, while the RTX 4070 AD103 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Memory architecture is where the products diverge most strongly. The Instinct MI350P uses 144 GB of HBM3e memory across an 8,192-bit bus, yielding 8.19 TB/s of bandwidth. The RTX 4070 AD103 uses 12 GB of GDDR6X on a 192-bit bus, providing 504.2 GB/s. The AMD part has 12 times the memory capacity and over 16 times the memory bandwidth. Clock behavior also differs: the AMD chip runs at a 1,000 MHz base and 2,200 MHz boost, with memory at 2,000 MHz (8 Gbps effective). The NVIDIA chip runs at 1,920 MHz base and 2,475 MHz boost, with memory at 1,313 MHz (21 Gbps effective). Despite the higher clocks on the NVIDIA side, the narrower bus and smaller memory pool limit its aggregate bandwidth.

Power and interface differences are notable. The Instinct MI350P has a 600 W TDP and requires a 1,000 W power supply, while the RTX 4070 AD103 has a 200 W TDP and a 550 W suggested PSU. Both use a dual-slot cooler and a single 16-pin power connector. The AMD part uses PCIe 5.0 x16, while the NVIDIA part uses PCIe 4.0 x16. Physical dimensions are close: the AMD card measures 267 mm long, 111 mm tall, and 40 mm wide; the NVIDIA card measures 240 mm long, 110 mm tall, and 40 mm wide.

Where Each One Wins

The data indicates complementary strengths rather than direct competition. The Instinct MI350P wins on raw compute throughput, memory capacity, and memory bandwidth. Its 36.04 TFLOPS FP32 and FP16 performance, combined with 8.19 TB/s bandwidth and 144 GB of HBM3e, positions it for workloads that demand large data movement and sustained mathematical throughput. The absence of display outputs reinforces this orientation: this is an accelerator for compute tasks, not for rendering to a screen.

The RTX 4070 AD103 wins on rasterization capabilities and graphics API support. Its 64 ROPs and 158.4 GPixel/s pixel rate, along with DirectX 12 Ultimate support, indicate a product built for conventional GPU rendering workloads. The presence of 46 RT cores and 184 tensor cores adds specialized hardware for ray-traced graphics and AI-accelerated features, which the AMD part lacks entirely.

The RTX 4070 AD103 also wins on power efficiency based on the data. It delivers 29.15 TFLOPS FP32 within a 200 W TDP, while the Instinct MI350P delivers 36.04 TFLOPS within a 600 W TDP. Normalizing for power, the NVIDIA part produces approximately 0.146 TFLOPS per watt versus 0.060 TFLOPS per watt for the AMD part. The NVIDIA GPU is roughly 2.4 times more efficient in FP32 throughput per watt, according to these specification-derived figures.

The AMD part wins on scale. Its 73,000 million transistors, 1,190 mm² die, and 8,192-bit memory bus represent a design focused on maximum capability rather than compactness or efficiency. The NVIDIA part, with 45,900 million transistors on a 379 mm² die, targets a smaller power envelope and physical footprint.

The Verdict

The database shows two products with divergent purposes, and the absence of benchmark results means no performance ranking can be established. The AMD Instinct MI350P is positioned as a compute accelerator: it has no display outputs, no graphics APIs, no ROPs, and no ray tracing or tensor cores. Its strengths lie in FP32/FP16 throughput, massive memory capacity, and extreme bandwidth. The NVIDIA GeForce RTX 4070 AD103 is a graphics card: it has display outputs, full DirectX 12 Ultimate support, ROPs, RT cores, and tensor cores, and it consumes one-third the power.

For tasks that involve rendering, graphics APIs, or ray tracing, the data points to the RTX 4070 AD103 as the only viable option, since the Instinct MI350P does not support those functions. For tasks that involve large-scale matrix math, dense data movement, or memory-heavy compute, the Instinct MI350P offers more capacity and bandwidth by a wide margin. The RTX 4070 AD103's higher clock speeds do not compensate for its smaller memory subsystem in such workloads.

The RTX 4070 AD103 is marked end-of-life in the database, with a successor listed as the GeForce 50 series. The Instinct MI350P has a release date of 2026-05-06 and no successor listed. The NVIDIA card launched at 599 USD MSRP, a fact recorded in the database but not central to the performance comparison.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The AMD Instinct MI350P lists 36.04 TFLOPS FP32, while the NVIDIA GeForce RTX 4070 AD103 lists 29.15 TFLOPS. The AMD part holds a 23.6% advantage in this specification.

Q: How do the memory bandwidth figures compare?

A: The AMD Instinct MI350P provides 8.19 TB/s from 144 GB of HBM3e on an 8,192-bit bus. The RTX 4070 AD103 provides 504.2 GB/s from 12 GB of GDDR6X on a 192-bit bus.

Q: Does the AMD Instinct MI350P support any graphics APIs?

A: The database records DirectX, OpenGL, and Vulkan as N/A for the Instinct MI350P. The RTX 4070 AD103 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: What is the power consumption difference?

A: The Instinct MI350P has a 600 W TDP and a suggested 1,000 W PSU. The RTX 4070 AD103 has a 200 W TDP and a suggested 550 W PSU.

Q: Are there any benchmark scores recorded for either product?

A: Neither product has any benchmark entries in the database. Both show an average benchmark score of 0 and a percentile rank of 50.

Q: What is the transistor count for each chip?

A: The AMD Instinct MI350P contains 73,000 million transistors on a 1,190 mm² die. The RTX 4070 AD103 contains 45,900 million transistors on a 379 mm² die.

Specification Differences

| Specification | AMD Instinct MI350P | NVIDIA GeForce RTX 4070 AD103 |

|---------------|---------------------|------------------------------|

| Architecture | CDNA 4.0 | Ada Lovelace |

| Process Node | 3 nm | 5 nm |

| Transistors | 73,000 million | 45,900 million |

| Die Size | 1,190 mm² | 379 mm² |

| Transistor Density | 61.3M / mm² | 121.1M / mm² |

| Base Clock | 1,000 MHz | 1,920 MHz |

| Boost Clock | 2,200 MHz | 2,475 MHz |

| Memory Clock | 2,000 MHz (8 Gbps effective) | 1,313 MHz (21 Gbps effective) |

| Memory Size | 144 GB | 12 GB |

| Memory Type | HBM3e | GDDR6X |

| Memory Bus Width | 8,192 bit | 192 bit |

| Memory Bandwidth | 8.19 TB/s | 504.2 GB/s |

| Shading Units | 8,192 | 5,888 |

| TMUs | 512 | 184 |

| ROPs | 0 | 64 |

| RT Cores | None | 46 |

| Tensor Cores | None | 184 |

| Pixel Rate | 0 MPixel/s | 158.4 GPixel/s |

| Texture Rate | 1,126.4 GTexel/s | 455.4 GTexel/s |

| FP32 | 36.04 TFLOPS | 29.15 TFLOPS |

| FP16 | 36.04 TFLOPS (1:1) | 29.15 TFLOPS (1:1) |

| TDP | 600 W | 200 W |

| Suggested PSU | 1,000 W | 550 W |

| Bus Interface | PCIe 5.0 x16 | PCIe 4.0 x16 |

| Display Outputs | No outputs | 1x HDMI 2.1, 3x DisplayPort 1.4a |

| DirectX | N/A | 12 Ultimate (12_2) |

| OpenGL | N/A | 4.6 |

| Vulkan | N/A | 1.4 |

| Length | 267 mm (10.5 inches) | 240 mm (9.4 inches) |

| Height | 111 mm (4.4 inches) | 110 mm (4.3 inches) |

| Width | 40 mm (1.6 inches) | 40 mm (1.6 inches) |

| Release Date | 2026-05-06 | 2024-02-29 |

| Production Status | Not specified | End-of-life |

| Predecessor | Radeon Instinct | GeForce 30 |

| Successor | None listed | GeForce 50 |

| Launch MSRP | None | 599 USD |