In response to Michael Dell's LinkedIn post claiming: "12x faster vector indexing, 3x faster processing with Lightning FS (the fastest parallel file system in the world), feeding GPUs at 150 GB/s per rack."
Let's look at the actual hardware behind both platforms and compare published numbers.
Dell's AI Data Platform is a 4-layer software stack running on the PowerEdge R7725xd:
| Spec | Dell PowerEdge R7725xd |
|---|---|
| Form factor | 2U |
| CPU | Dual AMD EPYC 9005 (5th Gen) |
| PCIe lanes | 160 PCIe Gen5 (96 for drives + 64 for I/O) |
| Drive bays | 24x U.2 NVMe (Gen5, dedicated x4 per bay) |
| Max drive capacity | 122.88 TB per drive (Solidigm QLC) |
| Max raw capacity per node | ~3 PB |
| Networking | Multiple 100/400 GbE, CX-8/CX-9 SuperNIC support |
| Software | PowerScale (file) + ObjectScale (S3) + Lightning FS (parallel file) — 3-in-1 |
| Availability | Early H2 2026 |
Lightning FS is a new parallel file system announced at GTC March 2026, shipping April 2026, running on this same R7725xd hardware.
- Per 1RU enclosure: 150 GB/s read (3 NICs per enclosure, NIC-bottlenecked)
- Per rack: ~6 TB/s read (~40 enclosures)
- Per client: 500-900 GB/s in test runs
- Claims ~97% line rate, up to 20x vs "traditional flash scale-out file competitors"
MinIO AIStor is a single binary that runs on the same class of commodity hardware — including Dell's own servers. Here are published benchmarks on comparable hardware:
The MinIO vector indexing benchmark (source) ran on Dell hardware:
| Component | Spec |
|---|---|
| Storage cluster | 8x Dell PowerEdge R7615, AMD EPYC 9754 (128-core), 512 GB RAM, 24x NVMe PCIe Gen 5, ConnectX-7 |
| GPU server | 1x Dell PowerEdge XE9680, 2x Intel Xeon Platinum 8592, 8x NVIDIA Hopper GPUs, 2048 GB RAM |
| Network | NVIDIA Spectrum SN4700 400 GbE switch (12.8 Tb/s) |
Dataset: 106 million vectors, 2048 dimensions (MIRACL corpus, nv-embedqa-e5-v5 embeddings).
| Configuration | Index Build Time | Speedup |
|---|---|---|
| CPU + TCP (baseline) | ~2 hours | 1x |
| GPU + TCP | ~4 minutes | ~30x |
| GPU + RDMA (full pipeline) | — | 12x end-to-end |
| RDMA improvement over TCP (GPU config) | — | 18.6% faster across all phases |
Dell claims 12x vector indexing. MinIO already published 12x end-to-end — and 30x raw indexing — on Dell's own PowerEdge servers.
GPUDirect RDMA benchmark (source):
| Metric | MinIO AIStor |
|---|---|
| Single-node GET (RDMA) | ~45 GB/s |
| Single-node PUT (RDMA) | ~30 GB/s |
| GET speedup vs HTTP | Up to 4.6x |
| PUT speedup vs HTTP | Up to 2.8x |
| Latency reduction | Up to 5.1x lower |
| GPU server CPU utilization | ~1% |
| Internode RDMA latency | 3.75x lower vs TCP |
| Internode CPU savings | 90% during erasure coding |
Intel-published technical paper (source):
Hardware: 2U, 1x Intel Xeon 6781P (80 cores), 256 GB DDR5, 24x Dell DC NVMe 7450 RI U.2 (184.32 TB), 400 Gbps ConnectX-7.
| Metric | Result |
|---|---|
| 24-drive parallel read | 142 GiB/s (~152 GB/s) |
| 24-drive parallel write | 120 GiB/s (~129 GB/s) |
| MinIO GET (EC:3, warp) | 46.9 GiB/s (~50 GB/s) peak |
| MinIO PUT (EC:3, warp) | 28 GiB/s + parity = ~40 GiB/s total |
| Reed-Solomon encoding | 130-145 GB/s |
| AES-GCM encryption | 115 GB/s peak |
| Near-saturation of 400 Gbps NIC on reads | Yes |
Published cluster benchmark (source):
| Metric | Result |
|---|---|
| 32-node GET | 325 GiB/s (~349 GB/s) |
| 32-node PUT | 165 GiB/s (~177 GB/s) |
| 260-node GET | >2.2 TiB/s |
| Production (multi-hundred PiB) | >3 TiB/s |
Let's normalize to the same hardware class — a rack of 2U NVMe servers with 24 drives each, 400GbE networking:
| Dell AI Data Platform (Lightning FS) | MinIO AIStor | |
|---|---|---|
| Per-node read throughput | 150 GB/s (1RU, 3 NICs) | ~45 GB/s (single 400GbE, RDMA) to ~50 GB/s (saturating 400Gbps) |
| Per-rack read throughput | ~6 TB/s (40x 1RU enclosures) | ~900 GB/s (20x 2U nodes, 400GbE RDMA) |
| Data access protocol | POSIX (proprietary client driver) | S3 over RDMA / GPUDirect RDMA |
| Vector indexing acceleration | 12x (claimed) | 12x end-to-end, 30x raw GPU indexing (published on Dell hardware) |
| GPU CPU overhead | Not disclosed | ~1% |
| Encryption throughput | Not disclosed | 115 GB/s (AES-GCM, single node) |
| Erasure coding throughput | Not disclosed | 130-145 GB/s (Reed-Solomon, single node) |
| Software complexity | 3-in-1 stack (PowerScale + ObjectScale + Lightning FS) | Single binary, <200 MB |
| Hardware lock-in | Dell PowerEdge R7725xd required | Runs on Dell R7615, Supermicro, HPE, any commodity |
| Availability | Lightning FS: April 2026. Exascale storage: H2 2026 | Generally available today |
| Next gen | CX-8/CX-9, 800GbE (planned) | NVIDIA BlueField-4 DPU — 800GbE, zero host CPU, ARM SVE erasure coding at 2x throughput (H2 2026) |
Dell trades capacity for NIC density. MinIO maximizes capacity per rack unit.
Dell Lightning FS (40 x 1RU enclosures, 1 rack):
- ~10-12 drives per 1RU enclosure x 122.88 TB
- 40 enclosures = ~48 PB raw (optimistic)
- 120 NICs consumed (3 per enclosure)
MinIO AIStor (20 x 2U nodes, 1 rack):
- 24 drives per node x 122.88 TB = ~2.95 PB per node
- 20 nodes = ~59 PB raw
- 20 NICs consumed (1 per node)
MinIO delivers 23% more raw capacity per rack with 6x fewer NICs.
If you match Dell's NIC count with MinIO nodes (1 NIC each = 120 nodes):
| Dell Lightning FS | MinIO AIStor | |
|---|---|---|
| NICs | 120 | 120 |
| Nodes | 40 x 1RU | 120 x 2U |
| Raw capacity | ~48 PB | ~354 PB (7.4x more) |
| Read throughput | ~6 TB/s | ~5.4 TB/s |
| Rack space | 1 rack (40U) | 6 racks (240U) |
Comparable throughput. 7.4x more capacity for the same NIC investment.
Power Consumption: The Hidden Cost
Dell's bandwidth-dense 1RU design comes with a significant power penalty that can't be ignored.
Dell Lightning FS (40 x 1RU, 120 NICs, 1 rack):
- PowerScale F710 reference: 769-887W per 1U node
- 3 x 400GbE NICs per enclosure = ~75-90W just in NICs
- 40 enclosures x ~800W (conservative) = ~32 kW per rack
- Exceeds standard air-cooled rack budgets (typically 20-30 kW) — likely requires liquid cooling or high-density power delivery
- Delivers: ~48 PB raw, ~6 TB/s read
MinIO AIStor (20 x 2U, 20 NICs, 1 rack):
- Typical 2U single-socket NVMe server: ~800-1000W
- 1 x 400GbE NIC per node = ~25-30W
- 20 nodes x ~900W = ~18 kW per rack
- Comfortably within standard air-cooled rack budgets
- Delivers: ~59 PB raw, ~900 GB/s read
| Dell Lightning FS | MinIO AIStor | |
|---|---|---|
| Total power | ~32 kW (1 rack) | ~108 kW (6 racks x 18 kW) |
| Raw capacity | ~48 PB | ~354 PB |
| Read throughput | ~6 TB/s | ~5.4 TB/s |
| Power per PB stored | ~667W/PB | ~305W/PB (2.2x more efficient) |
| Capacity per watt | 1.5 PB/kW | 3.3 PB/kW (2.2x more efficient) |
| Power per TB/s throughput | ~5.3 kW/TB/s | ~20 kW/TB/s |
| Cooling requirements | Liquid / high-density | Standard air-cooled |
Dell optimizes for throughput per rack unit — bandwidth density at any power cost. You pay for it:
- 32 kW in a single rack likely requires liquid cooling or high-density power delivery infrastructure
- 120 NICs per rack = 120 points of failure, 120 firmware updates, 120 potential NIC licenses
- All for ~48 PB behind a proprietary POSIX client
MinIO optimizes for capacity per watt:
- 2.2x more storage per watt consumed
- Standard air cooling, commodity hardware, no special rack infrastructure
- Comparable throughput at the same NIC count, with 7.4x more usable capacity
And this is before accounting for the software stack overhead — Dell's 3-in-1 platform (PowerScale + ObjectScale + Lightning FS orchestration layer) burns CPU cycles managing itself. MinIO is a single binary with ~1% CPU overhead during GPUDirect RDMA data transfers. Every watt not spent on storage software overhead is a watt available for actual GPU compute.
Dell's 150 GB/s number is per 1RU enclosure, not per rack. The per-rack number is ~6 TB/s. But this requires ~40 x 1RU enclosures per rack, each with 3 NICs — that's 120 NICs and ~32 kW per rack just for storage. The NIC is explicitly the bottleneck, not the drives.
MinIO AIStor on 20x 2U nodes (same rack) with single 400GbE NIC each delivers ~45 GB/s per node via RDMA. That's ~900 GB/s per rack with 20 NICs and ~18 kW — 6x fewer NICs and 44% less power. Match the NIC count (120 nodes) and throughput converges to ~5.4 TB/s vs Dell's ~6 TB/s, but with 7.4x more capacity and 2.2x better power efficiency per PB.
MinIO published this exact benchmark on Dell PowerEdge hardware. The 12x number is the end-to-end pipeline improvement (GPU+RDMA vs CPU+TCP). The raw GPU indexing speedup is 30x. Dell is citing the same class of NVIDIA cuVS acceleration — the storage layer isn't the differentiator here, the GPU is.
This is Dell's Data Analytics Engine using NVIDIA cuDF on RTX PRO Blackwell GPUs for SQL acceleration. It's a compute claim, not a storage claim. Any storage backend that can feed the GPUs fast enough benefits equally.
Lightning FS is impressive hardware engineering. But it's a POSIX parallel file system that requires:
- A proprietary client driver on every GPU node
- Dell-specific hardware (R7725xd)
- 3 NICs per 1RU enclosure (120 per rack)
- ~32 kW per rack (exceeding standard air-cooled limits)
- Shipping April 2026 (not GA today)
MinIO AIStor delivers S3 over RDMA and GPUDirect RDMA today, on any commodity hardware, with no client driver, no POSIX overhead, 1 NIC per node, standard air cooling, and a flat namespace that scales to exabytes.
Your AI isn't bottlenecked by your data. It's bottlenecked by:
- Vendor lock-in — Lightning FS runs only on Dell R7725xd. MinIO AIStor runs on Dell, Supermicro, HPE, or any commodity NVMe server.
- Protocol overhead — POSIX parallel file systems carry metadata overhead that doesn't scale. S3 over RDMA with GPUDirect eliminates the translation layer entirely.
- Power and cooling — 32 kW per rack with 120 NICs vs 18 kW per rack with 20 NICs. At datacenter scale, power is the real constraint.
- Complexity — A 3-in-1 storage stack (PowerScale + ObjectScale + Lightning FS) means 3 software stacks to manage, patch, and troubleshoot. MinIO is a single binary under 200 MB.
- Availability — Dell's Exascale Storage ships H2 2026. MinIO AIStor with GPUDirect RDMA is in production today.
All MinIO numbers are from published, reproducible benchmarks:
| Benchmark | Date | Source |
|---|---|---|
| Vector Indexing (Dell R7615 + XE9680) | March 2026 | MinIO Blog |
| GPUDirect RDMA | February 2026 | MinIO Blog |
| Intel Xeon 6781P | May 2025 | Intel Technical Paper |
| Multi-Node Scaling | 2025 | MinIO Blog |
| AIStor vs OSS (RDMA internode) | February 2026 | MinIO Blog |
Dell AI Data Platform sources:
| Source | Link |
|---|---|
| Press Release | PR Newswire |
| Lightning FS Details | Blocks and Files |
| PowerEdge R7725xd | StorageReview |
| GTC 2026 Expansion | StorageReview |