AMD Instinct MI308X vs NVIDIA RTX 3500 Mobile Ada Generation Comparison

AMD
RADEON

AMD Instinct MI308X

CORE STATE Aqua Vanjaram
VRAM 192 GB
CLOCK SPEED 2100 MHz
TDP 750 W
BUS WIDTH 8192 bit
ARCHITECTURE CDNA 3.0
nm
PROCESS 5 nm
LAUNCH DATE 2023
VS
NVIDIA
GEFORCE

RTX 3500 Mobile Ada Generation

CORE STATE AD104
VRAM 12 GB
CLOCK SPEED 1545 MHz
TDP 100 W
BUS WIDTH 192 bit
ARCHITECTURE Ada Lovelace
nm
PROCESS 5 nm
LAUNCH DATE 2023

Analysis: AMD Instinct MI308X vs NVIDIA RTX 3500 Mobile Ada Generation

Head-to-Head Benchmarks

The recorded database contains no direct head-to-head benchmark results for the AMD Instinct MI308X and the NVIDIA RTX 3500 Mobile Ada Generation. Both products hold a 50th percentile ranking among all GPUs in the database, and both have an average benchmark score of zero. This means the comparison must rely entirely on architectural specifications and theoretical compute figures rather than measured application performance.

The most decisive numerical gap appears in raw compute throughput. The AMD Instinct MI308X delivers 81.72 TFLOPS of FP32 performance, while the NVIDIA RTX 3500 Mobile Ada Generation delivers 15.82 TFLOPS. This places the Instinct MI308X at roughly 5.2 times the FP32 output of the mobile NVIDIA part. The same ratio applies to FP16 performance, as both GPUs operate at a 1:1 FP16 to FP32 ratio. The Instinct MI308X reaches 81.72 TFLOPS FP16, and the NVIDIA part reaches 15.82 TFLOPS FP16.

Texture throughput shows a similarly wide margin. The Instinct MI308X produces 2,553.6 GTexel/s, whereas the RTX 3500 Mobile Ada Generation produces 247.2 GTexel/s. That difference of more than 10 times reflects far more texture mapping units on the AMD accelerator: 1,216 TMUs versus 160 TMUs.

Pixel throughput inverts the pattern. The Instinct MI308X lists 0 MPixel/s, effectively no rasterization output, while the RTX 3500 Mobile Ada Generation reaches 98.88 GPixel/s from its 64 ROPs. This is a fundamental design divergence: the AMD part is a compute-focused accelerator with no display or raster pipeline, while the NVIDIA part is a conventional graphics processor.

Memory bandwidth also heavily favors the AMD part. The Instinct MI308X has 5.32 TB/s of bandwidth from 192 GB of HBM3 across an 8192-bit bus. The RTX 3500 Mobile Ada Generation has 432.0 GB/s from 12 GB of GDDR6 on a 192-bit bus. The AMD accelerator offers roughly 12.3 times the bandwidth, which directly supports its large compute workloads.

Architecture Differences

The two GPUs come from entirely different architectural lineages. The AMD Instinct MI308X uses CDNA 3.0 architecture, built on the Aqua Vanjaram chip. The NVIDIA RTX 3500 Mobile Ada Generation uses Ada Lovelace architecture, built on the AD104 chip. Both are fabricated on a 5 nm process at TSMC, but the similarities end there.

Transistor counts differ substantially. The Instinct MI308X integrates 153,000 million transistors on a die of 1017 mm², yielding a transistor density of 150.4M per mm². The RTX 3500 Mobile Ada Generation integrates 35,800 million transistors on a die of 294 mm², yielding a density of 121.8M per mm². The AMD chip is more than four times larger in die area and holds more than four times the transistor count.

Shader organization diverges significantly. The Instinct MI308X has 19,456 shading units and 1,216 TMUs, but zero ROPs. It has no dedicated ray tracing cores and no tensor cores listed in the database. The RTX 3500 Mobile Ada Generation has 5,120 shading units, 160 TMUs, 64 ROPs, 40 ray tracing cores, and 160 tensor cores. This means the NVIDIA part carries hardware acceleration for ray tracing and AI tensor operations, while the AMD accelerator does not expose those features in its specification.

Clock behavior also differs. The Instinct MI308X runs at a base of 1000 MHz and boosts to 2100 MHz. The RTX 3500 Mobile Ada Generation runs at a base of 1110 MHz and boosts to 1545 MHz. The AMD part has a higher boost ceiling, but the NVIDIA part starts from a higher base clock.

Memory architecture is a major differentiator. The Instinct MI308X uses HBM3 memory at 1300 MHz with 5.2 Gbps effective speed, across an 8192-bit bus. The RTX 3500 Mobile Ada Generation uses GDDR6 at 2250 MHz with 18 Gbps effective speed, across a 192-bit bus. The HBM3 implementation provides vastly greater capacity and bandwidth, while the GDDR6 implementation is far more power-efficient.

The power envelope separates these products into different classes entirely. The Instinct MI308X has a TDP of 750 W and requires a suggested PSU of 1150 W. The RTX 3500 Mobile Ada Generation has a TDP of 100 W and lists no suggested PSU. The AMD part is an OAM module with no display outputs, while the NVIDIA part is an integrated graphics package (IGP) with display outputs described as portable device dependent.

Where Each One Wins

The AMD Instinct MI308X wins decisively in compute-heavy workloads that demand massive memory capacity and bandwidth. Its 192 GB of HBM3 and 5.32 TB/s bandwidth make it suited for large model training, scientific simulation, and data processing tasks where dataset sizes exceed what a 12 GB GPU can hold. The FP32 and FP16 throughput of 81.72 TFLOPS positions it for high-throughput numerical work.

The NVIDIA RTX 3500 Mobile Ada Generation wins in conventional graphics rendering and interactive workloads. Its 98.88 GPixel/s pixel rate, 40 ray tracing cores, and 160 tensor cores enable real-time visualization, ray-traced rendering, and AI-accelerated features. The 12 GB of GDDR6 is small by comparison but adequate for mobile workstation tasks such as CAD, 3D modeling, and video editing.

The mobility aspect cannot be overstated. The RTX 3500 Mobile Ada Generation operates at 100 W and fits as an IGP, making it deployable in laptops and compact workstations. The Instinct MI308X at 750 W requires a dedicated OAM slot with substantial cooling and power delivery, restricting it to server or rack-mounted environments.

The NVIDIA part also carries full API support with DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The AMD part lists N/A for DirectX, OpenGL, and Vulkan, confirming it is not intended for graphics API workloads.

Specification Differences

The two products differ in nearly every measurable specification. Process node is the only shared attribute, with both at 5 nm from TSMC.

  • Architecture: CDNA 3.0 versus Ada Lovelace
  • Chip: Aqua Vanjaram versus AD104
  • Transistors: 153,000 million versus 35,800 million
  • Die size: 1017 mm² versus 294 mm²
  • Transistor density: 150.4M / mm² versus 121.8M / mm²
  • Base clock: 1000 MHz versus 1110 MHz
  • Boost clock: 2100 MHz versus 1545 MHz
  • Memory clock: 1300 MHz (5.2 Gbps effective) versus 2250 MHz (18 Gbps effective)
  • Memory size: 192 GB versus 12 GB
  • Memory type: HBM3 versus GDDR6
  • Memory bus width: 8192 bit versus 192 bit
  • Memory bandwidth: 5.32 TB/s versus 432.0 GB/s
  • Shading units: 19,456 versus 5,120
  • TMUs: 1,216 versus 160
  • ROPs: 0 versus 64
  • Ray tracing cores: none versus 40
  • Tensor cores: none versus 160
  • Pixel rate: 0 MPixel/s versus 98.88 GPixel/s
  • Texture rate: 2,553.6 GTexel/s versus 247.2 GTexel/s
  • FP32: 81.72 TFLOPS versus 15.82 TFLOPS
  • FP16: 81.72 TFLOPS versus 15.82 TFLOPS
  • TDP: 750 W versus 100 W
  • Slot width: OAM Module versus IGP
  • Suggested PSU: 1150 W versus none
  • Bus interface: PCIe 5.0 x16 versus PCIe 4.0 x16
  • Display outputs: none versus portable device dependent
  • DirectX support: N/A versus 12 Ultimate (12_2)
  • OpenGL support: N/A versus 4.6
  • Vulkan support: N/A versus 1.4
  • Release date: 2023-12-05 versus 2023-03-20
  • Production status: not listed versus active
  • Predecessor: Radeon Instinct versus Ampere-MW
  • Successor: none versus Blackwell-MW

FAQ

Q: Which GPU has higher raw FP32 compute?

A: The AMD Instinct MI308X delivers 81.72 TFLOPS FP32, compared to 15.82 TFLOPS for the NVIDIA RTX 3500 Mobile Ada Generation.

Q: Can the AMD Instinct MI308X render graphics?

A: No. The Instinct MI308X has 0 ROPs, a pixel rate of 0 MPixel/s, no display outputs, and no DirectX, OpenGL, or Vulkan support. It is a compute-only accelerator.

Q: What is the memory capacity difference?

A: The Instinct MI308X has 192 GB of HBM3, while the RTX 3500 Mobile Ada Generation has 12 GB of GDDR6. The AMD part also has an 8192-bit bus versus the NVIDIA part's 192-bit bus.

Q: Does the NVIDIA RTX 3500 Mobile Ada Generation support ray tracing?

A: Yes, it includes 40 ray tracing cores. The AMD Instinct MI308X lists no ray tracing cores.

Q: Which GPU has higher memory bandwidth?

A: The Instinct MI308X has 5.32 TB/s, while the RTX 3500 Mobile Ada Generation has 432.0 GB/s.

Q: What are the power requirements for each?

A: The Instinct MI308X has a TDP of 750 W and a suggested PSU of 1150 W. The RTX 3500 Mobile Ada Generation has a TDP of 100 W and no suggested PSU listed.

The Verdict

The data indicates two completely different product categories. The AMD Instinct MI308X is a server-class compute accelerator built for massive parallel workloads. Its 81.72 TFLOPS FP32 output, 192 GB HBM3 memory, and 5.32 TB/s bandwidth make it the only choice for workloads that fit entirely in GPU memory and require sustained high-throughput computation. The 750 W TDP and OAM form factor confirm it belongs in a datacenter rack, not on a desktop.

The NVIDIA RTX 3500 Mobile Ada Generation is a mobile workstation GPU. Its 100 W TDP, IGP form factor, and portable device dependent display outputs make it suitable for laptops and compact systems. The 98.88 GPixel/s pixel rate, 40 ray tracing cores, and 160 tensor cores provide full graphics and AI acceleration for professional applications. The 12 GB GDDR6 capacity and 432.0 GB/s bandwidth are sufficient for mobile rendering tasks but not for large-scale compute.

For anyone selecting between these two, the choice is determined by the workload environment. A compute cluster processing large datasets requires the Instinct MI308X. A mobile workstation handling CAD, rendering, or AI inference at the edge requires the RTX 3500 Mobile Ada Generation. There is no overlap in their intended use cases, and the specification sheet makes that boundary clear. The Instinct MI308X trades all graphics capability for raw compute and memory scale. The RTX 3500 Mobile Ada Generation trades compute scale for mobility, graphics features, and power efficiency. Neither can substitute for the other.

DETAILED SPECIFICATIONS

SPECIFICATION
Instinct MI308X
RTX 3500 Mobile Ada Generation
Core Specs
Shading Units
19,456
5,120 -73.7%
Shaders
19,456
5,120 -73.7%
TMUs
1,216
160 -86.8%
ROPs
0
64 +∞%
Compute Units
304
—
SM Count
—
40
Clocks
Base Clock
1000 MHz
1110 MHz
Boost Clock
2100 MHz
1545 MHz
Memory Clock
1300 MHz 5.2 Gbps effective
2250 MHz 18 Gbps effective
Memory
Memory Size
192 GB
12 GB
VRAM (MB)
196,608
12,288 -93.8%
Memory Type
HBM3
GDDR6
Memory Bus
8192 bit
192 bit
Bandwidth
5.32 TB/s
432.0 GB/s
Cache
L1 Cache
16 KB (per CU)
128 KB (per SM)
L2 Cache
16 MB
48 MB
L3 Cache
256 MB
—
Performance
Pixel Rate
0 MPixel/s
98.88 GPixel/s
Texture Rate
2,553.6 GTexel/s
247.2 GTexel/s
FP32 (TFLOPS)
81.72 TFLOPS
15.82 TFLOPS
FP64 (TFLOPS)
40.86 TFLOPS (1:2)
247.2 GFLOPS (1:64)
FP16 (TFLOPS)
81.72 TFLOPS (1:1)
15.82 TFLOPS (1:1)
AI/RT
RT Cores
—
40
Tensor Cores
—
160
Matrix Cores
1,216
—
Power
TDP
750 W
100 W
TDP (W)
750
100 -86.7%
Suggested PSU
1150 W
—
Power Connectors
None
None
Architecture
Architecture
CDNA 3.0
Ada Lovelace
GPU Name
Aqua Vanjaram
AD104
Generation
Instinct (MIx)
Ada-MW (x000A)
Process Size
5 nm
5 nm
Transistors
153,000 million
35,800 million
Die Size
1017 mm²
294 mm²
Foundry
TSMC
TSMC
Density
150.4M / mm²
121.8M / mm²
AMD MCM
MCM
2
—
API Support
DirectX
—
12 Ultimate (12_2)
OpenGL
—
4.6
Vulkan
—
1.4
OpenCL
3.0
3.0
CUDA
—
8.9
Shader Model
—
6.8
Physical
Slot Width
OAM Module
IGP
Outputs
No outputs
Portable Device Dependent
Bus Interface
PCIe 5.0 x16
PCIe 4.0 x16
Other
Production
—
Active
Predecessor
Radeon Instinct
Ampere-MW
Successor
—
Blackwell-MW
View Instinct MI308X Details View RTX 3500 Mobile Ada Generation Details