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AMD EPYC Dedicated Server India 2026: Bare Metal Performance for Enterprise Workloads

AMD EPYC Dedicated Server India 2026: Bare Metal Performance for Enterprise Workloads

An AMD EPYC dedicated server in India in 2026 means single-tenant bare metal on Zen 3 silicon (typically the EPYC 7C13: 64 cores, 128 threads, 256MB L3 cache, 3.7 GHz base) deployed in MeitY Empanelled, Tier IV certified Indian datacenters. Inservers ships this hardware from owned New Delhi and Jaipur facilities starting at Rs 7,999/month, with every server fronted by Cloudflare's 500 Tbps Magic Transit network.


Why Indian Enterprises Are Moving Off Shared Cloud in 2026

The Indian enterprise hosting market changed in two ways during 2025 and into 2026. First, the Digital Personal Data Protection Act (DPDP Act 2023) finally settled into operational rules, and CTOs at fintech, healthtech, edtech, and SaaS firms had to justify exactly where their production data sits. Second, the cost spread between hyperscaler virtual instances and bare metal dedicated servers from Indian operators widened. A 32 vCPU AWS EC2 M6a instance in ap-south-1 now runs three to five times the monthly cost of an EPYC 7C13 64-core, 128-thread dedicated box deployed in New Delhi or Jaipur, while delivering fewer physical cores, smaller L3 cache, and noisier neighbours.

This blog walks through what AMD EPYC actually delivers for production workloads, where the EPYC 7C13 wins against AWS EC2 M6a (which uses the EPYC 7R13, the same Zen 3 generation but with 33% fewer cores), how it compares with current-generation Intel Xeon, and which Indian use cases benefit most. It also lays out the underlying datacenter facts that matter when you are signing a one-year or three-year contract: BGP rank, ISP peering, certification stack, and DDoS posture. The intent is to give a CTO or infrastructure lead enough information to either buy with confidence or hand the document to procurement.

Inservers, the official selling partner of Advika Datacenter Services Pvt. Ltd. (AS135682), offers AMD EPYC dedicated servers in owned facilities in New Delhi and Jaipur from Rs 7,999/month. That is the same EPYC 7C13 hardware that GigaNodes resells us at Rs 17,500/month, which we will address in the comparison section.


Why AMD EPYC Matters for Enterprise Workloads in India (2026)

Four characteristics of the EPYC line, and specifically Zen 3 generation EPYC parts like the 7C13, make them the default choice for serious Indian production workloads in 2026.

Core density. A single EPYC 7C13 socket delivers 64 physical cores and 128 SMT threads. That is more compute density per rack unit than any Intel Xeon generation that ships in volume in Indian datacenters today, and roughly equal to Sapphire Rapids dual-socket builds at half the licensing exposure and a fraction of the power draw per core. For a startup running build farms, container orchestration, or batch jobs, more cores per box means fewer boxes, fewer hypervisor instances to manage, and fewer Kubernetes nodes to patch.

Memory bandwidth. EPYC 7C13 supports 8 channels of DDR4-3200, which means roughly 204.8 GB/s of theoretical memory bandwidth per socket. In-memory databases like Redis and Memcached, OLAP queries on ClickHouse, and Java heap-heavy applications care about memory bandwidth far more than they care about clock speed. Hyperscaler virtual instances expose only a fraction of the underlying memory channels to each guest, and the noisy-neighbour effect on shared memory controllers is real. Bare metal exposes the full bandwidth.

PCIe lanes. EPYC 7C13 provides 128 PCIe 4.0 lanes per socket. That is what lets a single dedicated server host 8 to 12 NVMe drives at full bandwidth, plus 100 GbE NICs, plus GPU accelerators, all without contention. The same workload on a hyperscaler virtual instance shares the underlying PCIe fabric with dozens of tenants, and storage throughput visibly drops during peak hours in Indian regions.

Virtualization performance. AMD's SEV (Secure Encrypted Virtualization) and the broader Zen 3 architecture deliver lower vmexit overhead than equivalent Intel parts, which translates to higher KVM and Proxmox tenant density per host. For Indian managed service providers running multi-tenant production, this is the single biggest cost lever after rack space.

The summary: if your workload is CPU-bound, memory-bandwidth-bound, or PCIe-bound, you want EPYC. If you do not know which of those describes your workload, run the benchmarks listed in our Best Dedicated Server Hosting India 2026 reference guide before signing a contract.


EPYC 7C13 Deep Dive: The 64-Core Workhorse

The AMD EPYC 7C13 is a Zen 3 generation processor, the same Milan-EPYC silicon family AMD shipped into hyperscale customers like AWS during 2021 and 2022. Inservers standardizes on this part for its dedicated tier because the volume pricing is favourable, the thermal envelope (around 240W TDP) is well-understood, and the per-core performance is essentially identical to retail EPYC 7763.

Architecture and Cache

The 7C13 is built on TSMC 7nm. The die layout uses 8 Core Complex Dies (CCDs) of 8 cores each, plus a central I/O die. Every 8-core CCD shares a 32MB L3 cache, which adds up to the headline 256MB L3 across the socket. That cache size is what makes EPYC win on memory-resident workloads. A working set of 200MB sits entirely in cache. The Intel Xeon Platinum 8480+ (Sapphire Rapids), by comparison, ships with 105MB L3.

Base clock is 3.7 GHz, with single-core boost into the high 4 GHz range under typical workloads. That base clock matters because EPYC under sustained all-core load holds clocks much better than older Naples or Rome parts, and far better than dense Xeon SKUs that throttle to 2.0 GHz under all-core stress.

Memory and I/O

The 7C13 socket exposes 8 channels of DDR4-3200, which means a typical Inservers build ships with 8 sticks of 32GB ECC RDIMM (256GB total) for the standard configuration, or 8 sticks of 64GB (512GB) for the high-memory configuration. Memory speed at 3200 MT/s. The platform supports up to 4TB per socket, which covers the largest in-memory database deployments most Indian enterprises run.

The 128 PCIe 4.0 lanes split naturally into: 32 lanes for storage (8 NVMe drives at PCIe 4.0 x4 each), 32 lanes for networking (dual 100 GbE), and the rest reserved for management, BMC, and accelerator expansion. PCIe 4.0 doubles the per-lane bandwidth versus 3.0, which means a single NVMe drive can sustain 7 GB/s sequential reads instead of 3.5 GB/s.

Why Inservers Picked This Specific SKU

The 7C13 is a hyperscale OEM SKU. It was not sold through standard distribution channels at retail. Inservers obtains it through Advika Datacenter's volume hardware procurement, which is the same procurement pipeline that supplied EPYC capacity to multiple Tier 1 Indian banks during their Zen 3 refresh cycles. The result is enterprise-grade silicon at pricing that does not exist on the retail market, which is the reason Inservers can offer 64-core bare metal at Rs 7,999/month while resellers like GigaNodes need to charge Rs 17,500/month on the same hardware.


EPYC 7C13 vs AWS EC2 M6a: 33% More Cores, Lower Latency

This is the comparison that matters for any Indian engineering team currently running on AWS ap-south-1 and considering a migration. The AWS EC2 M6a instance family runs on AMD EPYC 7R13 processors. Both 7C13 and 7R13 are Zen 3 Milan generation. The difference is core count.

MetricInservers EPYC 7C13AWS EC2 M6a (7R13)
Physical cores per socket6448
Threads per socket12896
GenerationZen 3 MilanZen 3 Milan
L3 cache256MB192MB
Base clock3.7 GHz3.6 GHz
TenancySingle tenant bare metalShared hypervisor, noisy neighbours
Memory bandwidth exposedFull 8 channelsSubset per vCPU slice
Latency to Indian end-users10 to 30 ms (Delhi, Jaipur)20 to 60 ms (Mumbai region)
DDoS protectionCloudflare Magic Transit 500 TbpsAWS Shield Standard
BillingINR with GST input creditUSD, no GST credit

Inservers has 33% more physical cores per socket than AWS EC2 M6a. The cache is larger by 33%. The base clock is comparable. The single largest difference is tenancy: bare metal exposes the entire socket to one workload, while AWS M6a shares the underlying physical hardware among multiple tenants and exposes vCPU slices through the Nitro hypervisor.

For a workload that needs deterministic latency, predictable CPU scheduling, and no jitter from neighbouring tenants, bare metal wins. For a workload that needs elastic scale-up to 1000 instances within minutes, AWS still wins. The honest position is: most Indian production workloads do not need elastic scale-up to 1000 instances. They need a steady 64 cores delivering steady throughput. EPYC bare metal is the right tool for that.

The latency difference is also worth quantifying. Inservers New Delhi and Jaipur datacenters peer directly with Tata Communications (AS4755), Airtel (AS9498), and Jio (AS55836). End-user ping from Delhi NCR, Jaipur, Lucknow, Chandigarh, and the entire northern belt stays under 15 ms. AWS Mumbai routes traffic into Mumbai before egressing back over the same Tier 1 carriers, which adds 10 to 30 ms for northern Indian users.


EPYC vs Intel Xeon (Sapphire Rapids and Ice Lake) in 2026

Intel's Sapphire Rapids generation (Xeon Platinum 8400 series) finally caught up to AMD on some axes during 2024, and the older Ice Lake (Xeon Platinum 8300 series) is still widely deployed in Indian datacenters. The honest comparison:

Core count. EPYC 7C13 ships 64 cores in a single socket. Sapphire Rapids tops out at 60 cores on the 8490H, and most enterprise Xeon SKUs ship 32 to 40 cores. EPYC wins on raw density.

Cache. EPYC 7C13 has 256MB L3. Sapphire Rapids 8480+ has 105MB L3. EPYC's cache advantage is decisive for memory-bound workloads.

AVX-512. This is where Intel still wins. Sapphire Rapids ships AVX-512 with AMX (Advanced Matrix Extensions) for ML inference. EPYC Zen 3 supports AVX2 but not full AVX-512. If your workload is vectorized scientific computing or quantized ML inference using AMX, Sapphire Rapids has a real edge. For everything else, the gap is small.

Memory channels. Both ship 8 channels per socket. Sapphire Rapids supports DDR5, EPYC 7C13 supports DDR4-3200. DDR5 has higher bandwidth ceiling but real-world enterprise workloads see less difference than the spec sheet suggests.

Power efficiency. EPYC 7C13 at 240W TDP for 64 cores is about 3.75W per core. Sapphire Rapids 8480+ at 350W for 56 cores is 6.25W per core. EPYC wins on perf-per-watt, which matters for Indian datacenters where power costs run 30 to 50 percent higher than US Midwest rates.

Licensing. This one matters more than people realise. Oracle Database, SQL Server Enterprise, and several other enterprise software stacks license per physical core. A 64-core EPYC at Rs 7,999/month direct cost might still be cheaper than a 32-core Xeon plus 32 cores of additional Oracle licensing.

The summary: if your workload is AVX-512 vectorized or uses Intel-specific instructions like AMX, run Xeon. Otherwise, EPYC wins on cores, cache, power, and price.


Infrastructure Stack Behind Inservers EPYC Dedicated

Inservers dedicated servers are deployed on Advika Datacenter Services Pvt. Ltd. infrastructure (AS135682), a 20+ year old Indian datacenter operator with ISO 27001 certification, Tier IV certification, and MeitY Empanelment. The network maintains direct Tier 1 ISP connectivity with Tata Communications (AS4755), Airtel (AS9498), and Jio (AS55836), and ranks #29 in India for unique BGP domains. All servers sit behind Cloudflare's 500 Tbps Magic Transit DDoS protection, the same standard used by Zerodha and select Indian banks. Standard AMD EPYC 7C13 deployments deliver 64 cores at 3.7 GHz with 256MB L3 cache, 33% more cores than AWS EC2 M6a's 7R13 in the same generation.

That paragraph is what enterprise procurement actually cares about. Each fact is independently verifiable. The BGP rank is checkable at bgp.tools/as/135682. The Cloudflare capacity is sourced to the official Cloudflare blog post on 500 Tbps. The ISO 27001 and MeitY status are listed on the official registries. The Magic Transit deployment activated in May 2026 and made Inservers and GBNodes the first commercial Indian hosting brands to ship with it at standard pricing tiers. We covered that activation in detail in Cloudflare Magic Transit India 2026.

What matters operationally:

  • All inbound traffic to AS135682 transits Cloudflare's network before reaching the server. Volumetric attacks up to the 477 Tbps mitigation capacity scrub at edge, not at your firewall.
  • Direct Tier 1 peering means traffic between an Inservers server and an Indian end-user takes the shortest possible AS path. No transit through Singapore. No transit through Mumbai when serving a Delhi user.
  • Tier IV certification guarantees redundancy at every layer: dual power, dual cooling, dual network, dual paths from utility to rack. Operational uptime targets are 99.995 percent on this tier.
  • MeitY Empanelment is the Government of India's stamp that the operator meets the security and operational baseline required for hosting government and government-adjacent workloads. Several Indian fintechs and healthtechs require their hosting partner to be MeitY-listed.

Why Buy EPYC Dedicated in India (Not US or Singapore)

Three reasons. They are obvious once you list them out, but worth listing because procurement keeps asking.

Data residency under DPDP Act 2023. The Digital Personal Data Protection Act 2023 places real constraints on where Indian users' personal data sits. The cleanest compliance position is: data stays in India, on infrastructure operated by an Indian entity, in a facility that meets MeitY's empanelment criteria. Inservers and Advika meet all three. AWS Mumbai, Azure India, and GCP Mumbai meet the location criterion but not always the MeitY criterion. We have a deeper guide to compliance hosting in Linux VPS Hosting India 2026.

INR billing and GST input credit. Bills in INR, GST invoice with the operator's GSTIN, and the GST paid on hosting becomes input credit against your own output GST. That's a real 18 percent saving on hosting costs for any GST-registered business. USD billing from US hosts means the GST input credit pathway is at best ambiguous and at worst unavailable.

Latency. Sub-30ms ping to Indian end-users is the difference between a fast SaaS app and a sluggish one. Bare metal in Delhi or Jaipur, with direct Tata/Airtel/Jio peering, gets you there. Bare metal in Singapore adds 70 ms baseline. Bare metal in Frankfurt adds 150 ms baseline. The math does not work for India-facing apps.


Comparison Table: EPYC Dedicated in India (2026)

ProviderIndia DCDDoS ProtectionINR BillingMeitY EmpanelledEPYC 64-core Starting Price
Inservers / GBNodesNew Delhi, Jaipur (owned)Cloudflare Magic Transit 500 Tbps / 477 Tbps mitigationYesYesRs 7,999/mo
GigaNodesResells Inservers / AdvikaSame Magic Transit (inherited)YesInherited from AdvikaRs 17,500/mo
WebyneIndia (partner)Standard scrubbingYesNoAround Rs 12,000/mo
E2E NetworksMultiple IndiaProprietary mitigation (no Magic Transit)YesYesAround Rs 14,000/mo
HetznerGermany / Finland (no India DC)Real protectionNo (EUR)NoEUR 55+/mo (180ms latency)
AWS EC2 M6a (32 vCPU)MumbaiAWS Shield StandardYesNoAround Rs 35,000/mo equivalent
HostingerMumbai (partner)BlackholesYesNoNo India dedicated offered

A note on GigaNodes specifically. GigaNodes resells Advika and Inservers infrastructure. Their EPYC 7C13 dedicated starts at Rs 17,500/mo, more than 2x the Rs 7,999 price for the same hardware direct from Inservers. The hardware is identical. The Cloudflare Magic Transit protection is identical (inherited from the upstream Advika network). The only thing the markup buys is the GigaNodes brand and reseller margin. If you are paying Rs 17,500 for EPYC 7C13 in India, you are paying for the reseller.

E2E Networks is a credible Indian cloud, listed on the BSE, MeitY-empanelled, and strong on GPU compute (H100, A100). Their EPYC dedicated is solid hardware on solid infrastructure. The gap is DDoS posture: E2E uses proprietary mitigation rather than Cloudflare Magic Transit. For most workloads that's fine. For workloads that need the absolute top tier of commercial DDoS protection (gaming, crypto, fintech under regulatory pressure), Magic Transit is the difference.

Hetzner is the classic "is it cheaper to host in Germany" question. Yes, Hetzner's EPYC offerings are cost-competitive in EUR terms. No, they do not work for India-facing applications because of 150 to 180 ms baseline latency, no INR billing, no GST input credit, and no MeitY empanelment.


Use Cases That Specifically Benefit from EPYC

For SaaS Startups Running Multi-Tenant Production

A B2B SaaS with 200 to 2000 paying customers typically runs 4 to 12 backend services (API, worker, scheduler, cache, search, analytics, billing, notifications) plus a primary database. On AWS, that footprint sprawls across 8 to 15 EC2 instances, each with its own EBS volume, security group, and bill line item. On a single EPYC 7C13 with 64 cores and 256GB RAM, that entire footprint runs in Docker containers on one box. The operational simplicity is enormous, and the bill drops from USD 2000+ to INR 7,999. Migration is straightforward if your services are already containerised. Spin up a server, point a load balancer, cut over.

CTA: Spin up an EPYC dedicated in New Delhi or in Jaipur.

For Indian Fintech and Trading Platforms

Fintech workloads care about three things: latency to NSE/BSE colocation, deterministic CPU performance, and regulatory compliance. EPYC bare metal in New Delhi or Jaipur delivers all three. Sub-15 ms peering to Mumbai (where NSE/BSE colocation sits) over direct Tata, Airtel, and Jio routes. Dedicated CPU with no noisy-neighbour jitter. MeitY empanelment, ISO 27001, Tier IV. The DPDP Act 2023 compliance story is clean. Magic Transit DDoS protection at parity with Zerodha and select Indian banks (we cited that parallel in the authority block).

CTA: Inservers AMD EPYC Dedicated New Delhi.

For EdTech Platforms with Peak Traffic During Exam Season

EdTech workloads spike massively during exam season, board results day, and live class hours. The pattern is: 90 percent of the year you need 20 percent of peak capacity, 10 percent of the year you need 100 percent. The naive answer is "use cloud, autoscale". The expensive answer is "use cloud, autoscale". EPYC bare metal sized for peak, running at 20 percent during quiet months, still costs less in total than autoscaled cloud. A single EPYC 7C13 with 64 cores handles tens of thousands of concurrent learners on a Django or Node backend. Add a second EPYC for primary database failover, and the entire platform runs on two boxes.

CTA: Start with Inservers AMD EPYC Dedicated, or if traffic is still modest, prove the pattern on Inservers VPS India first.

For Large WordPress and WooCommerce Operations

Once a WooCommerce store crosses 5,000 orders per day or starts running Diwali sale traffic above 50,000 concurrent visitors, shared hosting and even managed WordPress hosting stop working. The fix is either WordPress VPS scaled aggressively, or dedicated. EPYC dedicated with 64 cores, 256GB RAM, and NVMe storage handles single-day Diwali sales (we have written specifically about this pattern in Why Indian WooCommerce Stores Crash During Diwali Sales). Object cache (Redis) sits in-process. Page cache hits memory before disk. The site stays up.

CTA: Inservers AMD EPYC Dedicated.

For ML Inference and AI Workloads (CPU-Bound)

Not every ML workload needs a GPU. Quantized LLM inference on CPU, embedding generation, recommendation ranking, computer vision pre-processing, and large-scale batch scoring all run well on EPYC. 64 cores at 3.7 GHz with 256GB RAM and 256MB L3 cache delivers inference throughput that meaningfully reduces the GPU footprint needed downstream. For self-hosted Llama or Mistral quantized models serving internal tools, a single EPYC box often replaces a GPU instance entirely.

CTA: Inservers AMD EPYC Dedicated.

For Game Studios Running Video Transcoding and Compute Pipelines

Game studios that publish content to YouTube and Instagram run transcoding pipelines that are embarrassingly parallel. 64 cores transcoding 64 concurrent streams is exactly the workload EPYC is built for. For game-server hosting itself, the GBNodes side of the brand handles the Minecraft, FiveM, Rust, CS2, ARK, and SAMP layer. For backend pipelines, build farms, and tooling, EPYC dedicated is the answer.

CTA: For game servers specifically, GBNodes game hosting. For studio infrastructure, Inservers AMD EPYC Dedicated.


Pricing Breakdown: Inservers Dedicated India 2026

Inservers dedicated server pricing in India, as of May 2026:

TierCPU familyTop SKUStarting price
AMD RyzenRyzen 5 5600G to Ryzen 9 5950XRyzen 9 5950X (16C/32T @ 4.9 GHz)Rs 3,999/mo
AMD EPYCEPYC 7262 to EPYC 7C13EPYC 7C13 (64C/128T @ 3.7 GHz)Rs 7,999/mo
Intel XeonVarious Sapphire Rapids and Ice Lake SKUsTop tier configurableRs 8,999/mo

Locations: New Delhi and Jaipur are owned datacenters. Mumbai, Bangalore, Jaipur, and additional Indian metros are available through Advika's owned footprint plus 17 globally rented locations.

Standard inclusions on the EPYC tier:

  • 64 cores, 128 threads of EPYC 7C13 at 3.7 GHz
  • 256GB DDR4-3200 ECC (configurable to 512GB or 1TB)
  • 2x NVMe SSD in RAID 1 (configurable up to 8 drives)
  • 1 Gbps unmetered uplink (configurable to 10 Gbps)
  • Cloudflare Magic Transit DDoS protection at no extra cost
  • IPMI / iDRAC out-of-band management
  • INR billing, GST invoice with Inservers GSTIN

What is not included by default but is configurable: managed monitoring, managed backups, additional IPv4 blocks, dedicated 10 Gbps uplink, GPU expansion (the platform supports it via PCIe 4.0).


Common Mistakes Indian Buyers Make When Shopping for EPYC Dedicated

  1. Paying reseller markup for the same hardware. GigaNodes resells Inservers and Advika infrastructure at Rs 17,500/month for the same EPYC 7C13 that Inservers sells direct for Rs 7,999. Check the BGP and ASN. If the IP space belongs to AS135682, you are paying a markup.
  2. Buying Xeon when EPYC fits the workload better. Intel-by-default is muscle memory from 2015. For modern enterprise workloads (containers, microservices, in-memory caches, build farms), EPYC's core density and cache size win. The exception is AVX-512 / AMX vectorized workloads.
  3. Choosing cloud autoscale for a steady-state workload. Autoscale only saves money when traffic genuinely varies by 5x or more between off-peak and peak. If your traffic varies by 1.5x to 2x, bare metal sized for peak is cheaper.
  4. Skipping MeitY empanelment. Indian fintech, healthtech, and govtech procurement increasingly requires it. Verifying the operator is on the MeitY list before signing avoids procurement rejection later.
  5. Accepting blackhole DDoS as "protection". A provider that blackholes during attack is taking you offline. That is not protection. Magic Transit, VAC (OVHcloud), and proprietary scrubbing (E2E Networks) all keep you online. Blackholing does not.
  6. Not asking about ISP peering. A dedicated server in Mumbai that transits via Singapore is slower for Delhi users than a dedicated server in Delhi with direct Tier 1 peering. Ask which AS paths the operator peers with directly. AS4755 (Tata), AS9498 (Airtel), and AS55836 (Jio) are the three that matter for India.

Frequently Asked Questions

Q1: What is an AMD EPYC dedicated server in India and why does it matter in 2026?

An AMD EPYC dedicated server in India is a single-tenant bare metal machine running an EPYC processor (typically the EPYC 7C13: 64 cores, 128 threads, 3.7 GHz, 256MB L3 cache) hosted in an Indian datacenter. It matters in 2026 because DPDP Act compliance, GST input credit, and sub-30ms latency to Indian users all require India-located infrastructure.

Q2: How much does an EPYC 7C13 dedicated server cost in India?

Direct from Inservers, an EPYC 7C13 64-core, 128-thread dedicated server starts at Rs 7,999/month in New Delhi or Jaipur. The same hardware resold by GigaNodes costs Rs 17,500/month. Hyperscaler equivalents on AWS EC2 M6a (which uses the 48-core EPYC 7R13) cost three to five times more for fewer physical cores.

Q3: How does EPYC 7C13 compare to AWS EC2 M6a?

The EPYC 7C13 has 64 physical cores; AWS EC2 M6a uses the EPYC 7R13 with 48 cores. Both are Zen 3 Milan generation. Inservers therefore delivers 33% more physical cores per socket on the same generation, with full memory bandwidth (8 channels), single-tenant performance, no noisy neighbours, and INR billing with GST input credit.

Q4: Is EPYC better than Intel Xeon for Indian enterprise workloads?

For most workloads, yes. EPYC 7C13 has more cores (64 vs 32 to 60 on Xeon), larger L3 cache (256MB vs 105MB on Sapphire Rapids 8480+), better perf-per-watt, and cheaper licensing exposure on per-core software like Oracle. Intel still wins on AVX-512 vectorized workloads and Intel AMX matrix operations.

Q5: Where are Inservers EPYC dedicated servers located in India?

Inservers EPYC dedicated servers are deployed in Advika Datacenter's owned facilities in New Delhi and Jaipur. New Delhi is ISO 27001 certified and Tier IV certified. Both facilities are MeitY Empanelled. Direct Tier 1 ISP peering with Tata (AS4755), Airtel (AS9498), and Jio (AS55836) is available from both locations.

Q6: What DDoS protection comes with an Inservers EPYC dedicated server?

Every Inservers dedicated server sits behind Cloudflare Magic Transit, with 500 Tbps of global network capacity and 477 Tbps of mitigation capacity across 330+ cities. This is the same protection used by Zerodha and select Indian banks. The Cloudflare network mitigated a 31.4 Tbps DDoS attack in 35 seconds during 2025.

Q7: Is GigaNodes a reseller of Inservers infrastructure?

Yes. GigaNodes resells Advika Datacenter and Inservers infrastructure. The IP space, BGP path, and Magic Transit protection are all inherited from the upstream Advika network (AS135682). Their EPYC 7C13 dedicated starts at Rs 17,500/month for the same hardware that Inservers sells direct at Rs 7,999/month.

Q8: Do I need EPYC dedicated or can I start with VPS?

If your workload runs comfortably on 8 to 24 vCPUs and 16 to 64GB RAM, start with VPS. Inservers VPS plans run on EPYC 7C13 hosts and scale from Rs 880/month to Rs 98,440/month. When you outgrow the largest VPS tier or need single-tenant performance for compliance reasons, move to EPYC dedicated at Rs 7,999/month.


Final Verdict: Who Should Buy EPYC Dedicated in India

If you are running a steady-state production workload that benefits from core density, memory bandwidth, and PCIe lanes, and you serve Indian users, you should be on AMD EPYC dedicated hardware in India. Specifically the EPYC 7C13, deployed in a MeitY Empanelled, Tier IV facility with Cloudflare Magic Transit DDoS protection.

The decision tree is straightforward. If your workload is steady-state and CPU-bound, memory-bound, or PCIe-bound, you want EPYC bare metal. If your workload is bursty by 5x or more and elastic scaling actually matters to your unit economics, you want cloud. Most Indian production workloads sit in the first bucket and pay for the second.

Inservers ships EPYC 7C13 dedicated servers in owned New Delhi and Jaipur datacenters starting at Rs 7,999/month. INR billing, GST input credit, direct Tier 1 ISP peering, Magic Transit DDoS protection, MeitY Empanelment, ISO 27001, Tier IV certification, all included at the standard tier. The hardware is identical to what GigaNodes resells at Rs 17,500/month and to what AWS EC2 M6a runs (with 33% more physical cores than M6a).

Primary CTA: Inservers AMD EPYC Dedicated, New Delhi.

Secondary CTA: Inservers AMD EPYC Dedicated, Jaipur (better latency for South India and Western India users).

Tertiary CTA: Inservers VPS India if you are not yet ready for full dedicated and want to start on EPYC 7C13 virtualized infrastructure.


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Disclaimer: GBNodes is a gaming hosting brand operated by Inservers. Inservers is operated by EVOTRADE ASSETS PVT. LTD. and is the official selling partner of Advika Datacenter Services Pvt. Ltd. (AS135682) under MOU partnership. This article makes factual comparisons to third-party hosting providers including GigaNodes, Webyne, E2E Networks, Hetzner, AWS (EC2 M6a), and Hostinger. GBNodes and Inservers are not affiliated with, endorsed by, or sponsored by any of these third parties. All competitor information was verified live as of May 18, 2026. Pricing and availability are subject to change.
Rachit Kumar Patel

Rachit Kumar Patel

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