NVIDIA Tesla M2070

The NVIDIA Tesla M2070 is a dual-slot compute accelerator from the Tesla Fermi (x20xx) generation, built on the GF100 chip using TSMC's 40 nm process. The die integrates 3,100 million transistors on a 529 mm² surface, for a transistor density of 5.9M / mm². Its GPU configuration includes 448 shading units, 56 texture units and 48 ROPs, with 6 GB of GDDR5 on a 384-bit bus. Released on 2011-07-24, this end-of-life card carries a 225 W TDP and draws power from 1x 6-pin + 1x 8-pin connectors.

How It Compares

The nearestRivals list for the Tesla M2070 is empty. There are no rival names, scores, or deltaPct values in the FACT PACK, so a side-by-side comparison against specific graphics cards cannot be made from this data. The only comparative field is percentileVsAllGpus, which places the M2070 at the 50th percentile of all GPUs in the database. That is the midpoint of the distribution, but it is not supported by recorded measurements: the benchmarks array is empty and the avgBenchmarkScore field is 0.

In the broader product stack, the M2070 is positioned with Tesla as its predecessor and Tesla Kepler as its successor. That places it in the earlier Fermi-based Tesla line, before the architecture transitioned to Kepler. No rival-vs-rival delta percentages can be calculated because the required nearestRivals data is absent. The 50th percentile is therefore a neutral database position rather than a demonstrated performance ranking against any particular card.

The theoretical specifications do give some context. The GPU is rated at 1,030.4 GFLOPS of FP32 compute, 32.14 GTexel/s of texture fill, and 16.07 GPixel/s of pixel throughput. Those are peak rates from the specification table, not measured application scores, so they should not be mistaken for benchmark results.

Power and Cooling

The Tesla M2070 has a TDP of 225 W. The suggested PSU for a system using this card is 550 W. The card requires both a 1x 6-pin PCIe power connector and a 1x 8-pin PCIe power connector, so the power supply must provide both cable types. The dual-slot design means the card occupies the width of two expansion slots, and the board itself is 248 mm / 9.8 inches long. Those physical dimensions matter for case fit and for clearance in dense compute systems.

The interface is PCIe 2.0 x16, which is the host connection used for data transfer rather than display output. There are no display outputs on this card, so no monitor power or signal connections are involved. From a power and cooling standpoint, the key constraints are the 225 W TDP, the 550 W suggested PSU, the two auxiliary power connectors, and the dual-slot footprint. The length of 248 mm / 9.8 inches is moderate, but the dual-slot width still needs to be accounted for when planning chassis airflow and adjacent slot usage.

Benchmark Performance

No benchmark scores are recorded for the Tesla M2070 in this database. The benchmarks array is empty, and the avgBenchmarkScore field is 0. Without measured scores, there is no basis for comparing the M2070 to rival products using actual workload performance. The nearestRivals array is also empty, so no deltaPct values exist to quantify how far ahead or behind another GPU this card might be.

The available numbers are theoretical hardware rates. The FP32 throughput is 1,030.4 GFLOPS. Texture fill is rated at 32.14 GTexel/s, and pixel fill is rated at 16.07 GPixel/s. These figures are derived from the 448 shading units, 56 texture units and 48 ROPs in the GF100 configuration. They represent peak arithmetic and fill capabilities, not application-level frame rates or compute job completion times.

The clock table does not list base, boost, or game clock values. Only the memory clock is specified, at 783 MHz with 3.1 Gbps effective data rate. The absence of core clock data further limits performance analysis. The 50th percentile field is the only ranking metric, and with an average benchmark score of 0 it should be read as a database midpoint rather than as a validated performance result.

Who Should Consider It

The Tesla M2070 is a compute-oriented card with no display outputs. That makes it unsuitable for directly driving monitors, and it means the card has no interactive desktop or gaming display path in the traditional sense. The 6 GB GDDR5 memory pool and 384-bit bus do suggest a card intended for workloads that need larger working sets, but the database contains no benchmark scores to confirm how that memory capacity translates into real-world performance for any particular application.

Because there are no measured scores, resolution-based or settings-based recommendations cannot be grounded in benchmark data. The 50th percentile across all GPUs is too coarse to support claims about specific in-game settings. The product is also end-of-life, so it is a legacy part in the current market. Consideration should be limited to systems or tasks that specifically require the Fermi architecture, the Tesla compute feature set, or the 6 GB memory configuration.

Potential users should validate the card against their own workload expectations. Without recorded scores and without nearest-rival comparisons, the M2070's practical capability has to be judged externally, not from this database entry. The theoretical FP32 throughput of 1,030.4 GFLOPS and the 150.3 GB/s memory bandwidth provide starting points, but they do not substitute for actual workload testing.

Ray Tracing and Feature Set

The Tesla M2070 specification lists no RT cores and no tensor cores. Both the rtCores and tensorCores fields are null, meaning the card has no dedicated ray tracing hardware and no dedicated tensor processing blocks in the reported specification. The feature set is therefore built around the Fermi architecture and the GF100 chip, with traditional shader and raster resources doing the work.

The API support listed is DirectX 12 (11_0) and OpenGL 4.6. Vulkan support is not listed in the data, as the vulkan field is null. The card has no display outputs, which reinforces its role as a compute accelerator rather than a consumer graphics product. The FP16 field is also null, so only FP32 throughput is documented at 1,030.4 GFLOPS.

With no RT cores and no tensor cores, ray tracing and AI-acceleration features that rely on dedicated hardware are not present in this part's feature set. The card's capabilities are tied to the Fermi generation's compute and rasterization design. The 40 nm process node, TSMC foundry, and 529 mm² die size are all part of that design context, as is the 3,100 million transistor count.

Memory Subsystem

The memory subsystem is one of the clearest aspects of the Tesla M2070's specification. It includes 6 GB of GDDR5 memory on a 384-bit bus, with a memory clock of 783 MHz and an effective data rate of 3.1 Gbps. That combination produces 150.3 GB/s of memory bandwidth.

For a card of this generation, the 384-bit bus is a significant specification. A wide bus allows more data to move between the GPU and memory in a single cycle, which matters when large data sets or high-resolution textures are being accessed. The 6 GB capacity is also notable for the Fermi era, since larger memory pools reduce the need to swap data in and out of the GPU.

The memory figure of 150.3 GB/s is the actual bandwidth reported in the FACT PACK. At high resolutions, memory capacity and bandwidth are relevant factors, but the M2070 has no display outputs, so its memory is better understood as a compute buffer resource rather than a display framebuffer. The data does not include benchmark scores to show exactly how 6 GB and 150.3 GB/s affect high-resolution workloads. Still, the large capacity and wide bus are the parameters that matter most for memory-bound compute tasks.