GEFORCE

NVIDIA RTX 6000 Ada Generation

NVIDIA graphics card specifications and benchmark scores

48 GB
VRAM
2505
MHz Boost
300W
TDP
384
Bus Width
Ray Tracing Tensor Cores

At a Glance

NVIDIA
VRAM 48 GB
Boost Clock 2,505 MHz
Shaders 18,176
Bus Width 384-bit
TDP 300W
Memory Type GDDR6
RT Cores 142
Architecture Ada Lovelace
nm
Process 5 nm
Released Dec 2022

NVIDIA RTX 6000 Ada Generation Specifications

GPU Core

Shader units and compute resources

The NVIDIA RTX 6000 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.

Shading Units
18,176
Shaders
18,176
TMUs
568
ROPs
192
SM Count
142

RTX 6000 Ada Generation Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the RTX 6000 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 6000 Ada Generation by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

Base Clock
915 MHz
Base Clock
915 MHz
Boost Clock
2505 MHz
Boost Clock
2,505 MHz
Memory Clock
2500 MHz 20 Gbps effective
GDDR GDDR 6X 6X

NVIDIA's RTX 6000 Ada Generation Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The RTX 6000 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.

Memory Size
48 GB
VRAM
49,152 MB
Memory Type
GDDR6
VRAM Type
GDDR6
Memory Bus
384 bit
Bus Width
384-bit
Bandwidth
960.0 GB/s

RTX 6000 Ada Generation by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the RTX 6000 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.

L1 Cache
128 KB (per SM)
L2 Cache
96 MB

RTX 6000 Ada Generation Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA RTX 6000 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.

FP32 (Float)
91.06 TFLOPS
FP64 (Double)
1,422.8 GFLOPS (1:64)
FP16 (Half)
91.06 TFLOPS (1:1)
Pixel Rate
481.0 GPixel/s
Texture Rate
1,422.8 GTexel/s

RTX 6000 Ada Generation Ray Tracing & AI

Hardware acceleration features

The NVIDIA RTX 6000 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 6000 Ada Generation capable of delivering both stunning graphics and smooth frame rates in modern titles.

RT Cores
142
Tensor Cores
568

Ada Lovelace Architecture & Process

Manufacturing and design details

The NVIDIA RTX 6000 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 6000 Ada Generation will perform in GPU benchmarks compared to previous generations.

Architecture
Ada Lovelace
GPU Name
AD102
Process Node
5 nm
Foundry
TSMC
Transistors
76,300 million
Die Size
609 mm²
Density
125.3M / mm²

Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA RTX 6000 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 6000 Ada Generation to maintain boost clocks without throttling.

TDP
300 W
TDP
300W
Power Connectors
1x 16-pin
Suggested PSU
700 W

RTX 6000 Ada Generation by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA RTX 6000 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.

Slot Width
Dual-slot
Length
267 mm 10.5 inches
Height
112 mm 4.4 inches
Bus Interface
PCIe 4.0 x16
Display Outputs
4x DisplayPort 1.4a
Display Outputs
4x DisplayPort 1.4a

NVIDIA API Support

Graphics and compute APIs

API support determines which games and applications can fully utilize the NVIDIA RTX 6000 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.

DirectX
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
OpenGL
4.6
OpenGL
4.6
Vulkan
1.4
Vulkan
1.4
OpenCL
3.0
CUDA
8.9
Shader Model
6.8

RTX 6000 Ada Generation Product Information

Release and pricing details

The NVIDIA RTX 6000 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 6000 Ada Generation by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.

Manufacturer
NVIDIA
Release Date
Dec 2022
Launch Price
6,799 USD
Production
End-of-life
Predecessor
Workstation Ampere
Successor
Blackwell PRO W

About NVIDIA RTX 6000 Ada Generation

The NVIDIA RTX 6000 Ada Generation sits at the absolute apex of the consumer and professional GPU hierarchy, holding a perfect 100th percentile ranking against all other graphics cards in the benchmark database. Based on the AD102 chip on TSMC's 5 nm process, this workstation-class card delivers an average benchmark score of 281,932, a figure that places it in a dead heat with its closest sibling while maintaining a decisive edge over other enterprise accelerators. The data indicates a GPU engineered for uncompromising compute throughput, with a transistor count of 76,300 million packed into a 609 mm² die.

Benchmark Performance

The RTX 6000 Ada's raw compute capabilities are staggering, driven by 18,176 shading units operating at a boost clock of 2505 MHz. This configuration yields 91.06 TFLOPS of FP32 performance and an identical 91.06 TFLOPS for FP16, indicating a 1:1 ratio that prioritizes parallel throughput over specialized half-precision acceleration. The texture rate reaches 1,422.8 GTexel/s across 568 TMUs, while the 192 ROPs deliver a pixel rate of 481.0 GPixel/s. In synthetic workloads, the card scores 311,629 in Geekbench OpenCL and 252,235 in Geekbench Vulkan, demonstrating robust performance across both compute and graphics API paths.

Comparing the average benchmark score of 281,932 against the nearest rivals reveals a tightly contested field at the top. The NVIDIA L40, with an average score of 281,655, trails by a mere 0.1 percent — a statistical tie that indicates these two cards are effectively interchangeable in raw throughput. The L40S pulls ahead by 3.6 percent with a score of 292,603, suggesting that specific optimizations in that card's firmware or memory configuration yield a tangible advantage in aggregate testing. Conversely, the RTX 6000 Ada holds a 5.8 percent lead over the L20 (score 266,428), which is a substantial margin for workstation-class hardware. The H200 NVL, a data-center behemoth with a score of 305,608, outpaces the RTX 6000 Ada by 7.7 percent, underscoring that the latter is not the absolute fastest accelerator available but rather the most balanced high-end workstation offering.

Memory Subsystem

Memory capacity and bandwidth are critical for professional workloads, and the RTX 6000 Ada leaves little on the table. It features 48 GB of GDDR6 memory on a 384-bit bus, yielding a bandwidth of 960.0 GB/s. The memory clock runs at 2500 MHz, translating to 20 Gbps effective data rate per pin. This configuration is particularly well-suited for high-resolution rendering and large dataset manipulation, as the 48 GB frame buffer can accommodate massive scenes, complex 3D models, and multi-layer compositing without spilling to system memory.

At 4K and beyond, the bandwidth of 960.0 GB/s becomes a limiting factor for some workloads, but benchmark data suggests it is sufficient to keep the 18,176 shading units fed in most scenarios. The 384-bit bus width is a mature design choice that balances cost and complexity against throughput, and the GDDR6 type, while not as fast as GDDR6X, offers higher density and lower latency in capacity-focused tasks. For AI inference and training on local workstations, the 48 GB capacity is the standout feature — it allows loading larger models than the 24 GB or 32 GB alternatives, which is directly reflected in the card's competitive average score. The memory subsystem's performance relative to the L40S, which edges ahead in aggregate score, suggests that the L40S may benefit from a more efficient memory controller or higher effective clock, but the RTX 6000 Ada's capacity advantage remains a decisive factor for memory-bound professional applications.

Ray Tracing and Feature Set

The RTX 6000 Ada Generation incorporates 142 RT cores and 568 tensor cores, delivering hardware-accelerated ray tracing and AI-accelerated compute that are essential for modern rendering workflows. The API support is comprehensive: DirectX 12 Ultimate (12_2) ensures compatibility with the latest gaming and visualization engines, OpenGL 4.6 provides legacy application support, and Vulkan 1.4 offers low-overhead access for cross-platform development. Display output is handled by four DisplayPort 1.4a connectors, which supports high-resolution multi-monitor setups, though it lacks the newer DisplayPort 2.0 standard found in some consumer cards.

The RT core count of 142 is substantial, and the tensor cores at 568 are equally impressive, but the benchmark data does not isolate ray tracing performance from rasterization. Instead, the Geekbench Vulkan score of 252,235 provides a holistic view of graphics performance, which includes RT workloads when applicable. The 1:1 FP16/FP32 ratio indicates that the tensor cores are not being used for dedicated half-precision matrix operations at higher throughput, which is a deliberate design choice for workstation tasks where precision matters more than speed. For users relying on AI denoising, DLSS-style upscaling, or neural network inference, the tensor cores provide the necessary compute, but the lack of FP16 acceleration means the card does not excel in pure AI training tasks compared to data-center-specific GPUs.

How It Compares

Against the NVIDIA L40, the RTX 6000 Ada is effectively a mirror image in performance, with a delta of just 0.1 percent in favor of the latter. The L40's average score of 281,655 is within noise of the RTX 6000 Ada's 281,932, making the choice between them dependent on factors other than raw compute — such as memory capacity or software ecosystem, which are not captured in these aggregate benchmarks.

The NVIDIA L40S presents a steeper challenge, outperforming the RTX 6000 Ada by 3.6 percent with a score of 292,603. This gap is consistent across most workloads and suggests that the L40S has a more aggressive clock profile or memory tuning. However, the RTX 6000 Ada's 48 GB frame buffer may still give it an edge in memory-bound scenarios, despite the L40S's higher aggregate score.

The NVIDIA L20 is a clear step down, with a score of 266,428 that is 5.8 percent lower than the RTX 6000 Ada. This delta is significant in absolute terms and confirms that the RTX 6000 Ada is the superior choice for compute-intensive tasks, though the L20 may offer better power efficiency or a lower launch MSRP that justifies its existence in certain deployments.

The NVIDIA H200 NVL is the only rival that decisively beats the RTX 6000 Ada, achieving 305,608 — a 7.7 percent advantage. This is expected, as the H200 NVL is a data-center focused accelerator with a different memory architecture and higher thermal envelope. For workstation users, the RTX 6000 Ada's 7.7 percent deficit is a reasonable trade-off for a dual-slot form factor and a 300 W TDP, which are more practical for desktop integration than the H200 NVL's larger footprint.

Who Should Consider It

The RTX 6000 Ada Generation is targeted at professionals who require maximum performance in a single workstation GPU without resorting to multi-GPU configurations. Benchmark results indicate that it excels in OpenCL compute tasks, with a score of 311,629 that places it in the top 100th percentile of all GPUs. For users working with 4K or 8K video editing, complex CAD models, or photorealistic rendering, the 48 GB memory and 960.0 GB/s bandwidth ensure that scene complexity does not become a bottleneck.

The card is less suited for pure AI training, where the 1:1 FP16 ratio and the 7.7 percent deficit to the H200 NVL suggest that data-center GPUs are more appropriate. However, for inference, prototyping, or running large models locally, the 48 GB capacity is a compelling advantage that no rival in the nearestRivals list matches. Gaming performance is secondary, but the DirectX 12 Ultimate support and 91.06 TFLOPS of FP32 mean it can handle any game at maximum settings in 4K, albeit with a workstation-grade price-to-performance ratio.

The RTX 6000 Ada is the right choice for professionals who need a single-slot-adjacent, dual-slot card with a 300 W TDP and a 1x 16-pin power connector, requiring a 700 W system power supply. It is end-of-life, with a successor in the Blackwell PRO W line, but its benchmark scores remain competitive against current rivals — the 0.1 percent gap to the L40 and 5.8 percent lead over the L20 demonstrate that it is still a relevant option for high-end workstations. For users who prioritize raw compute in a desktop form factor and have workloads that fit within 48 GB of memory, the RTX 6000 Ada Generation remains a top-tier selection, even as newer hardware enters the market. Its launch MSRP of 6,799 USD positions it as a premium product, but the benchmark data justifies this position for those who demand the highest available performance in a single GPU.

Detailed benchmark scores and charts for the NVIDIA RTX 6000 Ada Generation are below.

Benchmark Scores

geekbench_openclSource

Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA RTX 6000 Ada Generation handles parallel computing tasks like video encoding and scientific simulations.

geekbench_opencl #10 of 650
311,629
80%
Max: 388,405
Compare with other GPUs

geekbench_vulkanSource

Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA RTX 6000 Ada Generation performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL.

geekbench_vulkan #6 of 446
262,845
70%
Max: 376,915

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