{"slug": "solidigm-d7-ps1030-review-3-dwpd-gen5-that-earned-its-keep-in-the-kv-cache-tier", "title": "Solidigm D7-PS1030 Review: 3 DWPD Gen5 That Earned Its Keep in the KV Cache Tier", "summary": "Solidigm's D7-PS1030, a 3 DWPD PCIe 5.0 data center SSD, delivered 1.9GB/s of continuous KV cache writes in a Dell PowerEdge XE7740 array, sustaining roughly 3.2 drive writes per day under mirroring, a workload that validates its endurance-focused design. The 12.8TB E3.S model is rated for 2.75 million random read IOPS, 800K random write IOPS, 14,500 MB/s sequential read, and 10,000 MB/s sequential write, with 70PBW endurance and 2.5-million-hour MTBF.", "body_md": "The Solidigm D7-PS1030 is the mid-endurance arm of the company’s first PCIe 5.0 data center family, pairing the platform it shares with the D7-PS1010 with a 3 DWPD rating and a random write ceiling of up to 800K IOPS, double the 400K of its standard-endurance sibling. The family ranges from 1.6TB to 12.8TB across E3.S and U.2, using 176-layer TLC NAND, with rated performance up to 14,500 MB/s sequential read and 10,000 MB/s sequential write. Solidigm targets write-centric and mixed workloads: OLTP, metadata logging, HPC, and AI/ML pipelines where write pressure never lets up. Our review unit is the 12.8TB E3.S model.\n\nThis is not our first time with this drive; however, it is the first time a single drive has been benchmarked. Eight of these same 12.8TB units carried the flash tier in [our KV cache offload work](https://www.storagereview.com/review/the-token-efficient-path-for-long-context-inference-kv-cache-offload-to-flash) on the Dell PowerEdge XE7740, where the array sustained 1.9GB/s of continuous KV writes around the clock, a duty cycle that works out to roughly 3.2 drive writes per day per drive under mirroring, or about 1.6 DWPD striped as RAID0. That is exactly the bracket the PS1030’s 3 DWPD rating is built to straddle: KV offload is a workload where endurance, not capacity or peak speed, is the defining constraint of the tier. The read-intensive class that dominates Gen5 headlines would burn through its 1 DWPD budget quickly with that duty.\n\nAt 12.8TB, Solidigm rates the drive at 2.75 million 4K random read IOPS and a full 800K random write IOPS, with the family’s 3.1M random read peak living lower in the capacity stack. Active power is 23W typical and 5W idle, in line with the Gen5 field, with five configurable power states from 5W to 25W for operators working against a fixed rack budget. Solidigm also makes two additional claims worth noting: up to 70% better energy efficiency than comparable drives, and up to 90% IOPS consistency across the life of the drive. Endurance can also be spent faster over shorter horizons; the same media supports 4.98 DWPD over a three-year period, and the 12.8TB model is rated for 70PB written either way. Reliability specs are in line with the class: 2.5-million-hour MTBF, a five-year warranty, and a UBER Solidigm test to 1E-18. Security options include TCG Opal 2.02 SED trim, FIPS 140-3 Level 2-certifiable hardware, OCP-standard secure boot and firmware signing, plus device attestation and key revocation.\n\n## Solidigm D7-PS1030 Specifications\n\nSpecification |\nSolidigm D7-PS1030 (12.8TB E3.S, family range noted) |\n|---|---|\nPlatform Overview |\n|\nCapacities |\n1.6TB 3.2TB 6.4TB 12.8TB (as tested) |\nForm Factors |\nE3.S 7.5mm (as tested) U.2 15mm |\nInterface / Protocol |\nPCIe 5.0 x4, NVMe |\nNAND |\nSolidigm 176-layer TLC 3D NAND |\nPerformance (Up To, Vendor Rated) |\n|\nSequential Read (128K) |\n14,500 MB/s (family) |\nSequential Write (128K) |\n10,000 MB/s (family) |\nRandom Read (4K) |\n2,750K IOPS (12.8TB) Up to 3,100K IOPS (family peak) |\nRandom Write (4K) |\n800K IOPS |\nPower and Endurance |\n|\nPower (Active / Idle) |\n23W typ. / 5W typ. Five configurable power states, 5W to 25W |\nEndurance |\n3.0 DWPD (5-year basis) 4.98 DWPD (3-year basis) 70 PBW at 12.8TB |\nReliability and Security |\n|\nMTBF / UBER |\n2,500,000 hours Tested to 1E-18 |\nSecurity |\nTCG Opal 2.02 (SED variant) FIPS 140-3 Level 2 certifiable OCP-standard Secure Boot and firmware signing Device attestation, key revocation |\nWarranty |\n5 Years |\n\n## Solidigm D7-PS1030 Performance\n\nThe context for the charts that follow is that the PS1030 lands in our comparison field as the mixed-use counterweight to the read-intensive drives that have driven recent Gen5 coverage. Against the [KIOXIA CD9P-R](https://www.storagereview.com/review/kioxia-cd9p-r-review-read-intensive-gen5-up-to-61-44tb) we reviewed in June, the PS1030 gives up rated sequential read (14,500 vs 14,800 MB/s) but nearly doubles rated random write (800K vs 450K IOPS) and triples the write budget (3 vs 1 DWPD). Its closest philosophical rival in the group is the [Micron 7600 MAX](https://www.storagereview.com/review/micron-7600-max-review), the other 3 DWPD drive in the field, with the Micron 9550 MAX bringing the performance-tier mixed-use fight at the same 12.8TB capacity as our unit.\n\n### Drive Testing Platform\n\nWe use a Dell PowerEdge R760 running Ubuntu 22.04.2 LTS as our test platform for all workloads in this review. Equipped with a Serial Cables Gen5 JBOF, it offers wide compatibility with U.2, E1.S, E3.S, and M.2 SSDs. Our system configuration is outlined below:\n\n- 2 x Intel Xeon Gold 6430 (32-Core, 2.1GHz)\n- 16 x 64GB DDR5-4400\n- 480GB Dell BOSS SSD\n- Serial Cables Gen5 JBOF\n- NVIDIA L4\n\n### Drives Compared\n\n[KIOXIA CD9P-R 7.68TB](https://www.storagereview.com/review/kioxia-cd9p-r-review-read-intensive-gen5-up-to-61-44tb)(1 DWPD)- KIOXIA CM9-R 15.36TB (1 DWPD)\n[SanDisk DC SN861 7.68TB](https://www.storagereview.com/review/western-digital-sn861-gen5-ssd-versatile-solutions-for-modern-hyperscale-and-enterprise-needs)(1 DWPD)[Solidigm PS1010 7.68TB](https://www.storagereview.com/review/solidigm-ps1010-ssd-review)(1 DWPD)[Micron 7600 MAX 6.4TB](https://www.storagereview.com/review/micron-7600-max-review)(3 DWPD)[Micron 9550 MAX 12.8TB](https://www.storagereview.com/review/micron-9550-max-review-balanced-performance-for-ai-db-and-analytics)(3 DWPD)- Micron 9550 Pro 7.68TB (1 DWPD)\n\n### DLIO Checkpointing Benchmark\n\nTo evaluate SSD real-world performance in AI training environments, we utilized the Data and Learning Input/Output (DLIO) benchmark tool. Developed by Argonne National Laboratory, DLIO is specifically designed to test I/O patterns in deep learning workloads. It provides insights into how storage systems handle challenges such as checkpointing, data ingestion, and model training.\n\nThe table below shows each drive’s average checkpoint completion time across three passes; lower is better. One note on this data: the number of checkpoints in a run scales with each drive’s capacity, so larger drives log more checkpoints, and per-checkpoint results are not aligned point for point across drives of different sizes. That is why we publish pass averages, which normalize each drive’s run into a directly comparable figure. When training machine learning models, checkpoints are essential for periodically saving the model’s state, preventing loss of progress during interruptions or power failures. This storage demand requires robust performance, especially under sustained or intensive workloads. We used the DLIO benchmark version 2.0 from the August 13, 2024, release.\n\nTo ensure our benchmarking reflected real-world scenarios, we based our testing on the LLAMA 3.1 405B model architecture. We implemented checkpointing using torch.save() to capture model parameters, optimizer states, and layer states. Our setup simulated an eight-GPU system, implementing a hybrid parallelism strategy with 4-way tensor parallelism and 2-way pipeline parallel processing distributed across the eight GPUs. This configuration yielded a checkpoint size of 1,636GB, reflecting the requirements of training modern large language models.\n\nDrive |\nPass 1 Average (seconds) |\nPass 2 Average (seconds) |\nPass 3 Average (seconds) |\n|---|---|---|---|\n| SanDisk DC SN861 7.68TB | 461.3 | 558.6 | 553.3 |\n| Micron 9550 MAX 12.8TB | 462.8 | 558.9 | 555.3 |\n| Micron 9550 Pro 7.68TB | 461.4 | 577.9 | 559.7 |\n| Solidigm PS1010 7.68TB | 458.8 | 561.1 | 564.6 |\n| Micron 7600 MAX 6.4TB | 464.2 | 581.5 | 567.3 |\n| KIOXIA CD9P-R 7.68TB | 464.7 | 575.6 | 570.6 |\n| KIOXIA CM9-R 15.36TB | 462.8 | 571.9 | 580.9 |\nSolidigm PS1030 12.8TB |\n462.3 |\n578.0 |\n599.2 |\n\nLooking at the pass averages, the Solidigm PS1030 opened right in the pack at 462.3 seconds in Pass 1, where the entire comparison group landed within a seven-second band of roughly 459 to 465 seconds. The separation came later. In Pass 2 the PS1030 stepped up to 578.0 seconds, in the upper portion of a field that ranged from the SanDisk SN861’s 558.6 to the Micron 7600 MAX’s 581.5 seconds, and by Pass 3 it had drifted to 599.2 seconds, the highest average in the comparison group, with the rest of the field settling between the SN861’s 553.3 and the KIOXIA CM9-R’s 580.9 seconds.\n\nThe PS1030’s own checkpoint log shows the shape of that drift. The PS1030 opened at 465.3 seconds and held near 461 seconds through checkpoint 5 before stepping up. Once it transitioned, it ranged from roughly 553 to 593 seconds, closed checkpoint 12 at 614.7 seconds, and its latest checkpoints reached as high as 629.0 seconds. The result is consistent with the drive’s one established weakness rather than a new one: DLIO checkpointing is exactly the kind of large sequential write burst that the 128K single-worker FIO test flagged. The gap is real but bounded, about 5% against the KIOXIA CD9P-R on Pass 3 averages, and the PS1030 scaled predictably across passes rather than swinging.\n\n### FIO Performance Benchmark\n\nTo measure the storage performance of each SSD across common industry metrics, we leverage FIO. Each drive undergoes the same testing process, which includes a preconditioning step of two full drive fills with a sequential write workload, followed by steady-state performance measurement. As each workload type being measured changes, we run another preconditioning fill of that new transfer size.\n\nIn this section, we focus on the following FIO benchmarks:\n\n- 128K Sequential\n- 64K Random\n- 16K Sequential\n- 4K Random\n\n#### 128K Sequential Write (IODepth 16 / NumJobs 1)\n\nThe steady-state 128K sequential write test is the one area where the PS1030 shows some weakness compared to the other SSDs. The drive posted 6,370.3 MB/s at 313.7 µs, the lowest bandwidth and highest latency in the group, trailing even the read-intensive KIOXIA CD9P-R at 6,912.4 MB/s. The Micron 9550 MAX led at 10,957.9 MB/s, with the 9550 Pro at 10,354.6 MB/s, and the KIOXIA CM9-R took a clear third at 8,668.1 MB/s. The PS1030’s sibling, the PS1010 (7,126.5 MB/s), and the SanDisk DC SN861 (7,116.5 MB/s) occupied the middle, with the Micron 7600 MAX at 6,960.6 MB/s.\n\nWorth keeping in frame: this is a single-job workload, and the PS1030’s write architecture is built to spread work, not to win one stream. The random write sections below show the same drive moving far more data once parallelism is introduced, which matches the access pattern that its target workloads generate.\n\n#### 128K Sequential Read (IODepth 64 / NumJobs 1)\n\nThe read side flipped the script. The PS1030 delivered 14,156.4 MB/s at 564.8 µs, effectively tied with its PS1010 sibling (14,163.3 MB/s) and within 0.6% of the group-leading CD9P-R (14,235.9 MB/s). The Micron 9550 Pro (14,050.1 MB/s) and 9550 MAX (14,047.5 MB/s) completed the pack of five drives, saturating the Gen5 interface within a 200 MB/s band. The SN861 followed at 12,631.2 MB/s, the 7600 MAX at 11,240.5 MB/s, and the CM9-R, so strong in the write test, came in last here at 9,974.6 MB/s in this single-job configuration. For a drive sold on its write budget, giving up nothing on big-block reads is the quiet win in this chart.\n\n#### 64K Random Write\n\nThe 64K random write sweep is where the PS1030’s character shows. The drive peaked at 7,224.0 MB/s, fourth in the group behind the Micron 9550 MAX (10,878.1 MB/s), KIOXIA CM9-R (9,635.3 MB/s), and Micron 9550 Pro (9,069.4 MB/s), and ahead of the Micron 7600 MAX (6,960.5 MB/s) and the rest of the field. What sets the PS1030 apart is where that peak occurred: at IODepth 2 / NumJobs 2, with just 34.3 µs of latency, while most of the field needed deep queues to reach their best numbers. The drive saturates almost immediately and then stays flat for the rest of the sweep, which is exactly the profile you want for a steady-state write tier running at moderate concurrency around the clock. The gap to its sibling is also the endurance tier earning its keep on performance terms: the PS1010 peaked at 5,873.9 MB/s, 23% below the PS1030.\n\nOn latency, the PS1030 opened at 21.1 µs at IODepth 1 / NumJobs 1, second only to the CM9-R’s 18.4 µs, and its worst point in the entire sweep was 2,831 µs, less than half the PS1010’s 5,987 µs spike. The 9550 MAX remained the most controlled at high concurrency, topping out at 1,714 µs.\n\n#### 64K Random Read\n\nThe PS1030 took the group’s best 64K random read peak at 14,162.9 MB/s (IODepth 32 / NumJobs 8), a hair ahead of the Micron 9550 Pro (14,049.9 MB/s), 9550 MAX (14,049.7 MB/s), and PS1010 (14,013.6 MB/s), with the CM9-R at 13,402.4 MB/s and the CD9P-R at 12,036.0 MB/s further back. The low-queue-depth story belongs to the KIOXIA drives, as it did in our CD9P-R review: the CM9-R opened at 1,359.0 MB/s and the CD9P-R at 1,334.0 MB/s at IODepth 1 / NumJobs 1, roughly 45 µs latency territory, while the PS1030 started at 768.4 MB/s and 81.0 µs, mid-pack. The PS1030 ranks at the top of this chart for scaling, not for single-stream response.\n\n#### 16K Sequential Write\n\nA note on the test itself: beginning with this comparison group, our 16K coverage is sequential rather than random, a workload we first broke out in our [Micron 9550 MAX review](https://www.storagereview.com/review/micron-9550-max-review-balanced-performance-for-ai-db-and-analytics). Mid-size sequential streams better represent what these drives do in production, especially in AI pipelines, which stream ordered training data in, stage intermediate results out, and feed inference tiers in runs rather than scattering random hits across the drive.\n\nThe results reshuffle the field compared to the random sweeps. The Micron 9550 MAX led at 10,970.8 MB/s (IODepth 32 / NumJobs 4), with the KIOXIA CM9-R nearly matching it at 10,812.2 MB/s and the 9550 Pro third at 9,772.8 MB/s. The PS1030 peaked at 5,977.7 MB/s (IODepth 8 / NumJobs 4), seventh in the group, ahead of the SanDisk DC SN861 at 5,772.5 MB/s and just under its PS1010 sibling at 6,271.7 MB/s. The shape of the sweep, though, is the same signature the random tests showed: the PS1030 was already at 5,856.7 MB/s by IODepth 2 / NumJobs 4 with 21.1 µs of latency, then held a flat band between roughly 4,700 and 6,000 MB/s across the rest of the matrix. Its single-worker latency of 10.9 µs sat in the leading cluster with the CM9-R (10.4 µs) and CD9P-R (11.0 µs), well under the Microns at 15.1 to 17.8 µs. The ceiling is modest for a drive with a write-focused brief, but it arrives at minimal queue depth and microsecond-class latency, the operating point where a sustained cache or staging tier lives, and the same profile that carried this drive through weeks of continuous sequential write streams in our KV cache deployment.\n\n#### 16K Sequential Read\n\nOn the read side, the KIOXIA CD9P-R led at 13,819.7 MB/s, with the CM9-R at 13,393.2 MB/s and the Micron 9550 Pro at 13,273.5 MB/s close behind. The PS1030 peaked at 11,142.8 MB/s (IODepth 16 / NumJobs 8) at 179.1 µs, seventh in the group, ahead of only the SN861 at 10,995.0 MB/s and just behind its sibling at 11,656.3 MB/s, about a fifth off the group lead. The single-stream picture also inverts the random-read story: on ordered 16K reads, the SN861 opened at 12.5 µs and the Microns between 13.9 and 21.3 µs, while the Solidigm platform started near 59 µs, the same low-concurrency read trait both PS-series drives showed at 64K. Mid-size reads remain the corner of the matrix where this platform gives the most away; the streaming-read side of an AI pipeline is better served by the read-intensive class, which is not the argument this drive was built to win.\n\n#### 4K Random Write\n\nThe headline chart for a 3 DWPD drive, and the PS1030 delivered. Its peak of 1,595.8K IOPS at IODepth 16 / NumJobs 8 was second in the group, behind only the fellow 3 DWPD Micron 7600 MAX at 1,781.2K, and ahead of the 9550 MAX (1,544.2K), PS1010 (1,504.7K), CM9-R (1,502.9K), 9550 Pro (1,467.6K), SN861 (1,438.3K), and CD9P-R (1,273.1K). That measured peak is also double the drive’s 800K rated figure, which Solidigm specs at a fixed queue depth; steady-state sweeps find more.\n\nLatency behavior seals the argument. The PS1030 opened at 8.8 µs at IODepth 1, in the leading cluster with the CM9-R (8.2 µs) and PS1010 (8.3 µs), reached its peak throughput at just 79.8 µs, and never exceeded 359.6 µs anywhere in the sweep. The PS1010, by contrast, needed IODepth 32 / NumJobs 16 to reach a peak of 339.7 µs, on the way to a 735.6 µs worst case. For the OLTP logs and KV-cache-style traffic this drive is aimed at, small writes in the single-digit microseconds, with a sub-400 µs ceiling, are the profile that matters.\n\n#### 4K Random Read\n\nThe PS1030 backed up its write showing with the group’s second-best 4K random read peak: 2,255.8K IOPS at IODepth 16 / NumJobs 16 and 112.8 µs, behind the SanDisk SN861’s 2,555.6K IOPS and ahead of the Micron 9550 MAX (2,217.6K IOPS) and CD9P-R (2,165.0K IOPS). At IODepth 1 / NumJobs 1, the KIOXIA low-latency signature led again: the CM9-R at 29.3 µs and CD9P-R at 30.4 µs, but the PS1030’s 56.8 µs was the best of the rest, edging its sibling and both 9550s (roughly 65 µs) and the SN861 (67.8 µs). A mixed-use drive that lands second in both 4K read and 4K write peaks in a field this read-heavy is covering both halves of its job description.\n\n### GPU Direct Storage\n\nOne of the tests we conducted on this testbench was the Magnum IO GPU Direct Storage (GDS) test. GDS is a feature developed by NVIDIA that allows GPUs to bypass the CPU when accessing data stored on NVMe drives or other high-speed storage devices. Instead of routing data through the CPU and system memory, GDS enables direct communication between the GPU and the storage device, significantly reducing latency and improving data throughput.\n\n#### How GPU Direct Storage Works\n\nTraditionally, when a GPU processes data stored on an NVMe drive, the data must first travel through the CPU and system memory before reaching the GPU. This process introduces bottlenecks, as the CPU acts as an intermediary, adding latency and consuming valuable system resources. GPU Direct Storage eliminates this inefficiency by enabling the GPU to access data directly from the storage device via the PCIe bus. This direct path reduces data-movement overhead, enabling faster, more efficient data transfers.\n\nAI workloads, especially those involving deep learning, are highly data-intensive. Training large neural networks requires processing terabytes of data, and any delay in data transfer can lead to underutilized GPUs and longer training times. GPU Direct Storage addresses this challenge by ensuring that data is delivered to the GPU as quickly as possible, minimizing idle time and maximizing computational efficiency.\n\nIn addition, GDS is particularly beneficial for workloads that involve streaming large datasets, such as video processing, natural language processing, or real-time inference. By reducing the reliance on the CPU, GDS accelerates data movement and frees up CPU resources for other tasks, further enhancing overall system performance.\n\n#### GDSIO Sequential Read Throughput\n\nIn the 16K block-size segment, the PS1030 opened at approximately 0.2 GiB/s on a single thread, the lowest entry point in the group, consistent with its 71.6 µs single-thread GDS read latency (its sibling posted 71.1 µs, the same platform trait we flagged in the CD9P-R review). It scaled steadily into the pack through the mid-range, finishing the segment around 1.6 GiB/s at 16K/128 while the KIOXIA pair held the segment lead near 2.0 GiB/s. The KIOXIA drives’ thread-scaling advantage carried through the 128K segment as well, with the CD9P-R and CM9-R pulling away through 128K/16 while the PS1030 tracked the main group, reaching approximately 4.7 GiB/s at 128K/64 and 5.0 GiB/s at 128K/128.\n\nIn the 1M segment, the field converged. The PS1030 climbed to its peak of 5.95 GiB/s (1M/32), within 3.5% of the group-best 6.16 GiB/s from the CD9P-R, with the CM9-R at 6.06, the PS1010 and 9550 MAX at 6.05, and the 9550 Pro at 5.97 GiB/s. The 7600 MAX came in last at 5.59 GiB/s. At peak 16K IOPS, the KIOXIA pair led (136.4K for the CM9-R, 134.2K for the CD9P-R), while the PS1030’s 101.2K was the group’s lowest; small-block GPU-direct reads are simply not this platform’s strength.\n\n#### GDSIO Sequential Write Throughput\n\nThe write sweep is the chart PS1030 buyers should study, because it contains both the drive’s best manners and its one real anomaly. In the 16K segment, all eight drives tracked together in the 0.5 to 1.5 GiB/s band, and the PS1030’s single-thread write latency of 22.3 µs sat in the leading cluster with the two KIOXIA drives (21.4 µs each) and its sibling (21.9 µs). In the 128K segment, the PS1030 scaled cleanly to approximately 3.95 GiB/s at 128K/32, then fell off a cliff: roughly 2.35 GiB/s at 128K/64 and 1.55 GiB/s at 128K/128, less than a third of the segment leaders’ performance. This is the same high-thread-count write collapse we documented on the PS1010 in the CD9P-R review, reproduced almost point-for-point on the PS1030 (the PS1010 fell to 2.5, then 1.65 GiB/s at the same marks). Whatever sits behind it lives in the platform, not the endurance tier, and it remains the most significant blemish in the dataset.\n\nThe 1M segment softened but did not erase the pattern. The PS1030 peaked at 4.22 GiB/s (1M/8), ahead of only its sibling’s 4.17 GiB/s, and drifted down to roughly 3.35 GiB/s at 1M/128 while the CM9-R held the most stable line in the group toward its 5.51 GiB/s peak, and the 9550 MAX hit the highest peak at 5.69 GiB/s with its own documented volatility, dipping near 2.2 GiB/s at 1M/64. The 9550 Pro (5.54), 7600 MAX (5.44), CD9P-R (4.86), and SN861 (4.59 GiB/s) filled out the order. The saving grace for the PS1030’s target buyer: KV cache and log-style tiers write at moderate thread counts per drive, where the PS1030 behaves impeccably, not at the 64-plus GPU-direct write threads where the collapse lives. Our own KV cache deployment ran eight of these drives for weeks without the array ever approaching the bottleneck. But anyone planning heavy multi-threaded GDS write streaming onto this platform should benchmark their exact pattern first.\n\n## Conclusion\n\nThe Solidigm D7-PS1030 does what a mid-endurance Gen5 drive is supposed to do, and the data shows a drive with a distinct skill set. Its signature is parallel small-block work: second in the group in both 4K random write (1,595.8K IOPS, behind only the fellow 3 DWPD Micron 7600 MAX) and 4K random read (2,255.8K IOPS), the group’s best 64K random read at 14,162.9 MB/s, and full Gen5 line rate on 128K sequential reads at 14,156.4 MB/s. Just as interesting is how it gets there: peaks at IODepth 2 or NumJobs 8 with latency in the tens of microseconds, where competitors need deep queues and pay for them in latency. The drive saturates early, holds flat, and keeps its worst-case write latency at half that of its PS1010 sibling.\n\nThere are trade-offs, however. Single-worker 128K sequential writes landed last in the group at 6,370.3 MB/s, and DLIO checkpointing, which stresses exactly that pattern, ran to the group’s highest Pass 3 average at 599.2 seconds. The 16K sequential tests also trailed the field on both sides, with the write peak of 5,977.7 MB/s and read peak of 11,142.8 MB/s each landing seventh of eight. The GDSIO write sweep reproduced the PS1010’s high-thread 128K drop nearly point-for-point, confirming it as a platform behavior rather than a one-off, and small-block GPU-direct reads favor the KIOXIA drives by a wide margin. None of this undermines the drive’s brief, but it does highlight it: the PS1030 is not the drive for single-stream ingest.\n\nWhat it is built for, it has already proven in longer form than any bench run. Eight of these drives spent weeks as the KV cache offload tier in [our XE7740 inference work](https://www.storagereview.com/review/the-token-efficient-path-for-long-context-inference-kv-cache-offload-to-flash), absorbing 1.9 GB/s of sustained, around-the-clock writes at a duty cycle that brushed past their 3 DWPD rating, and the tier never became the bottleneck. The bench data explains why that worked: early-saturating write behavior, single-digit-microsecond 4K write latency at low queue depths, and a controlled latency ceiling are exactly the traits a continuously written cache or log tier rewards. Endurance-bound, latency-sensitive, moderately concurrent write workloads, KV cache offload, OLTP logging, and metadata tiers are where the PS1030 belongs, and where its 3 DWPD budget and 4.98 DWPD three-year option let it run duty cycles that would disqualify the read-intensive class.", "url": "https://wpnews.pro/news/solidigm-d7-ps1030-review-3-dwpd-gen5-that-earned-its-keep-in-the-kv-cache-tier", "canonical_source": "https://www.storagereview.com/review/solidigm-d7-ps1030-review-3-dwpd-gen5-that-earned-its-keep-in-the-kv-cache-tier", "published_at": "2026-08-31 20:20:44+00:00", "updated_at": "2026-08-31 20:52:55.232050+00:00", "lang": "en", "topics": ["ai-infrastructure", "ai-products"], "entities": ["Solidigm", "D7-PS1030", "Dell PowerEdge XE7740", "KIOXIA CD9P-R"], "alternates": {"html": "https://wpnews.pro/news/solidigm-d7-ps1030-review-3-dwpd-gen5-that-earned-its-keep-in-the-kv-cache-tier", "markdown": "https://wpnews.pro/news/solidigm-d7-ps1030-review-3-dwpd-gen5-that-earned-its-keep-in-the-kv-cache-tier.md", "text": "https://wpnews.pro/news/solidigm-d7-ps1030-review-3-dwpd-gen5-that-earned-its-keep-in-the-kv-cache-tier.txt", "jsonld": "https://wpnews.pro/news/solidigm-d7-ps1030-review-3-dwpd-gen5-that-earned-its-keep-in-the-kv-cache-tier.jsonld"}}