Arista DCS-7060X6-64PE-F — 64×800G Leaf/Spine Switch with Forward Airflow
The
Arista DCS-7060X6-64PE-F is a 2RU, 64-port 800G data center switch delivering
51.2 Tbps of non-blocking switching capacity with
700 ns cut-through latency, a
165 MB shared packet buffer, and a removable supervisor card architecture. Purpose-built for high-density AI/ML cluster interconnects, storage networks, and next-generation leaf-spine fabrics, the 7060X6-64PE represents the latest evolution in 800G switching with the highest port density available in a compact 2RU form factor. With
64 native 800G OSFP ports plus two 10G SFP+ data plane ports, it delivers four times the per-port bandwidth of 400G platforms and substantially deeper packet buffering for modern workload patterns. The “
-F” suffix denotes
front-to-rear (forward) airflow, the standard configuration for traditional hot-aisle/cold-aisle data center designs where cool air is supplied from the front of the rack. The DCS-7060X6-64PE is available exclusively in front-to-rear (“-F”) airflow.
Key Features at a Glance
- 64 × 800GbE OSFP ports supporting native 800G operation at line rate across all 64 ports simultaneously
- 51.2 Tbps non-blocking switching capacity — full wire speed across all 64 OSFP ports in full-duplex mode
- 700 ns cut-through latency for consistent, low-jitter performance at 800G port speed
- 165 MB shared packet buffer — among the deepest in the industry for AI/ML all-reduce, storage bursts, and east-west incast absorption
- Removable supervisor card (DCS-7001-SUP-A) for modular upgrades and field serviceability without platform replacement
- Advanced ASIC and packet processing architecture purpose-engineered for 800G performance and AI/ML workloads
- Linear Pluggable Optics (LPO) support for future-ready optics compatibility
- Front-to-rear airflow (“-F”) for standard hot-aisle/cold-aisle data center deployments
- Redundant, hot-swappable power supplies and fan modules for continuous operation
- Full L2/L3 feature set: VXLAN, EVPN, MLAG, 128-way ECMP, BGP, and advanced routing
- Advanced AI/ML features: RoCEv2, Packet Spraying, DLB (Dynamic Load Balancing), CLB (Cluster Load Balancing), Advanced DCQCN, PFC/ECN, AI Analyzer, and SSU (Smart System Upgrade)
- True Egress Mirror support and 800GBASE-ETC standard connectivity
- Rich telemetry: LANZ, sFlow, AEM, and streaming telemetry at 100 µs to 1 ms granularity
- Runs Arista EOS® with open APIs, Python/Bash scripting, and CloudVision® integration
The X6 Generation: 64 Native 800G Ports and 165 MB Deep Buffer for AI/ML Back-End Networks
The
7060X6-64PE represents the latest evolution of the 7060 platform line, introducing the highest native 800G port density available in a 2RU form factor. Compared to the previous 7060X5 generation, the X6 delivers three generational advances:
- Highest port density at 800G: 64 native 800G OSFP ports in 2RU (51.2 Tbps) — yielding the maximum throughput per rack unit of any 800G switch platform. This density is essential for organizations consolidating AI compute clusters and high-performance storage arrays into smaller footprints.
- 165 MB shared packet buffer: A 44% increase over the 7060X5 (114 MB), the 165 MB buffer absorbs synchronized GPU collective operations (AllReduce, AllGather), NVMe-oF storage bursts, and east-west incast traffic without triggering PFC back-pressure cascades that can stall training iterations. At 800G port speeds, where data volumes are 2× higher than 400G per clock cycle, deeper buffering is essential.
- 700 ns cut-through latency at 800G: The X6 achieves sub-microsecond latency at native 800G speeds — a fundamentally harder target than 100G or 400G, given the data volume per clock cycle. This low-jitter performance is critical for synchronized distributed training jobs where microsecond-level latency variations can cascade into macro-level training slowdowns.
- Modular supervisor card: The X6-64PE features a removable and replaceable supervisor card (DCS-7001-SUP-A), allowing field upgrades without chassis replacement — extending the lifecycle of the switch and reducing capital expenditure on platform refreshes.
- Advanced AI/ML feature set: Packet Spraying for load-aware traffic steering, Advanced DCQCN for lossless Ethernet under congestion, and dedicated AI Analyzer (100 µs ECMP utilization tracking) enable operators to optimize GPU cluster performance at the network layer.
51.2 Tbps Non-Blocking Architecture for AI Cluster Density
The
DCS-7060X6-64PE-F delivers
51.2 Tbps of full-duplex, non-blocking switching capacity across all 64 OSFP ports. Every port operates simultaneously at 800G line rate without oversubscription — a non-negotiable requirement for back-end AI cluster switches and high-performance storage interconnects where sustained, full-rate north-south and east-west bandwidth is the architectural baseline. This throughput ceiling holds regardless of traffic mix, packet size distribution, or active flow count, providing the consistent, predictable performance that AI/ML training clusters and NVMe-oF storage pools demand.
700 ns Cut-Through Latency at 800G
Operating in cut-through switching mode, the
7060X6-64PE-F delivers
700 nanoseconds of port-to-port latency with consistent, low-jitter performance across all 64 ports at native 800G speed. This sub-microsecond performance at 800G is a significant technical achievement — 800G ports carry 8× the data volume per clock cycle compared to 100G, making cut-through latency harder to achieve and maintain. For AI training clusters where synchronized all-reduce operations require microsecond-level precision, for HPC message-passing workloads with tight synchronization barriers, and for NVMe-oF storage networks where tail latency directly impacts I/O consistency, 700 ns represents excellent sub-microsecond cut-through performance at native 800G.
Port Density and 800G Native Performance
The 7060X6-64PE provides
64 × OSFP ports operating natively at 800GbE, plus
2 × SFP+ data plane ports (1/10GbE) for management or auxiliary connections:
- 800GbE: Native full-rate operation on all 64 OSFP ports for maximum cluster fabric density
- Support for 800GBASE-ETC standard: Fully compliant with IEEE 802.3dj (800GbE) standards for proven interoperability with ecosystem optics and cables
- Linear Pluggable Optics (LPO): LPO-ready for future-proof optics compatibility as the 800G optics ecosystem evolves
Optics, Cables, and Interoperability
The
DCS-7060X6-64PE-F supports a broad ecosystem of standards-based 800G optics and cables:
- 800G OSFP: 800GBASE-SR8, DR8, XDR, FR8, and proprietary 800G OSFP DAC and AOC for short- to long-reach cluster and storage interconnects
- Industry-standard interoperability: Full IEEE 802.3dj (800GbE) compliance for multi-vendor ecosystem compatibility
- Future-ready optics: Linear Pluggable Optics (LPO) support for emerging 800G form factors and next-generation coherent optics
165 MB Deep Shared Buffer: Built for GPU All-Reduce, Storage Bursts, and Synchronized Incast
The
165 MB shared packet buffer of the X6-64PE is one of its most significant differentiators for modern AI/ML workloads. Unlike fixed-per-port buffer architectures, the shared pool dynamically allocates buffer capacity to the ports and queues that need it most — a critical property for synchronized, bursty, and incast-dominated traffic patterns. Three workload categories benefit directly:
- AI/ML training with GPU collectives: Distributed training jobs using all-reduce operations (AllReduce, AllGather, AllToAll) generate synchronized, simultaneous bursts from hundreds to thousands of GPUs toward multiple destinations. Without sufficient buffer, these bursts cause packet drops, trigger RoCE retransmissions, and stall training iterations. The 165 MB buffer absorbs these collective events in the cluster switch layer, keeping GPU utilization high and minimizing training iteration stalls.
- NVMe-oF and high-throughput storage: Storage reads and writes generate large, bursty transfers that arrive in waves. The X6-64PE’s 165 MB deep shared buffer prevents the head-of-line blocking and packet drops that force storage retransmissions and inflate I/O latency — particularly important when multiple compute nodes simultaneously read from or write to the same NVMe-oF storage pool at 800G speeds.
- East-west incast in AI cluster fabrics: When all-reduce operations converge traffic from many GPUs toward aggregation points, the X6-64PE ports absorb incast bursts many times the individual port rate. The 165 MB shared pool provides the buffer headroom to absorb these events without drops, even when multiple incast phases coincide at high port utilization or when training jobs have staggered synchronization barriers.
At 165 MB, the X6-64PE buffer is 44% deeper than the 7060X5-64PE (114 MB) and represents the deepest shared buffer in the 7060 platform family — essential for organizations consolidating multiple AI clusters into single switches.
Advanced Load Balancing and Traffic Engineering
The
DCS-7060X6-64PE-F supports advanced Arista EOS traffic engineering and load balancing capabilities optimized for AI/ML workloads:
- Dynamic Load Balancing (DLB): Real-time ECMP path selection based on port and queue utilization, steering GPU-to-GPU transfers away from congested paths and toward available bandwidth. DLB minimizes congestion events during synchronized all-reduce operations where many flows converge.
- Cluster Load Balancing (CLB): For AI clusters running frameworks like NVIDIA Collective Communications Library (NCCL) or OpenMPI, CLB coordinates switch-level load distribution with in-NIC scheduling to optimize collective operation completion time.
- Packet Spraying: Load-aware traffic steering that distributes long-lived GPU transfers across multiple ECMP paths dynamically, preventing head-of-line blocking on any single path and enabling full fabric utilization during all-reduce operations.
- Advanced DCQCN (Data Center Quantized Congestion Notification): Sophisticated congestion control for RoCEv2 that prevents PFC back-pressure cascades during all-reduce events, allowing training jobs to maintain momentum even under peak cluster utilization.
Fabric and Routing Capabilities
The
7060X6-64PE-F delivers the full Arista EOS L2/L3 feature set for modern cluster and high-performance networking:
- VXLAN and EVPN: Overlay routing and bridging for multi-tenant AI clusters and hybrid cloud-on-premises storage networks
- Up to 128-way ECMP: Maximum path diversity for synchronized GPU-to-GPU transfers and storage traffic, ensuring that collective operations can exploit all available paths without congestion
- MLAG (Multi-Chassis Link Aggregation): Up to 64-way MLAG for redundant dual-homed server or storage pod connectivity
- BGP and IS-IS: Full-featured underlay routing for IP fabric, routed spine, and eBGP-based cluster interconnects
Quality of Service and Congestion Control
The
DCS-7060X6-64PE-F provides comprehensive QoS and lossless Ethernet capabilities essential for AI/ML workloads:
- RoCEv2 support: Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and Data Center Bridging (DCB) for GPU-Direct RDMA at 800G
- 8 unicast + 2 multicast queues per port: Fine-grained traffic classification for separating training collective operations, checkpoint data, and non-critical background traffic
- Weighted Round-Robin (WRR) and Strict Priority scheduling: Ensures low-latency critical traffic while preventing starvation of background flows
Telemetry, Monitoring, and AI Operations Insight
The
DCS-7060X6-64PE-F includes Arista’s full telemetry stack for AI cluster observability at 800G scale:
- AI Analyzer: Hardware-based ECMP utilization tracking at 100 µs granularity to detect load imbalance across parallel paths during all-reduce operations, enabling proactive path rebalancing before congestion cascades
- LANZ (Latency Analyzer): Per-port, real-time queue depth visibility and microburst detection at 100 µs to 1 ms intervals — essential for diagnosing congestion and buffer exhaustion during synchronized GPU collective operations
- sFlow: Continuous traffic sampling for elephant flow detection, path utilization monitoring, and capacity planning across 800G links
- AEM (Advanced Event Management): Rule-based, programmable alerting for link events, queue thresholds, and routing protocol state changes at the cluster switch layer
- Streaming Telemetry: High-frequency counter and state export to gRPC collectors, Grafana, Prometheus, and third-party NMS tools — providing the per-100µs-to-1ms buffer and utilization visibility that AI cluster operators require
Supervision and System Management
The
7060X6-64PE-F features a modular architecture with a removable supervisor card:
- DCS-7001-SUP-A supervisor card: Removable and field-replaceable, allowing in-service supervisor upgrades without full platform replacement. This modular design extends the lifecycle of the switch and reduces capital expenditure during technology transitions.
- Redundant management and control planes: Dual management Ethernet ports, serial console, and USB connectivity for multi-method system access and recovery
EOS Automation and Extensibility
Running on
Arista EOS®, the
DCS-7060X6-64PE-F is built for automation-first cluster operations:
- Native on-box Python and Bash scripting via the Linux shell for event-driven automation and cluster monitoring
- JSON-RPC eAPI for programmatic configuration — integrates with Ansible, Terraform, Salt, and Nornir for orchestrated cluster deployment
- CloudVision® for centralized configuration management, zero-touch provisioning, and multi-cluster network-wide visualization
- OpenConfig and gNMI/gRPC for model-driven management and high-frequency streaming telemetry export
- Smart System Upgrade (SSU): Graceful, non-disruptive software updates without fabric disconnection or traffic loss
Front-to-Rear Airflow and Data Center Fit
The “
-F” airflow configuration provides
front-to-rear (forward) cooling, where cool air enters from the non-port side of the switch and exhausts from the port side. This is the standard configuration for:
- Traditional hot-aisle/cold-aisle containment deployments where cold air is supplied from the front of the rack
- AI data center racks where the majority of compute (GPU servers) and network gear use front-to-rear airflow
- High-density AI cluster deployments requiring consistent thermal management across multiple switches
- Data center facilities standardizing on forward airflow for all infrastructure equipment
The DCS-7060X6-64PE is available exclusively in front-to-rear (“-F”) airflow configuration.
Power Efficiency and Thermal Design
The
DCS-7060X6-64PE-F delivers approximately
10 W per active 800G port at typical utilization (640 W typical, 2218 W maximum), with redundant power supplies supporting both AC and DC inputs. The power envelope represents strong energy efficiency relative to the bandwidth delivered — this is substantially lower per-gigabit than equivalent density achieved with 400G platforms. Dual 2400W redundant, hot-swappable power supplies (PWR-2421 HV-AC/DC-RED or PWR-2411-MC-RED) ensure continuous operation through PSU failures without scheduled maintenance windows.
Compliance and Sustainability
- RoHS and WEEE compliant — Advanced switching architecture delivers high efficiency with low power per gigabit at 800G density
- Secure boot with digitally signed EOS images to prevent unauthorized firmware modifications
- Compact 2RU form factor maximizes 800G port density per rack unit in AI cluster deployments
Security Features
- Secure boot and digitally signed EOS images
- Role-Based Access Control (RBAC) for granular operator and administrator separation
- TACACS+/RADIUS/LDAP for centralized authentication and accounting
- ACLs for traffic policy and cluster-layer segmentation enforcement at 800G line rate
- Control Plane Policing (CoPP) to protect the switch CPU from volumetric attacks targeting the management plane
Deployment Scenarios and Industry Applications
- AI/ML Training Clusters: The primary use case the X6-64PE is engineered for — 64×800G switching fabric with 165 MB buffer for GPU-to-GPU all-reduce traffic, Dynamic Load Balancing for real-time path rebalancing, Packet Spraying for scatter/gather optimization, and LANZ/AI Analyzer for synchronized operation monitoring. Supports RoCEv2 for GPU-Direct RDMA across the fabric. Typical deployment: front-of-rack (ToR) or middle-of-row aggregation for 100s to 1000s of H100/H200 GPUs sharing synchronized training workloads.
- High-Performance NVMe-oF Storage Networks: 51.2 Tbps non-blocking capacity with 165 MB buffer depth and true egress mirror support for storage fabrics where burst tolerance and consistent I/O latency directly determine application performance. Handles many-to-one traffic patterns from hundreds of compute nodes simultaneously reading from shared NVMe-oF storage pools.
- HPC and Supercomputing Clusters: High-frequency message-passing workloads generating synchronized incast patterns benefit from 165 MB buffer depth, 128-way ECMP, and Advanced DCQCN for consistent job completion times. MPI collectives are optimized with Cluster Load Balancing and Packet Spraying.
- Hyperscale and Cloud Data Centers: 51.2 Tbps non-blocking capacity with 128-way ECMP for full-bisection-bandwidth cloud fabric designs and multi-tenant AI cluster deployments requiring network isolation via VXLAN/EVPN.
- Large Enterprise AI Deployments: For organizations consolidating multiple AI clusters into single data center facilities, the 7060X6-64PE provides ultra-high port density in 2RU, reducing footprint and power requirements while delivering 165 MB buffer for bursty enterprise AI workloads alongside production storage networks.
Lifecycle, Reliability, and Future-Proofing
The
7060X6-64PE-F is built for long operational lifecycles with high MTBF ratings, field-replaceable fans, power supplies, and supervisor cards. The modular supervisor card design is a key differentiator — it enables in-service upgrades without chassis replacement, substantially extending the operational lifetime of the platform. As 800G becomes the standard for AI cluster back-end interconnects and next-generation storage networks, the X6-64PE is positioned as a long-lived cluster asset rather than a transitional platform. Its support for Linear Pluggable Optics (LPO) and future-ready 800GBASE-ETC standard compatibility protects optics investments as the ecosystem evolves.
Similar Arista 7060 Models to Consider
- Arista DCS-7060X6-32PE-F – 32×800G 7060X6 switch with 84 MB buffer in 1RU form factor. The right choice when 1RU footprint is required and 32 ports at 800G provide sufficient cluster density.
- Arista DCS-7060DX4-32-F – 32×400G 1RU spine switch with 64 MB buffer and 25.6 Tbps throughput. Consider for organizations not yet at 800G port speeds or for traditional spine architectures.
- Arista DCS-7060CX2-32S-F – 32×100G 1RU spine switch with 22 MB buffer and 450 ns latency. Legacy platform for organizations requiring 100G-only deployments.
Related 7060X Resources
Arista 7060 Series Switches: Architecture, Models, and Deployment Guide
The 800G Cluster Switch Built for AI/ML at Scale
The
Arista DCS-7060X6-64PE-F brings together 51.2 Tbps of non-blocking capacity, 64 native 800G OSFP ports, 165 MB of shared packet buffer, modular supervisor card serviceability, and the full depth of Arista EOS automation into a 2RU cluster switch purpose-engineered for the workloads that define modern AI infrastructure — synchronized GPU collective operations, high-throughput storage I/O, and massive-scale data center AI clusters. Its front-to-rear airflow makes it the natural fit for standard hot-aisle/cold-aisle AI data centers, and its native 800G port density enables organizations to consolidate hundreds of GPUs and exabyte-scale storage into minimal rack footprint. Available from BrightStar Systems fully tested, reset to factory defaults, and backed by a 1-year in-house warranty.
