NVIDIA Tesla M40 24 GB
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Tesla M40 24 GB Specifications
Tesla M40 24 GB GPU Core
Shader units and compute resources
The NVIDIA Tesla M40 24 GB 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.
Tesla M40 24 GB Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Tesla M40 24 GB'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 Tesla M40 24 GB by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Tesla M40 24 GB Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Tesla M40 24 GB'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.
Tesla M40 24 GB by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Tesla M40 24 GB, 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.
Tesla M40 24 GB Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Tesla M40 24 GB 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.
Maxwell 2.0 Architecture & Process
Manufacturing and design details
The NVIDIA Tesla M40 24 GB is built on NVIDIA's Maxwell 2.0 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 Tesla M40 24 GB will perform in GPU benchmarks compared to previous generations.
NVIDIA's Tesla M40 24 GB Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Tesla M40 24 GB 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 Tesla M40 24 GB to maintain boost clocks without throttling.
Tesla M40 24 GB by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Tesla M40 24 GB 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 Tesla M40 24 GB. 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.
Tesla M40 24 GB Product Information
Release and pricing details
The NVIDIA Tesla M40 24 GB 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 Tesla M40 24 GB by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Tesla M40 24 GB Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA Tesla M40 24 GB handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms. Higher scores benefit applications that leverage GPU acceleration for non-graphics workloads.
Top 5 Performers
Top 5 PerformersNearby Performers
Nearby Performersgeekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA Tesla M40 24 GB performs with next-generation graphics and compute workloads.
Top 5 Performers
Nearby Performers
About NVIDIA Tesla M40 24 GB
The NVIDIA Tesla M40 24 GB is a Maxwell 2.0 accelerator built on the GM200 chip using TSMC's 28 nm process. It carries 24 GB of GDDR5 memory on a 384-bit bus, with 288.4 GB/s of bandwidth, and is a dual-slot card with a 250 W TDP. The database lists no display outputs for this SKU, so this is a pure compute accelerator rather than a card for driving monitors.
Who Should Consider It
The M40 has no display outputs, so it cannot connect to a monitor. That makes conventional desktop desktop usage effectively impossible. Instead, the data points toward systems where a compute accelerator is installed alongside displays handled by other hardware. The card is marked as end-of-life and belongs to the Tesla Maxwell generation, with the Tesla Kepler family as its predecessor and Tesla Pascal as its successor.
For compute-oriented buyers, the headline specification is 24 GB of GDDR5 memory. Combined with a 384-bit memory interface and 288.4 GB/s of bandwidth, this points to workloads with large memory-resident data sets. The FP32 rate is 6.832 TFLOPS, and the texture rate is 213.5 GTexel/s, while the pixel rate is 106.8 GPixel/s. These figures place the M40 in a server or workstation accelerator role rather than a gaming graphics card role.
Because the database contains an empty benchmarks array and an average benchmark score of 0, there is no score-based resolution/settings recommendation to offer. The only positional statistic is the 50th percentile against all GPUs, meaning the card sits at the exact midpoint of the database's overall GPU distribution. With the nearestRivals list also empty, no comparative performance guidance can be derived from benchmark data. Anyone considering this card should therefore evaluate it from its raw compute specifications, not from aggregated test results.
The card's dual-slot width and 267 mm (10.5 inches) length are relevant for chassis fit. The desired system PSU is 600 W, and the power connector is 8-pin EPS. Buyers building around PCIe 3.0 x16 slots will find the interface supported. For workloads that fit in 24 GB of GDDR5 memory and do not require display output, the M40 remains a coherent option on paper. For anything that needs real-time graphics output or a modern game feature set, the lack of display outputs and the absence of RT and tensor cores argue strongly against it.
Ray Tracing and Feature Set
The fact pack lists no RT cores and no tensor cores. That means hardware-accelerated ray tracing and tensor-core-specific functions are not part of the Maxwell 2.0 feature set on this card. The feature set is built around the classic Maxwell arrangement: 3072 shading units, 192 texture mapping units, and 96 ROPs. The clock rates are 948 MHz base and 1112 MHz boost, with memory running at 1502 MHz, which the fact pack reports as 6 Gbps effective.
API support in the file includes DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. These APIs can be exercised for compute or off-screen rendering workloads, but because there are no display outputs, none of these APIs are tied to a connected panel. The architecture generation is listed as Tesla Maxwell, with the chip design using 8,000 million transistors across a 601 mm² die, for a transistor density of 13.3 million transistors per square millimeter.
The memory subsystem is substantial for an end-of-life accelerator: 24 GB of GDDR5 on a 384-bit path. The bus bandwidth of 288.4 GB/s is a fixed hardware ceiling, while the pixel rate of 106.8 GPixel/s and texture rate of 213.5 GTexel/s give peak fill-rate expectations. The absence of RT cores and tensor cores is the defining feature-set limitation; API-level ray tracing might be supported by the DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4 runtimes, but without dedicated hardware cores, that workload would land on the 3072 shading units and 6.832 TFLOPS of FP32 throughput.
Benchmark Performance
The benchmark data for the Tesla M40 24 GB is effectively absent from the database. The benchmarks array is empty, the average benchmark score is 0, and the nearestRivals list contains no entries. As a result, no deltaPct figures can be reported, and there are no rival names from which to frame percentage comparisons. Statements like “X percent ahead of Y” are impossible with this dataset. The one quantitative position available is the percentileVsAllGpus value of 50, which means the card falls at the median of all GPUs in the database. That is a positional measure, not a score.
The raw specification rates provide the only numerical performance indicators. The FP32 peak is 6.832 TFLOPS. The texture unit count of 192 combined with a 1112 MHz boost clock yields a texture rate of 213.5 GTexel/s, while the 96 ROPs at the same boost clock work out to 106.8 GPixel/s. These are theoretical throughput numbers, not observed frame rates or compute benchmark results. The memory bandwidth of 288.4 GB/s is the other key performance input.
Without an average benchmark score and without nearestRivals data, it is not possible to position this card relative to any named product. The 50th percentile placement is a useful context marker: the database places it above roughly half of all GPUs and below the other half. That is a broad categorization, not a specific performance delta. The card's production status as end-of-life and its 2015-11-09 release date suggest this is a Pascal-generation predecessor era product, but the data does not allow a percentage comparison against its successor, Tesla Pascal, or any other architecture.
In the absence of measured scores, the practical summary is simple: the M40 offers 6.832 TFLOPS of FP32, 288.4 GB/s of memory bandwidth, and 24 GB of GDDR5 capacity. Whether that suffices for a given workload depends on the workload, because the database has no benchmark results to confirm or deny real-world behavior.
FAQ
Q: Does the Tesla M40 24 GB have ray tracing cores?
A: No. The fact pack lists no RT cores for this card.
Q: Does it have tensor cores?
A: No. The fact pack lists no tensor cores.
Q: What is the memory configuration of the Tesla M40 24 GB?
A: It has 24 GB of GDDR5 memory on a 384-bit bus, with a bandwidth of 288.4 GB/s. The memory clock is 1502 MHz, which is reported as 6 Gbps effective.
Q: Does this card have display outputs?
A: No. The fact pack explicitly lists “No outputs” for display outputs.
Q: Which APIs does the card support?
A: The supported APIs are DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4.
Q: What is the power requirement?
A: The card has a TDP of 250 W, with a suggested PSU of 600 W and an 8-pin EPS power connector.
Q: What is the production status and generation?
A: The card is end-of-life, released on 2015-11-09. Its predecessor is Tesla Kepler and its successor is Tesla Pascal.
Power and Cooling
The Tesla M40 24 GB has a TDP of 250 W. That figure establishes the power draw expectation for the card itself. The fact pack lists a suggested PSU of 600 W, so any host system should be planned around that recommendation. The required power connector is 8-pin EPS, which is a specific connector type that must be present on the power supply.
The card's slot width is dual-slot, meaning it occupies two expansion slots in a chassis. The physical length is 267 mm, or 10.5 inches. Those dimensions affect case compatibility and nearby component clearance. The fact pack does not provide height or width data, so those dimensions cannot be stated.
Cooling is addressed only through the dual-slot designation; no cooler fan configuration or heatsink size is listed. The card does not have display outputs, so there are no display connections needing clearance near the rear bracket. The interface is PCIe 3.0 x16, which is the bus connection between the M40 and the host system. With a 250 W TDP and a 600 W suggested PSU, installers should ensure the power supply has the 8-pin EPS connector and the headroom to handle the card alongside other system components. The end-of-life production status means this is a legacy accelerator, but the power and physical specifications are clearly documented.
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