NVIDIA RTX A1000 Embedded
NVIDIA graphics card specifications and benchmark scores
Ray Tracing
Tensor CoresAt a Glance
NVIDIANVIDIA RTX A1000 Embedded Specifications
GPU Core
Shader units and compute resources
The NVIDIA RTX A1000 Embedded 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 A1000 Embedded Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the RTX A1000 Embedded'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 A1000 Embedded by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's RTX A1000 Embedded Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The RTX A1000 Embedded'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 A1000 Embedded by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the RTX A1000 Embedded, 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 A1000 Embedded Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA RTX A1000 Embedded 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 A1000 Embedded Ray Tracing & AI
Hardware acceleration features
The NVIDIA RTX A1000 Embedded 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 A1000 Embedded capable of delivering both stunning graphics and smooth frame rates in modern titles.
Ampere Architecture & Process
Manufacturing and design details
The NVIDIA RTX A1000 Embedded is built on NVIDIA's Ampere 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 A1000 Embedded will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA RTX A1000 Embedded 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 A1000 Embedded to maintain boost clocks without throttling.
RTX A1000 Embedded by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA RTX A1000 Embedded 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 A1000 Embedded. 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 A1000 Embedded Product Information
Release and pricing details
The NVIDIA RTX A1000 Embedded 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 A1000 Embedded by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA RTX A1000 Embedded
The NVIDIA RTX A1000 Embedded is a 35 W Ampere-generation module built around the GA107S chip, fabricated by Samsung on an 8 nm process. The die is 200 mm² and packs 8,700 million transistors, for a transistor density of 43.5M / mm². The database record lists an empty benchmark array, a zero average score, an empty nearestRivals array, and a 50th-percentile ranking among all GPUs, so the following analysis is specification-driven rather than frame-rate-driven.
Benchmark Performance
The benchmarks array for the RTX A1000 Embedded is empty. The avgBenchmarkScore field is 0, and the nearestRivals list contains no entries. As a result, exact percentage deltas against other GPUs cannot be computed from this database record. Any comparison expressed as a percentage would be invented rather than derived from data, so this section instead reports the raw throughput figures and the one relative ranking that is present.
The single relative data point is percentileVsAllGpus: 50. That places the module at the midpoint of all tracked GPUs in the database. It is neither a performance outlier at the top of the distribution nor a low-end straggler. In aggregate, the module sits directly in the middle of the field, although the field includes many desktop and mobile parts with very different power envelopes.
Without measured scores, the shader and memory configuration define the compute ceiling. The GA107S chip includes 2048 shading units, 64 texture mapping units, and 32 ROPs. At the 1140 MHz boost clock, peak FP32 throughput is 4.669 TFLOPS. FP16 is also 4.669 TFLOPS, listed at a 1:1 ratio with FP32. Peak pixel fill is 36.48 GPixel/s, and peak texture fill is 72.96 GTexel/s. These are the hard throughput limits for rasterization work that fits within the rest of the GPU resource envelope.
The clock specification starts with a 630 MHz base and expands to the 1140 MHz boost. That is a wide clock range, which indicates the module is designed to scale down substantially when the 35 W power envelope demands lower voltage and frequency. Sustained workloads that do not hit boost will operate at a lower effective rate.
Memory consists of 4 GB of GDDR6 on a 128-bit bus. The memory clock is 1750 MHz with 14 Gbps effective signaling, and the bus delivers 224.0 GB/s of bandwidth. The 4 GB capacity is the more restrictive resource. The bandwidth is sufficient to feed the 4.669 TFLOPS compute rate in many scenarios, but the frame buffer imposes a hard ceiling on the size of textures, geometry buffers, and acceleration structures that can reside on the GPU at once.
The production status is end-of-life. The predecessor listed is Quadro Turing-M, and the successor is Ada-MW. This positions the RTX A1000 Embedded as an Ampere-generation step between two other product families, but no benchmark scores are recorded for any of those three products in this database entry.
Who Should Consider It
The RTX A1000 Embedded is built for systems that use the MXM Module form factor. The slot width is listed as MXM Module, and display outputs are portable device dependent, meaning the host platform determines the physical display connectors. The bus interface is PCIe 4.0 x8, an 8-lane connection that suits embedded system integration.
The 4 GB GDDR6 frame buffer is the central consideration for workload selection. At lower resolutions, the 4.669 TFLOPS FP32 rate and 36.48 GPixel/s pixel rate can be exercised more freely because memory consumption tends to be smaller. At higher resolutions, the 4 GB capacity fills quickly, so texture quality and buffer sizes should be reduced to keep the working set within the frame buffer. Memory-bound scenes will hit the 224.0 GB/s bandwidth and 128-bit bus limits before the shader array saturates.
The module also includes 16 RT cores and 64 tensor cores. Developers who need ray tracing or tensor operations can use those resources, but the 4 GB memory limit applies to ray tracing acceleration structures and tensor intermediate data as well. A workload with heavy geometry and large textures will exhaust memory before it exhausts compute.
Because the TDP is only 35 W, the product is well suited to compact embedded platforms where cooling and power delivery are constrained. The MXM slot, the lack of power connectors, and the portable-device-dependent display outputs all point toward an integrated system, not a standalone desktop card. The 50th-percentile database ranking suggests a mid-pack part overall, but for an embedded module, the relevant factors are the Ampere feature set, the MXM footprint, the 35 W power draw, and the 4 GB memory boundary.
Settings should be chosen to keep the GPU resident data below 4 GB. Lower resolution, reduced texture pools, and conservative shading complexity represent the safe operating envelope. Users who need to run very large datasets or very high resolution assets should look for a part with more memory, since the 4 GB capacity and 224.0 GB/s bandwidth are firmly fixed in this specification.
Power and Cooling
The TDP for the RTX A1000 Embedded is 35 W. This is a low power figure, and it is the only power-related limit specified in the fact pack. No suggested PSU is listed, so the database record does not provide a host system power supply recommendation.
The power connector section is listed as None. The module does not require an external PCIe power cable; all power is expected to arrive through the slot. The slot type is MXM Module, so this is not a standard desktop expansion card arrangement. A system integrator building around this module will design the power delivery around the MXM interface rather than a separate connector.
Cooling details are minimal in the fact pack. No cooler dimensions, heatsink specifications, or fan requirements are listed. What is known is that the module dissipates up to 35 W and is an MXM Module, which is a compact, embedded form factor. The thermal solution is therefore a host-system design task: the module itself exposes no cooling hardware in the record, and the database entry contains no length, height, or width fields for the board.
The bus interface is PCIe 4.0 x8. That is an 8-lane PCIe 4.0 connection, and it is the data path between the module and the rest of the system. Display outputs are portable device dependent, so the host device must supply the actual display connectors. The absence of power connectors and the 35 W TDP make this a low-cabling module, which is consistent with an embedded product designed to be dropped into a carrier board.
FAQ
Q: What architecture does the NVIDIA RTX A1000 Embedded use?
A: It uses the Ampere architecture with the GA107S chip. It is fabricated by Samsung on an 8 nm process, with a die size of 200 mm² and 8,700 million transistors.
Q: How much memory and bandwidth does it have?
A: It has 4 GB of GDDR6 memory on a 128-bit bus. Bandwidth is 224.0 GB/s. The memory clock is 1750 MHz, with 14 Gbps effective signaling.
Q: Does it support ray tracing?
A: It includes 16 RT cores and lists DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 as API support. No ray tracing benchmark score is recorded in the fact pack.
Q: How many tensor cores does it have?
A: It has 64 tensor cores. FP16 throughput is 4.669 TFLOPS at a 1:1 ratio with FP32, which is also 4.669 TFLOPS.
Q: What are the power and connector requirements?
A: The TDP is 35 W. The power connector section is None, meaning no external power connectors are listed. The slot type is MXM Module, and the bus interface is PCIe 4.0 x8.
Q: Is this product still in production?
A: No. The production status is end-of-life. The release date is 2022-03-29. The predecessor is Quadro Turing-M, and the successor is Ada-MW.
Ray Tracing and Feature Set
The RTX A1000 Embedded carries the Ampere-generation feature set on the GA107S chip. The hardware block includes 16 RT cores and 64 tensor cores alongside 2048 shading units. The presence of RT cores gives the module the dedicated resources needed for hardware-accelerated ray tracing workloads, while the tensor cores provide support for tensor-based compute.
The API list is DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. DirectX 12 Ultimate (12_2) is the modern API path for feature-rich rendering, and Vulkan 1.4 provides an additional cross-vendor API route. OpenGL 4.6 remains available in the profile for compatibility contexts. No ray tracing benchmark results are recorded in this database entry, so the performance level of those RT cores cannot be quantified from the fact pack.
The tensor core count is 64. FP16 throughput is 4.669 TFLOPS, matching FP32 at a 1:1 ratio. This means half-precision compute is not shown as a separate higher figure in the specification; both precisions are listed at the same peak rate. The tensor cores would typically consume data at that rate, but the fact pack does not include a separate tensor benchmark or TOPS figure.
The generation field is Ampere-MW (Ax000), placing the product in the Ampere-MW line. The predecessor is Quadro Turing-M, and the successor is Ada-MW. The production status is end-of-life, so the feature set is now tied to a discontinued product. That does not change the hardware capabilities listed above, but it does mean the part is no longer an active production target.
Detailed benchmark scores and charts for the NVIDIA RTX A1000 Embedded are below.
Benchmark Scores
No benchmark data available for this GPU.
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