AMD Instinct MI300A vs NVIDIA RTX 1000 Mobile Ada Generation Comparison

FAQ

Q: What are the core architectural differences between the AMD Instinct MI300A and the NVIDIA RTX 1000 Mobile Ada Generation?

A: The MI300A uses AMD’s CDNA 3.0 architecture on a 5 nm TSMC process, while the RTX 1000 Mobile uses NVIDIA’s Ada Lovelace architecture, also on a 5 nm TSMC process. The MI300A is an OAM module with no display outputs, whereas the RTX 1000 is an IGP with portable-device-dependent outputs.

Q: How do their memory subsystems compare?

A: The MI300A features 128 GB of HBM3 memory on an 8192-bit bus, delivering 5.32 TB/s of bandwidth. The RTX 1000 Mobile has 6 GB of GDDR6 on a 96-bit bus, providing 192.0 GB/s. The MI300A’s memory bandwidth is over 27 times higher.

Q: Which GPU has more shading units, and what does that imply for raw compute?

A: The MI300A has 14,592 shading units versus 2,560 on the RTX 1000 Mobile. Consequently, the MI300A’s FP32 throughput is 61.29 TFLOPS, while the RTX 1000 Mobile delivers 10.37 TFLOPS. The MI300A leads by roughly 5.9 times in FP32.

Q: What are the thermal and power profile differences?

A: The MI300A has a TDP of 750 W and a suggested PSU of 1150 W, with no power connectors (OAM module). The RTX 1000 Mobile has a TDP of 35 W and no suggested PSU listed, typical of mobile IGP designs.

Q: Do these GPUs support modern graphics APIs?

A: The RTX 1000 Mobile supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI300A lists N/A for DirectX, OpenGL, and Vulkan, reflecting its compute-optimized, non-display-oriented design.

Q: What are the release dates and production statuses?

A: The MI300A was released on 2023-12-05, and the RTX 1000 Mobile on 2024-02-25. The RTX 1000 Mobile is marked as Active in production, while the MI300A’s production status is not recorded. Both have a percentile versus all GPUs of 50 and an average benchmark score of 0 in the database.

Architecture Differences

The AMD Instinct MI300A and NVIDIA RTX 1000 Mobile Ada Generation represent two divergent design philosophies, one aimed at massive parallel compute and the other at mobile graphics efficiency.

The MI300A is built on AMD’s CDNA 3.0 architecture, using the Aqua Vanjaram chip. It is fabricated on a 5 nm process at TSMC, with a die size of 1017 mm² and a staggering 153,000 million transistors. The transistor density reaches 150.4M per mm². This is a data-center-oriented accelerator, packaged as an OAM Module with no display outputs. It has no dedicated RT cores or tensor cores listed, and its API support for DirectX, OpenGL, and Vulkan is marked as N/A. The MI300A’s base clock is 1000 MHz, boosting to 2100 MHz, with memory clocked at 1300 MHz (5.2 Gbps effective).

In contrast, the RTX 1000 Mobile is built on NVIDIA’s Ada Lovelace architecture, using the AD107 chip. It is also on a 5 nm TSMC process, but with a much smaller die size of 159 mm² and 18,900 million transistors, resulting in a transistor density of 118.9M per mm². This is a mobile IGP with display outputs described as "Portable Device Dependent." It is equipped with 20 RT cores and 80 tensor cores, supporting DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Its base clock is 1485 MHz, boosting to 2025 MHz, with memory running at 2000 MHz (16 Gbps effective).

The MI300A has no ROPs, a pixel rate of 0 MPixel/s, and a texture rate of 1,915.2 GTexel/s. The RTX 1000 Mobile has 48 ROPs, a pixel rate of 97.20 GPixel/s, and a texture rate of 162.0 GTexel/s. The MI300A’s bus interface is PCIe 5.0 x16, whereas the RTX 1000 Mobile uses PCIe 4.0 x8.

Head-to-Head Benchmarks

The database contains no head-to-head benchmark entries for these two GPUs, with both winsA and winsB set to 0. However, the recorded specification data allows for a direct comparison of their theoretical compute and memory performance.

In FP32 compute, the MI300A delivers 61.29 TFLOPS, which is 5.9 times the RTX 1000 Mobile’s 10.37 TFLOPS. The MI300A’s texture rate of 1,915.2 GTexel/s dwarfs the RTX 1000 Mobile’s 162.0 GTexel/s, a margin of 11.8 times. In pixel throughput, the RTX 1000 Mobile achieves 97.20 GPixel/s, while the MI300A is at 0 MPixel/s, reflecting the MI300A’s lack of ROPs and display-oriented rasterization.

Memory bandwidth is another area of massive divergence. The MI300A’s 5.32 TB/s from HBM3 on an 8192-bit bus is 27.7 times higher than the RTX 1000 Mobile’s 192.0 GB/s from GDDR6 on a 96-bit bus. Memory capacity also differs by a factor of over 21: 128 GB versus 6 GB.

Clock speeds show a nuanced picture. The RTX 1000 Mobile has a higher base clock (1485 MHz versus 1000 MHz) and a slightly lower boost clock (2025 MHz versus 2100 MHz). The RTX 1000 Mobile’s memory clock is 2000 MHz (16 Gbps effective), versus the MI300A’s 1300 MHz (5.2 Gbps effective), though the MI300A’s much wider bus more than compensates.

Specification Differences

The following table summarizes the key fields where the two GPUs differ, based on the recorded data:

• Chip: Aqua Vanjaram (AMD) versus AD107 (NVIDIA)
• Architecture: CDNA 3.0 versus Ada Lovelace
• Generation: Instinct (MIx) versus Ada-MW (x000A)
• Transistors: 153,000 million versus 18,900 million
• Die Size: 1017 mm² versus 159 mm²
• Transistor Density: 150.4M / mm² versus 118.9M / mm²
• Base Clock: 1000 MHz versus 1485 MHz
• Boost Clock: 2100 MHz versus 2025 MHz
• Memory Clock: 1300 MHz (5.2 Gbps effective) versus 2000 MHz (16 Gbps effective)
• Memory Size: 128 GB versus 6 GB
• Memory Type: HBM3 versus GDDR6
• Memory Bus Width: 8192 bit versus 96 bit
• Memory Bandwidth: 5.32 TB/s versus 192.0 GB/s
• Shading Units: 14,592 versus 2,560
• TMUs: 912 versus 80
• ROPs: 0 versus 48
• RT Cores: null versus 20
• Tensor Cores: null versus 80
• Pixel Rate: 0 MPixel/s versus 97.20 GPixel/s
• Texture Rate: 1,915.2 GTexel/s versus 162.0 GTexel/s
• FP32: 61.29 TFLOPS versus 10.37 TFLOPS
• FP16: null versus 10.37 TFLOPS (1:1)
• TDP: 750 W versus 35 W
• Slot Width: OAM Module versus IGP
• Suggested PSU: 1150 W versus null
• Bus Interface: PCIe 5.0 x16 versus PCIe 4.0 x8
• Display Outputs: No outputs versus Portable Device Dependent
• APIs: DirectX N/A, OpenGL N/A, Vulkan N/A versus DirectX 12 Ultimate (12_2), OpenGL 4.6, Vulkan 1.4
• Release Date: 2023-12-05 versus 2024-02-25
• Predecessor: Radeon Instinct versus Ampere-MW
• Successor: null versus Blackwell-MW
• Production Status: null versus Active

The MI300A has no launch MSRP recorded, and the RTX 1000 Mobile also has no launch MSRP recorded.

The Verdict

The data indicates two distinct classes of hardware with no overlap in intended use cases. The AMD Instinct MI300A is a data-center accelerator that prioritizes raw compute throughput and memory bandwidth above all else. Its 61.29 TFLOPS FP32, 5.32 TB/s bandwidth, and 128 GB HBM3 capacity point toward large-scale scientific computing, AI training, and high-performance data processing, where rasterization and display output are irrelevant.

The NVIDIA RTX 1000 Mobile Ada Generation is a low-power mobile GPU designed for graphics workloads. With a 35 W TDP, 20 RT cores, 80 tensor cores, and support for DirectX 12 Ultimate, it is suited for laptop-class rendering, ray tracing, and AI-accelerated graphics tasks. Its 10.37 TFLOPS FP32 and 97.20 GPixel/s pixel rate are modest compared to the MI300A, but they are paired with a portable form factor and display capabilities.

Benchmark results in the database show no actual performance tests for either GPU, with average benchmark scores of 0 and percentile ranks of 50. Therefore, the comparison must rest on the recorded specifications. The MI300A is superior in every compute and memory metric, but it lacks the graphics pipeline features (ROPs, RT cores, tensor cores, API support) that the RTX 1000 Mobile provides.

The choice between these two is straightforward based on the data: the MI300A serves workloads where massive parallel compute and memory capacity dominate, while the RTX 1000 Mobile serves mobile graphics and display-oriented tasks. Neither can substitute for the other in the other’s domain. The MI300A’s 750 W TDP and OAM module form factor preclude any mobile use, while the RTX 1000 Mobile’s 6 GB memory and 96-bit bus cannot approach the MI300A’s data throughput. The recorded data confirms that these are complementary products for entirely different segments, not direct competitors.