AMD Radeon Instinct MI300

The AMD Radeon Instinct MI300 is a data-center accelerator built on the CDNA 3.0 architecture, using the Aqua Vanjaram chip fabricated on TSMC's 5 nm process. The die spans 1017 mm² and integrates 153,000 million transistors, achieving a density of 150.4 million per square millimeter. Released on 2023-01-03 as the successor to the FirePro Data Center line, this accelerator is engineered for compute rather than graphics output. The database records a 50th percentile standing among all GPUs, though its average benchmark score is zero, indicating no validated performance samples have been logged. The card's specifications paint a picture of a purpose-built compute engine: no display outputs, no ROPs, and a massive memory pool.

Benchmark Performance

The MI300's benchmark profile is defined by raw compute throughput rather than rasterization. FP32 performance is rated at 47.87 TFLOPS, while FP16 reaches 383.0 TFLOPS at an 8:1 ratio — a clear signal that the architecture prioritizes matrix-heavy workloads such as neural network training and inference. The texture rate of 1,496.0 GTexel/s reflects the 880 TMUs working in concert with the 14,080 shading units. The absence of ROPs (0) and a pixel rate of 0 MPixel/s confirms this is not a rendering-focused part. With no benchmark entries in the database, the 50th percentile is a spec-based classification rather than a measured result. The 8:1 FP16 ratio means the card delivers FP16 throughput at a rate eight times its FP32 figure, a characteristic common to accelerators tuned for AI workloads. The 47.87 TFLOPS FP32 number, while modest next to the FP16 peak, still represents substantial single-precision compute for scientific simulation. The 383 TFLOPS FP16 figure is the headline compute metric, and it is the number that data-center buyers will scrutinize first. The texture rate of 1,496 GTexel/s, though irrelevant for display workloads, indicates the TMUs are repurposed for compute operations. The zero pixel rate and zero ROP count mean the card cannot drive a framebuffer — it is purely a compute device. The data suggests that benchmark scores, when they arrive, will reflect throughput-oriented tests rather than gaming benchmarks. The base clock of 1000 MHz and boost clock of 1700 MHz provide the operating envelope for these throughput figures. The 47.87 TFLOPS FP32 rating, when divided across the 14,080 shading units, shows the per-unit throughput is modest, but the sheer scale of the silicon compensates.

How It Compares

The database lists no nearest rivals for the MI300. This absence means direct percentage deltas against competing accelerators cannot be computed from the recorded data. The 50th percentile across all GPUs places it at the median of the database's collection, but without averaged scores, this ranking reflects the spec-based classification rather than head-to-head results. The predecessor FirePro Data Center line established AMD's server presence, and the MI300 continues that trajectory. The lack of rival entries suggests the database has not yet captured comparative benchmarks for this accelerator generation. Without rival scores, the analysis must rely on the spec sheet alone. The 128 GB memory capacity and 6.55 TB/s bandwidth are the differentiators most likely to matter in server deployments. The 600 W TDP positions it in the high-power tier of the database, and the PCIe 5.0 x16 interface is the current-generation host connection. The absence of display outputs and graphics API support further distinguishes it from consumer GPUs in the database. The percentile of 50, being the midpoint, offers no competitive insight without rival data. Future benchmark submissions will enable meaningful comparisons, but for now the MI300 stands as a spec-defined entity. The 153,000 million transistor count and 1017 mm² die size place it among the largest chips in the database, a physical scale that hints at its compute ambitions.

Who Should Consider It

Given the absence of display outputs and the compute-focused specifications, the MI300 is not intended for gaming or workstation graphics. The 128 GB HBM3 memory and 6.55 TB/s bandwidth make it suited for large-scale data processing, such as training large language models or processing scientific datasets. The FP16 throughput of 383.0 TFLOPS positions it for AI inference and training workloads. The 600 W TDP requires a 1000 W power supply, so it targets data-center environments with robust power delivery. Resolution-based recommendations do not apply, as there are no display outputs. Instead, the data suggests deployment in server racks where compute density and memory capacity are paramount. The 267 mm length and 111 mm height fit standard server chassis, and the PCIe 5.0 x16 interface provides high-bandwidth host connectivity. Organizations with workloads that fit within 128 GB of on-device memory will benefit most. The 8:1 FP16 ratio means mixed-precision training is the primary use case. The card's 47.87 TFLOPS FP32 also supports scientific workloads that require single-precision math. The zero ROP count and zero pixel rate rule out any rendering tasks, so buyers should not expect to repurpose this card for graphics. The 600 W power draw and 1000 W PSU recommendation mean deployment requires careful power budgeting. The 5 nm process and TSMC foundry relationship ensure a mature manufacturing base for high-volume server adoption.

FAQ

Q: What architecture does the MI300 use?

A: It uses CDNA 3.0, built on the Aqua Vanjaram chip at TSMC's 5 nm process.

Q: How much memory does it have?

A: 128 GB of HBM3 on an 8192-bit bus, delivering 6.55 TB/s bandwidth.

Q: What is the FP16 performance?

A: 383.0 TFLOPS at an 8:1 ratio, compared to 47.87 TFLOPS FP32.

Q: Does it have display outputs?

A: No, it has no display outputs, confirming its compute-only role.

Q: What power supply is recommended?

A: A 1000 W PSU, with two 8-pin power connectors.

Q: When was it released?

A: 2023-01-03, succeeding the FirePro Data Center line.

Q: What is the memory clock speed?

A: 1600 MHz, with a 6.4 Gbps effective data rate.

Ray Tracing and Feature Set

The MI300's feature set is sparse on graphics-centric technologies. RT cores and tensor cores are not specified in the database, and the API fields for DirectX, OpenGL, and Vulkan are all null, indicating no graphics API support is recorded. This aligns with the card's compute-only positioning. The CDNA 3.0 architecture focuses on matrix operations and FP16 throughput, with the 8:1 FP16 ratio suggesting dedicated hardware for half-precision math. Without RT cores or tensor cores listed, the data implies ray tracing is not a target workload. The absence of display outputs reinforces that this is a server accelerator, not a consumer graphics card. The feature set is deliberately minimal — no display outputs, no graphics APIs, no rasterization hardware. What remains is a pure compute pipeline optimized for throughput. The 47.87 TFLOPS FP32 and 383.0 TFLOPS FP16 figures are the only compute features the database records, and they define the card's capabilities. The 1,496.0 GTexel/s texture rate, while nominally a graphics metric, is better understood as a measure of the TMUs' compute contribution. The card's architecture is built for data movement and math, not for rendering scenes.

Power and Cooling

The MI300 carries a 600 W TDP. AMD recommends a 1000 W power supply, and power is delivered via two 8-pin connectors. The card measures 267 mm in length and 111 mm in height, with the database also listing 10.5 inches and 4.4 inches respectively. The 5 nm process and 153 billion transistors generate significant heat, though the database does not specify a slot width or cooler type. The 600 W figure is substantial, requiring robust server cooling solutions. The 1000 W PSU recommendation accounts for system overhead beyond the card itself. The two 8-pin connectors are standard for high-power accelerators, and the dimensions fit within typical server enclosures. The absence of a slot width specification leaves cooling design questions open, but the 600 W TDP is the key planning number for system integrators. The 1000 W PSU guidance suggests a comfortable headroom for the rest of the system. The card's power draw is consistent with its compute throughput, as the 47.87 TFLOPS FP32 and 383.0 TFLOPS FP16 figures require substantial energy.

Memory Subsystem

The memory subsystem is the MI300's standout feature. 128 GB of HBM3 runs across an 8192-bit bus, yielding 6.55 TB/s of bandwidth. This bandwidth is critical for large datasets that exceed the capacity of smaller accelerators. The memory clock is 1600 MHz, with a 6.4 Gbps effective data rate. The 8192-bit bus is exceptionally wide, enabling the high throughput. For high-resolution or large-batch workloads, this capacity and bandwidth reduce the need for data movement between host and device. The 128 GB capacity can hold substantial model weights and large scientific datasets. The HBM3 type is the latest high-bandwidth memory standard, and the 6.55 TB/s figure positions it at the top of the memory bandwidth hierarchy. The 8192-bit bus width is the widest interface in the database, a direct contributor to the 6.55 TB/s throughput. The 1600 MHz memory clock, combined with the 6.4 Gbps effective rate, shows the efficiency of the HBM3 signaling. For workloads that are memory-bound, the MI300's 128 GB capacity and 6.55 TB/s bandwidth will be the deciding factors. The memory subsystem is the card's strongest asset, and it complements the compute throughput to create a balanced accelerator.