AMD Instinct MI350X vs NVIDIA RTX 1000 Mobile Ada Generation Comparison
AMD Instinct MI350X
RTX 1000 Mobile Ada Generation
Analysis: AMD Instinct MI350X vs NVIDIA RTX 1000 Mobile Ada Generation
The Verdict
The AMD Instinct MI350X and NVIDIA RTX 1000 Mobile Ada Generation occupy completely separate segments. The MI350X is a 3 nm, 1000 W accelerator with 288 GB of HBM3e, built for compute density. The RTX 1000 Mobile is a 35 W integrated GPU for laptops, using a 5 nm AD107 chip with 6 GB of GDDR6. The data shows they share almost no use cases. The MI350X targets HPC and AI workloads that demand massive memory bandwidth and raw FP32 throughput. The RTX 1000 Mobile targets portable workstations with graphics, display output, and API support. A builder choosing between these is choosing between a server rack component and a mobile processor. The MI350X has no display outputs and no DirectX, OpenGL, or Vulkan support. The RTX 1000 Mobile has full API coverage including DirectX 12 Ultimate. For any task requiring a screen, the RTX 1000 Mobile is the only option. For any task requiring multi-terabyte memory bandwidth or 72 TFLOPS of FP32, the MI350X is the only option.
Architecture Differences
The MI350X uses the MI350 256CU chip, built on CDNA 4.0 architecture, manufactured on a 3 nm TSMC process. It integrates 185,000 million transistors on a 2380 mm² die, yielding a transistor density of 77.7M per mm². The RTX 1000 Mobile uses the AD107 chip, built on Ada Lovelace architecture, manufactured on a 5 nm TSMC process. It integrates 18,900 million transistors on a 159 mm² die, yielding a transistor density of 118.9M per mm². The MI350X has 16,384 shading units, 1,024 TMUs, and no ROPs or RT cores. The RTX 1000 Mobile has 2,560 shading units, 80 TMUs, 48 ROPs, 20 RT cores, and 80 tensor cores. The MI350X has no dedicated ray tracing or tensor hardware listed. The RTX 1000 Mobile carries both. The MI350X has a base clock of 1000 MHz and a boost clock of 2200 MHz. The RTX 1000 Mobile has a base clock of 1485 MHz and a boost clock of 2025 MHz. The MI350X has no API support for DirectX, OpenGL, or Vulkan. The RTX 1000 Mobile supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.
The memory subsystems are fundamentally different. The MI350X uses 288 GB of HBM3e on an 8192-bit bus, delivering 8.19 TB/s of bandwidth. The RTX 1000 Mobile uses 6 GB of GDDR6 on a 96-bit bus, delivering 192.0 GB/s. The MI350X memory clock is 2000 MHz with 8 Gbps effective. The RTX 1000 Mobile memory clock is also 2000 MHz but with 16 Gbps effective. The MI350X has a pixel rate of 0 MPixel/s and a texture rate of 2,252.8 GTexel/s. The RTX 1000 Mobile has a pixel rate of 97.20 GPixel/s and a texture rate of 162.0 GTexel/s. The MI350X FP32 performance is 72.09 TFLOPS, with FP16 at 72.09 TFLOPS (1:1). The RTX 1000 Mobile FP32 performance is 10.37 TFLOPS, with FP16 at 10.37 TFLOPS (1:1).
Where Each One Wins
The MI350X wins in raw compute and memory bandwidth. Its 72.09 TFLOPS of FP32 is 6.95 times the RTX 1000 Mobile's 10.37 TFLOPS. Its 8.19 TB/s bandwidth is 42.66 times the 192.0 GB/s of the RTX 1000 Mobile. The MI350X has 288 GB of memory versus 6 GB. These margins are decisive for large model training, scientific simulation, and data center inference. The MI350X also has a higher boost clock at 2200 MHz versus 2025 MHz, and a larger bus width at 8192-bit versus 96-bit. The MI350X uses HBM3e, which is optimized for bandwidth density. The RTX 1000 Mobile uses GDDR6, which is optimized for cost and availability in mobile form factors.
The RTX 1000 Mobile wins in portability, power efficiency, and feature completeness. It has a TDP of 35 W versus 1000 W. It is an integrated GPU (IGP) with no external power connectors, while the MI350X is an OAM module that requires a 1400 W suggested PSU. The RTX 1000 Mobile has display outputs that are portable device dependent, while the MI350X has no outputs. The RTX 1000 Mobile supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. The MI350X has no API support. The RTX 1000 Mobile has 48 ROPs, 20 RT cores, and 80 tensor cores. The MI350X has zero ROPs and no listed RT or tensor cores. The RTX 1000 Mobile has a much higher transistor density at 118.9M per mm² versus 77.7M per mm², indicating a more compact design. The RTX 1000 Mobile also uses a PCIe 4.0 x8 interface, while the MI350X uses PCIe 5.0 x16.
The RTX 1000 Mobile delivers a pixel rate of 97.20 GPixel/s, which is meaningful for rasterized graphics. The MI350X delivers 0 MPixel/s. The RTX 1000 Mobile texture rate is 162.0 GTexel/s, which is lower than the MI350X's 2,252.8 GTexel/s, but the MI350X cannot output a frame. The RTX 1000 Mobile is the only one of the two that can render to a display. The MI350X is the only one that can handle multi-hundred-gigabyte memory footprints.
FAQ
Q: Which GPU has more memory bandwidth?
A: The AMD Instinct MI350X has 8.19 TB/s of bandwidth from 288 GB of HBM3e on an 8192-bit bus. The NVIDIA RTX 1000 Mobile has 192.0 GB/s from 6 GB of GDDR6 on a 96-bit bus. The MI350X has 42.66 times the bandwidth.
Q: Does either GPU support DirectX?
A: The NVIDIA RTX 1000 Mobile supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The AMD Instinct MI350X has no DirectX, OpenGL, or Vulkan support, and it has no display outputs.
Q: What is the power requirement difference?
A: The AMD Instinct MI350X has a TDP of 1000 W and requires a suggested PSU of 1400 W. The NVIDIA RTX 1000 Mobile has a TDP of 35 W and has no suggested PSU listed.
Q: Which GPU has ray tracing cores?
A: The NVIDIA RTX 1000 Mobile has 20 RT cores and 80 tensor cores. The AMD Instinct MI350X has no listed RT cores or tensor cores.
Q: How do the FP32 performance numbers compare?
A: The AMD Instinct MI350X delivers 72.09 TFLOPS of FP32, while the NVIDIA RTX 1000 Mobile delivers 10.37 TFLOPS. The MI350X is 6.95 times faster in FP32.
Q: What are the form factors?
A: The AMD Instinct MI350X is an OAM Module with dimensions of 102 mm length and 165 mm width. The NVIDIA RTX 1000 Mobile is an IGP with no listed dimensions.
Head-to-Head Benchmarks
The recorded data shows no direct benchmark scores for either GPU. The average benchmark score is 0 for both, and the percentile versus all GPUs is 50 for both. The head-to-head benchmark list is empty. However, the specification data provides clear performance deltas.
The largest win for the AMD Instinct MI350X is memory bandwidth. At 8.19 TB/s, it is 42.66 times the RTX 1000 Mobile's 192.0 GB/s. This is the defining difference. The MI350X can move 8.19 terabytes per second through an 8192-bit bus, while the RTX 1000 Mobile moves 192.0 gigabytes per second through a 96-bit bus. For memory-bound workloads, this is an enormous gap.
The second largest win is FP32 compute. The MI350X delivers 72.09 TFLOPS versus 10.37 TFLOPS, a 6.95 times advantage. This scales directly to compute-bound tasks that use FP32 arithmetic. The MI350X also has 16,384 shading units versus 2,560, a 6.4 times difference. The texture rate is 2,252.8 GTexel/s versus 162.0 GTexel/s, a 13.9 times difference.
The MI350X also wins on memory capacity. It has 288 GB versus 6 GB, a 48 times difference. This allows the MI350X to hold entire model weights or large simulation grids on-die. The RTX 1000 Mobile cannot hold such datasets. The MI350X has a higher boost clock at 2200 MHz versus 2025 MHz, and a larger die at 2380 mm² versus 159 mm². The MI350X transistor count is 185,000 million versus 18,900 million, a 9.79 times difference.
The NVIDIA RTX 1000 Mobile wins on pixel rate. It delivers 97.20 GPixel/s, while the MI350X delivers 0 MPixel/s. This is a total win for the RTX 1000 Mobile in any rasterization task. The RTX 1000 Mobile also has 48 ROPs versus 0 for the MI350X. The RTX 1000 Mobile has 20 RT cores and 80 tensor cores, while the MI350X has none listed. The RTX 1000 Mobile has API support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, while the MI350X has none.
The RTX 1000 Mobile also wins on power efficiency. Its 35 W TDP is 28.57 times lower than the MI350X's 1000 W. The RTX 1000 Mobile has a higher base clock at 1485 MHz versus 1000 MHz. The RTX 1000 Mobile has a higher transistor density at 118.9M per mm² versus 77.7M per mm². The RTX 1000 Mobile is a production status of Active, while the MI350X has no production status listed. The RTX 1000 Mobile uses a PCIe 4.0 x8 interface, while the MI350X uses PCIe 5.0 x16.
Specification Differences
The two GPUs differ on nearly every recorded field.
- Chip: MI350 256CU (AMD) versus AD107 (NVIDIA)
- Architecture: CDNA 4.0 versus Ada Lovelace
- Generation: Instinct (MIx) versus Ada-MW (x000A)
- Process Node: 3 nm versus 5 nm, both TSMC
- Transistors: 185,000 million versus 18,900 million
- Die Size: 2380 mm² versus 159 mm²
- Transistor Density: 77.7M / mm² versus 118.9M / mm²
- Base Clock: 1000 MHz versus 1485 MHz
- Boost Clock: 2200 MHz versus 2025 MHz
- Memory Clock: 2000 MHz 8 Gbps effective versus 2000 MHz 16 Gbps effective
- Memory Size: 288 GB versus 6 GB
- Memory Type: HBM3e versus GDDR6
- Memory Bus Width: 8192 bit versus 96 bit
- Memory Bandwidth: 8.19 TB/s versus 192.0 GB/s
- Shading Units: 16384 versus 2560
- TMUs: 1024 versus 80
- ROPs: 0 versus 48
- RT Cores: None listed versus 20
- Tensor Cores: None listed versus 80
- Pixel Rate: 0 MPixel/s versus 97.20 GPixel/s
- Texture Rate: 2,252.8 GTexel/s versus 162.0 GTexel/s
- FP32: 72.09 TFLOPS versus 10.37 TFLOPS
- FP16: 72.09 TFLOPS (1:1) versus 10.37 TFLOPS (1:1)
- TDP: 1000 W versus 35 W
- Slot Width: OAM Module versus IGP
- Power Connectors: None versus None
- Suggested PSU: 1400 W versus None
- Bus Interface: PCIe 5.0 x16 versus PCIe 4.0 x8
- Display Outputs: No outputs versus Portable Device Dependent
- DirectX: N/A versus 12 Ultimate (12_2)
- OpenGL: N/A versus 4.6
- Vulkan: N/A versus 1.4
- Dimensions: 102 mm length, 165 mm width versus no dimensions listed
- Release Date: 2025-06-11 versus 2024-02-25
- Predecessor: Radeon Instinct versus Ampere-MW
- Successor: None listed versus Blackwell-MW
- Production Status: None listed versus Active