RADEON

AMD Radeon Instinct MI100

AMD graphics card specifications and benchmark scores

32 GB
VRAM
1502
MHz Boost
300W
TDP
4096
Bus Width

AMD Radeon Instinct MI100 Specifications

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Radeon Instinct MI100 GPU Core

Shader units and compute resources

The AMD Radeon Instinct MI100 GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.

Shading Units
7,680
Shaders
7,680
TMUs
480
ROPs
64
Compute Units
120
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Instinct MI100 Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the Radeon Instinct MI100's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The Radeon Instinct MI100 by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

Base Clock
1000 MHz
Base Clock
1,000 MHz
Boost Clock
1502 MHz
Boost Clock
1,502 MHz
Memory Clock
1200 MHz 2.4 Gbps effective
GDDR GDDR 6X 6X

AMD's Radeon Instinct MI100 Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Radeon Instinct MI100's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.

Memory Size
32 GB
VRAM
32,768 MB
Memory Type
HBM2
VRAM Type
HBM2
Memory Bus
4096 bit
Bus Width
4096-bit
Bandwidth
1.23 TB/s
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Radeon Instinct MI100 by AMD Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the Instinct MI100, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.

L1 Cache
16 KB (per CU)
L2 Cache
8 MB
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Instinct MI100 Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the AMD Radeon Instinct MI100 against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.

FP32 (Float)
23.07 TFLOPS
FP64 (Double)
11.54 TFLOPS (1:2)
FP16 (Half)
184.6 TFLOPS (8:1)
Pixel Rate
96.13 GPixel/s
Texture Rate
721.0 GTexel/s
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CDNA 1.0 Architecture & Process

Manufacturing and design details

The AMD Radeon Instinct MI100 is built on AMD's CDNA 1.0 architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the Instinct MI100 will perform in GPU benchmarks compared to previous generations.

Architecture
CDNA 1.0
GPU Name
Arcturus
Process Node
7 nm
Foundry
TSMC
Transistors
25,600 million
Die Size
750 mm²
Density
34.1M / mm²
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AMD's Radeon Instinct MI100 Power & Thermal

TDP and power requirements

Power specifications for the AMD Radeon Instinct MI100 determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the Radeon Instinct MI100 to maintain boost clocks without throttling.

TDP
300 W
TDP
300W
Power Connectors
2x 8-pin
Suggested PSU
700 W
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Radeon Instinct MI100 by AMD Physical & Connectivity

Dimensions and outputs

Physical dimensions of the AMD Radeon Instinct MI100 are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.

Slot Width
Dual-slot
Length
267 mm 10.5 inches
Height
111 mm 4.4 inches
Bus Interface
PCIe 4.0 x16
Display Outputs
No outputs
Display Outputs
No outputs
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AMD API Support

Graphics and compute APIs

API support determines which games and applications can fully utilize the AMD Radeon Instinct MI100. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.

OpenCL
2.1
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Radeon Instinct MI100 Product Information

Release and pricing details

The AMD Radeon Instinct MI100 is manufactured by AMD as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the Radeon Instinct MI100 by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.

Manufacturer
AMD
Release Date
Nov 2020
Production
End-of-life
Predecessor
FirePro Data Center

Radeon Instinct MI100 Benchmark Scores

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No benchmark data available for this GPU.

About AMD Radeon Instinct MI100

The AMD Radeon Instinct MI100 entered the market in late 2020 as AMD’s first CDNA‑based accelerator, packing a massive 32 GB of HBM2 memory and a 300 W TDP that targets high‑performance compute rather than gaming. Its base clock of 1 GHz and boost up to 1.502 GHz on a 7 nm process give it raw compute density that can look attractive on paper, yet the lack of publicly available benchmark data makes the price‑to‑performance ratio a moving target for prospective buyers. Positioned squarely against NVIDIA’s data‑center GPUs, the MI100 aims to carve out a niche in scientific simulations, AI research, and large‑scale analytics where memory bandwidth is paramount. Future‑proofing is a mixed bag: while PCIe 4.0 x16 and the CDNA architecture promise relevance for a few years, the rapid evolution of AI‑specific accelerators could outpace it sooner than expected. As a result, diligent shoppers should weigh the current cost against the anticipated lifespan of their workloads before committing to this platform.
  • Pair with a high‑core‑count AMD EPYC or Intel Xeon processor that can feed data through PCIe 4.0 without bottlenecks.
  • Deploy robust liquid or high‑performance air cooling to manage the 300 W thermal envelope.
  • Ensure a quality 1000 W+ power supply with sufficient 12 V rails for stable operation.
  • Target workloads that leverage HBM2 bandwidth, such as fluid dynamics, molecular modeling, and large‑scale matrix multiplications.
  • Consider alternative GPUs if your primary focus is deep‑learning inference, where NVIDIA’s Tensor cores may offer a clearer advantage.
When integrating the AMD Radeon Instinct MI100 into a workstation or server, the choice of supporting components becomes as critical as the accelerator itself, especially given the demanding power and cooling requirements. Its CDNA 1.0 architecture emphasizes compute over graphics, making it a natural fit for compute clusters that already run AMD CPUs and benefit from unified driver stacks. The 32 GB HBM2 pool provides a bandwidth advantage that can accelerate memory‑bound tasks, but developers must also adapt their code to fully exploit the accelerator’s capabilities. Looking ahead, AMD’s roadmap suggests iterative improvements to CDNA, meaning the MI100 could remain compatible with future software updates, albeit with diminishing performance gains over newer models. Ultimately, the decision to purchase the AMD Radeon Instinct MI100 should rest on a clear alignment between its strengths and the specific demands of your compute environment.

The NVIDIA Equivalent of Radeon Instinct MI100

Looking for a similar graphics card from NVIDIA? The NVIDIA GeForce RTX 3060 Ti offers comparable performance and features in the NVIDIA lineup.

NVIDIA GeForce RTX 3060 Ti

NVIDIA • 8 GB VRAM

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