AMD Instinct MI300A vs NVIDIA Tesla C2050
We compared two Professional market GPUs: 128GB VRAM AMD Instinct MI300A and 3GB VRAM Tesla C2050 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
AMD Instinct MI300A 's Advantages
Released 12 years and 5 months late
Boost Clock2100MHz
More VRAM (128GB vs 3GB)
Larger VRAM bandwidth (5300GB/s vs 144.0GB/s)
14144 additional rendering cores
NVIDIA Tesla C2050 's Advantages
Lower TDP (238W vs 760W)
Score
Benchmark
FP32 (float)
AMD Instinct MI300A
+11826%
122.6 TFLOPS
Tesla C2050
1.028 TFLOPS
Graphics Card
Dec 2023
Release Date
Jul 2011
Instinct
Generation
Tesla
Professional
Type
Professional
PCIe 5.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
1000 MHz
Base Clock
-
2100 MHz
Boost Clock
-
5200 MHz
Memory Clock
750 MHz
Memory
128GB
Memory Size
3GB
HBM3
Memory Type
GDDR5
8192bit
Memory Bus
384bit
5300GB/s
Bandwidth
144.0GB/s
Render Config
228
Compute Units
-
-
SM Count
14
14592
Shading Units
448
880
TMUs
56
0
ROPs
48
-
-
-
-
-
-
16 KB (per CU)
L1 Cache
64 KB (per SM)
16 MB
L2 Cache
768 KB
-
-
-
Theoretical Performance
0 MPixel/s
Pixel Rate
16.07 GPixel/s
1496 GTexel/s
Texture Rate
32.14 GTexel/s
980.6 TFLOPS
FP16 (half)
-
122.6 TFLOPS
FP32 (float)
1028 GFLOPS
61.3 TFLOPS
FP64 (double)
513.9 GFLOPS
Board Design
760W
TDP
238W
1000 W
Suggested PSU
550 W
No outputs
Outputs
1x DVI
None
Power Connectors
1x 6-pin + 1x 8-pin
Graphics Processor
MI300
GPU Name
GF100
-
GPU Variant
GF100-850-A3
CDNA 3.0
Architecture
Fermi
TSMC
Foundry
TSMC
5 nm
Process Size
40 nm
146 billion
Transistors
3.1 billion
1017 mm²
Die Size
529 mm²
Graphics Features
N/A
DirectX
12 (11_0)
N/A
OpenGL
4.6
3.0
OpenCL
1.1
N/A
Vulkan
N/A
-
CUDA
2.0
N/A
Shader Model
5.1
