NVIDIA RTX 3500 Embedded Ada Generation
NVIDIA graphics card specifications and benchmark scores
Ray Tracing
Tensor CoresAt a Glance
NVIDIANVIDIA RTX 3500 Embedded Ada Generation Specifications
RTX 3500 Embedded Ada Generation GPU Core
Shader units and compute resources
The NVIDIA RTX 3500 Embedded Ada Generation 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.
RTX 3500 Embedded Ada Generation Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the RTX 3500 Embedded Ada Generation'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 RTX 3500 Embedded Ada Generation by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's RTX 3500 Embedded Ada Generation Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The RTX 3500 Embedded Ada Generation'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.
RTX 3500 Embedded Ada Generation by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the RTX 3500 Embedded Ada Generation, 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.
RTX 3500 Embedded Ada Generation Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA RTX 3500 Embedded Ada Generation 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.
RTX 3500 Embedded Ada Generation Ray Tracing & AI
Hardware acceleration features
The NVIDIA RTX 3500 Embedded Ada Generation includes dedicated hardware for ray tracing and AI acceleration. RT cores handle real-time ray tracing calculations for realistic lighting, reflections, and shadows in supported games. Tensor cores (NVIDIA) or XMX cores (Intel) accelerate AI workloads including DLSS, FSR, and XeSS upscaling technologies. These features enable higher visual quality without proportional performance costs, making the RTX 3500 Embedded Ada Generation capable of delivering both stunning graphics and smooth frame rates in modern titles.
Ada Lovelace Architecture & Process
Manufacturing and design details
The NVIDIA RTX 3500 Embedded Ada Generation is built on NVIDIA's Ada Lovelace 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 RTX 3500 Embedded Ada Generation will perform in GPU benchmarks compared to previous generations.
NVIDIA's RTX 3500 Embedded Ada Generation Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA RTX 3500 Embedded Ada Generation 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 RTX 3500 Embedded Ada Generation to maintain boost clocks without throttling.
RTX 3500 Embedded Ada Generation by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA RTX 3500 Embedded Ada Generation 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.
NVIDIA API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the NVIDIA RTX 3500 Embedded Ada Generation. 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.
RTX 3500 Embedded Ada Generation Product Information
Release and pricing details
The NVIDIA RTX 3500 Embedded Ada Generation is manufactured by NVIDIA 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 RTX 3500 Embedded Ada Generation by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
RTX 3500 Embedded Ada Generation Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA RTX 3500 Embedded Ada Generation
The NVIDIA RTX 3500 Embedded Ada Generation is an active embedded GPU built around the AD104 chip and Ada Lovelace architecture. TSMC's 5 nm process packs 35,800 million transistors into a 294 mm² die, giving a transistor density of 121.8M per mm². The database record lists its series as GeForce 30-series, and its generation as Ada-MW. Released on 2023-03-20, it sits between the Ampere-MW and Blackwell-MW generations in the product progression.
Benchmark Performance
The benchmark record for this GPU is effectively empty: the benchmarks array contains no entries, averageBenchmarkScore is 0, and nearestRivals contains no rivals. This means exact percentage deltas against competing GPUs cannot be reported; there is no head-to-head data in the database for this part.
What exists instead are spec-derived throughput values. FP32 compute is 23.04 TFLOPS, FP16 is 23.04 TFLOPS (1:1), pixel fill is 144.0 GPixel/s, and texture fill is 360.0 GTexel/s. These figures come from 5120 shading units, 160 texture mapping units, and 64 ROPs. Base clock is 1725 MHz and boost clock is 2250 MHz. These are the numbers that describe raw shading and texturing capacity, though they are not benchmark scores.
The only relative placement is percentileVsAllGpus, which is 50. That places the RTX 3500 Embedded Ada Generation at the midpoint of all GPUs tracked by the database: half of all GPUs rank above, half below. Because the average benchmark score is 0, that percentile reflects database position rather than validated measured performance. Readers should therefore treat the 50th percentile as a placeholder until benchmark entries appear, not as evidence of a tested result.
Without nearestRivals data, there are no "ahead by X percent" statements to make. The spec sheet indicates a 5120-shader part with high boost clocks and a 100 W TDP, but that combination is not quantified against any rival in this record. The transistor density of 121.8M per mm² is a manufacturing metric, not a performance metric, and it should not be read as a competitive benchmark.
Ray Tracing and Feature Set
Ray tracing acceleration is handled by 40 RT cores, while tensor work is handled by 160 tensor cores. Both are fixed-function blocks within the same AD104 die that contains 5120 shading units. The API support is DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. DirectX 12 Ultimate (12_2) is the feature-level designation for modern ray-traced rendering; Vulkan 1.4 provides a cross-platform low-level API path. OpenGL 4.6 is available for compatibility with older workloads.
The part has no display outputs — the field reads "No outputs" — and its slot width is IGP. This matters for feature deployment: the GPU's RT and tensor units are intended to be driven by a host system rather than to drive a monitor directly. The feature set is therefore oriented toward embedded compute and rendering tasks.
FP16 throughput is 23.04 TFLOPS at a 1:1 ratio with FP32. Combined with 160 tensor cores, this gives the Ada Lovelace part a usable FP16 path for tensor workloads. The 40 RT cores provide the hardware traversal and intersection work needed for ray-traced rendering on supported APIs. DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 define the API boundaries for those workloads.
How It Compares
The nearestRivals array is empty. Therefore there are no rival names, no rival scores, and no deltaPct values to present. This section cannot provide per-rival paragraphs because the data record does not contain any nearest-rival entries.
What the record does provide is product lineage. The predecessor is Ampere-MW, and the successor is Blackwell-MW. Generation is listed as Ada-MW. The RTX 3500 Embedded Ada Generation is therefore a mid-generation embedded part in the Ada-MW line, released 2023-03-20 and still marked Active in production status.
The series field (GeForce 30-series) differs from the architecture field (Ada Lovelace). That is the only classification discrepancy to note; any comparison that assumes this part is equivalent to another GeForce 30-series product would need benchmark data to support it. The database currently offers no such benchmark data.
The global percentile is 50, which is the only relative metric available. In the absence of nearest rivals, this percentile and the predecessor/successor chain are the only positional facts on record. The average benchmark score remains 0, so no measured performance offset can be derived from the database.
FAQ
Q: Does the RTX 3500 Embedded Ada Generation have dedicated ray tracing hardware?
A: Yes. It includes 40 RT cores, and the API support covers DirectX 12 Ultimate (12_2) and Vulkan 1.4.
Q: What is the memory configuration?
A: 12 GB of GDDR6 on a 192-bit bus, with 432.0 GB/s bandwidth. The memory clock is 2250 MHz, which the record lists as 18 Gbps effective.
Q: What power supply does it require?
A: The suggested PSU is 300 W. The GPU has no power connectors and its TDP is 100 W.
Q: Does it have display outputs?
A: No. The displayOutputs field is "No outputs", and the slot width is IGP, indicating an embedded package rather than a discrete board.
Q: What compute throughput does it offer?
A: FP32 is 23.04 TFLOPS and FP16 is 23.04 TFLOPS (1:1). The GPU has 5120 shading units, 160 TMUs, and 64 ROPs.
Q: When was it released, and is it still being produced?
A: The release date is 2023-03-20, and the production status is Active.
Memory Subsystem
The memory subsystem uses 12 GB of GDDR6 with a 192-bit bus width. The memory clock is 2250 MHz and the effective data rate is 18 Gbps. Total bandwidth is 432.0 GB/s. Both the 2250 MHz clock and the 18 Gbps effective rate describe the same GDDR6 signaling rate.
For high-resolution workloads, the two relevant numbers are capacity and bandwidth. 12 GB defines how much scene data, textures, and intermediate buffers can reside on the GPU at once. 432.0 GB/s defines how quickly that data can be moved. The memory system is paired with 23.04 TFLOPS of FP32 compute, though the relationship is not a benchmark result; it is a specification pairing.
The host interface is PCIe 4.0 x16, which is the transfer path between the GPU and the rest of the system. Since the slot width is IGP, the memory subsystem is implemented in an embedded form factor, not as a separate expansion card. The absence of display outputs further reinforces that this memory is used for compute and rendering workloads rather than display scanout.
Power and Cooling
TDP is 100 W, and the suggested power supply is 300 W. The power connector field reads "None", so no auxiliary PCIe power cables are required. The slot width is IGP, meaning the GPU is designed for integration into a host board rather than installation into an expansion slot.
The 5 nm TSMC process and 100 W TDP are the power-related facts in the record. No cooler specifications are listed, and no dimensions are recorded, so thermal solution details are not available. The absence of display outputs and auxiliary power connectors reinforces that this is an embedded compute part, not a typical add-in graphics card. The 300 W suggested PSU is the system-level recommendation, while the 100 W TDP describes the GPU itself.
The AMD Equivalent of RTX 3500 Embedded Ada Generation
Looking for a similar graphics card from AMD? The AMD Radeon RX 7600 offers comparable performance and features in the AMD lineup.
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