AMD Instinct MI300A vs NVIDIA GeForce RTX 5070 Ti Comparison

# AMD Instinct MI300A vs NVIDIA GeForce RTX 5070 Ti

The AMD Instinct MI300A and NVIDIA GeForce RTX 5070 Ti occupy entirely different segments of the hardware spectrum. The MI300A is a compute-oriented accelerator with no display outputs, 128 GB of HBM3 memory, and a 750 W power envelope, while the RTX 5070 Ti is a dual-slot consumer graphics card with 16 GB of GDDR7, 70 RT cores, and a 300 W TDP. Benchmark data exists only for the RTX 5070 Ti, which holds an 86th percentile ranking among all GPUs in the database, whereas the MI300A has no recorded benchmark scores and sits at the 50th percentile by default. The data indicates that the RTX 5070 Ti is the only one of the two with measurable graphics performance, while the MI300A's role is defined by its massive memory capacity and compute throughput, not by rasterization or ray tracing.

Where Each One Wins

The RTX 5070 Ti wins in every scenario that involves graphics rendering, real-time ray tracing, or consumer software compatibility. Its recorded benchmarks span DirectX 10, 11, 12, and 9, plus OpenCL, Vulkan, and 2D/3D tests. The card delivers a PassMark G3D score of 32,974 and a Geekbench Vulkan score of 225,122, which are substantial figures for a consumer GPU. It also supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, making it compatible with modern game engines and professional graphics APIs. The MI300A, by contrast, lists no supported graphics APIs, no display outputs, and a pixel rate of 0 MPixel/s, meaning it cannot render frames to a screen or run standard graphics workloads.

The MI300A wins in memory-bound compute and large-scale data processing. Its 128 GB of HBM3 memory with a 5.32 TB/s bandwidth dwarfs the RTX 5070 Ti's 16 GB of GDDR7 at 896.0 GB/s. The MI300A also has 14,592 shading units, 912 texture mapping units, and an FP32 throughput of 61.29 TFLOPS, which is 39% higher than the RTX 5070 Ti's 43.94 TFLOPS. For workloads like AI training, scientific simulation, or large dataset manipulation that fit entirely within memory, the MI300A's architecture provides a clear advantage. The RTX 5070 Ti counters with 280 tensor cores and 70 RT cores, but these are optimized for consumer-level AI acceleration and ray tracing, not for the massive parallel compute that the MI300A targets.

FAQ

Q: Which card has higher raw FP32 compute throughput?

A: The AMD Instinct MI300A delivers 61.29 TFLOPS of FP32 performance, which is 39% higher than the NVIDIA GeForce RTX 5070 Ti's 43.94 TFLOPS. The MI300A also has more shading units (14,592 vs 8,960) and more texture mapping units (912 vs 280).

Q: How much memory does each card have, and what type?

A: The MI300A has 128 GB of HBM3 memory on an 8192-bit bus, providing 5.32 TB/s of bandwidth. The RTX 5070 Ti has 16 GB of GDDR7 memory on a 256-bit bus, providing 896.0 GB/s of bandwidth. The MI300A has 8 times the capacity and roughly 6 times the bandwidth.

Q: What are the power requirements for each card?

A: The MI300A has a TDP of 750 W and requires a suggested power supply of 1150 W, with no power connectors listed because it is an OAM module. The RTX 5070 Ti has a TDP of 300 W, uses a single 16-pin connector, and requires a suggested power supply of 700 W.

Q: Can the MI300A output video to a display?

A: No. The MI300A has no display outputs and a pixel rate of 0 MPixel/s. The RTX 5070 Ti, in contrast, provides 1x HDMI 2.1b and 3x DisplayPort 2.1b outputs and achieves a pixel rate of 235.4 GPixel/s.

Q: What is the RTX 5070 Ti's benchmark performance relative to its nearest rivals?

A: The RTX 5070 Ti has an average benchmark score of 49,957. It is 0.1% ahead of the AMD Radeon RX Vega 64 (50,001), 0.4% behind the Intel Arc A550M (49,737), 2% ahead of the AMD Radeon RX 6900 XT (50,951), and 3.1% ahead of the AMD Radeon RX 6800 XT (48,477). Its percentile rank among all GPUs is 86.

Q: What are the physical dimensions and slot requirements?

A: The MI300A is an OAM module with no listed dimensions and no power connectors. The RTX 5070 Ti is a dual-slot card measuring 304 mm in length, 137 mm in height, and 48 mm in width.

Head-to-Head Benchmarks

There are no direct head-to-head benchmark results recorded in the database for these two products, and the MI300A has zero benchmark entries. The comparison must therefore rely on the RTX 5070 Ti's measured scores and the MI300A's stated specifications. The RTX 5070 Ti's strongest recorded results are in Geekbench Vulkan (225,122), Geekbench OpenCL (212,363), PassMark G3D (32,974), and PassMark GPU Compute (20,203). These scores place it in the 86th percentile of all GPUs, with an average score of 49,957 across all tests.

The MI300A's FP32 throughput of 61.29 TFLOPS is the clearest numerical advantage it holds. That figure is 17.35 TFLOPS higher than the RTX 5070 Ti's 43.94 TFLOPS, a 39% lead. The MI300A also produces a texture rate of 1,915.2 GTexel/s, which is 2.79 times the RTX 5070 Ti's 686.6 GTexel/s. However, the MI300A's pixel rate is 0 MPixel/s, while the RTX 5070 Ti achieves 235.4 GPixel/s. This means the MI300A cannot perform any rasterization work, making its compute lead irrelevant for graphics tasks. The RTX 5070 Ti's 280 tensor cores and 70 RT cores provide specialized acceleration for AI inference and ray tracing, features the MI300A lacks entirely.

The RTX 5070 Ti's nearest rivals in the database are all AMD or Intel consumer cards, with score deltas ranging from 3.1% ahead of the RX 6800 XT to 0.4% behind the Arc A550M. This indicates that the RTX 5070 Ti sits in a competitive mid-to-high range for consumer GPUs. The MI300A has no nearest rivals listed, reflecting its unique positioning as a data center accelerator with no consumer counterpart.

Specification Differences

The two cards differ in nearly every major specification. The MI300A uses a 5 nm process with 153,000 million transistors on a 1017 mm² die, while the RTX 5070 Ti also uses 5 nm but packs 45,600 million transistors on a 378 mm² die. The transistor density is 150.4M per mm² for the MI300A versus 120.6M per mm² for the RTX 5070 Ti. Clock speeds differ substantially: the MI300A runs at a 1000 MHz base and 2100 MHz boost, while the RTX 5070 Ti runs at 2295 MHz base and 2452 MHz boost. The RTX 5070 Ti has a higher memory clock at 1750 MHz (28 Gbps effective) versus the MI300A's 1300 MHz (5.2 Gbps effective).

Memory configuration is the most dramatic split. The MI300A has 128 GB of HBM3 on an 8192-bit bus with 5.32 TB/s bandwidth. The RTX 5070 Ti has 16 GB of GDDR7 on a 256-bit bus with 896.0 GB/s bandwidth. The MI300A has 14,592 shading units, 912 TMUs, and 0 ROPs. The RTX 5070 Ti has 8,960 shading units, 280 TMUs, and 96 ROPs. The MI300A lists no RT cores or tensor cores, while the RTX 5070 Ti has 70 RT cores and 280 tensor cores. The MI300A's FP32 is 61.29 TFLOPS versus 43.94 TFLOPS for the RTX 5070 Ti. The MI300A also lists FP16 as null, while the RTX 5070 Ti provides 43.94 TFLOPS FP16 at a 1:1 ratio.

Power and physical specs diverge completely. The MI300A has a 750 W TDP, a suggested PSU of 1150 W, is an OAM module with no power connectors, and has no display outputs. The RTX 5070 Ti has a 300 W TDP, a suggested PSU of 700 W, is dual-slot, uses a 1x 16-pin power connector, and has 1x HDMI 2.1b and 3x DisplayPort 2.1b outputs. The MI300A has no listed API support, while the RTX 5070 Ti supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. Release dates differ by over a year: the MI300A launched on 2023-12-05, and the RTX 5070 Ti launched on 2025-02-19. The RTX 5070 Ti has a launch MSRP of 749 USD. The MI300A has no recorded MSRP.

Architecture Differences

The MI300A is built on AMD's CDNA 3.0 architecture with the Aqua Vanjaram chip, part of the Instinct (MIx) generation. It is a compute-optimized design with no graphics pipeline, no ROPs, and no display engine. The architecture prioritizes memory bandwidth and FP32 throughput, evidenced by the 8192-bit bus and 5.32 TB/s memory bandwidth. The lack of RT cores and tensor cores indicates that the MI300A is not intended for ray tracing or consumer AI workloads, but rather for general-purpose compute where raw FP32 and memory capacity matter most.

The RTX 5070 Ti is built on NVIDIA's Blackwell 2.0 architecture with the GB203 chip, part of the GeForce 50-series. It includes a full graphics pipeline with 96 ROPs, 70 RT cores for ray tracing, and 280 tensor cores for AI acceleration. The architecture supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, making it compatible with a wide range of consumer and professional software. The memory subsystem uses GDDR7 on a 256-bit bus, which trades capacity and bandwidth for lower latency and lower power consumption compared to the MI300A's HBM3.

The process nodes are identical (5 nm, TSMC), but the chip sizes differ massively: the MI300A's die is 1017 mm², nearly three times the RTX 5070 Ti's 378 mm². The MI300A packs 153,000 million transistors, while the RTX 5070 Ti has 45,600 million. This reflects the MI300A's focus on memory controllers and compute units, whereas the RTX 5070 Ti integrates fixed-function hardware for graphics and AI. The MI300A's predecessor is Radeon Instinct, and the RTX 5070 Ti's predecessor is GeForce 40, with a successor listed as GeForce 60.

The Verdict

The data shows that the RTX 5070 Ti is the only viable option for any graphics-related workload. It has measurable benchmark scores across DirectX, OpenCL, Vulkan, and PassMark tests, an 86th percentile ranking, and full display output support. Its 235.4 GPixel/s pixel rate and 96 ROPs enable real-time rendering, and its 70 RT cores and 280 tensor cores provide dedicated acceleration for ray tracing and AI features. The RTX 5070 Ti's 43.94 TFLOPS FP32 is lower than the MI300A's 61.29 TFLOPS, but that compute advantage is inaccessible for graphics because the MI300A has no rendering pipeline.

The MI300A is the correct choice for compute-bound applications that require massive memory capacity and bandwidth. Its 128 GB of HBM3 at 5.32 TB/s is unmatched by the RTX 5070 Ti's 16 GB at 896.0 GB/s. The MI300A's 1,915.2 GTexel/s texture rate is nearly three times the RTX 5070 Ti's, and its FP32 throughput is 39% higher. For workloads like large-scale scientific simulation, data analytics, or AI training where the entire dataset fits in the 128 GB memory pool, the MI300A delivers superior raw performance. However, it cannot output video, supports no graphics APIs, and requires a 750 W power envelope with a 1150 W suggested PSU.

The RTX 5070 Ti, with its launch MSRP of 749 USD, is a consumer product with a production status of Active and a full software ecosystem. Its nearest rivals in the database, the RX Vega 64, Arc A550M, RX 6900 XT, and RX 6800 XT, all score within 3.1% of it, indicating that it is a well-balanced mid-range card. The MI300A has no rivals listed, no benchmark scores, and no production status, making it a specialized tool rather than a general-purpose GPU. The verdict from the data is straightforward: pick the RTX 5070 Ti for graphics, gaming, or consumer AI; pick the MI300A for memory-intensive compute that never needs to display an image.